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ORCID48th SIGIR 2025: Padua, Italy
- Nicola Ferro, Maria Maistro, Gabriella Pasi, Omar Alonso, Andrew Trotman, Suzan Verberne:
Proceedings of the 48th International ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR 2025, Padua, Italy, July 13-18, 2025. ACM 2025, ISBN 979-8-4007-1592-1
Keynotes
- Ophir Frieder:
Digital Health. 1-2 - Iryna Gurevych:
Please meet AI, Our Dear New Colleague. In other Words: Can Scientists and Machines Truly Cooperate? 3-4 - Stephen Robertson:
BM25 and all that - a look back. 5-8
Conversational IR and Intelligent Agents
- Simon Lupart, Mohammad Aliannejadi, Evangelos Kanoulas:
DiSCo: LLM Knowledge Distillation for Efficient Sparse Retrieval in Conversational Search. 9-19 - Anfu Tang, Laure Soulier, Vincent Guigue:
Clarifying Ambiguities: on the Role of Ambiguity Types in Prompting Methods for Clarification Generation. 20-30 - Guojia An, Jie Zou, Jiwei Wei, Chaoning Zhang, Fuming Sun, Yang Yang:
Beyond Whole Dialogue Modeling: Contextual Disentanglement for Conversational Recommendation. 31-41 - Yibiao Wei, Jie Zou, Weikang Guo, Guoqing Wang, Xing Xu, Yang Yang:
MSCRS: Multi-modal Semantic Graph Prompt Learning Framework for Conversational Recommender Systems. 42-52 - Renting Rui, Yunjia Xi, Weiwen Liu, Jianghao Lin, Bo Chen, Ruiming Tang, Weinan Zhang, Yong Yu:
Action First: Leveraging Preference-Aware Actions for More Effective Decision-Making in Interactive Recommender Systems. 53-63 - Chuan Meng, Francesco Tonolini, Fengran Mo, Nikolaos Aletras, Emine Yilmaz, Gabriella Kazai:
Bridging the Gap: From Ad-hoc to Proactive Search in Conversations. 64-74 - Xiaolei Wang, Chunxuan Xia, Junyi Li, Fanzhe Meng, Lei Huang, Jinpeng Wang, Wayne Xin Zhao, Ji-Rong Wen:
Search-Based Interaction For Conversation Recommendation via Generative Reward Model Based Simulated User. 75-84
Benchmarks and Datasets
- Yong Zhou, Shuaipeng Liu, Yunqing Li, Mengting Hu, Wen Dai, Xiaowei Zhao, Xiujuan Xu:
OmniNER2025: Diverse and Comprehensive Fine-Grained NER Dataset and Benchmark for Chinese. 85-94 - Rikiya Takehi, Ellen M. Voorhees, Tetsuya Sakai, Ian Soboroff:
LLM-Assisted Relevance Assessments: When Should We Ask LLMs for Help? 95-105 - Baolong Liu, Roukai Huang, Xin Pan, Chuanhuang Li, Jie Sun, Jianfeng Dong, Xun Wang:
Advancing Ship Re-Identification in the Wild: The ShipReID-2400 Benchmark Dataset and D2InterNet Baseline Method. 106-115 - Xiao Zhou, Qiaosheng Chen, Jiageng Chen, Gong Cheng:
μDS: Multi-Objective Data Snippet Extraction for Dataset Search. 116-126 - Ning Han, Yawen Zeng, Shaohua Long, Chengqing Li, Sijie Yang, Dun Tan, Jianfeng Dong, Jingjing Chen:
IVCR-200K: A Large-Scale Multi-turn Dialogue Benchmark for Interactive Video Corpus Retrieval. 127-137 - Tianzhe Zhao, Jiaoyan Chen, Yanchi Ru, Qika Lin, Yuxia Geng, Haiping Zhu, Yudai Pan, Jun Liu:
Rethinking Continual Knowledge Graph Embedding: Benchmarks and Analysis. 138-147
Evaluation
- Wenbo Zhang, Fan Zhang, Jia Chen, Wei Lu:
Towards Better Evaluating Multi-Query Sessions: A Measure Based on the Theory of Planned Behavior. 148-158 - Lukas Gienapp, Tim Hagen, Maik Fröbe, Matthias Hagen, Benno Stein, Martin Potthast, Harrisen Scells:
The Viability of Crowdsourcing for RAG Evaluation. 159-169 - Henrik Brådland, Morten Goodwin, Per-Arne Andersen, Alexander Salveson Nossum, Aditya Gupta:
A New HOPE: Domain-agnostic Automatic Evaluation of Text Chunking. 170-179 - Ronak Pradeep, Nandan Thakur, Shivani Upadhyay, Daniel Campos, Nick Craswell, Ian Soboroff, Hoa Trang Dang, Jimmy Lin:
The Great Nugget Recall: Automating Fact Extraction and RAG Evaluation with Large Language Models. 180-190 - Yuanzhao Zhai, Zhuo Zhang, Cheng Yang, Kele Xu, Yue Yu, Wei Li, Hui Wang, Zenglin Xu, Dawei Feng, Bo Ding, Huaimin Wang:
Preference-Strength-Aware Self-Improving Alignment with Generative Preference Models. 191-200 - Xiaopeng Ye, Chen Xu, Zhongxiang Sun, Jun Xu, Gang Wang, Zhenhua Dong, Ji-Rong Wen:
LLM-Empowered Creator Simulation for Long-Term Evaluation of Recommender Systems Under Information Asymmetry. 201-211
Domain-specific Applications 1
- Mingzhe Yu, Yunshan Ma, Lei Wu, Changshuo Wang, Xue Li, Lei Meng:
FashionDPO: Fine-tune Fashion Outfit Generation Model using Direct Preference Optimization. 212-222 - Jianfeng Dong, Junwei Zhu, Daizong Liu, Xiaoye Qu, Cuizhu Bao, Zhike Han, Jixiang Zhu, Xun Wang:
Open-World Fine-Grained Fashion Retrieval with LLM-based Commonsense Knowledge Infusion. 223-232 - Chunyuan Zheng, Hang Pan, Yang Zhang, Haoxuan Li:
Adaptive Structure Learning with Partial Parameter Sharing for Post-Click Conversion Rate Prediction. 233-243 - Jingtong Gao, Yewen Li, Shuai Mao, Peng Jiang, Nan Jiang, Yejing Wang, Qingpeng Cai, Fei Pan, Peng Jiang, Kun Gai, Bo An, Xiangyu Zhao:
Generative Auto-Bidding with Value-Guided Explorations. 244-254 - Mario Villaizán-Vallelado, Matteo Salvatori, Kayhan Latifzadeh, Antonio Penta, Luis A. Leiva, Ioannis Arapakis:
AdSight: Scalable and Accurate Quantification of User Attention in Multi-Slot Sponsored Search. 255-265 - Xi He, Yilin Liu, Yijie Sun, Xin Xing, Xingyu Lu, Yanbing Liu:
ULP: Unlabeled Location Prediction from Text. 266-275 - Yaqiong Qiao, Aobo Jiao, Xiangyang Luo, Chenliang Li, Jiangtao Ma, Chenkai Guo:
Towards Accurate Social User Geolocation: Mean Shift, Incremental Learning and Graph Convolutional Networks. 276-285 - Takehiro Takayanagi, Kiyoshi Izumi, Javier Sanz-Cruzado, Richard McCreadie, Iadh Ounis:
Are Generative AI Agents Effective Personalized Financial Advisors? 286-295
Domain-specific Applications 2
- Shuqi Zhu, Ziyi Ye, Yi Zhong, Qingyao Ai, Yujia Zhou, Yiqun Liu:
Brain Image Reconstruction with Retrieval-Augmented Diffusion. 296-305 - Xiaoshan Yu, Shangshang Yang, Ziwen Wang, Siyu Song, Haiping Ma, Zhiguang Cao, Xingyi Zhang:
LIGHT: Enhancing Learning Path Recommendation via Knowledge Topology-Aware Sequence Optimization. 306-315 - Yang Qin, Xinning Zhu, Xiaosheng Tang, Chunhong Zhang, Kunbao Wu, Fengjie Chang, Jianzhou Diao, Zheng Hu:
Interpretable Knowledge Tracing with Difficulty-Aware Attention and Selective State Space Model. 316-325 - Yongxin Cai, Jing Qiu, Fan Zhang, Qiang Li, Lei Chen:
A Knowledge Extraction Framework on Cyber Threat Reports with Enhanced Security Profiles. 326-336 - Qiushi Xiong, Zhipeng Xu, Zhenghao Liu, Mengjia Wang, Zulong Chen, Yue Sun, Yu Gu, Xiaohua Li, Ge Yu:
Enhancing the Patent Matching Capability of Large Language Models via the Memory Graph. 337-347 - Yuhang Su, Wei Hu, Hongfeng Gao, Fan Zhang:
MIDI-Zero: A MIDI-driven Self-Supervised Learning Approach for Music Retrieval. 348-357 - Yining Zhao, Sourav S. Bhowmick, Nastassja L. Fischer, S. H. Annabel Chen:
How Cohesive Are Community Search Results on Online Social Networks?: An Experimental Evaluation. 358-369
FATE 1
- Sunhao Dai, Yuqi Zhou, Liang Pang, Zhuoyang Li, Zhaocheng Du, Gang Wang, Jun Xu:
Mitigating Source Bias with LLM Alignment. 370-380 - Maria Heuss, Maarten de Rijke, Avishek Anand:
RankingSHAP - Faithful Listwise Feature Attribution Explanations for Ranking Models. 381-391 - Qilong Lin, Jingya Zhou:
BotBR: Social Bot Detection with Balanced Feature Fusion and Reliability-Enhanced Graph Learning. 392-402 - Wenyi Zhang, Ju Jia, Xiaojun Jia, Yihao Huang, Xinfeng Li, Cong Wu, Lina Wang:
PATFinger: Prompt-Adapted Transferable Fingerprinting against Unauthorized Multimodal Dataset Usage. 403-413 - Shengyao Zhuang, Ekaterina Khramtsova, Xueguang Ma, Bevan Koopman, Jimmy Lin, Guido Zuccon:
Document Screenshot Retrievers are Vulnerable to Pixel Poisoning Attacks. 414-423 - Pengyang Zhou, Chaochao Chen, Weiming Liu, Wenkai Shen, Xinting Liao, Huarong Deng, Zhihui Fu, Jun Wang, Wu Wen, Xiaolin Zheng:
Joint Item Embedding Dual-view Exploration and Adaptive Local-Global Fusion for Federated Recommendation. 424-434
FATE 2
- Beizhe Hu, Qiang Sheng, Juan Cao, Yang Li, Danding Wang:
LLM-Generated Fake News Induces Truth Decay in News Ecosystem: A Case Study on Neural News Recommendation. 435-445 - Michael Soprano, Denis Eduard Tapu, David La Barbera, Kevin Roitero, Stefano Mizzaro:
The Magnitude of Truth: On Using Magnitude Estimation for Truthfulness Assessment. 446-456 - Kevin Roitero, Dustin Wright, Michael Soprano, Isabelle Augenstein, Stefano Mizzaro:
Efficiency and Effectiveness of LLM-Based Summarization of Evidence in Crowdsourced Fact-Checking. 457-467 - Bing Wang, Bingrui Zhao, Ximing Li, Changchun Li, Wanfu Gao, Shengsheng Wang:
Collaboration and Controversy Among Experts: Rumor Early Detection by Tuning a Comment Generator. 468-478 - Haoran Li, Quan Wang:
Continual Origin Tracing of LLM-Generated Text. 479-489 - Zihan Ma, Minnan Luo, Yiran Hao, Zhi Zeng, Xiangzheng Kong, Jiahao Wang:
Bridging Interests and Truth: Towards Mitigating Fake News with Personalized and Truthful Recommendations. 490-503 - Yuhan Liu, Yuxuan Liu, Xiaoqing Zhang, Xiuying Chen, Rui Yan:
The Truth Becomes Clearer Through Debate! Multi-Agent Systems with Large Language Models Unmask Fake News. 504-514 - David Elsweiler, Samy Ateia, Markus Bink, Gregor Donabauer, Marcos Fernández-Pichel, Alexander Frummet, Udo Kruschwitz, David E. Losada, Bernd Ludwig, Selina Meyer, Noel Pascual-Presa:
Query Smarter, Trust Better? Exploring Search Behaviours for Verifying News Accuracy. 515-526
FATE 3
- Lluís Gómez:
Measuring Text-Image Retrieval Fairness with Synthetic Data. 527-538 - Chen Xu, Jujia Zhao, Wenjie Wang, Liang Pang, Jun Xu, Tat-Seng Chua, Maarten de Rijke:
Understanding Accuracy-Fairness Trade-offs in Re-ranking through Elasticity in Economics. 539-548 - Xiaoye Miao, Lei Qiang, Guilin Huang, Yangyang Wu, Jianwei Yin:
Fairness-Aware Classification over Incomplete Data. 549-558 - Junyu Lu, Bo Xu, Xiaokun Zhang, Haohao Zhu, Kaichun Wang, Liang Yang, Hongfei Lin:
Is Having Rationales Enough? Rethinking Knowledge Enhancement for Multimodal Hateful Meme Detection. 559-569 - Hanzhe Li, Dazhong Shen, Chao Wang, Yuting Liu, Jingjing Gu:
Can LLMs Enhance Fairness in Recommendation Systems? A Data Augmentation Approach. 570-580
Humans and Interfaces
- Xiaoxi Cui, Weihai Lu, Yu Tong, Yiheng Li, Zhejun Zhao:
Diffusion-based Multi-modal Synergy Interest Network for Click-through Rate Prediction. 581-591 - Weikang He, Yunpeng Xiao, Mengyang Huang, Xuemei Mou, Rong Wang, Qian Li:
A Pattern-Driven Information Diffusion Prediction Model Based on Multisource Resonance and Cognitive Adaptation. 592-601 - Michele Garetto, Alessandro Cornacchia, Franco Galante, Emilio Leonardi, Alessandro Nordio, Alberto Tarable:
Information Retrieval in the Age of Generative AI: The RGB Model. 602-612 - Niall McGuire, Yashar Moshfeghi:
Towards Brain Passage Retrieval: An Investigation of EEG Query Representations. 613-623 - Austin R. Ward, Bogeum Choi, Robert Capra:
Designing Search Engine Result Pages for Immersive Virtual Reality: Insights from Eye-Tracking and User Perception Data. 624-633 - Yidong Liang, Zhijing Wu, Fan Zhang, Dandan Song, Heyan Huang:
How Users Interact with Generative Information Retrieval Systems: A Study of User Behavior and Search Experience. 634-644 - Tao He, Lizi Liao, Ming Liu, Bing Qin:
Simulating Before Planning: Constructing Intrinsic User World Model for User-Tailored Dialogue Policy Planning. 645-655
Machine Learning 1
- Yang Jiao, Xiaodong Wang, Kai Yang:
PR-Attack: Coordinated Prompt-RAG Attacks on Retrieval-Augmented Generation in Large Language Models via Bilevel Optimization. 656-667 - Anja Reusch, Yonatan Belinkov:
Reverse-Engineering the Retrieval Process in GenIR Models. 668-677 - Yuntong Hu, Zhihan Lei, Zhongjie Dai, Allen Zhang, Abhinav Angirekula, Zheng Zhang, Liang Zhao:
CG-RAG: Research Question Answering by Citation Graph Retrieval-Augmented LLMs. 678-687 - Fangfang Li, Huihui Zhang, Wei Li, Wei Wu:
Heterogeneous Graph Embedding Made More Practical. 688-697 - Taiyan Zhang, Renchi Yang, Yurui Lai, Mingyu Yan, Xiaochun Ye, Dongrui Fan:
Leveraging Large Language Models for Effective Label-free Node Classification in Text-Attributed Graphs. 698-708 - Haosen Wang, Chenglong Shi, Can Xu, Surong Yan, Rong Xie, Pan Tang:
Enhancing Homophily in Heterogeneous Graph Contrastive Learning via Connection Strength and Multi-view Self-Expression. 709-718 - Zixu Wang, Bingbing Xu, Yige Yuan, Huawei Shen, Xueqi Cheng:
InfoNCE is a Free Lunch for Semantically guided Graph Contrastive Learning. 719-728 - Enze Liu, Bowen Zheng, Cheng Ling, Lantao Hu, Han Li, Wayne Xin Zhao:
Generative Recommender with End-to-End Learnable Item Tokenization. 729-739
Machine Learning 2
- Seungyoon Choi, Sein Kim, Hongseok Kang, Wonjoong Kim, Chanyoung Park:
Dynamic Time-aware Continual User Representation Learning. 740-749 - Tanishq Dubey, Sidharth Agarwal, Shubham Gupta, Srikanta Bedathur:
MINTT: Memory Inductive Transfer for Temporal Graph Neural Networks. 750-760 - Reem Bin Hezam, Mark Stevenson:
A Generalised and Adaptable Reinforcement Learning Stopping Method. 761-770 - Hongtao Wang, Renchi Yang, Hewen Wang, Haoran Zheng, Jianliang Xu:
SAFT: Structure-aware Transformers for Textual Interaction Classification. 771-781 - Yuhua Zhao, Zhixin Han, Xunzhi Wang, Bitong Luo, Hang Gao, Minlie Huang, Mengting Hu:
HCDS: Hierarchical Clustering for Cold-Start Few-Shot Data Selection. 782-791
Image Retrieval
- Yaxiong Wang, Lianwei Wu, Lechao Cheng, Zhun Zhong, Yujiao Wu, Meng Wang:
Beyond General Alignment: Fine-Grained Entity-Centric Image-Text Matching with Multimodal Attentive Experts. 792-802 - Bohan Hou, Haoqiang Lin, Xuemeng Song, Haokun Wen, Meng Liu, Yupeng Hu, Xiangyu Zhao:
FiRE: Enhancing MLLMs with Fine-Grained Context Learning for Complex Image Retrieval. 803-812 - Yongqi Li, Hongru Cai, Wenjie Wang, Leigang Qu, Yinwei Wei, Wenjie Li, Liqiang Nie, Tat-Seng Chua:
Revolutionizing Text-to-Image Retrieval as Autoregressive Token-to-Voken Generation. 813-822 - Zijun Long, Kangheng Liang, Gerardo Aragon-Camarasa, Richard McCreadie, Paul Henderson:
Diffusion Augmented Retrieval: A Training-Free Approach to Interactive Text-to-Image Retrieval. 823-832 - Zhe Li, Lei Zhang, Kun Zhang, Weidong Chen, Yongdong Zhang, Zhendong Mao:
Rethinking Pseudo Word Learning in Zero-Shot Composed Image Retrieval: From an Object-Aware Perspective. 833-843 - Pengxu Chen, Huazhong Liu, Jihong Ding, Xinghao Huang, Shaojun Zou, Laurence Tianruo Yang:
Class Activation Values: Lucid and Faithful Visual Interpretations for CLIP-based Text-Image Retrievals. 844-853 - Fei Zhu, Huashan Chen, Wanqian Zhang, Lin Wang, Zheng Lin, Bo Li:
Two-Stage Adversarial Training for Deep Hashing via Representation Distillation. 854-863 - Zechao Hu, Zhengwei Yang, Hao Li, Yixiong Zou, Fengbin Zhu, Zheng Wang:
Unified Category and Style Generalization for Instance-Level Sketch Retrieval. 864-873
Video Retrieval
- Peiyang Liu, Xi Wang, Ziqiang Cui, Wei Ye:
Queries Are Not Alone: Clustering Text Embeddings for Video Search. 874-883 - Hangyu Qin, Junbin Xiao, Angela Yao:
Question-Answering Dense Video Events. 884-894 - Yong Chen, Yuxiang Zhou, Hailiang Dong, Rui Liu, Zhouchen Lin, Dell Zhang:
AV-NAS: Audio-Visual Multi-Level Semantic Neural Architecture Search for Video Hashing. 895-905 - Bangde Du, Ziyi Ye, Zhijing Wu, Monika Jankowska, Qingyao Ai, Yiqun Liu:
Understanding the Effect of Opinion Polarization in Short Video Browsing. 906-916 - Hao Liu, Yupeng Hu, Kun Wang, Yinwei Wei, Liqiang Nie:
Gaming for Boundary: Elastic Localization for Frame-Supervised Video Moment Retrieval. 917-926 - Yue Chen, Yinan Jing, Ziqiang Yu, Xiaohui Yu, Zhenying He, Kai Zhang, X. Sean Wang:
ARC: Approximate Relevant Clip Query in Large-Scale Video Repositories. 927-936 - Yimeng Bai, Shunyu Zhang, Yang Zhang, Hu Liu, Wentian Bao, Enyun Yu, Fuli Feng, Wenwu Ou:
Unconstrained Monotonic Calibration of Predictions in Deep Ranking Systems. 937-947 - Nawras Alkassab, Chin-Tser Huang, Tania Lorido-Botran:
Techie: Tackling Video Prefetching at Edge Networks as POMDP Via an Intrinsically Motivated RL Agent. 948-957
Multi-modal Retrieval
- Kaixiang Chen, Pengfei Fang, Hui Xue:
DePro: Domain Ensemble using Decoupled Prompts for Universal Cross-Domain Retrieval. 958-967 - Chenyu Mu, Erkun Yang, Cheng Deng:
Meta-Guided Adaptive Weight Learner for Noisy Correspondence. 968-978 - Wenze Ma, Chenyu Sun, Yanmin Zhu, Zhaobo Wang, Xuhao Zhao, Mengyuan Jing, Jiadi Yu, Feilong Tang:
Generating Difficulty-aware Negative Samples via Conditional Diffusion for Multi-modal Recommendation. 979-988 - Mingrui Lao, Zheng Li, Yanming Guo, Xueyi Zhang, Siqi Cai, Zhaoyun Ding, Haizhou Li:
Boosting Discriminability for Robust Multimodal Entity Linking with Visual Modality Missing. 989-999 - Xinwei Li, Li Lin, Shuai Wang, Hanqian Wu:
Seeing Beyond Hallucinations: LLM-based Compositional Information Extraction for Multimodal Reasoning. 1000-1010 - Zecheng Zhao, Zhi Chen, Zi Huang, Shazia Sadiq, Tong Chen:
Continual Text-to-Video Retrieval with Frame Fusion and Task-Aware Routing. 1011-1021 - Xinwei He, Liang Ma, Yuxuan Cheng, Zhichuan Wang, Yulong Wang, Yang Zhou, Xiang Bai:
CLIP-AdaM: Adapting Multi-view CLIP for Open-set 3D Object Retrieval. 1022-1032 - Donglin Zhang, Changxing Li, Xiao-Jun Wu:
Multi-level Encoding with Hierarchical Alignment for Sketch-Based 3D Shape Retrieval. 1033-1043
Biomedical and Health
- Haiping Ma, Weiyuan Zhou, Xiaoshan Yu, Changqian Wang, Shangshang Yang, Limiao Zhang, Xingyi Zhang:
Reconciling Efficiency and Effectiveness of Exercise Retreival: An Uncertainty Reduction Hashing Approach for Computerized Adaptive Testing. 1044-1054 - Bolin Zhang, Shengwei Wang, Yangqin Jiang, Dianbo Sui, Zhiying Tu, Dianhui Chu:
Ask and Retrieve Knowledge: Towards Proactive Asking with Imperfect Information in Medical Multi-turn Dialogues. 1055-1065 - Zhihao Chang, Ding Wang, Xiu Tang, Kingsum Chow, Jianwei Yin:
General Neural Embedding for Sequence Distance Approximation. 1066-1075 - Chao Wang, Hehe Fan, Ruijie Quan, Lina Yao, Yi Yang:
ProtChatGPT: Towards Understanding Proteins with Hybrid Representation and Large Language Models. 1076-1086 - Mariano Barone, Antonio Romano, Giuseppe Riccio, Marco Postiglione, Vincenzo Moscato:
Combining Evidence and Reasoning for Biomedical Fact-Checking. 1087-1097
Question Answering
- Ruiyang Ren, Yuhao Wang, Junyi Li, Jinhao Jiang, Wayne Xin Zhao, Wenjie Wang, Tat-Seng Chua:
LLM-based Search Assistant with Holistically Guided MCTS for Intricate Information Seeking. 1098-1108 - Tianyu Ren, Zhaoyu Zhang, Hui Wang, Karen Rafferty:
OBELLA: Open the Book for Evaluating Long-Form Large Language Model Answers in Open-Domain Question Answering. 1109-1119 - Hosein Azarbonyad, Zi Long Zhu, Georgios Cheirmpos, Zubair Afzal, Vikrant Yadav, Georgios Tsatsaronis:
Question-Answer Extraction from Scientific Articles Using Knowledge Graphs and Large Language Models. 1120-1129 - Yaxian Wang, Bifan Wei, Jun Liu, Lingling Zhang, Shuting He, Jun Li, Qika Lin:
GlFoMR: A Glance-then-Focus Multimodal Reasoning Framework for Diagram Question Answering. 1130-1140 - Ning Xian, Yixing Fan, Ruqing Zhang, Maarten de Rijke, Jiafeng Guo:
An Empirical Study of Evaluating Long-form Question Answering. 1141-1151
Knowledge and Knowledge Graphs
- Andrey Sakhovskiy, Elena Tutubalina:
BALI: Enhancing Biomedical Language Representations through Knowledge Graph and Language Model Alignment. 1152-1164 - Tiesunlong Shen, Rui Mao, Jin Wang, Xuejie Zhang, Erik Cambria:
Flow-guided Direct Preference Optimization for Knowledge Graph Reasoning with Trees. 1165-1175 - Yunpeng Wang, Bo Ning, Xin Wang, Chengfei Liu, Guanyu Li:
Segmentation Similarity Enhanced Semantic Related Entity Fusion for Multi-modal Knowledge Graph Completion. 1176-1185 - Taoyu Su, Jiawei Sheng, Duohe Ma, Xiaodong Li, Juwei Yue, Mengxiao Song, Yingkai Tang, Tingwen Liu:
Mitigating Modality Bias in Multi-modal Entity Alignment from a Causal Perspective. 1186-1196 - Jing Yang, Xinfa Jiang, Xiaowen Jiang, Yuan Gao, Laurence T. Yang, Shaojun Zou, Shundong Yang:
From Knowledge Forgetting to Accumulation: Evolutionary Relation Path Passing for Lifelong Knowledge Graph Embedding. 1197-1206 - Zhiwen Xie, Zhuo Zhao, Jinjin Ma, Guangyou Zhou, Jimmy Xiangji Huang:
AdaRPT: An Adaptive Rule Pattern Transfer Model for Fully Inductive Knowledge Graph Reasoning. 1207-1217 - Sirui Huang, Hanqian Li, Yanggan Gu, Xuming Hu, Qing Li, Guandong Xu:
HyperG: Hypergraph-Enhanced LLMs for Structured Knowledge. 1218-1228 - Ziqiang Cui, Yunpeng Weng, Xing Tang, Fuyuan Lyu, Dugang Liu, Xiuqiang He, Chen Ma:
Comprehending Knowledge Graphs with Large Language Models for Recommender Systems. 1229-1239
Natural Language Processing 1
- Weihang Su, Yichen Tang, Qingyao Ai, Junxi Yan, Changyue Wang, Hongning Wang, Ziyi Ye, Yujia Zhou, Yiqun Liu:
Parametric Retrieval Augmented Generation. 1240-1250 - Zhongxiang Sun, Qipeng Wang, Weijie Yu, Xiaoxue Zang, Kai Zheng, Jun Xu, Xiao Zhang, Yang Song, Han Li:
ReARTeR: Retrieval-Augmented Reasoning with Trustworthy Process Rewarding. 1251-1261 - Yuhao Wang, Ruiyang Ren, Yucheng Wang, Wayne Xin Zhao, Jing Liu, Hua Wu, Haifeng Wang:
Unveiling Knowledge Utilization Mechanisms in LLM-based Retrieval-Augmented Generation. 1262-1271 - Yiteng Tu, Weihang Su, Yujia Zhou, Yiqun Liu, Qingyao Ai:
Robust Fine-tuning for Retrieval Augmented Generation against Retrieval Defects. 1272-1282 - Oz Huly, David Carmel, Oren Kurland:
Predicting RAG Performance for Text Completion. 1283-1293 - Teng Shi, Jun Xu, Xiao Zhang, Xiaoxue Zang, Kai Zheng, Yang Song, Han Li:
Retrieval Augmented Generation with Collaborative Filtering for Personalized Text Generation. 1294-1304 - Diji Yang, Linda Zeng, Jinmeng Rao, Yi Zhang:
Knowing You Don't Know: Learning When to Continue Search in Multi-round RAG through Self-Practicing. 1305-1315 - Chenxu Cui, Haihui Fan, Jinchao Zhang, Lin Shen, Bo Li, Weiping Wang:
CIRAG: Retrieval-Augmented Language Model with Collective Intelligence. 1316-1326
Natural Language Processing 2
- Kidist Amde Mekonnen, Yubao Tang, Maarten de Rijke:
Lightweight and Direct Document Relevance Optimization for Generative Information Retrieval. 1327-1338 - Hongru Cai, Yongqi Li, Ruifeng Yuan, Wenjie Wang, Zhen Zhang, Wenjie Li, Tat-Seng Chua:
Exploring Training and Inference Scaling Laws in Generative Retrieval. 1339-1349 - Yuqing Li, Wenyuan Zhang, Zheng Lin, Guoxuan Ding, Weiping Wang:
Incorporating Communication Style and Interaction of Speakers for Sarcasm Explanation in Dialogue. 1350-1359 - Hieu Man, Nghia Trung Ngo, Viet Dac Lai, Ryan A. Rossi, Franck Dernoncourt, Thien Huu Nguyen:
LUSIFER: Language Universal Space Integration for Enhanced Representation in Multilingual Text Embedding Models. 1360-1370 - Wanli Li, Tieyun Qian, Yi Song, Zeyu Zhang, Jiawei Li, Zhuang Chen, Lixin Zou:
Generative Meta-Learning for Zero-Shot Relation Triplet Extraction. 1371-1381 - Haoyu Dong, Yue Hu, Yanan Cao:
Reasoning and Retrieval for Complex Semi-structured Tables via Reinforced Relational Data Transformation. 1382-1391
Natural Language Processing 3
- Celso França, Gestefane Rabbi, Thiago Salles, Washington Cunha, Leonardo Rocha, Marcos André Gonçalves:
Optimizing Tail-Head Trade-off for Extreme Multi-Label Text Classification (XMTC) with RAG-Labels and a Dynamic Two-Stage Retrieval and Fusion Pipeline. 1392-1401 - Bowen Zhang, Zixin Song, Chunping Li:
CSE-SFP: Enabling Unsupervised Sentence Representation Learning via a Single Forward Pass. 1402-1412 - Zheng Wang, Shu Xian Teo, Jun Jie Chew, Wei Shi:
InstructRAG: Leveraging Retrieval-Augmented Generation on Instruction Graphs for LLM-Based Task Planning. 1413-1422 - Shiyin Tan, Jaeeon Park, Dongyuan Li, Renhe Jiang, Manabu Okumura:
A Unified Retrieval Framework with Document Ranking and EDU Filtering for Multi-document Summarization. 1423-1433 - Yuxia Wu, Lizi Liao, Yuan Fang:
Retrieval Augmented Generation for Dynamic Graph Modeling. 1434-1443 - Yuanzhao Zhai, Huanxi Liu, Zhuo Zhang, Tong Lin, Kele Xu, Cheng Yang, Dawei Feng, Bo Ding, Huaimin Wang:
Empowering Large Language Model Agent through Step-Level Self-Critique and Self-Training. 1444-1454
RecSys: Sequential 1
- Yuhao Wang, Junwei Pan, Pengyue Jia, Wanyu Wang, Maolin Wang, Zhixiang Feng, Xiaotian Li, Jie Jiang, Xiangyu Zhao:
Pre-train, Align, and Disentangle: Empowering Sequential Recommendation with Large Language Models. 1455-1465 - Yizhou Dang, Yuting Liu, Enneng Yang, Minhan Huang, Guibing Guo, Jianzhe Zhao, Xingwei Wang:
Data Augmentation as Free Lunch: Exploring the Test-Time Augmentation for Sequential Recommendation. 1466-1475 - Zhuo Cai, Shoujin Wang, Victor W. Chu, Usman Naseem, Yang Wang, Fang Chen:
Unleashing the Potential of Diffusion Models Towards Diversified Sequential Recommendations. 1476-1486 - Fei Li, Qingyun Gao, Yizhou Dang, Enneng Yang, Guibing Guo, Jianzhe Zhao, Xingwei Wang:
Denoising Multi-Interest-Aware Logical Reasoning for Long-Sequence Recommendation. 1487-1496 - Guy Hadad, Haggai Roitman, Yotam Eshel, Bracha Shapira, Lior Rokach:
X-Cross: Dynamic Integration of Language Models for Cross-Domain Sequential Recommendation. 1497-1507 - Ziqi Zhao, Zhaochun Ren, Jiyuan Yang, Zuming Yan, Zihan Wang, Liu Yang, Pengjie Ren, Zhumin Chen, Maarten de Rijke, Xin Xin:
Improving Sequential Recommenders through Counterfactual Augmentation of System Exposure. 1508-1518 - Wei Wang, Yujie Lin, Moyan Zhang, Hongyu Lu, Jianli Zhao, Jie Sun, Xianye Ben, Pengjie Ren, Yujun Li:
Triplet Contrastive Learning with Learnable Sequence Augmentation for Sequential Recommendation. 1519-1529 - Maolin Wang, Sheng Zhang, Ruocheng Guo, Wanyu Wang, Xuetao Wei, Zitao Liu, Hongzhi Yin, Yi Chang, Xiangyu Zhao:
STAR-Rec: Making Peace with Length Variance and Pattern Diversity in Sequential Recommendation. 1530-1540
RecSys: Sequential 2
- Xiaolin Lin, Weike Pan, Zhong Ming:
Towards Interest Drift-driven User Representation Learning in Sequential Recommendation. 1541-1551 - Yuanpeng Qu, Hajime Nobuhara:
Intent-aware Diffusion with Contrastive Learning for Sequential Recommendation. 1552-1561 - Xiaoyu Liu, Jiaxin Yuan, Yuhang Zhou, Jingling Li, Furong Huang, Wei Ai:
CSRec: Rethinking Sequential Recommendation from A Causal Perspective. 1562-1571 - Jiayi Liao, Ruobing Xie, Sihang Li, Xiang Wang, Xingwu Sun, Zhanhui Kang, Xiangnan He:
Multi-Grained Patch Training for Efficient LLM-based Recommendation. 1572-1581 - Qidong Liu, Xiangyu Zhao, Yejing Wang, Zijian Zhang, Howard Zhong, Chong Chen, Xiang Li, Wei Huang, Feng Tian:
Bridge the Domains: Large Language Models Enhanced Cross-domain Sequential Recommendation. 1582-1592 - Xiaoxi Cui, Weihai Lu, Yu Tong, Yiheng Li, Zhejun Zhao:
Multi-Modal Multi-Behavior Sequential Recommendation with Conditional Diffusion-Based Feature Denoising. 1593-1602 - Yuxin Liao, Yonghui Yang, Min Hou, Le Wu, Hefei Xu, Hao Liu:
Mitigating Distribution Shifts in Sequential Recommendation: An Invariance Perspective. 1603-1613 - Guoqing Hu, An Zhang, Shuo Liu, Zhibo Cai, Xun Yang, Xiang Wang:
AlphaFuse: Learn ID Embeddings for Sequential Recommendation in Null Space of Language Embeddings. 1614-1623
RecSys: Sequential 3
- Hye-young Kim, Minjin Choi, Sunkyung Lee, Ilwoong Baek, Jongwuk Lee:
DIFF: Dual Side-Information Filtering and Fusion for Sequential Recommendation. 1624-1633 - Yuchuan Zhao, Tong Chen, Junliang Yu, Kai Zheng, Lizhen Cui, Hongzhi Yin:
Diversity-aware Dual-promotion Poisoning Attack on Sequential Recommendation. 1634-1644 - Kai Zhu, Jing Li, Jia Wu, Yue He, Jun Chang, Guohao Li, Shuyi Zhang:
Adaptive User Dynamic Interest Guidance for Generative Sequential Recommendation. 1645-1654 - Jinpeng Chen, Jianxiang He, Huan Li, Senzhang Wang, Yuan Cao, Kaimin Wei, Zhenye Yang, Ye Ji:
Hierarchical Intent-guided Optimization with Pluggable LLM-Driven Semantics for Session-based Recommendation. 1655-1665 - Minjin Choi, Sunkyung Lee, Seongmin Park, Jongwuk Lee:
Linear Item-Item Models with Neural Knowledge for Session-based Recommendation. 1666-1675
RecSys: FATE
- Yuqi Zhou, Sunhao Dai, Liang Pang, Gang Wang, Zhenhua Dong, Jun Xu, Ji-Rong Wen:
Exploring the Escalation of Source Bias in User, Data, and Recommender System Feedback Loop. 1676-1686 - Mingzhe Han, Dongsheng Li, Jiafeng Xia, Jiahao Liu, Hansu Gu, Peng Zhang, Ning Gu, Tun Lu:
FedCIA: Federated Collaborative Information Aggregation for Privacy-Preserving Recommendation. 1687-1696 - Jieyong Kim, Hyunseo Kim, Hyunjin Cho, SeongKu Kang, Buru Chang, Jinyoung Yeo, Dongha Lee:
Review-driven Personalized Preference Reasoning with Large Language Models for Recommendation. 1697-1706 - Huizhong Guo, Zhu Sun, Dongxia Wang, Tianjun Wei, Jinfeng Li, Jie Zhang:
Enhancing New-item Fairness in Dynamic Recommender Systems. 1707-1716 - Jizhi Zhang, Haoyu Shen, Tianhao Shi, Keqin Bao, Xin Chen, Yang Zhang, Fuli Feng:
Fair Recommendation with Biased-Limited Sensitive Attribute. 1717-1727 - Xuhao Zhao, Zhongrui Zhang, Yanmin Zhu, Zhaobo Wang, Wenze Ma, Jiadi Yu, Feilong Tang:
Social Relation-Level Privacy Risks and Preservation in Social Recommender Systems. 1728-1737
RecSys: Domain-specific
- Xinghe Cheng, Xufang Zhou, Liangda Fang, Chaobo He, Yuyu Zhou, Weiqi Luo, Zhiguo Gong, Quanlong Guan:
NR4DER: Neural Re-ranking for Diversified Exercise Recommendation. 1738-1747 - Guoquan Wang, Qiang Luo, Weisong Hu, Pengfei Yao, Wencong Zeng, Guorui Zhou, Kun Gai:
FIM: Frequency-Aware Multi-View Interest Modeling for Local-Life Service Recommendation. 1748-1757 - Yu Xia, Rui Zhong, Hao Gu, Wei Yang, Chi Lu, Peng Jiang, Kun Gai:
Hierarchical Tree Search-based User Lifelong Behavior Modeling on Large Language Model. 1758-1767 - Lin Zhong, Lingzhi Wang, Xu Yang, Qing Liao:
CoMaPOI: A Collaborative Multi-Agent Framework for Next POI Prediction Bridging the Gap Between Trajectory and Language. 1768-1778 - Hailun Zhou, Jiajie Xu, Qiaoming Zhu, Chengfei Liu:
Disentangled Graph Debiasing for Next POI Recommendation. 1779-1788 - Hanyu Li, Jiayu Li, Weizhi Ma, Peijie Sun, Haiyang Wu, Jingwen Wang, Yuekui Yang, Min Zhang, Shaoping Ma:
CD-CDR: Conditional Diffusion-based Item Generation for Cross-Domain Recommendation. 1789-1798 - Ke Wang, Ji Zhang, Kuan Liu:
Enhancing Cross-Domain Recommendation with Plug-In Contrastive Representations from Large Language Models. 1799-1809 - Yimin Shi, Yang Fei, Shiqi Zhang, Haixun Wang, Xiaokui Xiao:
You Are What You Bought: Generating Customer Personas for E-commerce Applications. 1810-1819
RecSys: Multimodal
- Jiwan Kim, Hongseok Kang, Sein Kim, Kibum Kim, Chanyoung Park:
Disentangling and Generating Modalities for Recommendation in Missing Modality Scenarios. 1820-1829 - Jinfeng Xu, Zheyu Chen, Wei Wang, Xiping Hu, Sang-Wook Kim, Edith C. H. Ngai:
COHESION: Composite Graph Convolutional Network with Dual-Stage Fusion for Multimodal Recommendation. 1830-1839 - Huishi Luo, Yiqing Wu, Yiwen Chen, Fuzhen Zhuang, Deqing Wang:
CDC: Causal Domain Clustering for Multi-Domain Recommendation. 1840-1849 - Dongho Jeong, Taeri Kim, Donghyeon Cho, Sang-Wook Kim:
MELON: Learning Multi-Aspect Modality Preferences for Accurate Multimedia Recommendation. 1850-1859 - Hengyu Zhang, Chunxu Shen, Xiangguo Sun, Jie Tan, Yu Rong, Chengzhi Piao, Hong Cheng, Lingling Yi:
Adaptive Graph Integration for Cross-Domain Recommendation via Heterogeneous Graph Coordinators. 1860-1869 - Yu Wang, Lei Sang, Yi Zhang, Yiwen Zhang:
Intent Representation Learning with Large Language Model for Recommendation. 1870-1879 - Zhiyu He, Zhixin Ling, Jiayu Li, Zhiqiang Guo, Weizhi Ma, Xinchen Luo, Min Zhang, Guorui Zhou:
Short Video Segment-level User Dynamic Interests Modeling in Personalized Recommendation. 1880-1890
RecSys: LLMs
- Yunjia Xi, Hangyu Wang, Bo Chen, Jianghao Lin, Menghui Zhu, Weiwen Liu, Ruiming Tang, Zhewei Wei, Weinan Zhang, Yong Yu:
Efficiency Unleashed: Inference Acceleration for LLM-based Recommender Systems with Speculative Decoding. 1891-1901 - Zongwei Wang, Min Gao, Junliang Yu, Xinyi Gao, Quoc Viet Hung Nguyen, Shazia Sadiq, Hongzhi Yin:
ID-Free Not Risk-Free: LLM-Powered Agents Unveil Risks in ID-Free Recommender Systems. 1902-1911 - Bohao Wang, Feng Liu, Jiawei Chen, Xingyu Lou, Changwang Zhang, Jun Wang, Yuegang Sun, Yan Feng, Chun Chen, Can Wang:
MSL: Not All Tokens Are What You Need for Tuning LLM as a Recommender. 1912-1922 - Xinyu Lin, Haihan Shi, Wenjie Wang, Fuli Feng, Qifan Wang, See-Kiong Ng, Tat-Seng Chua:
Order-agnostic Identifier for Large Language Model-based Generative Recommendation. 1923-1933 - Chongming Gao, Mengyao Gao, Chenxiao Fan, Shuai Yuan, Wentao Shi, Xiangnan He:
Process-Supervised LLM Recommenders via Flow-guided Tuning. 1934-1943 - Wentao Cheng, Zhida Qin, Zexue Wu, Pengzhan Zhou, Tianyu Huang:
Large Language Models Enhanced Hyperbolic Space Recommender Systems. 1944-1953
RecSys: Collaborative Filtering
- Yihong Zhang, Takahiro Hara:
Modeling Social Behavior in Collaborative Filtering. 1954-1963 - Chanwoo Kim, Jinkyu Sung, Yebonn Han, Joonseok Lee:
Graph Spectral Filtering with Chebyshev Interpolation for Recommendation. 1964-1974 - Mengru Chen, Lianghao Xia, Yong Xu, Ronghua Luo:
Collaborative Diffusion Models for Recommendation. 1975-1984 - Yu Zhang, Yiwen Zhang, Yi Zhang, Lei Sang, Yun Yang:
Unveiling Contrastive Learning's Capability of Neighborhood Aggregation for Collaborative Filtering. 1985-1994 - Jinfei Gao, Xiao Wang, Tian Gan, Jianhua Yin, Chuanchen Luo, Liqiang Nie:
Social Context-Aware Community-Level Propagation Prediction. 1995-2005 - Yi Zhang, Yiwen Zhang, Yu Wang, Tong Chen, Hongzhi Yin:
Towards Distribution Matching between Collaborative and Language Spaces for Generative Recommendation. 2006-2016
RecSys: Graphs
- Anchen Li, Bo Yang, Huan Huo, Farookh Hussain, Guandong Xu:
Hypercomplex Knowledge Graph-Aware Recommendation. 2017-2026 - Leqi Zheng, Chaokun Wang, Ziyang Liu, Canzhi Chen, Cheng Wu, Hongwei Li:
Balancing Self-Presentation and Self-Hiding for Exposure-Aware Recommendation Based on Graph Contrastive Learning. 2027-2037 - Yonghui Yang, Le Wu, Yuxin Liao, Zhuangzhuang He, Pengyang Shao, Richang Hong, Meng Wang:
Invariance Matters: Empowering Social Recommendation via Graph Invariant Learning. 2038-2047 - Junze Chen, Xinjie Yang, Cheng Yang, Junfei Bao, Zeyuan Guo, Yawen Li, Chuan Shi:
CORONA: A Coarse-to-Fine Framework for Graph-based Recommendation with Large Language Models. 2048-2058 - Changle Qu, Liqin Zhao, Yanan Niu, Xiao Zhang, Jun Xu:
Bridging Short Videos and Streamers with Multi-Graph Contrastive Learning for Live Streaming Recommendation. 2059-2069 - Jiwon Son, Hyunjoon Kim, Sang-Wook Kim:
Rating-Aware Homogeneous Review Graphs and User Likes/Dislikes Differentiation for Effective Recommendations. 2070-2080 - Yong Chen, Li Li, Wei Peng, Songzhi Su:
VoRec: Enhancing Recommendation with Voronoi Diagram in Hyperbolic Space. 2081-2091
RecSys: Scalability, Embeddings and Training
- Hyunsik Yoo, SeongKu Kang, Ruizhong Qiu, Charlie Xu, Fei Wang, Hanghang Tong:
Embracing Plasticity: Balancing Stability and Plasticity in Continual Recommender Systems. 2092-2101 - Aleksandr V. Petrov, Craig Macdonald, Nicola Tonellotto:
Efficient Recommendation with Millions of Items by Dynamic Pruning of Sub-Item Embeddings. 2102-2111 - Guoxuan Chen, Lianghao Xia, Chao Huang:
Pre-training for Recommendation Unlearning. 2112-2121 - Hao Deng, Haibo Xing, Kanefumi Matsuyama, Moyu Zhang, Jinxin Hu, Hong Wen, Yu Zhang, Xiaoyi Zeng, Jing Zhang:
CSMF: Cascaded Selective Mask Fine-Tuning for Multi-Objective Embedding-Based Retrieval. 2122-2131 - Chaohua Yang, Dugang Liu, Xing Tang, Yuwen Fu, Xiuqiang He, Xiangyu Zhao, Zhong Ming:
Multi-scenario Instance Embedding Learning for Deep Recommender Systems. 2132-2141 - Seongmin Park, Mincheol Yoon, Hye-young Kim, Jongwuk Lee:
Why is Normalization Necessary for Linear Recommenders? 2142-2151 - Wenyu Mao, Zhengyi Yang, Jiancan Wu, Haozhe Liu, Yancheng Yuan, Xiang Wang, Xiangnan He:
Addressing Missing Data Issue for Diffusion-based Recommendation. 2152-2161
RecSys: Ranking and Adaptivity
- Zhihao Guo, Ting Han, Peng Song, Chenjiao Feng, Kaixuan Yao, Jiye Liang:
Hyperbolic Multi-Criteria Rating Recommendation. 2162-2171 - Ruoxuan Feng, Zhen Tian, Qiushi Peng, Jiaxin Mao, Wayne Xin Zhao, Di Hu, Changwang Zhang:
MGIPF: Multi-Granularity Interest Prediction Framework for Personalized Recommendation. 2172-2181 - Chao Xiong, Xianwen Yu, Wei Xu, Lei Cheng, Chuan Yuan, Linjian Mo:
A Learnable Fully Interacted Two-Tower Model for Pre-Ranking System. 2182-2191 - Yi Zhang, Ruihong Qiu, Xuwei Xu, Jiajun Liu, Sen Wang:
DARLR: Dual-Agent Offline Reinforcement Learning for Recommender Systems with Dynamic Reward. 2192-2202 - Riwei Lai, Li Chen, Rui Chen, Chi Zhang:
DAR: Dimension-Adaptive Recommendation with Multi-Granular Noise Control. 2203-2212 - Kefan Wang, Hao Wang, Wei Guo, Yong Liu, Jianghao Lin, Defu Lian, Enhong Chen:
DLF: Enhancing Explicit-Implicit Interaction via Dynamic Low-Order-Aware Fusion for CTR Prediction. 2213-2223 - Luankang Zhang, Kenan Song, Yi Quan Lee, Wei Guo, Hao Wang, Yawen Li, Huifeng Guo, Yong Liu, Defu Lian, Enhong Chen:
Killing Two Birds with One Stone: Unifying Retrieval and Ranking with a Single Generative Recommendation Model. 2224-2234 - Shihao Cai, Jizhi Zhang, Keqin Bao, Chongming Gao, Qifan Wang, Fuli Feng, Xiangnan He:
Agentic Feedback Loop Modeling Improves Recommendation and User Simulation. 2235-2244
Reranking
- Norman Knyazev, Harrie Oosterhuis:
Learning to Rank with Variable Result Presentation Lengths. 2245-2254 - Shubham Chatterjee, Jeff Dalton:
QDER: Query-Specific Document and Entity Representations for Multi-Vector Document Re-Ranking. 2255-2265 - Zechun Niu, Lang Mei, Chong Chen, Jiaxin Mao:
Distributionally Robust Optimization for Unbiased Learning to Rank. 2266-2275 - Maria Movin, Claudia Hauff:
Zero-Shot Reranking with Large Language Models and Precomputed Ranking Features: Opportunities and Limitations. 2276-2286 - Mandeep Rathee, Venktesh V, Sean MacAvaney, Avishek Anand:
Breaking the Lens of the Telescope: Online Relevance Estimation over Large Retrieval Sets. 2287-2297 - Hailan Yang, Zhenyu Qi, Shuchang Liu, Xiaoyu Yang, Xiaobei Wang, Xiang Li, Lantao Hu, Han Li, Kun Gai:
Comprehensive List Generation for Multi-Generator Reranking. 2298-2308 - Sheshera Mysore, Garima Dhanania, Kishor Patil, Surya Kallumadi, Andrew McCallum, Hamed Zamani:
Bridging Personalization and Control in Scientific Personalized Search. 2309-2319 - Yuelyu Ji, Zhuochun Li, Rui Meng, Daqing He:
Reason-to-Rank: Distilling Direct and Comparative Reasoning from Large Language Models for Document Reranking. 2320-2329
Search and Ranking 1
- Guglielmo Faggioli, Nicola Ferro, Raffaele Perego, Nicola Tonellotto:
CoDIME: A Counterfactual Approach for Dimension Importance Estimation through Click Logs. 2330-2340 - Tingyang Chen, Cong Fu, Xiangyu Ke, Yunjun Gao, Yabo Ni, Anxiang Zeng:
Stitching Inner Product and Euclidean Metrics for Topology-aware Maximum Inner Product Search. 2341-2350 - Yu-An Liu, Ruqing Zhang, Jiafeng Guo, Maarten de Rijke, Yixing Fan, Xueqi Cheng:
On the Scaling of Robustness and Effectiveness in Dense Retrieval. 2351-2360 - Harrie Oosterhuis, Rolf Jagerman, Zhen Qin, Xuanhui Wang:
Optimizing Compound Retrieval Systems. 2361-2371 - Julian Killingback, Hansi Zeng, Hamed Zamani:
Hypencoder: Hypernetworks for Information Retrieval. 2372-2383 - Kehan Long, Shasha Li, Chen Xu, Jintao Tang, Ting Wang:
Precise Zero-Shot Pointwise Ranking with LLMs through Post-Aggregated Global Context Information. 2384-2394 - Nuha Abu Onq, Mark Sanderson, Falk Scholer:
Classifying Term Variants in Query Formulation. 2395-2406 - Yuxuan Zong, Benjamin Piwowarski:
Towards Lossless Token Pruning in Late-Interaction Retrieval Models. 2407-2417
Search and Ranking 2
- Jun Woo Chung, Huawei Lin, Weijie Zhao:
Locality-Sensitive Indexing for Graph-Based Approximate Nearest Neighbor Search. 2418-2428 - Shiguang Wu, Zhaochun Ren, Xin Xin, Jiyuan Yang, Mengqi Zhang, Zhumin Chen, Maarten de Rijke, Pengjie Ren:
Constrained Auto-Regressive Decoding Constrains Generative Retrieval. 2429-2440 - Yubao Tang, Ruqing Zhang, Jiafeng Guo, Maarten de Rijke, Yixing Fan, Xueqi Cheng:
Boosting Retrieval-Augmented Generation with Generation-Augmented Retrieval: A Co-Training Approach. 2441-2451 - Yongkang Li, Panagiotis Eustratiadis, Simon Lupart, Evangelos Kanoulas:
Unsupervised Corpus Poisoning Attacks in Continuous Space for Dense Retrieval. 2452-2462 - Zhen Zhang, Weian Li, Yuhan Wang, Qi Qi, Kun Huang:
Hybrid Advertising in the Sponsored Search. 2463-2472 - Min Zhang, Weiren Yu:
UPPR+: Scaling Uncertain Personalised PageRank Computation on Billion-Sized Graphs with Mutually Exclusive Edges. 2473-2482
Efficiency
- Mugeng Liu, Siqi Zhong, Qi Yang, Yudong Han, Xuanzhe Liu, Yun Ma:
WebANNS: Fast and Efficient Approximate Nearest Neighbor Search in Web Browsers. 2483-2492 - Ferdinand Schlatt, Tim Hagen, Martin Potthast, Matthias Hagen:
TITE: Token-Independent Text Encoder for Information Retrieval. 2493-2503 - Jan Luca Scheerer, Matei Zaharia, Christopher Potts, Gustavo Alonso, Omar Khattab:
WARP: An Efficient Engine for Multi-Vector Retrieval. 2504-2512 - Cheng Zhang, Jianzhi Wang, Wan-Lei Zhao, Shihai Xiao:
Highly Efficient Disk-based Nearest Neighbor Search on Extended Neighborhood Graph. 2513-2523 - Zheng Bian, Man Lung Yiu, Bo Tang:
IGP: Efficient Multi-Vector Retrieval via Proximity Graph Index. 2524-2533 - Francesco Busolin, Claudio Lucchese, Franco Maria Nardini, Salvatore Orlando, Raffaele Perego, Salvatore Trani, Alberto Veneri:
Efficient Re-ranking with Cross-encoders via Early Exit. 2534-2544
Short Research Papers
- David Otero, Javier Parapar, Álvaro Barreiro:
Limitations of Automatic Relevance Assessments with Large Language Models for Fair and Reliable Retrieval Evaluation. 2545-2549 - Yili Wang:
HTGformer: Heterogeneous Temporal Graph Transformer. 2550-2554 - Jiahao Liu, Dongsheng Li, Hansu Gu, Peng Zhang, Tun Lu, Li Shang, Ning Gu:
Unbiased Collaborative Filtering with Fair Sampling. 2555-2559 - Jiahao Liu, Xueshuo Yan, Dongsheng Li, Guangping Zhang, Hansu Gu, Peng Zhang, Tun Lu, Li Shang, Ning Gu:
Improving LLM-powered Recommendations with Personalized Information. 2560-2565 - Jiahao Liu, Shengkang Gu, Dongsheng Li, Guangping Zhang, Mingzhe Han, Hansu Gu, Peng Zhang, Tun Lu, Li Shang, Ning Gu:
AgentCF++: Memory-enhanced LLM-based Agents for Popularity-aware Cross-domain Recommendations. 2566-2571 - Xinjie Shen, Zhichao Geng, Yang Yang:
Exploring ℓ0 Sparsification for Inference-free Sparse Retrievers. 2572-2576 - Guilherme Ramos, Ludovico Boratto, Mirko Marras:
Private Preferences, Public Rankings: A Privacy-Preserving Framework for Marketplace Recommendations. 2577-2581 - Dario Di Palma, Felice Antonio Merra, Maurizio Sfilio, Vito Walter Anelli, Fedelucio Narducci, Tommaso Di Noia:
Do LLMs Memorize Recommendation Datasets? A Preliminary Study on MovieLens-1M. 2582-2586 - Shui Liu, Mingyuan Tao, Maofei Que, Pan Li, Dong Li, Shenghua Ni, Zhuoran Zhuang:
NAM: A Normalization Attention Model for Personalized Product Search In Fliggy. 2587-2591 - Yinjiang Cai, Jiangpan Hou, Yangping Zhu, Yuan Nie:
Interest Changes: Considering User Interest Life Cycle in Recommendation System. 2592-2596 - Shion Ishikawa, Young-joo Chung, Yun-Ching Liu, Yu Hirate:
Counterfactual Model Selection in Contextual Bandits. 2597-2601 - Jiaman He, Zikang Leng, Dana McKay, Johanne R. Trippas, Damiano Spina:
Characterising Topic Familiarity and Query Specificity Using Eye-Tracking Data. 2602-2606 - Hongxiang Lin, Yixiao Zhou, Huiying Hu, Xiaoqing Lyu:
Improving Link Sign Prediction in Signed Bipartite Graphs via Balanced Line Graphs. 2607-2611 - Hongxiang Lin, Yixiao Zhou, Huiying Hu, Xiaoqing Lyu:
Multi-Interest Matching for Personalized News Recommendation with Large Language Models. 2612-2616 - Djoerd Hiemstra:
Score-Fitted Indexes and Constant Length Indexes for Information Retrieval. 2617-2621 - Francesco Luigi De Faveri, Guglielmo Faggioli, Nicola Ferro, Kalervo Järvelin:
Evaluating Multi-Dimensional Cumulated Utility in Information Retrieval. 2622-2626 - Xiana Carrera, Marcos Fernández-Pichel, David E. Losada:
Generating Effective Health-Related Queries for Promoting Reliable Search Results. 2627-2631 - William Fleshman, Benjamin Van Durme:
RE-AdaptIR: Improving Information Retrieval through Reverse Engineered Adaptation. 2632-2636 - Mozhgan Talebpour, Yunfei Long, Alba Garcia Seco de Herrera, Shoaib Jameel:
Bias in Language Models: Interplay of Architecture and Data? 2637-2641 - Tsai-Tsung Chen, Chuan-Ju Wang, Ming-Feng Tsai:
Dynamic Margin-based Contrastive Learning for Robust Negative Sampling in Information Retrieval. 2642-2646 - Yue Zhang, Yankai Chen, Yingli Zhou, Yucan Guo, Xiaolin Han, Chenhao Ma:
UTCS: Effective Unsupervised Temporal Community Search with Pre-training of Temporal Dynamics and Subgraph Knowledge. 2647-2651 - Jian Zhang, Tianqing Zhang, Qi Li, Hongwei Wang:
EIoU-EMC: A Novel Loss for Domain-specific Nested Entity Recognition. 2652-2657 - Yue Dai, Soyeon Caren Han, Wei Liu:
Graph-Based Multimodal Contrastive Learning for Chart Question Answering. 2658-2663 - Rui Dong, Wentao Ouyang, Xiangzheng Liu:
ELEC: Efficient Large Language Model-Empowered Click-Through Rate Prediction. 2664-2668 - Erhan Zhang, Xingzhu Wang, Peiyuan Gong, Zixuan Yang, Jiaxin Mao:
Exploring Human-Like Thinking in Search Simulations with Large Language Models. 2669-2673 - Arthur Satouf, Gabriel Ben Zenou, Benjamin Piwowarski, Habiboulaye Amadou Boubacar, Pablo Piantanida:
Rational Retrieval Acts: Leveraging Pragmatic Reasoning to Improve Sparse Retrieval. 2674-2678 - Hansi Zeng, Julian Killingback, Hamed Zamani:
Scaling Sparse and Dense Retrieval in Decoder-Only LLMs. 2679-2684 - Sijin Lu, Zhibo Man, Fangyuan Luo, Jun Wu:
Dual Debiasing in LLM-based Recommendation. 2685-2689 - Chenglong Ma, Ziqi Xu, Yongli Ren, Danula Hettiachchi, Jeffrey Chan:
PUB: An LLM-Enhanced Personality-Driven User Behaviour Simulator for Recommender System Evaluation. 2690-2694 - Qingqing Long, Haixin Wang, Jinan Sun, Wei Xiang, Yijia Xiao, Yusheng Zhao, Xiao Luo:
Learning Resistant Binary Descriptors Against Noise for Efficient Image Retrieval. 2695-2699 - Siyuan Li, Yongping Du, Mingyang Li:
Graph-Augmented Retrieval with Memory-Driven Reasoning and Constraint-Aware Filtering for MultiHop QA. 2700-2705 - Yong-En Tian, Yu-Chien Tang, Kuang-Da Wang, An-Zi Yen, Wen-Chih Peng:
Template-Based Financial Report Generation in Agentic and Decomposed Information Retrieval. 2706-2710 - Francesco Luigi De Faveri, Guglielmo Faggioli, Nicola Ferro:
A Comparative Study of Large Language Models and Traditional Privacy Measures to Evaluate Query Obfuscation Approaches. 2711-2716 - Robin Ungruh, Alejandro Bellogín, Maria Soledad Pera:
From Monolith to Mosaic: Uncovering Behavioral Differences for Choice Models in Recommender Systems Simulations. 2717-2722 - Weronika Lajewska, Krisztian Balog:
GINGER: Grounded Information Nugget-Based Generation of Responses. 2723-2727 - Xueqiang Zeng, Guangcheng Fu, Haofei Chen, Qiyun Peng, Mingwen Wang:
Interactive Code Information Integrated Programming Knowledge Tracing. 2728-2732 - Jie Wu, Mengshu Hou:
Retrieving Tables via Inter- and Intra-Content Contrastive Representation Learning. 2733-2737 - Marco Braga, Pranav Kasela, Alessandro Raganato, Gabriella Pasi:
Investigating Task Arithmetic for Zero-Shot Information Retrieval. 2738-2743 - Wei Chen, Jiao Li, Jian Lang, Zhangtao Cheng, Yong Wang, Fan Zhou:
Echoes in the Feed: Evolution-aware Prompt-augmented Micro-video Popularity Prediction. 2744-2748 - Cristina Ioana Muntean, Franco Maria Nardini, Raffaele Perego, Guido Rocchietti, Cosimo Rulli:
Efficient Conversational Search via Topical Locality in Dense Retrieval. 2749-2753 - Kiryl Liakhnovich, Oleg Lashinin, Andrei Babkin, Michael Pechatov, Marina Ananyeva:
SMMR: Sampling-Based MMR Reranking for Faster, More Diverse, and Balanced Recommendations and Retrieval. 2754-2758 - Nandan Thakur, Ronak Pradeep, Shivani Upadhyay, Daniel Campos, Nick Craswell, Ian Soboroff, Hoa Trang Dang, Jimmy Lin:
Assessing Support for the TREC 2024 RAG Track: A Large-Scale Comparative Study of LLM and Human Evaluations. 2759-2763 - Qingzhi He, Yizhen Jia, Wentong Li, Shengcai Liao, Rong Quan, Tong Cui, Jie Qin:
Large Models are Good Annotators for Zero-Shot Learning. 2764-2768 - Zheyu Chen, Jinfeng Xu, Yutong Wei, Ziyue Peng:
Squeeze and Excitation: A Weighted Graph Contrastive Learning for Collaborative Filtering. 2769-2773 - Shirin Seyedsalehi, Hai Son Le, Morteza Zihayat, Ebrahim Bagheri:
Bias-Aware Curriculum Sampling For Fair Ranking. 2774-2778 - Niv Bardas, Tommy Mordo, Oren Kurland, Moshe Tennenholtz:
Automatic Document Editing for Improved Ranking. 2779-2783 - Negar Arabzadeh, Charles L. A. Clarke:
A Human-AI Comparative Analysis of Prompt Sensitivity in LLM-Based Relevance Judgment. 2784-2788 - Aldo Porco, Dhruv Mehra, Igor Malioutov, Karthik Radhakrishnan, Moniba Keymanesh, Daniel Preotiuc-Pietro, Sean MacAvaney, Pengxiang Cheng:
An Alternative to FLOPS Regularization to Effectively Productionize SPLADE-Doc. 2789-2793 - Negar Arabzadeh, Ebrahim Bagheri:
VAP3: Variation-Aware Prompt Performance Prediction. 2794-2799 - Kap Thang, Hawre Hosseini, Hossein Fani:
Translative Neural Team Recommendation: From Multilabel Classification to Sequence Prediction. 2800-2806 - Yige Yuan, Bingbing Xu, Hexiang Tan, Fei Sun, Teng Xiao, Wei Li, Huawei Shen, Xueqi Cheng:
Fact-Level Calibration and Correction for Long-Form Generations. 2807-2811 - Paul Thomas, Douglas W. Oard, Eugene Yang, Dawn J. Lawrie, James Mayfield:
System Comparison Using Automated Generation of Relevance Judgements in Multiple Languages. 2812-2816 - Mengxiao Song, Tianyun Liu, Wenyuan Zhang, Quangang Li, Tingwen Liu:
Dual-perspective Data Augmentation and Curriculum Learning Framework for Low-resource Complex Named Entity Recognition. 2817-2821 - Qiwei Wang, Dandan Lin, Wenqing Lin, Ziming Wu:
FROG: Effective Friend Recommendation in Online Games via Modality-aware User Preferences. 2822-2826 - Rishav Ranaut, Sriparna Saha, Adam Jatowt, Manish Gupta:
Text Obsoleteness Detection using Large Language Models. 2827-2831 - Naihe Feng, Yi Sui, Shiyi Hou, Jesse C. Cresswell, Ga Wu:
Response Quality Assessment for Retrieval-Augmented Generation via Conditional Conformal Factuality. 2832-2836 - Kyusik Kim, Jeongwoo Ryu, Dongseok Heo, Hyungwoo Song, Changhoon Oh, Bongwon Suh:
Conversational Argument Search Under Selective Exposure: Strategies for Balanced Perspective Access. 2837-2842 - Xin Song, Xiaochen Li, Jinxin Hu, Hong Wen, Zulong Chen, Yu Zhang, Xiaoyi Zeng, Jing Zhang:
LREA: Low-Rank Efficient Attention on Modeling Long-Term User Behaviors for CTR Prediction. 2843-2847 - Jeongho Kim, Chanyeong Heo, Jaehee Jung:
ReCDAP: Relation-based Conditional Diffusion with Attention Pooling for Few-Shot Knowledge Graph Completion. 2848-2852 - Aurélien Bournonville, Gaël Dias, Thomas Largillier, Emmanuel Marchand, Fabrice Maurel, Guillaume Pitel, François Rioult:
Multilingual Evaluation of Main Content Extractors for Web Pages. 2853-2857 - Maik Fröbe, Andrew Parry, Ferdinand Schlatt, Sean MacAvaney, Benno Stein, Martin Potthast, Matthias Hagen:
Large Language Model Relevance Assessors Agree With One Another More Than With Human Assessors. 2858-2863 - Maximilian Heinrich, Marvin Vogel, Alexander Bondarenko, Matthias Hagen, Benno Stein:
Axiomatic Re-Ranking for Argument Retrieval. 2864-2869 - Junzhe Jiang, Kai Zhang, Junfeng Kang, Yucong Luo, Min Gao:
GEAR: Generalized Alternating Regressor for Multi-Behavior Sequential Recommendation. 2870-2874 - Jack McKechnie, Graham McDonald, Craig Macdonald:
Measuring Hypothesis Testing Errors in the Evaluation of Retrieval Systems. 2875-2879 - Mao Pan, Xuanhua Yang, Nan Qiao, Dongyue Wang, Feng Mei, Xiwei Zhao, Sulong Xu:
Hierarchical User Long-term Behavior Modeling for Click-Through Rate Prediction. 2880-2884 - Heyuan Huang, Xingyu Lou, Changwang Zhang, Chaochao Chen, Kuiyao Dong, Feng Lu, Han Lei, Yihao Wang, Wangchunshu Zhou, Jun Wang:
Training-free Periodic Interest Augmentation in Incremental Recommendation. 2885-2889 - Susmita Das, Madhusudan Ghosh, Priyanka Swami, Debasis Ganguly, Gul Calikli:
In-Context Learning as an Effective Estimator of Functional Correctness of LLM-Generated Code. 2890-2894 - Bingbing Wang, Zhixin Bai, Qianlong Wang, Jingjie Lin, Min Yang, Xi Zeng, Ruifeng Xu:
More Than Just A Conversation: A Multi-agent Reasoning Graph Knowledge Distillation for Conversational Stance Detection. 2895-2899 - Andreas Chari, Iadh Ounis, Sean MacAvaney:
Lost in Transliteration: Bridging the Script Gap in Neural IR. 2900-2905 - Namjun Lee, Jaekwang Kim:
SEALR: Sequential Emotion-Aware LLM-Based Personalized Recommendation System. 2906-2910 - Geng Tu, Tianhao Wu, Xuan Luo, Xi Zeng, Wenjie Li, Ruifeng Xu:
Meta-Learning for Incomplete Multimodal Sentiment Analysis. 2911-2915 - Zeyan Liang, Graham McDonald, Iadh Ounis:
Document Similarity Enhanced IPS Estimation for Unbiased Learning to Rank. 2916-2920 - Ruihan Zhu, Bo Wang, Dongming Zhao, Jing Liu, Ruifang He, Yuexian Hou:
Balancing Precision and Generalization: Dynamic Instruction Generation for Model Adaptive Zero-Shot Reasoning in LLMs. 2921-2925 - Dawn J. Lawrie, Efsun Kayi, Eugene Yang, James Mayfield, Douglas W. Oard, Scott Miller:
Generate-Distill: Training Cross-Language IR Models with Synthetically-Generated Data. 2926-2930 - Andreas Konstantin Kruff, Timo Breuer, Philipp Schaer:
Evaluating Contrastive Feedback for Effective User Simulations. 2931-2935 - Franco Maria Nardini, Thong Nguyen, Cosimo Rulli, Rossano Venturini, Andrew Yates:
Effective Inference-Free Retrieval for Learned Sparse Representations. 2936-2940 - Aparup Khatua, Tobias Kalmbach, Prasenjit Mitra, Sandipan Sikdar:
Evaluating LLMs' (In)ability to Follow Prompts in QA Tasks. 2941-2945 - Wing Yan Li, Zeqiang Wang, Jon Johnson, Suparna De:
Are Information Retrieval Approaches Good at Harmonising Longitudinal Surveys in Social Science? 2946-2950 - Szu-Ju Chen, Jing Jin, Sheng-Lun Wei, Chien-Hung Chen, Hsin-Hsi Chen:
Retrieving the Right Law: Enhancing Legal Search with Style Translation. 2951-2955 - Shiva Soleimany, Sajad Ebrahimi, Shirin Seyedsalehi, Fattane Zarrinkalam, Ebrahim Bagheri:
Reinforcement Learning for Effective Few-Shot Ranking. 2956-2961 - Janak Kapuriya, Manit Kaushik, Debasis Ganguly, Sumit Bhatia:
Exploring the Role of Diversity in Example Selection for In-Context Learning. 2962-2966 - Mikhail Baklanov, Veronika Bogina, Yehonatan Elisha, Yahlly Schein, Liron I. Allerhand, Oren Barkan, Noam Koenigstein:
Refining Fidelity Metrics for Explainable Recommendations. 2967-2971 - Gregory Polyakov, Catherine Chen, Carsten Eickhoff:
Towards Best Practices of Axiomatic Activation Patching in Information Retrieval. 2972-2976 - Daria Alexander, Arjen P. de Vries:
In a Few Words: Comparing Weak Supervision and LLMs for Short Query Intent Classification. 2977-2981 - João Coelho, Bruno Martins, João Magalhães, Chenyan Xiong:
Aligning Web Query Generation with Ranking Objectives via Direct Preference Optimization. 2982-2986 - Shanxiu He, Wentai Xie, Yifan Qiao, Parker Carlson, Tao Yang:
Low-Cost Document Retrieval with Dense Pseudo-Query Encoding. 2987-2993 - Sandeep Avula, Chia-Jung Lee, Rongting Zhang, Vanessa Murdock:
Measuring the Fairness Gap Between Retrieval and Generation in RAG Systems using a Cognitive Complexity Framework. 2994-2998 - Jinrui Gou, Antonio Mallia, Yifan Liu, Minghao Shao, Torsten Suel:
Fast and Effective Early Termination for Simple Ranking Functions. 2999-3003 - Parker Carlson, Wentai Xie, Shanxiu He, Tao Yang:
Dynamic Superblock Pruning for Fast Learned Sparse Retrieval. 3004-3009 - Revanth Gangi Reddy, Pradeep Dasigi, Md. Arafat Sultan, Arman Cohan, Avirup Sil, Heng Ji, Hannaneh Hajishirzi:
A Large-Scale Study of Reranker Relevance Feedback at Inference. 3010-3014 - Juyeon Kim, Geon Lee, Taeuk Kim, Kijung Shin:
KGMEL: Knowledge Graph-Enhanced Multimodal Entity Linking. 3015-3019 - Hao Deng, Haibo Xing, Kanefumi Matsuyama, Yulei Huang, Jinxin Hu, Hong Wen, Jia Xu, Zulong Chen, Yu Zhang, Xiaoyi Zeng, Jing Zhang:
HeterRec: Heterogeneous Information Transformer for Scalable Sequential Recommendation. 3020-3024 - Ruida Hu, Chao Peng, Jingyi Ren, Bo Jiang, Xiangxin Meng, Qinyun Wu, Pengfei Gao, Xinchen Wang, Cuiyun Gao:
Understanding Large Language Model Performance in Software Engineering: A Large-scale Question Answering Benchmark. 3025-3029 - Qunwei Li, Linghui Li, Jianbin Lin, Wenliang Zhong:
Towards Principled Learning for Re-ranking in Recommender Systems. 3030-3034 - Kenya Abe, Kunihiro Takeoka, Makoto P. Kato, Masafumi Oyamada:
LLM-based Query Expansion Fails for Unfamiliar and Ambiguous Queries. 3035-3039 - Xintong Song, Bin Liang, Yang Sun, Chenhua Zhang, Bingbing Wang, Ruifeng Xu:
Bridging Time Gaps: Temporal Logic Relations for Enhancing Temporal Reasoning in Large Language Models. 3040-3044 - Angel Felipe Magnossão de Paula, J. Shane Culpepper, Alistair Moffat, Sachin Pathiyan Cherumanal, Falk Scholer, Johanne Trippas:
The Effects of Demographic Instructions on LLM Personas. 3045-3049 - Aidan Bell, James Gore, Behrooz Mansouri:
Augmenting Vision-Language Retrieval: The Role of Multimodal LLMs as Synthetic Data Generators. 3050-3054 - Mouly Dewan, Jiqun Liu, Chirag Shah:
LLM-Driven Usefulness Labeling for IR Evaluation. 3055-3059 - Ernest Kirubakaran Selvaraj, Akshay Shah, Shubham Agrawal, Riya Hedaoo, Samira Golsefid:
Permutation-Invariant Transformers for Attribute Embeddings in Information Retrieval. 3060-3064 - Woojun Jung, Susik Yoon:
HAETAE: In-domain Table Pretraining with Header Anchoring. 3065-3069 - Linlin Ding, Mengjunyao Si, Mo Li:
RSGEA: Relationship Structure Line Graph for Semi-supervised Entity Alignment based on Edge Weight Adjustment. 3070-3074 - Junwei Xu, Aisi Zheng, Ling Ding, Huangbin Zhang, Zhengwei Deng, Qun Yu, Xiao-Ping Zhang:
HiLTV: Hierarchical Multi-Distribution Modeling for Lifetime Value Prediction in Online Games. 3075-3079 - Choongwon Park:
LLM as User Simulator: Towards Training News Recommender without Real User Interactions. 3080-3084 - Yoori Oh, Yoseob Han, Joonhyeon Bae, Jaeheon Sim, Kyogu Lee:
Understanding Audio-Text Retrieval Through Singular Value Decomposition. 3085-3089 - Zhuoxing Wei, Qi Liu, Qingchen Xie:
Deep Multiple Quantization Network on Long Behavior Sequence for Click-Through Rate Prediction. 3090-3094
Low Resource Environment Papers
- Olusesan Michael Awoleye, Oluwamayowa Adebisi, Idowu Ademola Atoloye, Atanda Samuel Oladejo, Abiodun T. Atoloye, Cornelius Talade Atere, Victoria Tanimonure:
Leveraging Artificial Intelligence-Powered Virtual Assistant for Information Retrieval in Indigenous Agriculture: Insights from Nigeria. 3095-3097 - Tilahun Yeshambel, Moncef Garouani, Serge Molina, Josiane Mothe:
Dense Retrieval for Low Resource languages - the Case of Amharic Language. 3098-3100 - Stanley Ndebvu, Reuben Moyo, Catherine Chavula:
Advancing Chichewa IR. 3101-3103 - Joseph P. Telemala, Neema Nicodemus Lyimo, Anna R. Kimaro, Camilius A. Sanga:
Towards Enhanced Agricultural Information Access in Kiswahili: Integrating Knowledge Graphs and Retrieval-Augmented Generation. 3104-3106 - Maria Soledad Pera, Theo Huibers, Emiliana Murgia, Monica Landoni:
Some Things Never Change: Overcoming Persistent Challenges in Children IR. 3107-3109 - Ludovico Boratto, Federica Cena, Mirko Marras, Noemi Mauro, Giacomo Medda:
Small Data, Big Impact: Navigating Resource Limitations in Point-of-Interest Recommendation for Individuals with Autism. 3110-3112 - Hunter Briegel, Maya Pagal, J. Shane Culpepper:
IR for AAC Users: A Hyperdimensional Computing (Vector Symbolic Architectures) Approach. 3113-3115 - Silvio Martinico, Franco Maria Nardini, Cosimo Rulli, Rossano Venturini:
Efficient Approximate Nearest Neighbor Search on a Raspberry Pi. 3116-3118 - Md. Danish Kalim, Deepanshu Hardaha, Shivansh Joshi:
When Less is Enough: Optimizations for Low-Cost Recommendation Systems. 3119-3121 - Jean Petit Bikim, Charles Loic Njiosseu, Emmanuel Leuna Fienkak, Azanzi Jiomekong, Sören Auer:
Fair Access to Food Data in Africa: An Approach Based on Retrieval-Augmented Generation. 3122-3124
Reproducibility Papers
- Shuai Wang, Shengyao Zhuang, Bevan Koopman, Guido Zuccon:
2D Matryoshka Training for Information Retrieval. 3125-3134 - Gregor Donabauer, Udo Kruschwitz:
A Reproducibility Study of Graph-Based Legal Case Retrieval. 3135-3144 - Dawn J. Lawrie, Efsun Kayi, James Mayfield, Eugene Yang, Andrew Yates, Douglas W. Oard:
A Reproducibility Study of LLM Setwise Reranker with Heapsort. 3145-3154 - Faisal Shehzad, Maurizio Ferrari Dacrema, Dietmar Jannach:
A Worrying Reproducibility Study of Intent-Aware Recommendation Models. 3155-3164 - Zijian Chen, Ronak Pradeep, Jimmy Lin:
Accelerating Listwise Reranking: Reproducing and Enhancing FIRST. 3165-3172 - Le Nguyen, Preet Jain, Krutik Panchal, Md Tanvirul Alam, Nidhi Rastogi:
Assessing Effective Token Length of Multimodal Models for Text-to-Image Retrieval. 3173-3182 - Mariya Hendriksen, Shuo Zhang, Ridho Reinanda, Mohamed Yahya, Edgar Meij, Maarten de Rijke:
Benchmark Granularity and Model Robustness for Image-Text Retrieval: A Reproducibility Study. 3183-3193 - Negar Arabzadeh, Charles L. A. Clarke:
Benchmarking LLM-based Relevance Judgment Methods. 3194-3204 - Jakub Podolak, Leon Peric, Mina Janicijevic, Roxana Petcu:
Beyond Reproducibility: Advancing Zero-shot LLM Reranking Efficiency with Setwise Insertion. 3205-3213 - Naghmeh Farzi, Laura Dietz:
Does UMBRELA work on other LLMs? 3214-3222 - Jimmy Lin, Arthur Haonan Chen, Carlos Lassance, Xueguang Ma, Ronak Pradeep, Tommaso Teofili, Jasper Xian, Jheng-Hong Yang, Brayden Zhong, Vincent Zhong:
Gosling Grows Up: Retrieval with Learned Dense and Sparse Representations Using Anserini. 3223-3233 - Antonios Tragoudaras, Theofanis Aslanidis, Emmanouil Georgios Lionis, Marina Orozco González, Panagiotis Eustratiadis:
Information Leakage of Sentence Embeddings via Generative Embedding Inversion Attacks. 3234-3243 - Hrishita Chakrabarti, Diletta Micol Tobia, Monica Landoni, Maria Soledad Pera:
Inside Out 2: Make Room for New Emotions & LLM: A Reproducibility Study of the Emotional Side of Search in the Classroom. 3244-3254 - Oliver Savolainen, Dur e Najaf Amjad, Roxana Petcu:
Interpreting Multilingual and Document-Length Sensitive Relevance Computations in Neural Retrieval Models through Axiomatic Causal Interventions. 3255-3264 - Zechun Niu, Zhilin Zhang, Jiaxin Mao, Qingyao Ai, Ji-Rong Wen:
Investigating the Robustness of Counterfactual Learning to Rank Models: A Reproducibility Study. 3265-3275 - Zheng Yao, Shuai Wang, Guido Zuccon:
Pre-training vs. Fine-tuning: A Reproducibility Study on Dense Retrieval Knowledge Acquisition. 3276-3285 - Jonathan J. Ross, Ekaterina Khramtsova, Anton van der Vegt, Bevan Koopman, Guido Zuccon:
RARR Unraveled: Component-Level Insights into Hallucination Detection and Mitigation. 3286-3295 - Shuai Wang, Harrisen Scells, Bevan Koopman, Guido Zuccon:
Reassessing Large Language Model Boolean Query Generation for Systematic Reviews. 3296-3305 - Dilina Chandika Rajapakse, Dietmar Jannach:
Reassessing the Effectiveness of Reinforcement Learning based Recommender Systems for Sequential Recommendation. 3306-3314 - Reyhaneh Goli, Alistair Moffat, George Buchanan:
Refined Medical Search via Dense Retrieval and User Interaction. 3315-3324 - Zhen Zhang, Xinyu Ma, Weiwei Sun, Pengjie Ren, Zhumin Chen, Shuaiqiang Wang, Dawei Yin, Maarten de Rijke, Zhaochun Ren:
Replication and Exploration of Generative Retrieval over Dynamic Corpora. 3325-3334 - Jingfen Qiao, Jia-Huei Ju, Xinyu Ma, Evangelos Kanoulas, Andrew Yates:
Reproducibility, Replicability, and Insights into Visual Document Retrieval with Late Interaction. 3335-3345 - Coen van den Elsen, Francien Barkhof, Thijmen Nijdam, Simon Lupart, Mohammad Aliannejadi:
Reproducing NevIR: Negation in Neural Information Retrieval. 3346-3356 - Matej Mosnar, Adam Skurla, Branislav Pecher, Matus Tibensky, Jan Jakubcik, Adrian Bindas, Peter Sakalik, Ivan Srba:
Revisiting Algorithmic Audits of TikTok: Poor Reproducibility and Short-term Validity of Findings. 3357-3366 - Cesare Campagnano, Antonio Mallia, Fabrizio Silvestri:
Unveiling DIME: Reproducibility, Generalizability, and Formal Analysis of Dimension Importance Estimation for Dense Retrieval. 3367-3376 - Yiling Tao, Shuyi Wang, Jiaxi Yang, Guido Zuccon:
Unlearning for Federated Online Learning to Rank: A Reproducibility Study. 3377-3386 - Andrew Parry, Maik Fröbe, Harrisen Scells, Ferdinand Schlatt, Guglielmo Faggioli, Saber Zerhoudi, Sean MacAvaney, Eugene Yang:
Variations in Relevance Judgments and the Shelf Life of Test Collections. 3387-3397
Resource Papers
- Yifan He, To Eun Kim, Fernando Diaz, Jaime Arguello, Bhaskar Mitra:
Tip of the Tongue Query Elicitation for Simulated Evaluation. 3398-3407 - Alistair Moffat, Joel Mackenzie, Antonio Mallia, Matthias Petri:
A Flexible Resource for Top-Weighted Comparisons Between Sets and Rankings. 3408-3411 - Kayhan Latifzadeh, Jacek Gwizdka, Luis A. Leiva:
A Versatile Dataset of Mouse and Eye Movements on Search Engine Results Pages. 3412-3421 - Vadym Gryshchuk, Michiel M. A. Spapé, Maria Maistro, Christina Lioma, Tuukka Ruotsalo:
An EEG Dataset of Word-level Brain Responses for Semantic Text Relevance. 3422-3432 - Qiaosheng Chen, Kaijia Huang, Xiao Zhou, Weiqing Luo, Yuanning Cui, Gong Cheng:
Benchmarking Recommendation, Classification, and Tracing Based on Hugging Face Knowledge Graph. 3433-3443 - Armin Toroghi, Willis Guo, Scott Sanner:
CoLoTa: A Dataset for Entity-based Commonsense Reasoning over Long-Tail Knowledge. 3444-3454 - Zahra Abbasiantaeb, Simon Lupart, Leif Azzopardi, Jeffrey Dalton, Mohammad Aliannejadi:
Conversational Gold: Evaluating Personalized Conversational Search System Using Gold Nuggets. 3455-3465 - Marco Alessio, Simone Merlo, Tommaso Di Noia, Guglielmo Faggioli, Marco Ferrante, Nicola Ferro, Cristina Ioana Muntean, Franco Maria Nardini, Fedelucio Narducci, Raffaele Perego, Giuseppe Santucci, Nicola Viterbo:
CoSRec: A Joint Conversational Search and Recommendation Dataset. 3466-3477 - Alberto Carlo Maria Mancino, Salvatore Bufi, Angela Di Fazio, Antonio Ferrara, Daniele Malitesta, Claudio Pomo, Tommaso Di Noia:
DataRec: A Python Library for Standardized and Reproducible Data Management in Recommender Systems. 3478-3487 - Ornella Irrera, Stefano Marchesin, Farzad Shami, Gianmaria Silvello:
Doctron: A Web-based Collaborative Annotation Tool for Ground Truth Creation in IR. 3488-3497 - Preetam Prabhu Srikar Dammu, Himanshu Naidu, Chirag Shah:
Dynamic-KGQA: A Scalable Framework for Generating Adaptive Question Answering Datasets. 3498-3508 - Zhiyuan Peng, Jinming Nian, Alexandre V. Evfimievski, Yi Fang:
ELOQ: Resources for Enhancing LLM Detection of Out-of-Scope Questions. 3509-3519 - Mark D. Smucker, Houmaan Chamani:
Extending MovieLens-32M to Provide New Evaluation Objectives. 3520-3529 - Enes Altuncu, Can Baskent, Sanjay Bhattacherjee, Shujun Li, Dwaipayan Roy:
FACTors: A New Dataset for Studying the Fact-checking Ecosystem. 3530-3539 - Chen Xu, Zhirui Deng, Clara Rus, Xiaopeng Ye, Yuanna Liu, Jun Xu, Zhicheng Dou, Ji-Rong Wen, Maarten de Rijke:
FairDiverse: A Comprehensive Toolkit for Fairness- and Diversity-aware Information Retrieval. 3540-3550 - Shrestha Mohanty, Negar Arabzadeh, Andrea Tupini, Yuxuan Sun, Alexey Skrynnik, Artem Zholus, Marc-Alexandre Côté, Julia Kiseleva:
IDAT: A Multi-Modal Dataset and Toolkit for Building and Evaluating Interactive Task-Solving Agents. 3551-3562 - Sourav Saha, Harsh Agarwal, Venktesh V, Avishek Anand, Swastik Mohanty, Debapriyo Majumdar, Mandar Mitra:
ir_explain: A Python Library of Explainable IR Methods. 3563-3572 - Weihang Su, Baoqing Yue, Qingyao Ai, Yiran Hu, Jiaqi Li, Changyue Wang, Kaiyuan Zhang, Yueyue Wu, Yiqun Liu:
JuDGE: Benchmarking Judgment Document Generation for Chinese Legal System. 3573-3583 - Andrea Pasin, Nicola Ferro:
KIMERA: From Evaluation-as-a-Service to Evaluation-in-the-Cloud. 3584-3594 - Tommy Mordo, Tomer Kordonsky, Haya Nachimovsky, Moshe Tennenholtz, Oren Kurland:
LEMSS: LLM-Based Platform for Multi-Agent Competitive Search Simulation. 3595-3605 - Haitao Li, Yifan Chen, Hu YiRan, Qingyao Ai, Junjie Chen, Xiaoyu Yang, Jianhui Yang, Yueyue Wu, Zeyang Liu, Yiqun Liu:
LexRAG: Benchmarking Retrieval-Augmented Generation in Multi-Turn Legal Consultation Conversation. 3606-3615 - Qinhan Yu, Zhiyou Xiao, Binghui Li, Zhengren Wang, Chong Chen, Wentao Zhang:
MRAMG-Bench: A Comprehensive Benchmark for Advancing Multimodal Retrieval-Augmented Multimodal Generation. 3616-3626 - Arezo Shakeri, Mina Farmanbar, Krisztian Balog:
MultiConAD: A Unified Multilingual Conversational Dataset for Early Alzheimer's Detection. 3627-3637 - Lingxi Cui, Huan Li, Ke Chen, Lidan Shou, Gang Chen:
nlcTables: A Dataset for Marrying Natural Language Conditions with Table Discovery. 3638-3647 - Riccardo Lunardi, Michael Soprano, Paolo Coppola, Vincenzo Della Mea, Stefano Mizzaro, Kevin Roitero:
PILs of Knowledge: A Synthetic Benchmark for Evaluating Question Answering Systems in Healthcare. 3648-3658 - Jie Zou, Mohammad Aliannejadi, Evangelos Kanoulas, Shuxi Han, Heli Ma, Zheng Wang, Yang Yang, Heng Tao Shen:
PSCon: Product Search Through Conversations. 3659-3669 - Jia Chen, Qian Dong, Haitao Li, Xiaohui He, Yan Gao, Shaosheng Cao, Yi Wu, Ping Yang, Chen Xu, Yao Hu, Qingyao Ai, Yiqun Liu:
Qilin: A Multimodal Information Retrieval Dataset with APP-level User Sessions. 3670-3680 - Sahel Sharifymoghaddam, Ronak Pradeep, Andre Slavescu, Ryan Nguyen, Andrew Xu, Zijian Chen, Yilin Zhang, Yidi Chen, Jasper Xian, Jimmy Lin:
RankLLM: A Python Package for Reranking with LLMs. 3681-3690 - Björn Engelmann, Fabian Haak, Philipp Schaer, Mani Erfanian Abdoust, Linus Netze, Meik Bittkowski:
REANIMATOR: Reanimate Retrieval Test Collections with Extracted and Synthetic Resources. 3691-3701 - Santiago de Leon-Martinez, Jingwei Kang, Róbert Móro, Maarten de Rijke, Branislav Kveton, Harrie Oosterhuis, Mária Bieliková:
RecGaze: The First Eye Tracking and User Interaction Dataset for Carousel Interfaces. 3702-3711 - Corbin Rosset, Ho-Lam Chung, Guanghui Qin, Ethan C. Chau, Zhuo Feng, Ahmed Awadallah, Jennifer Neville, Nikhil Rao:
Researchy Questions: A Dataset of Multi-Perspective, Decompositional Questions for Deep Research. 3712-3722 - Benjamin Vendeville, Liana Ermakova, Pierre De Loor:
Resource for Error Analysis in Text Simplification: New Taxonomy and Test Collection. 3723-3732 - Xiaoqing Zhang, Yuhan Liu, Jianzhou Wang, Zhenxing Hu, Xiuying Chen, Rui Yan:
SAGraph: A Large-Scale Social Graph Dataset with Comprehensive Context for Influencer Selection in Marketing. 3733-3742 - Ashmi Banerjee, Adithi Satish, Fitri Nur Aisyah, Wolfgang Wörndl, Yashar Deldjoo:
SynthTRIPs: A Knowledge-Grounded Framework for Benchmark Data Generation for Personalized Tourism Recommenders. 3743-3752 - Prachuryya Kaushik, Shivansh Mishra, Ashish Anand:
TAFSIL: Taxonomy Adaptable Fine-grained Entity Recognition through Distant Supervision for Indian Languages. 3753-3763 - Tim Hagen, Maik Fröbe, Jan Heinrich Merker, Harrisen Scells, Matthias Hagen, Martin Potthast:
TIREx Tracker: The Information Retrieval Experiment Tracker. 3764-3771 - Heng Er Metilda Chee, Jiayin Wang, Zhiqiang Guo, Weizhi Ma, Qinglang Guo, Min Zhang:
U-Sticker: A Large-Scale Multi-Domain User Sticker Dataset for Retrieval and Personalization. 3772-3781 - Grigor Bezirganyan, Sana Sellami, Laure Berti-Équille, Sébastien Fournier:
LUMA: A Benchmark Dataset for Learning from Uncertain and Multimodal Data. 3782-3791 - Jonathan Gerber, Jasmin S. Saxer, Kimia Rabishokr, Bruno B. Kreiner, Andreas Weiler:
WebClasSeg-25: A Dual-Classified Webpage Segmentation Dataset - Integrating Functional and Maturity-Based Analysis. 3792-3801 - Michael Dinzinger, Laura Caspari, Kanishka Ghosh Dastidar, Jelena Mitrovic, Michael Granitzer:
WebFAQ: A Multilingual Collection of Natural Q&A Datasets for Dense Retrieval. 3802-3811 - Aneta Koleva, Martin Ringsquandl, Ahmed Hatem, Thomas A. Runkler, Volker Tresp:
Wiki-TabNER: Integrating Named Entity Recognition into Wikipedia Tables. 3812-3820 - Jamshid Mozafari, Florian Gerhold, Adam Jatowt:
WikiHint: A Human-Annotated Dataset for Hint Ranking and Generation. 3821-3831 - Jamshid Mozafari, Abdelrahman Abdallah, Bhawna Piryani, Adam Jatowt:
Wrong Answers Can Also Be Useful: PlausibleQA - A Large-Scale QA Dataset with Answer Plausibility Scores. 3832-3842
Perspective Papers
- Hideo Joho, Joemon M. Jose:
An Instruction-Response Perspective on Large Language Models in Information Retrieval Tasks. 3843-3852 - Frans van der Sluis, Leif Azzopardi, Florian Meier:
From Query to Conscience: The Importance of Information Retrieval in Empowering Socially Responsible Consumerism. 3853-3864 - Krisztian Balog, Don Metzler, Zhen Qin:
Rankers, Judges, and Assistants: Towards Understanding the Interplay of LLMs in Information Retrieval Evaluation. 3865-3875 - ChengXiang Zhai:
Information Retrieval for Artificial General Intelligence: A New Perspective of Information Retrieval Research. 3876-3886 - Yashar Moshfeghi, Niall McGuire:
Brain-Machine Interfaces & Information Retrieval Challenges and Opportunities. 3887-3898 - Mohanna Hoveyda, Harrie Oosterhuis, Arjen P. de Vries, Maarten de Rijke, Faegheh Hasibi:
Adaptive Orchestration of Modular Generative Information Access Systems. 3899-3910 - Chirag Shah, Ryen W. White:
From To-Do to Ta-Da: Transforming Task-Focused IR with Generative AI. 3911-3921 - Sunhao Dai, Wenjie Wang, Liang Pang, Jun Xu, See-Kiong Ng, Ji-Rong Wen, Tat-Seng Chua:
NExT-Search: Rebuilding User Feedback Ecosystem for Generative AI Search. 3922-3931 - Yashar Deldjoo, Nikhil Mehta, Maheswaran Sathiamoorthy, Shuai Zhang, Pablo Castells, Julian J. McAuley:
Toward Holistic Evaluation of Recommender Systems Powered by Generative Models. 3932-3942 - Tetsuya Sakai:
My System Is As Effective As Yours: Reproducibility, Sustainability, and More. 3943-3953
Demo Papers
- Sayantan Polley, Govind Shukla, Pritha Ghosal, Andreas Nürnberger:
RelEx: An XAI-Enhanced Relevance Feedback Model for User-Adaptive Explanations. 3954-3958 - Xinyu Mao, Teerapong Leelanupab, Martin Potthast, Harrisen Scells, Guido Zuccon:
AiReview: An Open Platform for Accelerating Systematic Reviews with LLMs. 3959-3963 - Yuhan Hu, Ziyu Lyu, Lu Bai, Lixin Cui:
FairWork: A Generic Framework For Evaluating Fairness In LLM-Based Job Recommender System. 3964-3968 - Yi Xu, Luoyi Fu, Shuqian Sheng, Bo Xue, Jiaxin Ding, Lei Zhou, Xinbing Wang, Chenghu Zhou:
DeepReport: An AI-assisted Idea Generation System for Scientific Research. 3969-3973 - Sean MacAvaney:
Artifact Sharing for Information Retrieval Research. 3974-3979 - Benedikt Kantz, Kevin Innerebner, Peter Waldert, Stefan Lengauer, Elisabeth Lex, Tobias Schreck:
OnSET: Ontology and Semantic Exploration Toolkit. 3980-3984 - Farzad Shami, Stefano Marchesin, Gianmaria Silvello:
Fact Verification in Knowledge Graphs Using LLMs. 3985-3989 - Ruijie Wang, Zhiruo Zhang, Luca Rossetto, Florian Ruosch, Abraham Bernstein:
NLQxform-UI: An Interactive and Intuitive Scholarly Question Answering System. 3990-3993 - Radin Hamidi Rad, Amir Khosrojerdi, Ebrahim Bagheri:
ROKSANA: An Open-Source Toolkit for Robust Graph-Based Keyword Search. 3994-3998 - Eugene Yang, Dawn J. Lawrie, Hoa Dang, Ian Soboroff, James Mayfield:
Nugget-based Annotation Protocol and Tool For Evaluating Long-form Retrieval-Augmented Generation. 3999-4003 - Saron Samuel, Dan DeGenaro, Jimena Guallar-Blasco, Kate Sanders, Seun Eisape, Arun Reddy, Alexander Martin, Andrew Yates, Eugene Yang, Cameron Carpenter, David Etter, Efsun Kayi, Matthew Wiesner, Kenton Murray, Reno Kriz:
MMMORRF: Multimodal Multilingual MOdularized Reciprocal Rank Fusion. 4004-4009 - Hadi Ghaemi, Lauren Snyder, Markus Stocker:
Advancing Scientific Knowledge Retrieval and Reuse with a Novel Digital Library for Machine-Readable Knowledge. 4010-4014 - Markus Nilles, Ralf Schenkel:
Conversational Bibliographic Search. 4015-4019 - Sirina Håland, Trond Karlsen Strøm, Petra Galuscáková:
Navigating Speech Recording Collections with AI-Generated Illustrations. 4020-4024 - Mariano Barone, Antonio Romano, Giuseppe Riccio, Marco Postiglione, Vincenzo Moscato:
Combating Biomedical Misinformation through Multi-modal Claim Detection and Evidence-based Verification. 4025-4029 - Ayush Kumar Shah, Abhisek Dey, Leo Luo, Bryan Amador, Patrick Philippy, Ming Zhong, Siru Ouyang, David Mark Friday, David Bianchi, Nick Jackson, Richard Zanibbi, Jiawei Han:
Multimodal Search in Chemical Documents and Reactions. 4030-4034 - Craig Macdonald, Jinyuan Fang, Andrew Parry, Zaiqiao Meng:
Constructing and Evaluating Declarative RAG Pipelines in PyTerrier. 4035-4040 - Abhisek Dey, Nathaniel H. Stanley, Richard Zanibbi:
Targeted Multi-Modal Passage Search for Molecules and their Synthesis Pathways. 4041-4045 - Kevin Ros, Rahul Suresh, ChengXiang Zhai:
InstInfo: A Just-in-Time Literature Recommendation System for Presentations. 4046-4050 - Fumian Chen, Sotheara Veng, Joshua Wilson, Xiaoming Li, Hui Fang:
CoachGPT: A Scaffolding-based Academic Writing Assistant. 4051-4055 - Dean E. Alvarez, ChengXiang Zhai:
TINK: Text Information Navigation Kit. 4056-4060 - Xueguang Ma, Luyu Gao, Shengyao Zhuang, Jiaqi Samantha Zhan, Jamie Callan, Jimmy Lin:
Tevatron 2.0: Unified Document Retrieval Toolkit across Scale, Language, and Modality. 4061-4065 - Yidong Liang, Zhijing Wu, Yuchen He, Fengming Liang, Kexin Liu, Jiaxin Mao:
A Flexible User Study Platform for Generative Information Retrieval. 4066-4070 - Guido Zuccon:
ReviewHQ: An API-Based System for Reviewer Assignment and Quality Control in Research Conferences. 4071-4075 - Diarmuid O'Reilly-Morgan, Erika Duriakova, Elias Z. Tragos, Neil Hurley, Aonghus Lawlor:
NodeRec+: A Lightweight Framework for Federated Recommender Systems. 4076-4080 - Ashish Chouhan, Saifeldin Mandour, Michael Gertz:
ClusterChat: Multi-Feature Search for Corpus Exploration. 4081-4085
Tutorials
- Yang Deng, Moxin Li, Liang Pang, Wenxuan Zhang, Wai Lam:
Unveiling Knowledge Boundary of Large Language Models for Trustworthy Information Access. 4086-4089 - Chung-Chi Chen, Yongjae Lee, Alejandro Lopez-Lira, Chanyeol Choi, Richard McCreadie, Javier Sanz-Cruzado:
Information Retrieval in Finance: Industry and Academic Perspectives on Innovation. 4090-4093 - Fengran Mo, Chuan Meng, Mohammad Aliannejadi, Jian-Yun Nie:
Conversational Search: From Fundamentals to Frontiers in the LLM Era. 4094-4097 - Yifei Yuan, Zahra Abbasiantaeb, Mohammad Aliannejadi, Yang Deng:
Query Understanding in LLM-based Conversational Information Seeking. 4098-4101 - Joel Mackenzie, Sean MacAvaney, Antonio Mallia, Michal Siedlaczek:
Efficient In-Memory Inverted Indexes: Theory and Practice. 4102-4105 - Guido Zuccon, Shengyao Zhuang, Xueguang Ma:
R2LLMs: Retrieval and Ranking with LLMs. 4106-4109 - Xinze Li, Yushi Bai, Bowen Jin, Fengbin Zhu, Liangming Pan, Yixin Cao:
Long Context vs. RAG: Strategies for Processing Long Documents in LLMs. 4110-4113 - Markus Schedl, Elisabeth Lex, Marko Tkalcic:
Psychological Aspects in Retrieval and Recommendation. 4114-4117 - Weihang Su, Qingyao Ai, Jingtao Zhan, Qian Dong, Yiqun Liu:
Dynamic and Parametric Retrieval-Augmented Generation. 4118-4121 - Andrew Yates, Carlos Lassance, Cosimo Rulli, Eugene Yang, Sean MacAvaney, Siddharth A. K. Singh, Thong Nguyen, Yibin Lei:
Neural Lexical Search with Learned Sparse Retrieval. 4122-4125 - Chen Xu, Clara Rus, Yuanna Liu, Marleen de Jonge, Jun Xu, Maarten de Rijke:
Fairness in Information Retrieval from an Economic Perspective. 4126-4129 - Fernando Diaz, Andrew Drozdov, To Eun Kim, Alireza Salemi, Hamed Zamani:
The Second Tutorial on Retrieval-Enhanced Machine Learning: Synthesis and Opportunities. 4130-4133 - Xinyu Lin, Keqin Bao, Jizhi Zhang, Yang Zhang, Wenjie Wang, Fuli Feng:
Navigating Large Language Models for Recommendation: From Architecture to Learning Paradigms and Deployment. 4134-4137 - Krisztian Balog, Nolwenn Bernard, Saber Zerhoudi, ChengXiang Zhai:
Theory and Toolkits for User Simulation in the Era of Generative AI: User Modeling, Synthetic Data Generation, and System Evaluation. 4138-4141
Workshop Summaries
- Yu-An Liu, Haya Nachimovsky, Ruqing Zhang, Oren Kurland, Jiafeng Guo, Moshe Tennenholtz:
Robust-IR @ SIGIR 2025: The First Workshop on Robust Information Retrieval. 4142-4145 - Noemi Mauro, Angelo Geninatti Cossatin, Maria Soledad Pera, Federica Cena, Monica Landoni, Theo Huibers, Emiliana Murgia:
2nd Workshop on Information Retrieval for Understudied Users (IR4U2) - Bridging User-centered AI with IR: Making Information Retrieval Accessible for All. 4146-4149 - Alejandro Bellogín, Ludovico Boratto, Styliani Kleanthous, Elisabeth Lex, Francesca Maridina Malloci, Mirko Marras:
International Workshop on Algorithmic Bias in Search and Recommendation (BIAS 2025). 4150-4152 - Sebastian Bruch, Maik Fröbe, Tim Hagen, Franco Maria Nardini, Martin Potthast:
ReNeuIR at SIGIR 2025: The Fourth Workshop on Reaching Efficiency in Neural Information Retrieval. 4153-4156 - Yubin Kim, Tracy Holloway King, Aditya Chichani, Pallavi Gudipati, Andrew Trotman:
SIGIR 2025 Workshop on eCommerce (ECOM25): From Research to Product: Challenges, Lessons, and Opportunities in eCommerce Search and Recommendations. 4157-4159 - Ralf Krestel, Hidir Aras, Linda Andersson, Florina Piroi, Allan Hanbury, Dean Alderucci:
6th Workshop on Patent Text Mining and Semantic Technologies (PatentSemTech2025). 4160-4163 - Maria Heuss, Catherine Chen, Avishek Anand, Carsten Eickhoff, Suzan Verberne:
Workshop on Explainability in Information Retrieval. 4164-4167 - Negar Arabzadeh, Ziheng Chen, Fabio Petroni, Federico Siciliano, Fabrizio Silvestri, Giovanni Trappolini:
IR-RAG @SIGIR25: The Second Edition of the Workshop on Information Retrieval's Role in RAG Systems. 4168-4171 - Philipp Schaer, Christin Katharina Kreutz, Krisztian Balog, Timo Breuer, Andreas Konstantin Kruff:
Second SIGIR Workshop on Simulations for Information Access (Sim4IA 2025). 4172-4175 - Yujia Zhou, Wei Ji, Xuri Ge, Qingyao Ai, Joemon M. Jose, Yiqun Liu:
The 1st NIP@IR Workshop on New Interaction Paradigms for Information Retrieval in the Era of Generative AI. 4176-4179 - Pengyue Jia, Qingpeng Cai, Xiangyu Zhao, Ling Pan, Xin Xin, Jin Huang, Weinan Zhang, Li Zhao, Dawei Yin, Grace Hui Yang:
AgentIR: 2nd Workshop on Agent-based Information Retrieval. 4180-4183 - Fengbin Zhu, Yunshan Ma, Fuli Feng, Chao Wang, Huanbo Luan, Guangnan Ye, Shuo Zhang, Dhagash Mehta, Pingping Chen, Bing Xiang, Tat-Seng Chua:
FinIR: The 2nd Workshop on Financial Information Retrieval in the Era of Generative AI. 4184-4187 - Clemencia Siro, Hossein A. Rahmani, Mohammad Aliannejadi, Nick Craswell, Charles L. A. Clarke, Guglielmo Faggioli, Bhaskar Mitra, Paul Thomas, Emine Yilmaz:
LLM4Eval: Large Language Model for Evaluation in IR. 4188-4191 - Bart Van den Hurk, Maarten de Rijke, Flora Salim:
MANILA25: SIGIR 2025 Workshop on Information Retrieval for Climate Impact. 4192-4194 - Yashar Deldjoo, Scott Sanner, Enrico Palumbo, Hugues Bouchard, Shuai Zhang, Pablo Castells, Julian J. McAuley:
GENNEXT: The Next Generation of IR and Recommender Systems with Language Agents, Generative Models, and Conversational AI. 4195-4198 - David Carmel, Simone Filice, Guy Horowitz, Yoelle Maarek, Oren Somekh, Ran Tavory:
The LiveRAG Challenge at SIGIR 2025. 4199-4201
Doctoral Consortium
- Eliseo Bao:
Towards Explainable and Safe Systems for Health Data. 4202 - Haya Nachimovsky:
Strategic Multi-Agent Dynamics in Competitive IR. 4203 - Katelyn Harlan:
Search Efficiency for Score-at-a-Time Retrieval. 4204 - Jüri Keller:
Continuous Evaluation in Information Retrieval Across Methods and Time. 4205 - Tommy Mordo:
The Agent Perspective In LLM-Based Strategic Information Retrieval Ecosystems. 4206 - Zahra Abbasiantaeb:
Conversational Search: Towards Personalization and Evaluation. 4207 - Maryam Amirizaniani:
Enhancing AI Agents with Human Theory of Mind (ToM) for Context-Aware Actions. 4208 - William A. Ingram:
Evaluating the Impact of Automated Labeling on Retrieval Instability in Neural IR. 4209 - Watheq Mansour:
Towards Efficient and Effective Multi-modal Retrieval. 4210 - Heydar Soudani:
Enhancing Knowledge Injection in Large Language Models for Efficient and Trustworthy Responses. 4211 - Samy Ateia:
From Professional Search to Generative Deep Research Systems: How Can Expert Oversight Improve Search Outcomes? 4212
SIRIP
- Yue Meng, Cheng Guo, Yi Cao, Tong Liu, Bo Zheng:
A Generative Re-ranking Model for List-level Multi-objective Optimization at Taobao. 4213-4218 - Xuan Ma, Hao Peng, Jia Duan, Zhanhao Ye, Langlang Ye, Zehua Zhang, Jie He, Changping Peng, Zhangang Lin:
Graph Isomorphism Network-Based Cohort Modeling In Click-Through Rate Prediction. 4219-4223 - Chaosheng Dong, Michinari Momma:
MO-LightGBM: A Library for Multi-objective Learning to Rank with LightGBM. 4224-4228 - Rupesh Gupta, Chujie Zheng, Haojun Li:
Retrieval for Semantic People Search. 4229-4233 - Zheng Chai, Hui Lu, Di Chen, Qin Ren, Yuchao Zheng, Xun Zhou:
Adaptive Domain Scaling for Personalized Sequential Modeling in Recommenders. 4234-4238 - Min Zhang, Ganlin Song, Fang Zhou, Dong Liang, Jianwei Xiao, Shengyu Huang, Lizhang Qin, Xi Yan, Rong Shi, Xiyuan Chen, Jing Xu, Zhaojun Zhang, Ye Wang, Gautam Srinivasan, Yang Wang, Qianru Li, Mahesh Masale, Zhengyu Zhang, Zeliang Chen, Ellie Wen, Puneet Sharma:
Negative Exclusion Filtering: Optimizing Ad Delivery Efficiency for Large-Scale Social Media Platforms. 4239-4243 - Jingying Zeng, Zhenwei Dai, Hui Liu, Samarth Varshney, Zhiji Liu, Chen Luo, Zhen Li, Qi He, Xianfeng Tang:
Examples as the Prompt: A Scalable Approach for Efficient LLM Adaptation in E-Commerce. 4244-4248 - Yizhou Sang, Congcong Liu, Yuying Chen, Zhiwei Fang, Xue Jiang, Changping Peng, Zhangang Lin, Ching Law, Jingping Shao:
Post-event Modeling via Causal Optimal Transport for CTR Prediction. 4249-4253 - Youngjune Lee, Haeyu Jeong, Changgeon Lim, Jeong Choi, Hongjun Lim, Hangon Kim, Jiyoon Kwon, Saehun Kim:
IRA: Adaptive Interest-aware Representation and Alignment for Personalized Multi-interest Retrieval. 4254-4258 - Zheng Fang, Donghao Xie, Ming Pang, Chunyuan Yuan, Xue Jiang, Changping Peng, Zhangang Lin, Zheng Luo:
ADORE: Autonomous Domain-Oriented Relevance Engine for E-commerce. 4259-4263 - Hanzhong Liang, Jinghao Shi, Xiang Shen, Zixuan Wang, Vera Wen, Ardalan Mehrani, Zhiqian Chen, Yifan Wu, Zhixin Zhang:
Embedding-based Retrieval in Multi-Modal Content Moderation. 4264-4268 - Zihan Niu, Zheyong Xie, Shaosheng Cao, Chonggang Lu, Zheyu Ye, Tong Xu, Zuozhu Liu, Yan Gao, Jia Chen, Zhe Xu, Yi Wu, Yao Hu:
PaRT: Enhancing Proactive Social Chatbots with Personalized Real-Time Retrieval. 4269-4274 - Wei Bao, Hao Chen, Bang Lin, Tao Zhang, Chengfu Huo:
GRAIN: Group-Reinforced Adaptive Interaction Network for Cold-Start CTR Prediction in E-commerce Search. 4275-4279 - Amritpal Singh Gill, Sannikumar Patel, Péter Varga, Patrick Miller, Sakis Athanasiadis:
From Keywords to Concepts: A Late Interaction Approach to Semantic Product Search on IKEA.com. 4280-4283 - Zihan Xia, Chuanyu Xu, Tao Zhang, Chengfu Huo:
SuperRS: Multi Scenario Reciprocal-Aware Dual MoE for Unified Recommendation-Search Ranking. 4284-4288 - Qi Zheng, Mingjie Zhong, Saisai Gong, Huimin Jiang, Kaixin Wu, Hong Liu, Jia Xu, Linjian Mo:
MAAQR: An LLM-based Multi-Agent Framework for Adaptive Query Rewriting in Alipay Search. 4289-4293 - Yedan Shen, Kaixin Wu, Yuechen Ding, Jingyuan Wen, Hong Liu, Mingjie Zhong, Zhouhan Lin, Jia Xu, Linjian Mo:
Alleviating LLM-based Generative Retrieval Hallucination in Alipay Search. 4294-4298 - Zhenhui Liu, Chunyuan Yuan, Ming Pang, Zheng Fang, Li Yuan, Xue Jiang, Changping Peng, Zhangang Lin, Zheng Luo, Jingping Shao:
Multi-objective Aligned Bidword Generation Model for E-commerce Search Advertising. 4299-4303 - Ankith Karat, Atishay Tibrewal, Nishka Kotian, Manan Dang, Ravindra Valluri, Antony Ravi Teja Marineni, Sarthak Sahni, Rhea Sundaresan, Ankit Kumar, Aditya Mehndiratta, Sunil Shah, Arun D. Poondi, Chandra Bhushan, Subhasis Panigrahi, Manish Gupta:
A System for Triggering Sports Instant Answers on Search Engines. 4304-4308 - Ali Hooshmand, Rupesh Gupta:
Defining & Optimizing Quality of LinkedIn's Content Search. 4309-4313 - Chen Luo, Dimitri Papadimitriou, Hariharan Muralidharan, Dhineshkumar Ramasubbu, Aakash Kolekar, Wenju Xu, Cong Xu, Anirudh Srinivasan, Mukesh Jain, Qi He:
Language Model Alignment for Conversational Shopping at Amazon. 4314-4318 - István Varga, Yuta Yamashita:
Inquiry Assistant Using LLM-Generated Knowledge Graphs. 4319-4323 - Lei Shen, Kang Zhao, Zhipeng Jin, Wen Tao, Yi Yang, Cong Han, Shuanglong Li, Zhongmin Cai, Lin Liu:
Retrieval-Augmented Image Captioning and Generation with Entity Concepts Enhancement for Baidu Multimodal Advertising. 4324-4328 - Junpeng Hou, Wei-Ting Lin, Arkin Dharawat, Jiaxing Qu, Qi Wang, Sai Xiao, Xianxing Zhang, Weiran Li:
Optimize Visual Shopping Journey with Embedding-based Retrieval in Pinterest Closeup. 4329-4334 - Jincheng Bai, Zhenyu Zhang, Jennifer Zhang, Jason Zhu:
Insight Agents: An LLM-Based Multi-Agent System for Data Insights. 4335-4339 - Sandra Garcia-Esparza, Victor Codina, Salma Lahbiss, Imène Sediri, Nafi Cissé:
Towards Improving Image Quality in Second-Hand Marketplaces with LLMs. 4340-4344 - Clark Mingxuan Ju, Leonardo Neves, Bhuvesh Kumar, Liam Collins, Tong Zhao, Yuwei Qiu, Qing Dou, Yang Zhou, Sohail Nizam, Rengim Aykan Ozturk, Yvette Liu, Sen Yang, Manish Malik, Neil Shah:
Learning Universal User Representations Leveraging Cross-domain User Intent at Snapchat. 4345-4349 - Adeep Hande, Kishorekumar Sundararajan, Sardar Hamidian, Ferhan Ture:
Content Moderation in TV Search: Balancing Policy Compliance, Relevance, and User Experience. 4350-4354 - Jingxu Xu, Xinyi Liu, Yang Yu, Semih Yagli, Jingbo Liu, Cun Mu:
Towards More Relevant Product Search Ranking with Fulfillment Intent Understanding. 4355-4359 - Mengyue Zhao, Matthew S. Nokleby, Bo Shen, Wenbo Dong, Deepti Pachauri, Andrew Yang:
Ontology-Guided Knowledge Graph Retrieval for Multi-Hop and Cross-Granularity Store Fulfillment Queries. 4360-4364 - Ajit Puthenputhussery, Changsung Kang, Alessandro Magnani, Tian Zhang, Hongwei Shang, Nitin Yadav, Prijith Chandran, Bhavin Madhani, Yuan-Tai Fu, He Wang, Zbigniew Gasiorek, Salvatore Tornatore, Srikanth Dasaka, Vivek Agrawal, Michael Bowersox, Cun Mu, Ciya Liao:
Large Scale Deployment of BERT Based Cross Encoder Model for Re-Ranking in Walmart Search Engine. 4365-4369 - Taoran Sheng, Sathappan Muthiah, Atiq Islam, Jinming Feng:
Progressive Refinement of E-commerce Search Ranking Based on Short-Term Activities of the Buyer. 4370-4374 - Phaniram Sayapaneni, Konstantin Shmakov, Sunil Goda:
Robust Inverse Retrieval in Online Advertising with Contrastive Learning. 4375-4379 - Zhen Gong, Zhifang Fan, Hui Lu, Qiwei Chen, Chenbin Zhang, Lin Guan, Yuchao Zheng, Feng Zhang, Xiao Yang, Zuotao Liu:
Pyramid Mixer: Multi-dimensional Multi-period Interest Modeling for Sequential Recommendation. 4380-4384 - Julia Belikova, Konstantin Polev, Rauf Parchiev, Dmitry Simakov:
Data-efficient Meta-models for Evaluation of Context-based Questions and Answers in LLMs. 4385-4389
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