default search action
Google
Google Scholar
Semantic Scholar
Internet Archive Scholar
CiteSeerX
ORCIDMaarten de Rijke
Person information
- affiliation: University of Amsterdam, Netherlands
Refine list
refinements active!
zoomed in on ?? of ?? records
view refined list in
export refined list as
showing all ?? records
2020 – today
- 2024
[j149]Shangsong Liang
, Zhou Pan, Wei Liu, Jian Yin, Maarten de Rijke:
A Survey on Variational Autoencoders in Recommender Systems. ACM Comput. Surv. 56(10): 268 (2024)- [j148]Sebastian Schelter, Stefan Grafberger, Maarten de Rijke:
Snapcase - Regain Control over Your Predictions with Low-Latency Machine Unlearning. Proc. VLDB Endow. 17(12): 4273-4276 (2024) - [j147]Leif Azzopardi, Charles L. A. Clarke, Paul B. Kantor, Bhaskar Mitra, Johanne R. Trippas, Zhaochun Ren, Mohammad Aliannejadi, Negar Arabzadeh, Raman Chandrasekar, Maarten de Rijke, Panagiotis Eustratiadis, William R. Hersh, Jin Huang, Evangelos Kanoulas, Jasmin Kareem, Yongkang Li, Simon Lupart, Kidist Amde Mekonnen, Adam Roegiest, Ian Soboroff, Fabrizio Silvestri, Suzan Verberne, David Vos, Eugene Yang, Yuyue Zhao:
Report on the Search Futures Workshop at ECIR 2024. SIGIR Forum 58(1): 1-41 (2024) - [j146]Songgaojun Deng, Olivier Sprangers, Ming Li, Sebastian Schelter, Maarten de Rijke:
Domain Generalization in Time Series Forecasting. ACM Trans. Knowl. Discov. Data 18(5): 113:1-113:24 (2024) - [j145]Weiwei Sun, Shuyu Guo, Shuo Zhang, Pengjie Ren, Zhumin Chen, Maarten de Rijke, Zhaochun Ren:
Metaphorical User Simulators for Evaluating Task-oriented Dialogue Systems. ACM Trans. Inf. Syst. 42(1): 17:1-17:29 (2024) - [j144]Clemencia Siro, Mohammad Aliannejadi, Maarten de Rijke:
Understanding and Predicting User Satisfaction with Conversational Recommender Systems. ACM Trans. Inf. Syst. 42(2): 55:1-55:37 (2024) - [j143]Yang Fang, Xiang Zhao, Weidong Xiao, Maarten de Rijke:
Few-shot Learning for Heterogeneous Information Networks. ACM Trans. Inf. Syst. 42(4): 107:1-107:24 (2024) - [j142]Yubao Tang, Ruqing Zhang, Jiafeng Guo, Maarten de Rijke, Wei Chen, Xueqi Cheng:
Listwise Generative Retrieval Models via a Sequential Learning Process. ACM Trans. Inf. Syst. 42(5): 133:1-133:31 (2024) - [j141]Romain Deffayet, Thibaut Thonet, Dongyoon Hwang, Vassilissa Lehoux, Jean-Michel Renders, Maarten de Rijke:
SARDINE: Simulator for Automated Recommendation in Dynamic and Interactive Environments. Trans. Recomm. Syst. 2(3): 25:1-25:34 (2024) - [c596]Yu-An Liu, Ruqing Zhang, Mingkun Zhang, Wei Chen, Maarten de Rijke, Jiafeng Guo, Xueqi Cheng:
Perturbation-Invariant Adversarial Training for Neural Ranking Models: Improving the Effectiveness-Robustness Trade-Off. AAAI 2024: 8832-8840 - [c595]Pengjie Ren, Chengshun Shi, Shiguang Wu, Mengqi Zhang, Zhaochun Ren, Maarten de Rijke, Zhumin Chen, Jiahuan Pei:
MELoRA: Mini-Ensemble Low-Rank Adapters for Parameter-Efficient Fine-Tuning. ACL (1) 2024: 3052-3064 - [c594]Yubao Tang, Ruqing Zhang, Jiafeng Guo, Maarten de Rijke, Yixing Fan, Xueqi Cheng:
Bootstrapped Pre-training with Dynamic Identifier Prediction for Generative Retrieval. ACL (Findings) 2024: 10303-10317 - [c593]Mohanna Hoveyda, Arjen P. de Vries, Faegheh Hasibi, Maarten de Rijke:
Real World Conversational Entity Linking Requires More Than Zero-Shots. ACL (Findings) 2024: 13938-13946 - [c592]Amin Abolghasemi, Zhaochun Ren, Arian Askari, Mohammad Aliannejadi, Maarten de Rijke, Suzan Verberne:
CAUSE: Counterfactual Assessment of User Satisfaction Estimation in Task-Oriented Dialogue Systems. ACL (Findings) 2024: 14623-14635 - [c591]Shashank Gupta, Harrie Oosterhuis, Maarten de Rijke:
Practical and Robust Safety Guarantees for Advanced Counterfactual Learning to Rank. CIKM 2024: 737-747 - [c590]Oliver Young, Yixing Fan, Ruqing Zhang, Jiafeng Guo, Maarten de Rijke, Xueqi Cheng:
GaQR: An Efficient Generation-augmented Question Rewriter. CIKM 2024: 4228-4232 - [c589]Clara Rus, Gabrielle Poerwawinata, Andrew Yates, Maarten de Rijke:
AnnoRank: A Comprehensive Web-Based Framework for Collecting Annotations and Assessing Rankings. CIKM 2024: 5400-5404 - [c588]Weijia Zhang, Vaishali Pal, Jia-Hong Huang, Evangelos Kanoulas, Maarten de Rijke:
QFMTS: Generating Query-Focused Summaries over Multi-Table Inputs. ECAI 2024: 3875-3882 - [c587]Amin Abolghasemi, Leif Azzopardi, Arian Askari, Maarten de Rijke, Suzan Verberne:
Measuring Bias in a Ranked List Using Term-Based Representations. ECIR (5) 2024: 3-19 - [c586]Yuanna Liu, Ming Li, Mozhdeh Ariannezhad, Masoud Mansoury, Mohammad Aliannejadi, Maarten de Rijke:
Measuring Item Fairness in Next Basket Recommendation: A Reproducibility Study. ECIR (4) 2024: 210-225 - [c585]Clara Rus, Andrew Yates, Maarten de Rijke:
A Study of Pre-processing Fairness Intervention Methods for Ranking People. ECIR (4) 2024: 336-350 - [c584]Yubao Tang, Ruqing Zhang, Zhaochun Ren, Jiafeng Guo, Maarten de Rijke:
Recent Advances in Generative Information Retrieval. ECIR (5) 2024: 363-368 - [c583]Thong Nguyen, Mariya Hendriksen, Andrew Yates, Maarten de Rijke:
Multimodal Learned Sparse Retrieval with Probabilistic Expansion Control. ECIR (2) 2024: 448-464 - [c582]Vaishali Pal, Evangelos Kanoulas, Andrew Yates, Maarten de Rijke:
Table Question Answering for Low-resourced Indic Languages. EMNLP 2024: 75-92 - [c581]Xinyi Chen, Baohao Liao, Jirui Qi, Panagiotis Eustratiadis, Christof Monz, Arianna Bisazza, Maarten de Rijke:
The SIFo Benchmark: Investigating the Sequential Instruction Following Ability of Large Language Models. EMNLP (Findings) 2024: 1691-1706 - [c580]Weichao Zhang, Ruqing Zhang, Jiafeng Guo, Maarten de Rijke, Yixing Fan, Xueqi Cheng:
Pretraining Data Detection for Large Language Models: A Divergence-based Calibration Method. EMNLP 2024: 5263-5274 - [c579]Yougang Lyu, Lingyong Yan, Shuaiqiang Wang, Haibo Shi, Dawei Yin, Pengjie Ren, Zhumin Chen, Maarten de Rijke, Zhaochun Ren:
KnowTuning: Knowledge-aware Fine-tuning for Large Language Models. EMNLP 2024: 14535-14556 - [c578]Barrie Kersbergen, Olivier Sprangers, Frank Kootte, Shubha Guha, Maarten de Rijke, Sebastian Schelter:
Etude - Evaluating the Inference Latency of Session-Based Recommendation Models at Scale. ICDE 2024: 5177-5183 - [c577]Pooya Khandel, Andrew Yates, Ana Lucia Varbanescu, Maarten de Rijke, Andy D. Pimentel:
Distillation vs. Sampling for Efficient Training of Learning to Rank Models. ICTIR 2024: 51-60 - [c576]Sen Li, Fuyu Lv, Ruqing Zhang, Dan Ou, Zhixuan Zhang, Maarten de Rijke:
Text Matching Indexers in Taobao Search. KDD 2024: 5339-5350 - [c575]Songgaojun Deng, Maarten de Rijke, Yue Ning:
Advances in Human Event Modeling: From Graph Neural Networks to Language Models. KDD 2024: 6459-6469 - [c574]Ziyi Ye, Jingtao Zhan, Qingyao Ai, Yiqun Liu, Maarten de Rijke, Christina Lioma, Tuukka Ruotsalo:
Query Augmentation with Brain Signals. ACM Multimedia 2024: 7561-7570 - [c573]Clemencia Siro, Mohammad Aliannejadi, Maarten de Rijke:
Context Does Matter: Implications for Crowdsourced Evaluation Labels in Task-Oriented Dialogue Systems. NAACL-HLT (Findings) 2024: 1258-1273 - [c572]Xiaoyu Zhang, Ruobing Xie, Yougang Lyu, Xin Xin, Pengjie Ren, Mingfei Liang, Bo Zhang, Zhanhui Kang, Maarten de Rijke, Zhaochun Ren:
Towards Empathetic Conversational Recommender Systems. RecSys 2024: 84-93 - [c571]Shashank Gupta, Olivier Jeunen, Harrie Oosterhuis, Maarten de Rijke:
Optimal Baseline Corrections for Off-Policy Contextual Bandits. RecSys 2024: 722-732 - [c570]Chuan Meng, Negar Arabzadeh, Arian Askari, Mohammad Aliannejadi, Maarten de Rijke:
Ranked List Truncation for Large Language Model-based Re-Ranking. SIGIR 2024: 141-151 - [c569]Jin Huang, Harrie Oosterhuis, Masoud Mansoury, Herke van Hoof, Maarten de Rijke:
Going Beyond Popularity and Positivity Bias: Correcting for Multifactorial Bias in Recommender Systems. SIGIR 2024: 416-426 - [c568]Thilina Chaturanga Rajapakse, Andrew Yates, Maarten de Rijke:
Negative Sampling Techniques for Dense Passage Retrieval in a Multilingual Setting. SIGIR 2024: 575-584 - [c567]Ming Li, Yuanna Liu, Sami Jullien, Mozhdeh Ariannezhad, Andrew Yates, Mohammad Aliannejadi, Maarten de Rijke:
Are We Really Achieving Better Beyond-Accuracy Performance in Next Basket Recommendation? SIGIR 2024: 924-934 - [c566]Yu-An Liu, Ruqing Zhang, Jiafeng Guo, Maarten de Rijke, Yixing Fan, Xueqi Cheng:
Multi-granular Adversarial Attacks against Black-box Neural Ranking Models. SIGIR 2024: 1391-1400 - [c565]Peibo Li, Maarten de Rijke, Hao Xue, Shuang Ao, Yang Song, Flora D. Salim:
Large Language Models for Next Point-of-Interest Recommendation. SIGIR 2024: 1463-1472 - [c564]Ali Vardasbi, Maarten de Rijke, Fernando Diaz, Mostafa Dehghani:
The Impact of Group Membership Bias on the Quality and Fairness of Exposure in Ranking. SIGIR 2024: 1514-1524 - [c563]Philipp Hager, Romain Deffayet, Jean-Michel Renders, Onno Zoeter, Maarten de Rijke:
Unbiased Learning to Rank Meets Reality: Lessons from Baidu's Large-Scale Search Dataset. SIGIR 2024: 1546-1556 - [c562]Yuyue Zhao, Jiancan Wu, Xiang Wang, Wei Tang, Dingxian Wang, Maarten de Rijke:
Let Me Do It For You: Towards LLM Empowered Recommendation via Tool Learning. SIGIR 2024: 1796-1806 - [c561]Shiguang Wu, Wenda Wei, Mengqi Zhang, Zhumin Chen, Jun Ma, Zhaochun Ren, Maarten de Rijke, Pengjie Ren:
Generative Retrieval as Multi-Vector Dense Retrieval. SIGIR 2024: 1828-1838 - [c560]Hengran Zhang, Ruqing Zhang, Jiafeng Guo, Maarten de Rijke, Yixing Fan, Xueqi Cheng:
Are Large Language Models Good at Utility Judgments? SIGIR 2024: 1941-1951 - [c559]Clemencia Siro, Mohammad Aliannejadi, Maarten de Rijke:
Rethinking the Evaluation of Dialogue Systems: Effects of User Feedback on Crowdworkers and LLMs. SIGIR 2024: 1952-1962 - [c558]Jingwei Kang, Maarten de Rijke, Harrie Oosterhuis:
Estimating the Hessian Matrix of Ranking Objectives for Stochastic Learning to Rank with Gradient Boosted Trees. SIGIR 2024: 2390-2394 - [c557]Yubao Tang, Ruqing Zhang, Zhaochun Ren, Jiafeng Guo, Maarten de Rijke:
Recent Advances in Generative Information Retrieval. SIGIR 2024: 3005-3008 - [c556]Yu-An Liu, Ruqing Zhang, Jiafeng Guo, Maarten de Rijke:
Robust Information Retrieval. SIGIR 2024: 3009-3012 - [c555]Bart Van den Hurk, Maarten de Rijke, Flora D. Salim:
MANILA24: SIGIR 2024 Workshop on Information Retrieval and Climate Impact. SIGIR 2024: 3044-3046 - [c554]Surya Kallumadi, Yubin Kim, Tracy Holloway King, Maarten de Rijke, Vamsi Salaka:
SIGIR 2024 Workshop on eCommerce (ECOM24). SIGIR 2024: 3055-3057 - [c553]Yubao Tang, Ruqing Zhang, Weiwei Sun, Jiafeng Guo, Maarten de Rijke:
Recent Advances in Generative Information Retrieval. WWW (Companion Volume) 2024: 1238-1241 - [c552]Yifei Yuan, Clemencia Siro, Mohammad Aliannejadi, Maarten de Rijke, Wai Lam:
Asking Multimodal Clarifying Questions in Mixed-Initiative Conversational Search. WWW 2024: 1474-1485 - [e17]Surya Kallumadi, Yubin Kim, Tracy Holloway King, Maarten de Rijke, Vamsi Salaka:
Proceedings of the ACM SIGIR Workshop on eCommerce 2024 co-located with the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR 2024), Washington D.C., USA, July 18, 2024. CEUR Workshop Proceedings 3843, CEUR-WS.org 2024 [contents] - [i231]Yifei Yuan, Clemencia Siro, Mohammad Aliannejadi, Maarten de Rijke, Wai Lam:
Asking Multimodal Clarifying Questions in Mixed-Initiative Conversational Search. CoRR abs/2402.07742 (2024) - [i230]Yougang Lyu, Lingyong Yan, Shuaiqiang Wang, Haibo Shi, Dawei Yin, Pengjie Ren, Zhumin Chen, Maarten de Rijke, Zhaochun Ren:
KnowTuning: Knowledge-aware Fine-tuning for Large Language Models. CoRR abs/2402.11176 (2024) - [i229]Ziyi Ye, Jingtao Zhan, Qingyao Ai, Yiqun Liu, Maarten de Rijke, Christina Lioma, Tuukka Ruotsalo:
Query Augmentation by Decoding Semantics from Brain Signals. CoRR abs/2402.15708 (2024) - [i228]Jiafeng Guo, Changjiang Zhou, Ruqing Zhang, Jiangui Chen, Maarten de Rijke, Yixing Fan, Xueqi Cheng:
CorpusBrain++: A Continual Generative Pre-Training Framework for Knowledge-Intensive Language Tasks. CoRR abs/2402.16767 (2024) - [i227]Pengjie Ren, Chengshun Shi, Shiguang Wu, Mengqi Zhang, Zhaochun Ren, Maarten de Rijke, Zhumin Chen, Jiahuan Pei:
Mini-Ensemble Low-Rank Adapters for Parameter-Efficient Fine-Tuning. CoRR abs/2402.17263 (2024) - [i226]Maurits J. R. Bleeker, Mariya Hendriksen, Andrew Yates, Maarten de Rijke:
Demonstrating and Reducing Shortcuts in Vision-Language Representation Learning. CoRR abs/2402.17510 (2024) - [i225]Thong Nguyen, Mariya Hendriksen, Andrew Yates, Maarten de Rijke:
Multimodal Learned Sparse Retrieval with Probabilistic Expansion Control. CoRR abs/2402.17535 (2024) - [i224]Amin Abolghasemi, Leif Azzopardi, Arian Askari, Maarten de Rijke, Suzan Verberne:
Measuring Bias in a Ranked List using Term-based Representations. CoRR abs/2403.05975 (2024) - [i223]Yubao Tang, Ruqing Zhang, Jiafeng Guo, Maarten de Rijke, Wei Chen, Xueqi Cheng:
Listwise Generative Retrieval Models via a Sequential Learning Process. CoRR abs/2403.12499 (2024) - [i222]Maria Heuss, Maarten de Rijke, Avishek Anand:
RankingSHAP - Listwise Feature Attribution Explanations for Ranking Models. CoRR abs/2403.16085 (2024) - [i221]Amin Abolghasemi, Zhaochun Ren, Arian Askari, Mohammad Aliannejadi, Maarten de Rijke, Suzan Verberne:
CAUSE: Counterfactual Assessment of User Satisfaction Estimation in Task-Oriented Dialogue Systems. CoRR abs/2403.19056 (2024) - [i220]Hengran Zhang, Ruqing Zhang, Jiafeng Guo, Maarten de Rijke, Yixing Fan, Xueqi Cheng:
Are Large Language Models Good at Utility Judgments? CoRR abs/2403.19216 (2024) - [i219]Shiguang Wu, Wenda Wei, Mengqi Zhang, Zhumin Chen, Jun Ma, Zhaochun Ren, Maarten de Rijke, Pengjie Ren:
Generative Retrieval as Multi-Vector Dense Retrieval. CoRR abs/2404.00684 (2024) - [i218]Chuan Meng, Negar Arabzadeh, Arian Askari, Mohammad Aliannejadi, Maarten de Rijke:
Query Performance Prediction using Relevance Judgments Generated by Large Language Models. CoRR abs/2404.01012 (2024) - [i217]Yu-An Liu, Ruqing Zhang, Jiafeng Guo, Maarten de Rijke, Yixing Fan, Xueqi Cheng:
Multi-granular Adversarial Attacks against Black-box Neural Ranking Models. CoRR abs/2404.01574 (2024) - [i216]Philipp Hager, Romain Deffayet, Jean-Michel Renders, Onno Zoeter, Maarten de Rijke:
Unbiased Learning to Rank Meets Reality: Lessons from Baidu's Large-Scale Search Dataset. CoRR abs/2404.02543 (2024) - [i215]Clemencia Siro, Mohammad Aliannejadi, Maarten de Rijke:
Context Does Matter: Implications for Crowdsourced Evaluation Labels in Task-Oriented Dialogue Systems. CoRR abs/2404.09980 (2024) - [i214]Jingwei Kang, Maarten de Rijke, Harrie Oosterhuis:
Estimating the Hessian Matrix of Ranking Objectives for Stochastic Learning to Rank with Gradient Boosted Trees. CoRR abs/2404.12190 (2024) - [i213]Clemencia Siro, Mohammad Aliannejadi, Maarten de Rijke:
Rethinking the Evaluation of Dialogue Systems: Effects of User Feedback on Crowdworkers and LLMs. CoRR abs/2404.12994 (2024) - [i212]Wenhao Zhang, Mengqi Zhang, Shiguang Wu, Jiahuan Pei, Zhaochun Ren, Maarten de Rijke, Zhumin Chen, Pengjie Ren:
ExcluIR: Exclusionary Neural Information Retrieval. CoRR abs/2404.17288 (2024) - [i211]Peibo Li, Maarten de Rijke, Hao Xue, Shuang Ao, Yang Song, Flora D. Salim:
Large Language Models for Next Point-of-Interest Recommendation. CoRR abs/2404.17591 (2024) - [i210]Chuan Meng, Negar Arabzadeh, Arian Askari, Mohammad Aliannejadi, Maarten de Rijke:
Ranked List Truncation for Large Language Model-based Re-Ranking. CoRR abs/2404.18185 (2024) - [i209]Jin Huang, Harrie Oosterhuis, Masoud Mansoury, Herke van Hoof, Maarten de Rijke:
Going Beyond Popularity and Positivity Bias: Correcting for Multifactorial Bias in Recommender Systems. CoRR abs/2404.18640 (2024) - [i208]Shashank Gupta, Harrie Oosterhuis, Maarten de Rijke:
A First Look at Selection Bias in Preference Elicitation for Recommendation. CoRR abs/2405.00554 (2024) - [i207]Ming Li, Yuanna Liu, Sami Jullien, Mozhdeh Ariannezhad, Mohammad Aliannejadi, Andrew Yates, Maarten de Rijke:
Are We Really Achieving Better Beyond-Accuracy Performance in Next Basket Recommendation? CoRR abs/2405.01143 (2024) - [i206]Weijia Zhang, Vaishali Pal, Jia-Hong Huang, Evangelos Kanoulas, Maarten de Rijke:
QFMTS: Generating Query-Focused Summaries over Multi-Table Inputs. CoRR abs/2405.05109 (2024) - [i205]Shashank Gupta, Olivier Jeunen, Harrie Oosterhuis, Maarten de Rijke:
Optimal Baseline Corrections for Off-Policy Contextual Bandits. CoRR abs/2405.05736 (2024) - [i204]Yuyue Zhao, Jiancan Wu, Xiang Wang, Wei Tang, Dingxian Wang, Maarten de Rijke:
Let Me Do It For You: Towards LLM Empowered Recommendation via Tool Learning. CoRR abs/2405.15114 (2024) - [i203]Yu-An Liu, Ruqing Zhang, Jiafeng Guo, Maarten de Rijke:
Robust Information Retrieval. CoRR abs/2406.08891 (2024) - [i202]Xinyi Chen, Baohao Liao, Jirui Qi, Panagiotis Eustratiadis, Christof Monz, Arianna Bisazza, Maarten de Rijke:
The SIFo Benchmark: Investigating the Sequential Instruction Following Ability of Large Language Models. CoRR abs/2406.19999 (2024) - [i201]Yu-An Liu, Ruqing Zhang, Jiafeng Guo, Maarten de Rijke, Yixing Fan, Xueqi Cheng:
Robust Neural Information Retrieval: An Adversarial and Out-of-distribution Perspective. CoRR abs/2407.06992 (2024) - [i200]Yubao Tang, Ruqing Zhang, Jiafeng Guo, Maarten de Rijke, Yixing Fan, Xueqi Cheng:
Bootstrapped Pre-training with Dynamic Identifier Prediction for Generative Retrieval. CoRR abs/2407.11504 (2024) - [i199]Mariya Hendriksen, Shuo Zhang, Ridho Reinanda, Mohamed Yahya, Edgar Meij, Maarten de Rijke:
Assessing Brittleness of Image-Text Retrieval Benchmarks from Vision-Language Models Perspective. CoRR abs/2407.15239 (2024) - [i198]Shashank Gupta, Harrie Oosterhuis, Maarten de Rijke:
Practical and Robust Safety Guarantees for Advanced Counterfactual Learning to Rank. CoRR abs/2407.19943 (2024) - [i197]Mohanna Hoveyda, Arjen P. de Vries, Maarten de Rijke, Faegheh Hasibi:
Real World Conversational Entity Linking Requires More Than Zeroshots. CoRR abs/2409.01152 (2024) - [i196]Shashank Gupta, Harrie Oosterhuis, Maarten de Rijke:
Proximal Ranking Policy Optimization for Practical Safety in Counterfactual Learning to Rank. CoRR abs/2409.09881 (2024) - [i195]Xiaoyu Zhang, Ruobing Xie, Yougang Lyu, Xin Xin, Pengjie Ren, Mingfei Liang, Bo Zhang, Zhanhui Kang, Maarten de Rijke, Zhaochun Ren:
Towards Empathetic Conversational Recommender Systems. CoRR abs/2409.10527 (2024) - [i194]Mohanna Hoveyda, Arjen P. de Vries, Maarten de Rijke, Harrie Oosterhuis, Faegheh Hasibi:
AQA: Adaptive Question Answering in a Society of LLMs via Contextual Multi-Armed Bandit. CoRR abs/2409.13447 (2024) - [i193]Weichao Zhang, Ruqing Zhang, Jiafeng Guo, Maarten de Rijke, Yixing Fan, Xueqi Cheng:
Pretraining Data Detection for Large Language Models: A Divergence-based Calibration Method. CoRR abs/2409.14781 (2024) - [i192]Yubao Tang, Ruqing Zhang, Jiafeng Guo, Maarten de Rijke, Wei Chen, Xueqi Cheng:
Generative Retrieval Meets Multi-Graded Relevance. CoRR abs/2409.18409 (2024) - [i191]Yougang Lyu, Xiaoyu Zhang, Zhaochun Ren, Maarten de Rijke:
Cognitive Biases in Large Language Models for News Recommendation. CoRR abs/2410.02897 (2024) - [i190]Vaishali Pal, Evangelos Kanoulas, Andrew Yates, Maarten de Rijke:
Table Question Answering for Low-resourced Indic Languages. CoRR abs/2410.03576 (2024) - [i189]Zhaochun Ren, Xiangnan He, Dawei Yin, Maarten de Rijke:
Information Discovery in e-Commerce. CoRR abs/2410.05763 (2024) - [i188]Yougang Lyu, Lingyong Yan, Zihan Wang, Dawei Yin, Pengjie Ren, Maarten de Rijke, Zhaochun Ren:
MACPO: Weak-to-Strong Alignment via Multi-Agent Contrastive Preference Optimization. CoRR abs/2410.07672 (2024) - [i187]Amin Abolghasemi, Leif Azzopardi, Seyyed Hadi Hashemi, Maarten de Rijke, Suzan Verberne:
Evaluation of Attribution Bias in Retrieval-Augmented Large Language Models. CoRR abs/2410.12380 (2024) - [i186]Clemencia Siro, Yifei Yuan, Mohammad Aliannejadi, Maarten de Rijke:
AGENT-CQ: Automatic Generation and Evaluation of Clarifying Questions for Conversational Search with LLMs. CoRR abs/2410.19692 (2024) - 2023
- [j140]Wenchao Sun, Muyang Ma, Pengjie Ren, Yujie Lin, Zhumin Chen, Zhaochun Ren, Jun Ma, Maarten de Rijke:
Parallel Split-Join Networks for Shared Account Cross-Domain Sequential Recommendations. IEEE Trans. Knowl. Data Eng. 35(4): 4106-4123 (2023) - [j139]Yang Fang, Xiang Zhao, Yifan Chen, Weidong Xiao, Maarten de Rijke:
$\mathsf{PF\text{-}HIN}$:Pre-Training for Heterogeneous Information Networks. IEEE Trans. Knowl. Data Eng. 35(8): 8372-8385 (2023) - [j138]Maurits J. R. Bleeker, Andrew Yates, Maarten de Rijke:
Reducing Predictive Feature Suppression in Resource-Constrained Contrastive Image-Caption Retrieval. Trans. Mach. Learn. Res. 2023 (2023) - [j137]Sami Jullien, Mozhdeh Ariannezhad, Paul Groth, Maarten de Rijke:
A Simulation Environment and Reinforcement Learning Method for Waste Reduction. Trans. Mach. Learn. Res. 2023 (2023) - [j136]Yanxiang Ling, Fei Cai, Jun Liu, Honghui Chen, Maarten de Rijke:
Keep and Select: Improving Hierarchical Context Modeling for Multi-Turn Response Generation. IEEE Trans. Neural Networks Learn. Syst. 34(7): 3636-3649 (2023) - [j135]Yanxiang Ling, Fei Cai, Jun Liu, Honghui Chen, Maarten de Rijke:
Generating Relevant and Informative Questions for Open-Domain Conversations. ACM Trans. Inf. Syst. 41(1): 2:1-2:30 (2023) - [j134]Muyang Ma, Pengjie Ren, Zhumin Chen, Zhaochun Ren, Huasheng Liang, Jun Ma, Maarten de Rijke:
Improving Transformer-based Sequential Recommenders through Preference Editing. ACM Trans. Inf. Syst. 41(3): 71:1-71:24 (2023) - [j133]