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ORCIDJi-Rong Wen
Jirong Wen – 文继荣
Person information
- affiliation: Renmin University of China, Beijing, China
- affiliation (former): Microsoft Research
- unicode name: 文继荣
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2020 – today
- 2025
[j127]Yake Wei
, Di Hu, Henghui Du, Ji-Rong Wen:
On-the-Fly Modulation for Balanced Multimodal Learning. IEEE Trans. Pattern Anal. Mach. Intell. 47(1): 469-485 (2025)- [j126]Zhaoheng Huang, Yutao Zhu, Zhicheng Dou, Ji-Rong Wen:
CAGS: Context-Aware Document Ranking With Contrastive Graph Sampling. IEEE Trans. Knowl. Data Eng. 37(1): 89-101 (2025) - 2024
- [j125]Junyi Li, Tianyi Tang, Wayne Xin Zhao, Jian-Yun Nie, Ji-Rong Wen:
Pre-Trained Language Models for Text Generation: A Survey. ACM Comput. Surv. 56(9): 230:1-230:39 (2024) - [j124]Zhe Yuan, Zhewei Wei, Fangrui Lv, Ji-Rong Wen:
Index-free triangle-based graph local clustering. Frontiers Comput. Sci. 18(3): 183404 (2024) - [j123]Lei Wang, Chen Ma, Xueyang Feng, Zeyu Zhang, Hao Yang, Jingsen Zhang, Zhiyuan Chen, Jiakai Tang, Xu Chen, Yankai Lin, Wayne Xin Zhao, Zhewei Wei, Jirong Wen:
A survey on large language model based autonomous agents. Frontiers Comput. Sci. 18(6): 186345 (2024) - [j122]Jiongnan Liu, Zhicheng Dou, Jian-Yun Nie, Ji-Rong Wen:
Integrated Personalized and Diversified Search Based on Search Logs. IEEE Trans. Knowl. Data Eng. 36(2): 694-707 (2024) - [j121]Zhongxiang Sun, Weijie Yu, Zihua Si, Jun Xu, Zhenhua Dong, Xu Chen, Hongteng Xu, Ji-Rong Wen:
Explainable Legal Case Matching via Graph Optimal Transport. IEEE Trans. Knowl. Data Eng. 36(6): 2461-2475 (2024) - [j120]Mingji Yang, Hanzhi Wang, Zhewei Wei, Sibo Wang, Ji-Rong Wen:
Efficient Algorithms for Personalized PageRank Computation: A Survey. IEEE Trans. Knowl. Data Eng. 36(9): 4582-4602 (2024) - [j119]Yujia Zhou, Jing Yao, Ledell Wu, Zhicheng Dou, Ji-Rong Wen:
WebUltron: An Ultimate Retriever on Webpages Under the Model-Centric Paradigm. IEEE Trans. Knowl. Data Eng. 36(9): 4996-5006 (2024) - [j118]Haonan Chen, Zhicheng Dou, Yutao Zhu, Ji-Rong Wen:
Query-Oriented Data Augmentation for Session Search. IEEE Trans. Knowl. Data Eng. 36(11): 6877-6888 (2024) - [j117]Xiao Zhang, Teng Shi, Jun Xu, Zhenhua Dong, Ji-Rong Wen:
Model-Agnostic Causal Embedding Learning for Counterfactually Group-Fair Recommendation. IEEE Trans. Knowl. Data Eng. 36(12): 8801-8813 (2024) - [j116]Chen Xu, Jun Xu, Zhenhua Dong, Ji-Rong Wen:
Syntactic-Informed Graph Networks for Sentence Matching. ACM Trans. Inf. Syst. 42(2): 38:1-38:29 (2024) - [j115]Lang Mei, Jiaxin Mao, Juan Hu, Naiqiang Tan, Hua Chai, Ji-Rong Wen:
Improving First-stage Retrieval of Point-of-interest Search by Pre-training Models. ACM Trans. Inf. Syst. 42(3): 74:1-74:27 (2024) - [j114]Shuting Wang, Zhicheng Dou, Jiongnan Liu, Qiannan Zhu, Ji-Rong Wen:
Personalized and Diversified: Ranking Search Results in an Integrated Way. ACM Trans. Inf. Syst. 42(3): 81:1-81:25 (2024) - [j113]Wayne Xin Zhao, Jing Liu, Ruiyang Ren, Ji-Rong Wen:
Dense Text Retrieval Based on Pretrained Language Models: A Survey. ACM Trans. Inf. Syst. 42(4): 89:1-89:60 (2024) - [j112]Yutong Bai, Yujia Zhou, Zhicheng Dou, Ji-Rong Wen:
Intent-Oriented Dynamic Interest Modeling for Personalized Web Search. ACM Trans. Inf. Syst. 42(4): 96:1-96:30 (2024) - [j111]Qi Liu, Gang Guo, Jiaxin Mao, Zhicheng Dou, Ji-Rong Wen, Hao Jiang, Xinyu Zhang, Zhao Cao:
An Analysis on Matching Mechanisms and Token Pruning for Late-interaction Models. ACM Trans. Inf. Syst. 42(5): 118:1-118:28 (2024) - [j110]Zhirui Deng, Zhicheng Dou, Zhan Su, Ji-Rong Wen:
Multi-grained Document Modeling for Search Result Diversification. ACM Trans. Inf. Syst. 42(5): 126:1-126:22 (2024) - [j109]Zhan Su, Zhicheng Dou, Yutao Zhu, Ji-Rong Wen:
Passage-aware Search Result Diversification. ACM Trans. Inf. Syst. 42(5): 136:1-136:29 (2024) - [j108]Yujia Zhou, Jing Yao, Zhicheng Dou, Yiteng Tu, Ledell Wu, Tat-Seng Chua, Ji-Rong Wen:
ROGER: Ranking-Oriented Generative Retrieval. ACM Trans. Inf. Syst. 42(6): 155:1-155:25 (2024) - [c345]Zhuocheng Gong, Yang Song, Tao Zhang, Ji-Rong Wen, Dongyan Zhao, Rui Yan:
Your Career Path Matters in Person-Job Fit. AAAI 2024: 8427-8435 - [c344]Peiyu Liu, Ze-Feng Gao, Xin Zhao, Yipeng Ma, Tao Wang, Ji-Rong Wen:
Unlocking Data-free Low-bit Quantization with Matrix Decomposition for KV Cache Compression. ACL (1) 2024: 2430-2440 - [c343]Yutao Zhu, Peitian Zhang, Chenghao Zhang, Yifei Chen, Binyu Xie, Zheng Liu, Ji-Rong Wen, Zhicheng Dou:
INTERS: Unlocking the Power of Large Language Models in Search with Instruction Tuning. ACL (1) 2024: 2782-2809 - [c342]Zhiwei Li, Ran Song, Caihong Sun, Wei Xu, Zhengtao Yu, Ji-Rong Wen:
Can Large Language Models Mine Interpretable Financial Factors More Effectively? A Neural-Symbolic Factor Mining Agent Model. ACL (Findings) 2024: 3891-3902 - [c341]Jiejun Tan, Zhicheng Dou, Yutao Zhu, Peidong Guo, Kun Fang, Ji-Rong Wen:
Small Models, Big Insights: Leveraging Slim Proxy Models To Decide When and What to Retrieve for LLMs. ACL (1) 2024: 4420-4436 - [c340]Zhipeng Chen, Kun Zhou, Xin Zhao, Junchen Wan, Fuzheng Zhang, Di Zhang, Ji-Rong Wen:
Improving Large Language Models via Fine-grained Reinforcement Learning with Minimum Editing Constraint. ACL (Findings) 2024: 5694-5711 - [c339]Tianyi Tang, Wenyang Luo, Haoyang Huang, Dongdong Zhang, Xiaolei Wang, Xin Zhao, Furu Wei, Ji-Rong Wen:
Language-Specific Neurons: The Key to Multilingual Capabilities in Large Language Models. ACL (1) 2024: 5701-5715 - [c338]Changyu Chen, Xiting Wang, Ting-En Lin, Ang Lv, Yuchuan Wu, Xin Gao, Ji-Rong Wen, Rui Yan, Yongbin Li:
Masked Thought: Simply Masking Partial Reasoning Steps Can Improve Mathematical Reasoning Learning of Language Models. ACL (1) 2024: 5872-5900 - [c337]Sunhao Dai, Weihao Liu, Yuqi Zhou, Liang Pang, Rongju Ruan, Gang Wang, Zhenhua Dong, Jun Xu, Ji-Rong Wen:
Cocktail: A Comprehensive Information Retrieval Benchmark with LLM-Generated Documents Integration. ACL (Findings) 2024: 7052-7074 - [c336]Hongda Sun, Weikai Xu, Wei Liu, Jian Luan, Bin Wang, Shuo Shang, Ji-Rong Wen, Rui Yan:
DetermLR: Augmenting LLM-based Logical Reasoning from Indeterminacy to Determinacy. ACL (1) 2024: 9828-9862 - [c335]Junyi Li, Jie Chen, Ruiyang Ren, Xiaoxue Cheng, Xin Zhao, Jian-Yun Nie, Ji-Rong Wen:
The Dawn After the Dark: An Empirical Study on Factuality Hallucination in Large Language Models. ACL (1) 2024: 10879-10899 - [c334]Changle Qu, Sunhao Dai, Xiaochi Wei, Hengyi Cai, Shuaiqiang Wang, Dawei Yin, Jun Xu, Ji-Rong Wen:
Towards Completeness-Oriented Tool Retrieval for Large Language Models. CIKM 2024: 1930-1940 - [c333]Zican Dong, Tianyi Tang, Junyi Li, Wayne Xin Zhao, Ji-Rong Wen:
BAMBOO: A Comprehensive Benchmark for Evaluating Long Text Modeling Capacities of Large Language Models. LREC/COLING 2024: 2086-2099 - [c332]Xiaoxue Cheng, Junyi Li, Wayne Xin Zhao, Ji-Rong Wen:
ChainLM: Empowering Large Language Models with Improved Chain-of-Thought Prompting. LREC/COLING 2024: 2969-2983 - [c331]Peiyu Liu, Zikang Liu, Ze-Feng Gao, Dawei Gao, Wayne Xin Zhao, Yaliang Li, Bolin Ding, Ji-Rong Wen:
Do Emergent Abilities Exist in Quantized Large Language Models: An Empirical Study. LREC/COLING 2024: 5174-5190 - [c330]Peiyu Liu, Ze-Feng Gao, Xiao Zhang, Wayne Xin Zhao, Ji-Rong Wen:
Enhancing Parameter-efficient Fine-tuning with Simple Calibration Based on Stable Rank. LREC/COLING 2024: 6024-6035 - [c329]Wenyi Mo, Tianyu Zhang, Yalong Bai, Bing Su, Ji-Rong Wen, Qing Yang:
Dynamic Prompt Optimizing for Text-to-Image Generation. CVPR 2024: 26617-26626 - [c328]Kun Zhou, Yifan Li, Xin Zhao, Ji-Rong Wen:
Diffusion-NAT: Self-Prompting Discrete Diffusion for Non-Autoregressive Text Generation. EACL (1) 2024: 1438-1451 - [c327]Yifan Li, Hangyu Guo, Kun Zhou, Wayne Xin Zhao, Ji-Rong Wen:
Images are Achilles' Heel of Alignment: Exploiting Visual Vulnerabilities for Jailbreaking Multimodal Large Language Models. ECCV (73) 2024: 174-189 - [c326]Ruiyang Ren, Peng Qiu, Yingqi Qu, Jing Liu, Xin Zhao, Hua Wu, Ji-Rong Wen, Haifeng Wang:
BASES: Large-scale Web Search User Simulation with Large Language Model based Agents. EMNLP (Findings) 2024: 902-917 - [c325]Xueyang Feng, Zhiyuan Chen, Yujia Qin, Yankai Lin, Xu Chen, Zhiyuan Liu, Ji-Rong Wen:
Large Language Model-based Human-Agent Collaboration for Complex Task Solving. EMNLP (Findings) 2024: 1336-1357 - [c324]Yutong Bai, Zhicheng Dou, Ji-Rong Wen:
Learning Dynamic Multi-attribute Interest for Personalized Product Search. EMNLP (Findings) 2024: 2984-2993 - [c323]Yuhao Wang, Ruiyang Ren, Junyi Li, Xin Zhao, Jing Liu, Ji-Rong Wen:
REAR: A Relevance-Aware Retrieval-Augmented Framework for Open-Domain Question Answering. EMNLP 2024: 5613-5626 - [c322]Junjie Zhang, Ruobing Xie, Wenqi Sun, Leyu Lin, Xin Zhao, Ji-Rong Wen:
AuriSRec: Adversarial User Intention Learning in Sequential Recommendation. EMNLP (Findings) 2024: 12580-12592 - [c321]Ang Lv, Kaiyi Zhang, Shufang Xie, Quan Tu, Yuhan Chen, Ji-Rong Wen, Rui Yan:
An Analysis and Mitigation of the Reversal Curse. EMNLP 2024: 13603-13615 - [c320]Xiaoxue Cheng, Junyi Li, Xin Zhao, Hongzhi Zhang, Fuzheng Zhang, Di Zhang, Kun Gai, Ji-Rong Wen:
Small Agent Can Also Rock! Empowering Small Language Models as Hallucination Detector. EMNLP 2024: 14600-14615 - [c319]Jie Chen, Yupeng Zhang, Bingning Wang, Xin Zhao, Ji-Rong Wen, Weipeng Chen:
Unveiling the Flaws: Exploring Imperfections in Synthetic Data and Mitigation Strategies for Large Language Models. EMNLP (Findings) 2024: 14855-14865 - [c318]Zhipeng Chen, Kun Zhou, Xin Zhao, Jingyuan Wang, Ji-Rong Wen:
Not Everything is All You Need: Toward Low-Redundant Optimization for Large Language Model Alignment. EMNLP 2024: 15337-15351 - [c317]Sunhao Dai, Ninglu Shao, Jieming Zhu, Xiao Zhang, Zhenhua Dong, Jun Xu, Quanyu Dai, Ji-Rong Wen:
Modeling User Attention in Music Recommendation. ICDE 2024: 761-774 - [c316]Bowen Zheng, Yupeng Hou, Hongyu Lu, Yu Chen, Wayne Xin Zhao, Ming Chen, Ji-Rong Wen:
Adapting Large Language Models by Integrating Collaborative Semantics for Recommendation. ICDE 2024: 1435-1448 - [c315]Lang Mei, Jiaxin Mao, Ji-Rong Wen:
Optimizing Probabilistic Box Embeddings with Distance Measures. ICDE 2024: 5088-5100 - [c314]Zhewei Wei, Ji-Rong Wen, Mingji Yang:
Approximating Single-Source Personalized PageRank with Absolute Error Guarantees. ICDT 2024: 9:1-9:19 - [c313]Geyang Guo, Ranchi Zhao, Tianyi Tang, Xin Zhao, Ji-Rong Wen:
Beyond Imitation: Leveraging Fine-grained Quality Signals for Alignment. ICLR 2024 - [c312]Jinxia Yang, Bing Su, Xin Zhao, Ji-Rong Wen:
Unlocking the Power of Spatial and Temporal Information in Medical Multimodal Pre-training. ICML 2024 - [c311]Zhen Tian, Yuhong Shi, Xiangkun Wu, Wayne Xin Zhao, Ji-Rong Wen:
Rotative Factorization Machines. KDD 2024: 2912-2923 - [c310]Haiyuan Zhao, Guohao Cai, Jieming Zhu, Zhenhua Dong, Jun Xu, Ji-Rong Wen:
Counteracting Duration Bias in Video Recommendation via Counterfactual Watch Time. KDD 2024: 4455-4466 - [c309]Gaowei Zhang, Yupeng Hou, Hongyu Lu, Yu Chen, Wayne Xin Zhao, Ji-Rong Wen:
Scaling Law of Large Sequential Recommendation Models. RecSys 2024: 444-453 - [c308]Lanling Xu, Zihan Lin, Jinpeng Wang, Sheng Chen, Wayne Xin Zhao, Ji-Rong Wen:
Promoting Two-sided Fairness with Adaptive Weights for Providers and Customers in Recommendation. RecSys 2024: 918-923 - [c307]Zhen Tian, Wayne Xin Zhao, Changwang Zhang, Xin Zhao, Zhongrui Ma, Ji-Rong Wen:
EulerFormer: Sequential User Behavior Modeling with Complex Vector Attention. SIGIR 2024: 1619-1628 - [c306]An Zhang, Yang Deng, Yankai Lin, Xu Chen, Ji-Rong Wen, Tat-Seng Chua:
Large Language Model Powered Agents for Information Retrieval. SIGIR 2024: 2989-2992 - [c305]Hanzhi Wang, Zhewei Wei, Ji-Rong Wen, Mingji Yang:
Revisiting Local Computation of PageRank: Simple and Optimal. STOC 2024: 911-922 - [c304]Zhirui Deng, Zhicheng Dou, Yutao Zhu, Ji-Rong Wen:
CL4DIV: A Contrastive Learning Framework for Search Result Diversification. WSDM 2024: 171-180 - [c303]Yang Deng, An Zhang, Yankai Lin, Xu Chen, Ji-Rong Wen, Tat-Seng Chua:
Large Language Model Powered Agents in the Web. WWW (Companion Volume) 2024: 1242-1245 - [c302]Junjie Zhang, Yupeng Hou, Ruobing Xie, Wenqi Sun, Julian J. McAuley, Wayne Xin Zhao, Leyu Lin, Ji-Rong Wen:
AgentCF: Collaborative Learning with Autonomous Language Agents for Recommender Systems. WWW 2024: 3679-3689 - [i248]Jinhao Jiang, Kun Zhou, Wayne Xin Zhao, Yaliang Li, Ji-Rong Wen:
ReasoningLM: Enabling Structural Subgraph Reasoning in Pre-trained Language Models for Question Answering over Knowledge Graph. CoRR abs/2401.00158 (2024) - [i247]Wenqi Sun, Ruobing Xie, Junjie Zhang, Wayne Xin Zhao, Leyu Lin, Ji-Rong Wen:
Distillation is All You Need for Practically Using Different Pre-trained Recommendation Models. CoRR abs/2401.00797 (2024) - [i246]Zhewei Wei, Ji-Rong Wen, Mingji Yang:
Approximating Single-Source Personalized PageRank with Absolute Error Guarantees. CoRR abs/2401.01019 (2024) - [i245]Junyi Li, Jie Chen, Ruiyang Ren, Xiaoxue Cheng, Wayne Xin Zhao, Jian-Yun Nie, Ji-Rong Wen:
The Dawn After the Dark: An Empirical Study on Factuality Hallucination in Large Language Models. CoRR abs/2401.03205 (2024) - [i244]Lanling Xu, Junjie Zhang, Bingqian Li, Jinpeng Wang, Mingchen Cai, Wayne Xin Zhao, Ji-Rong Wen:
Prompting Large Language Models for Recommender Systems: A Comprehensive Framework and Empirical Analysis. CoRR abs/2401.04997 (2024) - [i243]Zhipeng Chen, Kun Zhou, Wayne Xin Zhao, Junchen Wan, Fuzheng Zhang, Di Zhang, Ji-Rong Wen:
Improving Large Language Models via Fine-grained Reinforcement Learning with Minimum Editing Constraint. CoRR abs/2401.06081 (2024) - [i242]Yutao Zhu, Peitian Zhang, Chenghao Zhang, Yifei Chen, Binyu Xie, Zhicheng Dou, Zheng Liu, Ji-Rong Wen:
INTERS: Unlocking the Power of Large Language Models in Search with Instruction Tuning. CoRR abs/2401.06532 (2024) - [i241]Jinhao Jiang, Kun Zhou, Wayne Xin Zhao, Yang Song, Chen Zhu, Hengshu Zhu, Ji-Rong Wen:
KG-Agent: An Efficient Autonomous Agent Framework for Complex Reasoning over Knowledge Graph. CoRR abs/2402.11163 (2024) - [i240]Jiejun Tan, Zhicheng Dou, Yutao Zhu, Peidong Guo, Kun Fang, Ji-Rong Wen:
Small Models, Big Insights: Leveraging Slim Proxy Models To Decide When and What to Retrieve for LLMs. CoRR abs/2402.12052 (2024) - [i239]Xueyang Feng, Zhiyuan Chen, Yujia Qin, Yankai Lin, Xu Chen, Zhiyuan Liu, Ji-Rong Wen:
Large Language Model-based Human-Agent Collaboration for Complex Task Solving. CoRR abs/2402.12914 (2024) - [i238]Zhaoheng Huang, Zhicheng Dou, Yutao Zhu, Ji-Rong Wen:
UFO: a Unified and Flexible Framework for Evaluating Factuality of Large Language Models. CoRR abs/2402.14690 (2024) - [i237]Tianyi Tang, Wenyang Luo, Haoyang Huang, Dongdong Zhang, Xiaolei Wang, Xin Zhao, Furu Wei, Ji-Rong Wen:
Language-Specific Neurons: The Key to Multilingual Capabilities in Large Language Models. CoRR abs/2402.16438 (2024) - [i236]Yuhao Wang, Ruiyang Ren, Junyi Li, Wayne Xin Zhao, Jing Liu, Ji-Rong Wen:
REAR: A Relevance-Aware Retrieval-Augmented Framework for Open-Domain Question Answering. CoRR abs/2402.17497 (2024) - [i235]Ruiyang Ren, Peng Qiu, Yingqi Qu, Jing Liu, Wayne Xin Zhao, Hua Wu, Ji-Rong Wen, Haifeng Wang:
BASES: Large-scale Web Search User Simulation with Large Language Model based Agents. CoRR abs/2402.17505 (2024) - [i234]Xinyu Tang, Xiaolei Wang, Wayne Xin Zhao, Siyuan Lu, Yaliang Li, Ji-Rong Wen:
Unleashing the Potential of Large Language Models as Prompt Optimizers: An Analogical Analysis with Gradient-based Model Optimizers. CoRR abs/2402.17564 (2024) - [i233]Changyu Chen, Xiting Wang, Ting-En Lin, Ang Lv, Yuchuan Wu, Xin Gao, Ji-Rong Wen, Rui Yan, Yongbin Li:
Masked Thought: Simply Masking Partial Reasoning Steps Can Improve Mathematical Reasoning Learning of Language Models. CoRR abs/2403.02178 (2024) - [i232]Mingji Yang, Hanzhi Wang, Zhewei Wei, Sibo Wang, Ji-Rong Wen:
Efficient Algorithms for Personalized PageRank Computation: A Survey. CoRR abs/2403.05198 (2024) - [i231]Jia-Nan Li, Quan Tu, Cunli Mao, Zhengtao Yu, Ji-Rong Wen, Rui Yan:
StreamingDialogue: Prolonged Dialogue Learning via Long Context Compression with Minimal Losses. CoRR abs/2403.08312 (2024) - [i230]Zikang Liu, Kun Zhou, Wayne Xin Zhao, Dawei Gao, Yaliang Li, Ji-Rong Wen:
Less is More: Data Value Estimation for Visual Instruction Tuning. CoRR abs/2403.09559 (2024) - [i229]Yifan Li, Hangyu Guo, Kun Zhou, Wayne Xin Zhao, Ji-Rong Wen:
Images are Achilles' Heel of Alignment: Exploiting Visual Vulnerabilities for Jailbreaking Multimodal Large Language Models. CoRR abs/2403.09792 (2024) - [i228]Hanzhi Wang, Zhewei Wei, Ji-Rong Wen, Mingji Yang:
Revisiting Local Computation of PageRank: Simple and Optimal. CoRR abs/2403.12648 (2024) - [i227]Qi Liu, Gang Guo, Jiaxin Mao, Zhicheng Dou, Ji-Rong Wen, Hao Jiang, Xinyu Zhang, Zhao Cao:
An Analysis on Matching Mechanisms and Token Pruning for Late-interaction Models. CoRR abs/2403.13291 (2024) - [i226]Bowen Zheng, Zihan Lin, Enze Liu, Chen Yang, Enyang Bai, Cheng Ling, Wayne Xin Zhao, Ji-Rong Wen:
A Large Language Model Enhanced Sequential Recommender for Joint Video and Comment Recommendation. CoRR abs/2403.13574 (2024) - [i225]Xiaoxue Cheng, Junyi Li, Wayne Xin Zhao, Ji-Rong Wen:
ChainLM: Empowering Large Language Models with Improved Chain-of-Thought Prompting. CoRR abs/2403.14312 (2024) - [i224]Zhen Tian, Wayne Xin Zhao, Changwang Zhang, Xin Zhao, Zhongrui Ma, Ji-Rong Wen:
EulerFormer: Sequential User Behavior Modeling with Complex Vector Attention. CoRR abs/2403.17729 (2024) - [i223]Ang Lv, Kaiyi Zhang, Yuhan Chen, Yulong Wang, Lifeng Liu, Ji-Rong Wen, Jian Xie, Rui Yan:
Interpreting Key Mechanisms of Factual Recall in Transformer-Based Language Models. CoRR abs/2403.19521 (2024) - [i222]Zechun Niu, Jiaxin Mao, Qingyao Ai, Ji-Rong Wen:
Investigating the Robustness of Counterfactual Learning to Rank Models: A Reproducibility Study. CoRR abs/2404.03707 (2024) - [i221]Wenyi Mo, Tianyu Zhang, Yalong Bai, Bing Su, Ji-Rong Wen, Qing Yang:
Dynamic Prompt Optimizing for Text-to-Image Generation. CoRR abs/2404.04095 (2024) - [i220]Xiaoqing Zhang, Xiuying Chen, Shen Gao, Shuqi Li, Xin Gao, Ji-Rong Wen, Rui Yan:
Selecting Query-bag as Pseudo Relevance Feedback for Information-seeking Conversations. CoRR abs/2404.04272 (2024) - [i219]Yushuo Chen, Tianyi Tang, Erge Xiang, Linjiang Li, Wayne Xin Zhao, Jing Wang, Yunpeng Chai, Ji-Rong Wen:
Towards Coarse-to-Fine Evaluation of Inference Efficiency for Large Language Models. CoRR abs/2404.11502 (2024) - [i218]Zeyu Zhang, Xiaohe Bo, Chen Ma, Rui Li, Xu Chen, Quanyu Dai, Jieming Zhu, Zhenhua Dong, Ji-Rong Wen:
A Survey on the Memory Mechanism of Large Language Model based Agents. CoRR abs/2404.13501 (2024) - [i217]Peiyu Liu, Ze-Feng Gao, Wayne Xin Zhao, Yipeng Ma, Tao Wang, Ji-Rong Wen:
Unlocking Data-free Low-bit Quantization with Matrix Decomposition for KV Cache Compression. CoRR abs/2405.12591 (2024) - [i216]Kun Zhou, Beichen Zhang, Jiapeng Wang, Zhipeng Chen, Wayne Xin Zhao, Jing Sha, Zhichao Sheng, Shijin Wang, Ji-Rong Wen:
JiuZhang3.0: Efficiently Improving Mathematical Reasoning by Training Small Data Synthesis Models. CoRR abs/2405.14365 (2024) - [i215]Changle Qu, Sunhao Dai, Xiaochi Wei, Hengyi Cai, Shuaiqiang Wang, Dawei Yin, Jun Xu, Ji-Rong Wen:
COLT: Towards Completeness-Oriented Tool Retrieval for Large Language Models. CoRR abs/2405.16089 (2024) - [i214]Sunhao Dai, Weihao Liu, Yuqi Zhou, Liang Pang, Rongju Ruan, Gang Wang, Zhenhua Dong, Jun Xu, Ji-Rong Wen:
Cocktail: A Comprehensive Information Retrieval Benchmark with LLM-Generated Documents Integration. CoRR abs/2405.16546 (2024) - [i213]Changle Qu, Sunhao Dai, Xiaochi Wei, Hengyi Cai, Shuaiqiang Wang, Dawei Yin, Jun Xu, Ji-Rong Wen:
Tool Learning with Large Language Models: A Survey. CoRR abs/2405.17935 (2024) - [i212]Yuqi Zhou, Sunhao Dai, Liang Pang, Gang Wang, Zhenhua Dong, Jun Xu, Ji-Rong Wen:
Source Echo Chamber: Exploring the Escalation of Source Bias in User, Data, and Recommender System Feedback Loop. CoRR abs/2405.17998 (2024) - [i211]Zican Dong, Junyi Li, Xin Men, Wayne Xin Zhao, Bingbing Wang, Zhen Tian, Weipeng Chen, Ji-Rong Wen:
Exploring Context Window of Large Language Models via Decomposed Positional Vectors. CoRR abs/2405.18009 (2024) - [i210]Jinxia Yang, Bing Su, Wayne Xin Zhao, Ji-Rong Wen:
Unlocking the Power of Spatial and Temporal Information in Medical Multimodal Pre-training. CoRR abs/2405.19654 (2024) - [i209]Yutao Zhu, Zhaoheng Huang, Zhicheng Dou, Ji-Rong Wen:
One Token Can Help! Learning Scalable and Pluggable Virtual Tokens for Retrieval-Augmented Large Language Models. CoRR abs/2405.19670 (2024) - [i208]Changshuo Zhang, Teng Shi, Xiao Zhang, Yanping Zheng, Ruobing Xie, Qi Liu, Jun Xu, Ji-Rong Wen:
QAGCF: Graph Collaborative Filtering for Q&A Recommendation. CoRR abs/2406.04828 (2024) - [i207]Haiyuan Zhao, Guohao Cai, Jieming Zhu, Zhenhua Dong, Jun Xu, Ji-Rong Wen:
Counteracting Duration Bias in Video Recommendation via Counterfactual Watch Time. CoRR abs/2406.07932 (2024) - [i206]Xiaoxue Cheng, Junyi Li, Wayne Xin Zhao, Hongzhi Zhang, Fuzheng Zhang, Di Zhang, Kun Gai, Ji-Rong Wen:
Small Agent Can Also Rock! Empowering Small Language Models as Hallucination Detector. CoRR abs/2406.11277 (2024) - [i205]Jie Chen, Yupeng Zhang, Bingning Wang, Wayne Xin Zhao, Ji-Rong Wen, Weipeng Chen:
Unveiling the Flaws: Exploring Imperfections in Synthetic Data and Mitigation Strategies for Large Language Models. CoRR abs/2406.12397 (2024) - [i204]