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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
- 2024
[j122]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)- [j121]Zhe Yuan, Zhewei Wei, Fangrui Lv, Ji-Rong Wen:
Index-free triangle-based graph local clustering. Frontiers Comput. Sci. 18(3): 183404 (2024) - [j120]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) - [j119]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) - [j118]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) - [j117]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) - [j116]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) - [j115]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) - [j114]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) - [j113]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) - [j112]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) - [j111]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) - [j110]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) - [j109]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) - [j108]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) - [c331]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 - [c330]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 - [c329]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 - [c328]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 - [c327]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 - [c326]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 - [c325]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 - [c324]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 - [c323]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 - [c322]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 - [c321]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 - [c320]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 - [c319]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 - [c318]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 - [c317]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 - [c316]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 - [c315]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 - [c314]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 - [c313]Lang Mei, Jiaxin Mao, Ji-Rong Wen:
Optimizing Probabilistic Box Embeddings with Distance Measures. ICDE 2024: 5088-5100 - [c312]Zhewei Wei, Ji-Rong Wen, Mingji Yang:
Approximating Single-Source Personalized PageRank with Absolute Error Guarantees. ICDT 2024: 9:1-9:19 - [c311]Geyang Guo, Ranchi Zhao, Tianyi Tang, Xin Zhao, Ji-Rong Wen:
Beyond Imitation: Leveraging Fine-grained Quality Signals for Alignment. ICLR 2024 - [c310]Jinxia Yang, Bing Su, Xin Zhao, Ji-Rong Wen:
Unlocking the Power of Spatial and Temporal Information in Medical Multimodal Pre-training. ICML 2024 - [c309]Zhen Tian, Yuhong Shi, Xiangkun Wu, Wayne Xin Zhao, Ji-Rong Wen:
Rotative Factorization Machines. KDD 2024: 2912-2923 - [c308]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 - [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 - [i229]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) - [i228]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) - [i227]Zhewei Wei, Ji-Rong Wen, Mingji Yang:
Approximating Single-Source Personalized PageRank with Absolute Error Guarantees. CoRR abs/2401.01019 (2024) - [i226]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) - [i225]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) - [i224]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) - [i223]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) - [i222]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) - [i221]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) - [i220]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) - [i219]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) - [i218]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) - [i217]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) - [i216]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) - [i215]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) - [i214]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) - [i213]Mingji Yang, Hanzhi Wang, Zhewei Wei, Sibo Wang, Ji-Rong Wen:
Efficient Algorithms for Personalized PageRank Computation: A Survey. CoRR abs/2403.05198 (2024) - [i212]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) - [i211]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) - [i210]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) - [i209]Hanzhi Wang, Zhewei Wei, Ji-Rong Wen, Mingji Yang:
Revisiting Local Computation of PageRank: Simple and Optimal. CoRR abs/2403.12648 (2024) - [i208]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) - [i207]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) - [i206]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) - [i205]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) - [i204]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) - [i203]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) - [i202]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) - [i201]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) - [i200]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) - [i199]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) - [i198]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) - [i197]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) - [i196]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) - [i195]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) - [i194]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) - [i193]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) - [i192]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) - [i191]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) - [i190]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) - [i189]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) - [i188]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) - [i187]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) - [i186]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) - [i185]Zhipeng Chen, Kun Zhou, Wayne Xin Zhao, Jingyuan Wang, Ji-Rong Wen:
Low-Redundant Optimization for Large Language Model Alignment. CoRR abs/2406.12606 (2024) - [i184]Xiaolei Wang, Xinyu Tang, Wayne Xin Zhao, Ji-Rong Wen:
Investigating the Pre-Training Dynamics of In-Context Learning: Task Recognition vs. Task Learning. CoRR abs/2406.14022 (2024) - [i183]Yifan Du, Kun Zhou, Yuqi Huo, Yifan Li, Wayne Xin Zhao, Haoyu Lu, Zijia Zhao, Bingning Wang, Weipeng Chen, Ji-Rong Wen:
Towards Event-oriented Long Video Understanding. CoRR abs/2406.14129 (2024) - [i182]Wentong Chen, Yankai Lin, ZhenHao Zhou, HongYun Huang, Yantao Jia, Zhao Cao, Ji-Rong Wen:
ICLEval: Evaluating In-Context Learning Ability of Large Language Models. CoRR abs/2406.14955 (2024) - [i181]Guanting Dong, Yutao Zhu, Chenghao Zhang, Zechen Wang, Zhicheng Dou, Ji-Rong Wen:
Understand What LLM Needs: Dual Preference Alignment for Retrieval-Augmented Generation. CoRR abs/2406.18676 (2024) - [i180]Yutao Zhu, Kun Zhou, Kelong Mao, Wentong Chen, Yiding Sun, Zhipeng Chen, Qian Cao, Yihan Wu, Yushuo Chen, Feng Wang, Lei Zhang, Junyi Li, Xiaolei Wang, Lei Wang, Beichen Zhang, Zican Dong, Xiaoxue Cheng, Yuhan Chen, Xinyu Tang, Yupeng Hou, Qiangqiang Ren, Xincheng Pang, Shufang Xie, Wayne Xin Zhao, Zhicheng Dou, Jiaxin Mao, Yankai Lin, Ruihua Song, Jun Xu, Xu Chen, Rui Yan, Zhewei Wei, Di Hu, Wenbing Huang, Ze-Feng Gao, Yueguo Chen, Weizheng Lu, Ji-Rong Wen:
YuLan: An Open-source Large Language Model. CoRR abs/2406.19853 (2024) - [i179]Haonan Chen, Zhicheng Dou, Yutao Zhu, Ji-Rong Wen:
Query-oriented Data Augmentation for Session Search. CoRR abs/2407.03720 (2024) - [i178]Kai Ruan, Ze-Feng Gao, Yike Guo, Hao Sun, Ji-Rong Wen, Yang Liu:
Discovering symbolic expressions with parallelized tree search. CoRR abs/2407.04405 (2024) - [i177]Tianyi Tang, Yiwen Hu, Bingqian Li, Wenyang Luo, Zijing Qin, Haoxiang Sun, Jiapeng Wang, Shiyi Xu, Xiaoxue Cheng, Geyang Guo, Han Peng, Bowen Zheng, Yiru Tang, Yingqian Min, Yushuo Chen, Jie Chen, Yuanqian Zhao, Luran Ding, Yuhao Wang, Zican Dong, Chunxuan Xia, Junyi Li, Kun Zhou, Wayne Xin Zhao, Ji-Rong Wen:
LLMBox: A Comprehensive Library for Large Language Models. CoRR abs/2407.05563 (2024) - [i176]Jinhao Jiang, Junyi Li, Wayne Xin Zhao, Yang Song, Tao Zhang, Ji-Rong Wen:
Mix-CPT: A Domain Adaptation Framework via Decoupling Knowledge Learning and Format Alignment. CoRR abs/2407.10804 (2024) - [i175]Xuchen Pan, Dawei Gao, Yuexiang Xie, Zhewei Wei, Yaliang Li, Bolin Ding, Ji-Rong Wen, Jingren Zhou:
Very Large-Scale Multi-Agent Simulation in AgentScope. CoRR abs/2407.17789 (2024) - [i174]Jie Chen, Zhipeng Chen, Jiapeng Wang, Kun Zhou, Yutao Zhu, Jinhao Jiang, Yingqian Min, Wayne Xin Zhao, Zhicheng Dou, Jiaxin Mao, Yankai Lin, Ruihua Song, Jun Xu, Xu Chen, Rui Yan, Zhewei Wei, Di Hu, Wenbing Huang, Ji-Rong Wen:
Towards Effective and Efficient Continual Pre-training of Large Language Models. CoRR abs/2407.18743 (2024) - 2023
- [j107]Konrad Heidler, Lichao Mou, Di Hu, Pu Jin, Guangyao Li, Chuang Gan, Ji-Rong Wen, Xiao Xiang Zhu:
Self-supervised audiovisual representation learning for remote sensing data. Int. J. Appl. Earth Obs. Geoinformation 116: 103130 (2023) - [j106]Qingyao Ai, Ting Bai, Zhao Cao, Yi Chang, Jiawei Chen, Zhumin Chen, Zhiyong Cheng, Shoubin Dong, Zhicheng Dou, Fuli Feng, Shen Gao, Jiafeng Guo, Xiangnan He, Yanyan Lan, Chenliang Li, Yiqun Liu, Ziyu Lyu, Weizhi Ma, Jun Ma, Zhaochun Ren, Pengjie Ren, Zhiqiang Wang, Mingwen Wang, Ji-Rong Wen, Le Wu, Xin Xin, Jun Xu, Dawei Yin, Peng Zhang, Fan Zhang, Weinan Zhang, Min Zhang, Xiaofei Zhu:
Information Retrieval meets Large Language Models: A strategic report from Chinese IR community. AI Open 4: 80-90 (2023) - [j105]Ji-Rong Wen, Zi Huang, Hanwang Zhang:
Editorial for Special Issue on Large-scale Pre-training: Data, Models, and Fine-tuning. Mach. Intell. Res. 20(2): 145-146 (2023) - [j104]Yujia Zhou, Jing Yao, Zhicheng Dou, Ledell Wu, Ji-Rong Wen:
DynamicRetriever: A Pre-trained Model-based IR System Without an Explicit Index. Mach. Intell. Res. 20(2): 276-288 (2023) - [j103]Wenwen Qiang, Jiangmeng Li, Bing Su, Jianlong Fu, Hui Xiong, Ji-Rong Wen:
Meta Attention-Generation Network for Cross-Granularity Few-Shot Learning. Int. J. Comput. Vis. 131(5): 1211-1233 (2023) - [j102]Zelong Sun, Guoxing Yang, Jingyuan Wen, Nanyi Fei, Zhiwu Lu, Jirong Wen:
Text-to-Chinese-painting Method Based on Multi-domain VQGAN. Int. J. Softw. Informatics 13(2): 197-219 (2023) - [j101]Zhirui Deng, Zhicheng Dou, Ji-Rong Wen:
DeepQFM: a deep learning based query facets mining method. Inf. Retr. J. 26(1): 9 (2023) - [j100]Shuo Shang, Jianbing Shen, Ji-Rong Wen, Panos Kalnis:
Deep understanding of big geo-social data for autonomous vehicles. Neural Comput. Appl. 35(5): 3585-3586 (2023) - [j99]Kun Zhou, Yuanhang Zhou, Wayne Xin Zhao, Ji-Rong Wen:
Learning to Perturb for Contrastive Learning of Unsupervised Sentence Representations. IEEE ACM Trans. Audio Speech Lang. Process. 31: 3935-3944 (2023) - [j98]Jing Yao, Zheng Liu, Junhan Yang, Zhicheng Dou, Xing Xie, Ji-Rong Wen:
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