Liang Pang

201 papers A* 44A 10B 8C 1Misc 2Journal 110Unranked 25
YearRankTypeTitle / Venue / Authors
2026 J jnl
ACE-Align: Attribute Causal Effect Alignment for Cultural Values under Varying Persona Granularities.
CoRR
Jiatang Luo, Bingbing Xu, Rongxin Chen, Xiaoyan Zhao, Yang Zhang, Liang Pang, Zhiyong Huang, Tat-Seng Chua, Huawei Shen
2026 J jnl
Circular Reasoning: Understanding Self-Reinforcing Loops in Large Reasoning Models.
CoRR
Zenghao Duan, Liang Pang, Zihao Wei, Wenbin Duan, Yuxin Tian, Shicheng Xu, Jingcheng Deng, Zhiyi Yin, Xueqi Cheng
2026 A* conf
D-Models and E-Models: Diversity-Stability Trade-offs in the Sampling Behavior of Large Language Models.
WWW
Jia Gu, Liang Pang, Huawei Shen, Xueqi Cheng
2026 J jnl
D-Models and E-Models: Diversity-Stability Trade-offs in the Sampling Behavior of Large Language Models.
CoRR
Jia Gu, Liang Pang, Huawei Shen, Xueqi Cheng
2026 J jnl
DIVA-GRPO: Enhancing Multimodal Reasoning through Difficulty-Adaptive Variant Advantage.
CoRR
Haowen Gao, Zhenyu Zhang, Liang Pang, Fangda Guo, Hongjian Dou, Guannan Lv, Shaoguo Liu, Tingting Gao, Huawei Shen, Xueqi Cheng
2026 — conf
Event-Aware Video Corpus Moment Retrieval.
ECIR (1)
Danyang Hou, Liang Pang, Yanyan Lan, Huawei Shen, Xueqi Cheng
2026 A* conf
Less is More: Compact Clue Selection for Efficient Retrieval-Augmented Generation Reasoning.
WWW
Qianchi Zhang, Hainan Zhang, Liang Pang, Yongxin Tong, Hongwei Zheng, Zhiming Zheng
2026 J jnl
Projecting Out the Malice: A Global Subspace Approach to LLM Detoxification.
CoRR
Zenghao Duan, Zhiyi Yin, Zhichao Shi, Liang Pang, Shaoling Jing, Zihe Huang, Jiayi Wu, Yu Yan, Jingcheng Deng, Huawei Shen, Xueqi Cheng
2026 A* conf
RLKD: Distilling LLMs' Reasoning via Reinforcement Learning.
AAAI
Shicheng Xu, Liang Pang, Yunchang Zhu, Jia Gu, Zihao Wei, Jingcheng Deng, Feiyang Pan, Huawei Shen, Xueqi Cheng
2026 J jnl
Stable-RAG: Mitigating Retrieval-Permutation-Induced Hallucinations in Retrieval-Augmented Generation.
CoRR
Qianchi Zhang, Hainan Zhang, Liang Pang, Hongwei Zheng, Zhiming Zheng
2026 — conf
Towards Quantitative Summarization Evaluation: An Integrated Atomic-Based Evaluation Framework and Dataset for Text Summarization.
ECIR (1)
Yan Lei, Suncong Zheng, Roberts Wang, Liang Pang, Lei He, Shuang Chen, Yu Wang, Huawei Shen, Xueqi Cheng, Yuanzhuo Wang
2025 A* conf
A Theory for Token-Level Harmonization in Retrieval-Augmented Generation.
ICLR
Shicheng Xu, Liang Pang, Huawei Shen, Xueqi Cheng
2025 A* conf
Bridging Jensen Gap for Max-Min Group Fairness Optimization in Recommendation.
ICLR
Chen Xu, Yuxin Li, Wenjie Wang, Liang Pang, Jun Xu, Tat-Seng Chua
2025 J jnl
Bridging Jensen Gap for Max-Min Group Fairness Optimization in Recommendation.
CoRR
Chen Xu, Yuxin Li, Wenjie Wang, Liang Pang, Jun Xu, Tat-Seng Chua
2025 J jnl
Can Synthetic Query Rewrites Capture User Intent Better than Humans in Retrieval-Augmented Generation?
CoRR
Jiaying Zheng, Hainan Zhang, Liang Pang, Yongxin Tong, Zhiming Zheng
2025 A* conf
Cross-Modal Safety Mechanism Transfer in Large Vision-Language Models.
ICLR
Shicheng Xu, Liang Pang, Yunchang Zhu, Huawei Shen, Xueqi Cheng
2025 J jnl
Distilling the Implicit Multi-Branch Structure in LLMs' Reasoning via Reinforcement Learning.
CoRR
Shicheng Xu, Liang Pang, Yunchang Zhu, Jia Gu, Zihao Wei, Jingcheng Deng, Feiyang Pan, Huawei Shen, Xueqi Cheng
2025 B conf
Do LLMs Play Dice? Exploring Probability Distribution Sampling in Large Language Models for Behavioral Simulation.
COLING
Jia Gu, Liang Pang, Huawei Shen, Xueqi Cheng
2025 A* conf
Everything is Editable: Extend Knowledge Editing to Unstructured Data in Large Language Models.
ICLR
Jingcheng Deng, Zihao Wei, Liang Pang, Hanxing Ding, Huawei Shen, Xueqi Cheng
2025 A* conf
Exploring the Escalation of Source Bias in User, Data, and Recommender System Feedback Loop.
SIGIR
Yuqi Zhou, Sunhao Dai, Liang Pang, Gang Wang, Zhenhua Dong, Jun Xu, Ji-Rong Wen
2025 J jnl
FineFilter: A Fine-grained Noise Filtering Mechanism for Retrieval-Augmented Large Language Models.
CoRR
Qianchi Zhang, Hainan Zhang, Liang Pang, Hongwei Zheng, Yongxin Tong, Zhiming Zheng
2025 A* conf
Following the Autoregressive Nature of LLM Embeddings via Compression and Alignment.
EMNLP
Jingcheng Deng, Zhongtao Jiang, Liang Pang, Zihao Wei, Liwei Chen, Kun Xu, Yang Song, Huawei Shen, Xueqi Cheng
2025 J jnl
Following the Autoregressive Nature of LLM Embeddings via Compression and Alignment.
CoRR
Jingcheng Deng, Zhongtao Jiang, Liang Pang, Liwei Chen, Kun Xu, Zihao Wei, Huawei Shen, Xueqi Cheng
2025 A* conf
Generative Ghost: Investigating Ranking Bias Hidden in AI-Generated Videos.
ACM Multimedia
Haowen Gao, Liang Pang, Shicheng Xu, Leigang Qu, Tat-Seng Chua, Huawei Shen, Xueqi Cheng
2025 J jnl
Generative Ghost: Investigating Ranking Bias Hidden in AI-Generated Videos.
CoRR
Haowen Gao, Liang Pang, Shicheng Xu, Leigang Qu, Tat-Seng Chua, Huawei Shen, Xueqi Cheng
2025 J jnl
GeoVLMath: Enhancing Geometry Reasoning in Vision-Language Models via Cross-Modal Reward for Auxiliary Line Creation.
CoRR
Shasha Guo, Liang Pang, Xi Wang, Yanling Wang, Huawei Shen, Jing Zhang
2025 J jnl
GloSS over Toxicity: Understanding and Mitigating Toxicity in LLMs via Global Toxic Subspace.
CoRR
Zenghao Duan, Zhiyi Yin, Zhichao Shi, Liang Pang, Shaoling Jing, Jiayi Wu, Yu Yan, Huawei Shen, Xueqi Cheng
2025 J jnl
Large Language Model Sourcing: A Survey.
CoRR
Liang Pang, Kangxi Wu, Sunhao Dai, Zihao Wei, Zenghao Duan, Jia Gu, Xiang Li, Zhiyi Yin, Jun Xu, Huawei Shen, Xueqi Cheng
2025 J jnl
Latent Reasoning in LLMs as a Vocabulary-Space Superposition.
CoRR
Jingcheng Deng, Liang Pang, Zihao Wei, Shicheng Xu, Zenghao Duan, Kun Xu, Yang Song, Huawei Shen, Xueqi Cheng
2025 J jnl
Learning to Erase Private Knowledge from Multi-Documents for Retrieval-Augmented Large Language Models.
CoRR
Yujing Wang, Hainan Zhang, Liang Pang, Yongxin Tong, Binghui Guo, Hongwei Zheng, Zhiming Zheng
2025 A* conf
LightPROF: A Lightweight Reasoning Framework for Large Language Model on Knowledge Graph.
AAAI
Tu Ao, Yanhua Yu, Yuling Wang, Yang Deng, Zirui Guo, Liang Pang, Pinghui Wang, Tat-Seng Chua, Xiao Zhang, Zhen Cai
2025 J jnl
LightPROF: A Lightweight Reasoning Framework for Large Language Model on Knowledge Graph.
CoRR
Tu Ao, Yanhua Yu, Yuling Wang, Yang Deng, Zirui Guo, Liang Pang, Pinghui Wang, Tat-Seng Chua, Xiao Zhang, Zhen Cai
2025 B conf
MLaKE: Multilingual Knowledge Editing Benchmark for Large Language Models.
COLING
Zihao Wei, Jingcheng Deng, Liang Pang, Hanxing Ding, Huawei Shen, Xueqi Cheng
2025 A* conf
MaFeRw: Query Rewriting with Multi-Aspect Feedbacks for Retrieval-Augmented Large Language Models.
AAAI
Yujing Wang, Hainan Zhang, Liang Pang, Binghui Guo, Hongwei Zheng, Zhiming Zheng
2025 A* conf
Media Source Matters More Than Content: Unveiling Political Bias in LLM-Generated Citations.
EMNLP
Sunhao Dai, Zhanshuo Cao, Wenjie Wang, Liang Pang, Jun Xu, See-Kiong Ng, Tat-Seng Chua
2025 A* conf
Mitigating Source Bias with LLM Alignment.
SIGIR
Sunhao Dai, Yuqi Zhou, Liang Pang, Zhuoyang Li, Zhaocheng Du, Gang Wang, Jun Xu
2025 A* conf
NExT-Search: Rebuilding User Feedback Ecosystem for Generative AI Search.
SIGIR
Sunhao Dai, Wenjie Wang, Liang Pang, Jun Xu, See-Kiong Ng, Ji-Rong Wen, Tat-Seng Chua
2025 J jnl
NExT-Search: Rebuilding User Feedback Ecosystem for Generative AI Search.
CoRR
Sunhao Dai, Wenjie Wang, Liang Pang, Jun Xu, See-Kiong Ng, Ji-Rong Wen, Tat-Seng Chua
2025 — conf
On the Diminishing Returns of Complex Robust RAG Training in the Era of Powerful LLMs.
SIGIR-AP
Hanxing Ding, Shuchang Tao, Liang Pang, Zihao Wei, Liwei Chen, Kun Xu, Huawei Shen, Xueqi Cheng
2025 A* conf
Perplexity Trap: PLM-Based Retrievers Overrate Low Perplexity Documents.
ICLR
Haoyu Wang, Sunhao Dai, Haiyuan Zhao, Liang Pang, Xiao Zhang, Gang Wang, Zhenhua Dong, Jun Xu, Ji-Rong Wen
2025 J jnl
Perplexity Trap: PLM-Based Retrievers Overrate Low Perplexity Documents.
CoRR
Haoyu Wang, Sunhao Dai, Haiyuan Zhao, Liang Pang, Xiao Zhang, Gang Wang, Zhenhua Dong, Jun Xu, Ji-Rong Wen
2025 J jnl
Privacy-Preserving Reasoning with Knowledge-Distilled Parametric Retrieval Augmented Generation.
CoRR
Jinwen Chen, Hainan Zhang, Liang Pang, Yongxin Tong, Haibo Zhou, Yuan Zhan, Wei Lin, Zhiming Zheng
2025 J jnl
Reverse Physician-AI Relationship: Full-process Clinical Diagnosis Driven by a Large Language Model.
CoRR
Shicheng Xu, Xin Huang, Zihao Wei, Liang Pang, Huawei Shen, Xueqi Cheng
2025 J jnl
Revisiting Robust RAG: Do We Still Need Complex Robust Training in the Era of Powerful LLMs?
CoRR
Hanxing Ding, Shuchang Tao, Liang Pang, Zihao Wei, Liwei Chen, Kun Xu, Huawei Shen, Xueqi Cheng
2025 — conf
Rowen: Adaptive Retrieval-Augmented Generation for Hallucination Mitigation in LLMs.
SIGIR-AP
Hanxing Ding, Liang Pang, Zihao Wei, Huawei Shen, Xueqi Cheng
2025 J jnl
Stop Spinning Wheels: Mitigating LLM Overthinking via Mining Patterns for Early Reasoning Exit.
CoRR
Zihao Wei, Liang Pang, Jiahao Liu, Jingcheng Deng, Shicheng Xu, Zenghao Duan, Jingang Wang, Fei Sun, Xunliang Cai, Huawei Shen, Xueqi Cheng
2025 A conf
The 1st Workshop on LLM Agents for Social Simulation.
CIKM
Yige Yuan, Junkai Zhou, Bingbing Xu, Liang Pang, Du Su, An Zhang, Teng Xiao, Fengli Xu, Zhaochun Ren, Xu Chen
2025 — conf
ToolCoder: A Systematic Code-Empowered Tool Learning Framework for Large Language Models.
ACL (1)
Hanxing Ding, Shuchang Tao, Liang Pang, Zihao Wei, Jinyang Gao, Bolin Ding, Huawei Shen, Xueqi Cheng
2025 J jnl
ToolCoder: A Systematic Code-Empowered Tool Learning Framework for Large Language Models.
CoRR
Hanxing Ding, Shuchang Tao, Liang Pang, Zihao Wei, Jinyang Gao, Bolin Ding, Huawei Shen, Xueqi Cheng
2025 — conf
Trustworthy Information Retrieval in the LLM Era: Bias, Unfairness, and Hallucination.
SIGIR-AP
Sunhao Dai, Chen Xu, Shicheng Xu, Zhongxiang Sun, Liang Pang, Zhenhua Dong, Jun Xu
2025 A* conf
Understanding Accuracy-Fairness Trade-offs in Re-ranking through Elasticity in Economics.
SIGIR
Chen Xu, Jujia Zhao, Wenjie Wang, Liang Pang, Jun Xu, Tat-Seng Chua, Maarten de Rijke
2025 J jnl
Understanding Accuracy-Fairness Trade-offs in Re-ranking through Elasticity in Economics.
CoRR
Chen Xu, Jujia Zhao, Wenjie Wang, Liang Pang, Jun Xu, Tat-Seng Chua, Maarten de Rijke
2025 A conf
Unifying Bias and Unfairness in Information Retrieval: New Challenges in the LLM Era.
WSDM
Sunhao Dai, Chen Xu, Shicheng Xu, Liang Pang, Zhenhua Dong, Jun Xu
2025 A* conf
Unveiling Knowledge Boundary of Large Language Models for Trustworthy Information Access.
SIGIR
Yang Deng, Moxin Li, Liang Pang, Wenxuan Zhang, Wai Lam
2024 — conf
A Study of Implicit Ranking Unfairness in Large Language Models.
EMNLP (Findings)
Chen Xu, Wenjie Wang, Yuxin Li, Liang Pang, Jun Xu, Tat-Seng Chua
2024 J jnl
A Survey of Generative Search and Recommendation in the Era of Large Language Models.
CoRR
Yongqi Li, Xinyu Lin, Wenjie Wang, Fuli Feng, Liang Pang, Wenjie Li, Liqiang Nie, Xiangnan He, Tat-Seng Chua
2024 A* conf
A Taxation Perspective for Fair Re-ranking.
SIGIR
Chen Xu, Xiaopeng Ye, Wenjie Wang, Liang Pang, Jun Xu, Tat-Seng Chua
2024 J jnl
A Taxation Perspective for Fair Re-ranking.
CoRR
Chen Xu, Xiaopeng Ye, Wenjie Wang, Liang Pang, Jun Xu, Tat-Seng Chua
2024 J jnl
AdaComp: Extractive Context Compression with Adaptive Predictor for Retrieval-Augmented Large Language Models.
CoRR
Qianchi Zhang, Hainan Zhang, Liang Pang, Hongwei Zheng, Zhiming Zheng
2024 — conf
Beyond Memorization: The Challenge of Random Memory Access in Language Models.
ACL (1)
Tongyao Zhu, Qian Liu, Liang Pang, Zhengbao Jiang, Min-Yen Kan, Min Lin
2024 J jnl
Beyond Memorization: The Challenge of Random Memory Access in Language Models.
CoRR
Tongyao Zhu, Qian Liu, Liang Pang, Zhengbao Jiang, Min-Yen Kan, Min Lin
2024 A* conf
Bias and Unfairness in Information Retrieval Systems: New Challenges in the LLM Era.
KDD
Sunhao Dai, Chen Xu, Shicheng Xu, Liang Pang, Zhenhua Dong, Jun Xu
2024 A* conf
Can Small Language Models be Good Reasoners for Sequential Recommendation?
WWW
Yuling Wang, Changxin Tian, Binbin Hu, Yanhua Yu, Ziqi Liu, Zhiqiang Zhang, Jun Zhou, Liang Pang, Xiao Wang
2024 J jnl
Can Small Language Models be Good Reasoners for Sequential Recommendation?
CoRR
Yuling Wang, Changxin Tian, Binbin Hu, Yanhua Yu, Ziqi Liu, Zhiqiang Zhang, Jun Zhou, Liang Pang, Xiao Wang
2024 — conf
Cocktail: A Comprehensive Information Retrieval Benchmark with LLM-Generated Documents Integration.
ACL (Findings)
Sunhao Dai, Weihao Liu, Yuqi Zhou, Liang Pang, Rongju Ruan, Gang Wang, Zhenhua Dong, Jun Xu, Ji-Rong Wen
2024 J jnl
Cocktail: A Comprehensive Information Retrieval Benchmark with LLM-Generated Documents Integration.
CoRR
Sunhao Dai, Weihao Liu, Yuqi Zhou, Liang Pang, Rongju Ruan, Gang Wang, Zhenhua Dong, Jun Xu, Ji-Rong Wen
2024 J jnl
Cross-Modal Safety Mechanism Transfer in Large Vision-Language Models.
CoRR
Shicheng Xu, Liang Pang, Yunchang Zhu, Huawei Shen, Xueqi Cheng
2024 J jnl
Cross-Model Comparative Loss for Enhancing Neuronal Utility in Language Understanding.
ACM Trans. Inf. Syst.
Yunchang Zhu, Liang Pang, Kangxi Wu, Yanyan Lan, Huawei Shen, Xueqi Cheng
2024 A* conf
De-fine: Decomposing and Refining Visual Programs with Auto-Feedback.
ACM Multimedia
Minghe Gao, Juncheng Li, Hao Fei, Liang Pang, Wei Ji, Guoming Wang, Zheqi Lv, Wenqiao Zhang, Siliang Tang, Yueting Zhuang
2024 J jnl
Do LLMs Play Dice? Exploring Probability Distribution Sampling in Large Language Models for Behavioral Simulation.
CoRR
Jia Gu, Liang Pang, Huawei Shen, Xueqi Cheng
2024 A* conf
Enhancing Training Data Attribution for Large Language Models with Fitting Error Consideration.
EMNLP
Kangxi Wu, Liang Pang, Huawei Shen, Xueqi Cheng
2024 J jnl
Enhancing Training Data Attribution for Large Language Models with Fitting Error Consideration.
CoRR
Kangxi Wu, Liang Pang, Huawei Shen, Xueqi Cheng
2024 J jnl
Event-aware Video Corpus Moment Retrieval.
CoRR
Danyang Hou, Liang Pang, Huawei Shen, Xueqi Cheng
2024 A* conf
Fact : Teaching MLLMs with Faithful, Concise and Transferable Rationales.
ACM Multimedia
Minghe Gao, Shuang Chen, Liang Pang, Yuan Yao, Jisheng Dang, Wenqiao Zhang, Juncheng Li, Siliang Tang, Yueting Zhuang, Tat-Seng Chua
2024 J jnl
Fact : Teaching MLLMs with Faithful, Concise and Transferable Rationales.
CoRR
Minghe Gao, Shuang Chen, Liang Pang, Yuan Yao, Jisheng Dang, Wenqiao Zhang, Juncheng Li, Siliang Tang, Yueting Zhuang, Tat-Seng Chua
2024 J jnl
GraphEdit: Large Language Models for Graph Structure Learning.
CoRR
Zirui Guo, Lianghao Xia, Yanhua Yu, Yuling Wang, Zixuan Yang, Wei Wei, Liang Pang, Tat-Seng Chua, Chao Huang
2024 A* conf
HalluciDoctor: Mitigating Hallucinatory Toxicity in Visual Instruction Data.
CVPR
Qifan Yu, Juncheng Li, Longhui Wei, Liang Pang, Wentao Ye, Bosheng Qin, Siliang Tang, Qi Tian, Yueting Zhuang
2024 B conf
Improving Video Corpus Moment Retrieval with Partial Relevance Enhancement.
ICMR
Danyang Hou, Liang Pang, Huawei Shen, Xueqi Cheng
2024 J jnl
Improving Video Corpus Moment Retrieval with Partial Relevance Enhancement.
CoRR
Danyang Hou, Liang Pang, Huawei Shen, Xueqi Cheng
2024 A conf
Information-Controllable Graph Contrastive Learning for Recommendation.
RecSys
Zirui Guo, Yanhua Yu, Yuling Wang, Kangkang Lu, Zixuan Yang, Liang Pang, Tat-Seng Chua
2024 A* conf
Invisible Relevance Bias: Text-Image Retrieval Models Prefer AI-Generated Images.
SIGIR
Shicheng Xu, Danyang Hou, Liang Pang, Jingcheng Deng, Jun Xu, Huawei Shen, Xueqi Cheng
2024 J jnl
Knowledge Boundary and Persona Dynamic Shape A Better Social Media Agent.
CoRR
Junkai Zhou, Liang Pang, Ya Jing, Jia Gu, Huawei Shen, Xueqi Cheng
2024 A* conf
List-aware Reranking-Truncation Joint Model for Search and Retrieval-augmented Generation.
WWW
Shicheng Xu, Liang Pang, Jun Xu, Huawei Shen, Xueqi Cheng
2024 J jnl
List-aware Reranking-Truncation Joint Model for Search and Retrieval-augmented Generation.
CoRR
Shicheng Xu, Liang Pang, Jun Xu, Huawei Shen, Xueqi Cheng
2024 J jnl
MLaKE: Multilingual Knowledge Editing Benchmark for Large Language Models.
CoRR
Zihao Wei, Jingcheng Deng, Liang Pang, Hanxing Ding, Huawei Shen, Xueqi Cheng
2024 J jnl
MaFeRw: Query Rewriting with Multi-Aspect Feedbacks for Retrieval-Augmented Large Language Models.
CoRR
Yujing Wang, Hainan Zhang, Liang Pang, Binghui Guo, Hongwei Zheng, Zhiming Zheng
2024 J jnl
NIR-Prompt: A Multi-task Generalized Neural Information Retrieval Training Framework.
ACM Trans. Inf. Syst.
Shicheng Xu, Liang Pang, Huawei Shen, Xueqi Cheng
2024 A* conf
Neural Retrievers are Biased Towards LLM-Generated Content.
KDD
Sunhao Dai, Yuqi Zhou, Liang Pang, Weihao Liu, Xiaolin Hu, Yong Liu, Xiao Zhang, Gang Wang, Jun Xu
2024 — conf
Plot Retrieval as an Assessment of Abstract Semantic Association.
ACL (Student Research Workshop)
Shicheng Xu, Liang Pang, Jiangnan Li, Mo Yu, Fandong Meng, Huawei Shen, Xueqi Cheng, Jie Zhou
2024 — conf
Qsnail: A Questionnaire Dataset for Sequential Question Generation.
LREC/COLING
Yan Lei, Liang Pang, Yuanzhuo Wang, Huawei Shen, Xueqi Cheng
2024 J jnl
Qsnail: A Questionnaire Dataset for Sequential Question Generation.
CoRR
Yan Lei, Liang Pang, Yuanzhuo Wang, Huawei Shen, Xueqi Cheng
2024 J jnl
Retrieve Only When It Needs: Adaptive Retrieval Augmentation for Hallucination Mitigation in Large Language Models.
CoRR
Hanxing Ding, Liang Pang, Zihao Wei, Huawei Shen, Xueqi Cheng
2024 A* conf
Search-in-the-Chain: Interactively Enhancing Large Language Models with Search for Knowledge-intensive Tasks.
WWW
Shicheng Xu, Liang Pang, Huawei Shen, Xueqi Cheng, Tat-Seng Chua
2024 J jnl
Source Echo Chamber: Exploring the Escalation of Source Bias in User, Data, and Recommender System Feedback Loop.
CoRR
Yuqi Zhou, Sunhao Dai, Liang Pang, Gang Wang, Zhenhua Dong, Jun Xu, Ji-Rong Wen
2024 J jnl
Stable Knowledge Editing in Large Language Models.
CoRR
Zihao Wei, Liang Pang, Hanxing Ding, Jingcheng Deng, Huawei Shen, Xueqi Cheng
2024 — conf
Think Before You Speak: Cultivating Communication Skills of Large Language Models via Inner Monologue.
NAACL-HLT (Findings)
Junkai Zhou, Liang Pang, Huawei Shen, Xueqi Cheng
2024 J jnl
UnKE: Unstructured Knowledge Editing in Large Language Models.
CoRR
Jingcheng Deng, Zihao Wei, Liang Pang, Hanxing Ding, Huawei Shen, Xueqi Cheng
2024 J jnl
Unifying Bias and Unfairness in Information Retrieval: A Survey of Challenges and Opportunities with Large Language Models.
CoRR
Sunhao Dai, Chen Xu, Shicheng Xu, Liang Pang, Zhenhua Dong, Jun Xu
2024 — conf
Unsupervised Information Refinement Training of Large Language Models for Retrieval-Augmented Generation.
ACL (1)
Shicheng Xu, Liang Pang, Mo Yu, Fandong Meng, Huawei Shen, Xueqi Cheng, Jie Zhou
2024 J jnl
Unsupervised Information Refinement Training of Large Language Models for Retrieval-Augmented Generation.
CoRR
Shicheng Xu, Liang Pang, Mo Yu, Fandong Meng, Huawei Shen, Xueqi Cheng, Jie Zhou
2024 J jnl
Unveil the Duality of Retrieval-Augmented Generation: Theoretical Analysis and Practical Solution.
CoRR
Shicheng Xu, Liang Pang, Huawei Shen, Xueqi Cheng
2023 A* conf
A Disentangled-Attention Based Framework with Persona-Aware Prompt Learning for Dialogue Generation.
AAAI
Pingsheng Liu, Zhengjie Huang, Xiechi Zhang, Linlin Wang, Gerard de Melo, Xin Lin, Liang Pang, Liang He
2023 J jnl
AI-Generated Images Introduce Invisible Relevance Bias to Text-Image Retrieval.
CoRR
Shicheng Xu, Danyang Hou, Liang Pang, Jingcheng Deng, Jun Xu, Huawei Shen, Xueqi Cheng
2023 — conf
BERM: Training the Balanced and Extractable Representation for Matching to Improve Generalization Ability of Dense Retrieval.
ACL (1)
Shicheng Xu, Liang Pang, Huawei Shen, Xueqi Cheng
2023 J jnl
BERM: Training the Balanced and Extractable Representation for Matching to Improve Generalization Ability of Dense Retrieval.
CoRR
Shicheng Xu, Liang Pang, Huawei Shen, Xueqi Cheng
2023 J jnl
Cross-Model Comparative Loss for Enhancing Neuronal Utility in Language Understanding.
CoRR
Yunchang Zhu, Liang Pang, Kangxi Wu, Yanyan Lan, Huawei Shen, Xueqi Cheng
2023 J jnl
De-fine: Decomposing and Refining Visual Programs with Auto-Feedback.
CoRR
Minghe Gao, Juncheng Li, Hao Fei, Liang Pang, Wei Ji, Guoming Wang, Wenqiao Zhang, Siliang Tang, Yueting Zhuang
2023 J jnl
Do LLMs Implicitly Exhibit User Discrimination in Recommendation? An Empirical Study.
CoRR
Chen Xu, Wenjie Wang, Yuxin Li, Liang Pang, Jun Xu, Tat-Seng Chua
2023 J jnl
HalluciDoctor: Mitigating Hallucinatory Toxicity in Visual Instruction Data.
CoRR
Qifan Yu, Juncheng Li, Longhui Wei, Liang Pang, Wentao Ye, Bosheng Qin, Siliang Tang, Qi Tian, Yueting Zhuang
2023 J jnl
LLMDet: A Large Language Models Detection Tool.
CoRR
Kangxi Wu, Liang Pang, Huawei Shen, Xueqi Cheng, Tat-Seng Chua
2023 — conf
LLMDet: A Third Party Large Language Models Generated Text Detection Tool.
EMNLP (Findings)
Kangxi Wu, Liang Pang, Huawei Shen, Xueqi Cheng, Tat-Seng Chua
2023 J jnl
LLMs may Dominate Information Access: Neural Retrievers are Biased Towards LLM-Generated Texts.
CoRR
Sunhao Dai, Yuqi Zhou, Liang Pang, Weihao Liu, Xiaolin Hu, Yong Liu, Xiao Zhang, Jun Xu
2023 — conf
MacLaSa: Multi-Aspect Controllable Text Generation via Efficient Sampling from Compact Latent Space.
EMNLP (Findings)
Hanxing Ding, Liang Pang, Zihao Wei, Huawei Shen, Xueqi Cheng, Tat-Seng Chua
2023 J jnl
MacLaSa: Multi-Aspect Controllable Text Generation via Efficient Sampling from Compact Latent Space.
CoRR
Hanxing Ding, Liang Pang, Zihao Wei, Huawei Shen, Xueqi Cheng, Tat-Seng Chua
2023 J jnl
Multi-video Moment Ranking with Multimodal Clue.
CoRR
Dan Yang Hou, Liang Pang, Yanyan Lan, Huawei Shen, Xueqi Cheng
2023 J jnl
Plot Retrieval as an Assessment of Abstract Semantic Association.
CoRR
Shicheng Xu, Liang Pang, Jiangnan Li, Mo Yu, Fandong Meng, Huawei Shen, Xueqi Cheng, Jie Zhou
2023 — conf
RegaVAE: A Retrieval-Augmented Gaussian Mixture Variational Auto-Encoder for Language Modeling.
EMNLP (Findings)
Jingcheng Deng, Liang Pang, Huawei Shen, Xueqi Cheng
2023 J jnl
RegaVAE: A Retrieval-Augmented Gaussian Mixture Variational Auto-Encoder for Language Modeling.
CoRR
Jingcheng Deng, Liang Pang, Huawei Shen, Xueqi Cheng
2023 J jnl
Search-in-the-Chain: Towards the Accurate, Credible and Traceable Content Generation for Complex Knowledge-intensive Tasks.
CoRR
Shicheng Xu, Liang Pang, Huawei Shen, Xueqi Cheng, Tat-Seng Chua
2023 — conf
SimOAP: Improve Coherence and Consistency in Persona-based Dialogue Generation via Over-sampling and Post-evaluation.
ACL (1)
Junkai Zhou, Liang Pang, Huawei Shen, Xueqi Cheng
2023 J jnl
SimOAP: Improve Coherence and Consistency in Persona-based Dialogue Generation via Over-sampling and Post-evaluation.
CoRR
Junkai Zhou, Liang Pang, Huawei Shen, Xueqi Cheng
2023 J jnl
Structured, Complex and Time-complete Temporal Event Forecasting.
CoRR
Yunshan Ma, Chenchen Ye, Zijian Wu, Xiang Wang, Yixin Cao, Liang Pang, Tat-Seng Chua
2023 J jnl
Think Before You Speak: Cultivating Communication Skills of Large Language Models via Inner Monologue.
CoRR
Junkai Zhou, Liang Pang, Huawei Shen, Xueqi Cheng
2023 J jnl
Visual Reasoning: From State to Transformation.
IEEE Trans. Pattern Anal. Mach. Intell.
Xin Hong, Yanyan Lan, Liang Pang, Jiafeng Guo, Xueqi Cheng
2023 J jnl
Visual Reasoning: from State to Transformation.
CoRR
Xin Hong, Yanyan Lan, Liang Pang, Jiafeng Guo, Xueqi Cheng
2023 J jnl
Visual Transformation Telling.
CoRR
Xin Hong, Yanyan Lan, Liang Pang, Jiafeng Guo, Xueqi Cheng
2022 J jnl
Distribution Distance Regularized Sequence Representation for Text Matching in Asymmetrical Domains.
IEEE ACM Trans. Audio Speech Lang. Process.
Weijie Yu, Chen Xu, Jun Xu, Liang Pang, Ji-Rong Wen
2022 B conf
Dual-Channel Localization Networks for Moment Retrieval with Natural Language.
ICMR
Bolin Zhang, Bin Jiang, Chao Yang, Liang Pang
2022 J jnl
Improving Multi-task Generalization Ability for Neural Text Matching via Prompt Learning.
CoRR
Shicheng Xu, Liang Pang, Huawei Shen, Xueqi Cheng
2022 A* conf
LoL: A Comparative Regularization Loss over Query Reformulation Losses for Pseudo-Relevance Feedback.
SIGIR
Yunchang Zhu, Liang Pang, Yanyan Lan, Huawei Shen, Xueqi Cheng
2022 J jnl
LoL: A Comparative Regularization Loss over Query Reformulation Losses for Pseudo-Relevance Feedback.
CoRR
Yunchang Zhu, Liang Pang, Yanyan Lan, Huawei Shen, Xueqi Cheng
2022 A conf
Match-Prompt: Improving Multi-task Generalization Ability for Neural Text Matching via Prompt Learning.
CIKM
Shicheng Xu, Liang Pang, Huawei Shen, Xueqi Cheng
2022 J jnl
NIR-Prompt: A Multi-task Generalized Neural Information Retrieval Training Framework.
CoRR
Shicheng Xu, Liang Pang, Huawei Shen, Xueqi Cheng
2022 B conf
Optimal Partial Transport Based Sentence Selection for Long-form Document Matching.
COLING
Weijie Yu, Liang Pang, Jun Xu, Bing Su, Zhenhua Dong, Ji-Rong Wen
2022 B conf
Region-based Cross-modal Retrieval.
IJCNN
Dan Yang Hou, Liang Pang, Yanyan Lan, Huawei Shen, Xueqi Cheng
2021 — conf
Adaptive Information Seeking for Open-Domain Question Answering.
EMNLP (1)
Yunchang Zhu, Liang Pang, Yanyan Lan, Huawei Shen, Xueqi Cheng
2021 J jnl
Adaptive Information Seeking for Open-Domain Question Answering.
CoRR
Yunchang Zhu, Liang Pang, Yanyan Lan, Huawei Shen, Xueqi Cheng
2021 A* conf
Beyond Probability Ranking Principle: Modeling the Dependencies among Documents.
SIGIR
Liang Pang, Qingyao Ai, Jun Xu
2021 A conf
Beyond Probability Ranking Principle: Modeling the Dependencies among Documents.
WSDM
Liang Pang, Qingyao Ai, Jun Xu
2021 — ed.
Information Retrieval - 27th China Conference, CCIR 2021, Dalian, China, October 29-31, 2021, Proceedings
CCIR
Hongfei Lin, Min Zhang, Liang Pang
2021 A conf
Match-Ignition: Plugging PageRank into Transformer for Long-form Text Matching.
CIKM
Liang Pang, Yanyan Lan, Xueqi Cheng
2021 J jnl
Match-Ignition: Plugging PageRank into Transformer for Long-form Text Matching.
CoRR
Liang Pang, Yanyan Lan, Xueqi Cheng
2021 J jnl
Modeling Relevance Ranking under the Pre-training and Fine-tuning Paradigm.
CoRR
Lin Bo, Liang Pang, Gang Wang, Jun Xu, Xiuqiang He, Ji-Rong Wen
2021 A* conf
Sketch and Customize: A Counterfactual Story Generator.
AAAI
Changying Hao, Liang Pang, Yanyan Lan, Yan Wang, Jiafeng Guo, Xueqi Cheng
2021 J jnl
Sketch and Customize: A Counterfactual Story Generator.
CoRR
Changying Hao, Liang Pang, Yanyan Lan, Yan Wang, Jiafeng Guo, Xueqi Cheng
2021 J jnl
Toward the Understanding of Deep Text Matching Models for Information Retrieval.
CoRR
Lijuan Chen, Yanyan Lan, Liang Pang, Jiafeng Guo, Xueqi Cheng
2021 — conf
Transductive Learning for Unsupervised Text Style Transfer.
EMNLP (1)
Fei Xiao, Liang Pang, Yanyan Lan, Yan Wang, Huawei Shen, Xueqi Cheng
2021 J jnl
Transductive Learning for Unsupervised Text Style Transfer.
CoRR
Fei Xiao, Liang Pang, Yanyan Lan, Yan Wang, Huawei Shen, Xueqi Cheng
2021 A* conf
Transformation Driven Visual Reasoning.
CVPR
Xin Hong, Yanyan Lan, Liang Pang, Jiafeng Guo, Xueqi Cheng
2021 A* conf
Uncertainty Calibration for Ensemble-Based Debiasing Methods.
NeurIPS
Ruibin Xiong, Yimeng Chen, Liang Pang, Xueqi Cheng, Zhi-Ming Ma, Yanyan Lan
2021 J jnl
Uncertainty Calibration for Ensemble-Based Debiasing Methods.
CoRR
Ruibin Xiong, Yimeng Chen, Liang Pang, Xueqi Cheng, Yanyan Lan
2020 J jnl
A Deep Look into neural ranking models for information retrieval.
Inf. Process. Manag.
Jiafeng Guo, Yixing Fan, Liang Pang, Liu Yang, Qingyao Ai, Hamed Zamani, Chen Wu, W. Bruce Croft, Xueqi Cheng
2020 — conf
Beyond Language: Learning Commonsense from Images for Reasoning.
EMNLP (Findings)
Wanqing Cui, Yanyan Lan, Liang Pang, Jiafeng Guo, Xueqi Cheng
2020 J jnl
Beyond Language: Learning Commonsense from Images for Reasoning.
CoRR
Wanqing Cui, Yanyan Lan, Liang Pang, Jiafeng Guo, Xueqi Cheng
2020 — conf
Bursty Event Detection via Multichannel Feature Alignment.
ICBDC
Guangsheng Kuang, Yan Guo, Yue Liu, Liang Pang, Zhihua Yu, Xueqi Cheng, Jinlong Liu, Xiaoming Yu
2020 A* conf
Evaluating Natural Language Generation via Unbalanced Optimal Transport.
IJCAI
Yimeng Chen, Yanyan Lan, Ruibin Xiong, Liang Pang, Zhiming Ma, Xueqi Cheng
2020 J jnl
Knowledge Augmented Dialogue Generation with Divergent Facts Selection.
Knowl. Based Syst.
Bin Jiang, Jingxu Yang, Chao Yang, Wanyue Zhou, Liang Pang, Xiaokang Zhou
2020 J jnl
L2R2: Leveraging Ranking for Abductive Reasoning.
CoRR
Yunchang Zhu, Liang Pang, Yanyan Lan, Xueqi Cheng
2020 A* conf
L2R²: Leveraging Ranking for Abductive Reasoning.
SIGIR
Yunchang Zhu, Liang Pang, Yanyan Lan, Xueqi Cheng
2020 B conf
METNet: A Mutual Enhanced Transformation Network for Aspect-based Sentiment Analysis.
COLING
Bin Jiang, Jing Hou, Wanyue Zhou, Chao Yang, Shihan Wang, Liang Pang
2020 A* conf
Modeling Topical Relevance for Multi-Turn Dialogue Generation.
IJCAI
Hainan Zhang, Yanyan Lan, Liang Pang, Hongshen Chen, Zhuoye Ding, Dawei Yin
2020 J jnl
Modeling Topical Relevance for Multi-Turn Dialogue Generation.
CoRR
Hainan Zhang, Yanyan Lan, Liang Pang, Hongshen Chen, Zhuoye Ding, Dawei Yin
2020 B conf
PEDNet: A Persona Enhanced Dual Alternating Learning Network for Conversational Response Generation.
COLING
Bin Jiang, Wanyue Zhou, Jingxu Yang, Chao Yang, Shihan Wang, Liang Pang
2020 A conf
Ranking Enhanced Dialogue Generation.
CIKM
Changying Hao, Liang Pang, Yanyan Lan, Fei Sun, Jiafeng Guo, Xueqi Cheng
2020 J jnl
Ranking Enhanced Dialogue Generation.
CoRR
Changying Hao, Liang Pang, Yanyan Lan, Fei Sun, Jiafeng Guo, Xueqi Cheng
2020 J jnl
Robust Reinforcement Learning with Wasserstein Constraint.
CoRR
Linfang Hou, Liang Pang, Xin Hong, Yanyan Lan, Zhiming Ma, Dawei Yin
2020 A* conf
SetRank: Learning a Permutation-Invariant Ranking Model for Information Retrieval.
SIGIR
Liang Pang, Jun Xu, Qingyao Ai, Yanyan Lan, Xueqi Cheng, Jirong Wen
2020 J jnl
Transformation Driven Visual Reasoning.
CoRR
Xin Hong, Yanyan Lan, Liang Pang, Jiafeng Guo, Xueqi Cheng
2020 — conf
Wasserstein Distance Regularized Sequence Representation for Text Matching in Asymmetrical Domains.
EMNLP (1)
Weijie Yu, Chen Xu, Jun Xu, Liang Pang, Xiaopeng Gao, Xiaozhao Wang, Ji-Rong Wen
2020 J jnl
Wasserstein Distance Regularized Sequence Representation for Text Matching in Asymmetrical Domains.
CoRR
Weijie Yu, Chen Xu, Jun Xu, Liang Pang, Xiaopeng Gao, Xiaozhao Wang, Ji-Rong Wen
2019 J jnl
A Deep Look into Neural Ranking Models for Information Retrieval.
CoRR
Jiafeng Guo, Yixing Fan, Liang Pang, Liu Yang, Qingyao Ai, Hamed Zamani, Chen Wu, W. Bruce Croft, Xueqi Cheng
2019 A* conf
HAS-QA: Hierarchical Answer Spans Model for Open-Domain Question Answering.
AAAI
Liang Pang, Yanyan Lan, Jiafeng Guo, Jun Xu, Lixin Su, Xueqi Cheng
2019 J jnl
HAS-QA: Hierarchical Answer Spans Model for Open-domain Question Answering.
CoRR
Liang Pang, Yanyan Lan, Jiafeng Guo, Jun Xu, Lixin Su, Xueqi Cheng
2019 — conf
ReCoSa: Detecting the Relevant Contexts with Self-Attention for Multi-turn Dialogue Generation.
ACL (1)
Hainan Zhang, Yanyan Lan, Liang Pang, Jiafeng Guo, Xueqi Cheng
2019 J jnl
ReCoSa: Detecting the Relevant Contexts with Self-Attention for Multi-turn Dialogue Generation.
CoRR
Hainan Zhang, Yanyan Lan, Liang Pang, Jiafeng Guo, Xueqi Cheng
2019 J jnl
SetRank: Learning a Permutation-Invariant Ranking Model for Information Retrieval.
CoRR
Liang Pang, Jun Xu, Qingyao Ai, Yanyan Lan, Xueqi Cheng, Jirong Wen
2018 J jnl
Continual Match Based Training in Pommerman: Technical Report.
CoRR
Peng Peng, Liang Pang, Yufeng Yuan, Chao Gao
2018 — conf
RI-Match: Integrating Both Representations and Interactions for Deep Semantic Matching.
AIRS
Lijuan Chen, Yanyan Lan, Liang Pang, Jiafeng Guo, Jun Xu, Xueqi Cheng
2017 J jnl
A Deep Investigation of Deep IR Models.
CoRR
Liang Pang, Yanyan Lan, Jiafeng Guo, Jun Xu, Xueqi Cheng
2017 A conf
DeepRank: A New Deep Architecture for Relevance Ranking in Information Retrieval.
CIKM
Liang Pang, Yanyan Lan, Jiafeng Guo, Jun Xu, Jingfang Xu, Xueqi Cheng
2017 J jnl
DeepRank: A New Deep Architecture for Relevance Ranking in Information Retrieval.
CoRR
Liang Pang, Yanyan Lan, Jiafeng Guo, Jun Xu, Jingfang Xu, Xueqi Cheng
2017 A conf
Learning Visual Features from Snapshots for Web Search.
CIKM
Yixing Fan, Jiafeng Guo, Yanyan Lan, Jun Xu, Liang Pang, Xueqi Cheng
2017 J jnl
Learning Visual Features from Snapshots for Web Search.
CoRR
Yixing Fan, Jiafeng Guo, Yanyan Lan, Jun Xu, Liang Pang, Xueqi Cheng
2017 C conf
Locally Smoothed Neural Networks.
ACML
Liang Pang, Yanyan Lan, Jun Xu, Jiafeng Guo, Xueqi Cheng
2017 J jnl
Locally Smoothed Neural Networks.
CoRR
Liang Pang, Yanyan Lan, Jun Xu, Jiafeng Guo, Xueqi Cheng
2017 J jnl
MatchZoo: A Toolkit for Deep Text Matching.
CoRR
Yixing Fan, Liang Pang, Jianpeng Hou, Jiafeng Guo, Yanyan Lan, Xueqi Cheng
2016 A* conf
A Deep Architecture for Semantic Matching with Multiple Positional Sentence Representations.
AAAI
Shengxian Wan, Yanyan Lan, Jiafeng Guo, Jun Xu, Liang Pang, Xueqi Cheng
2016 J jnl
A Study of MatchPyramid Models on Ad-hoc Retrieval.
CoRR
Liang Pang, Yanyan Lan, Jiafeng Guo, Jun Xu, Xueqi Cheng
2016 A conf
Beyond Factoid QA: Effective Methods for Non-factoid Answer Sentence Retrieval.
ECIR
Liu Yang, Qingyao Ai, Damiano Spina, Ruey-Cheng Chen, Liang Pang, W. Bruce Croft, Jiafeng Guo, Falk Scholer
2016 J jnl
Image matting in the perception granular deep learning.
Knowl. Based Syst.
Hong Hu, Liang Pang, Zhongzhi Shi
2016 A* conf
Match-SRNN: Modeling the Recursive Matching Structure with Spatial RNN.
IJCAI
Shengxian Wan, Yanyan Lan, Jun Xu, Jiafeng Guo, Liang Pang, Xueqi Cheng
2016 J jnl
Match-SRNN: Modeling the Recursive Matching Structure with Spatial RNN.
CoRR
Shengxian Wan, Yanyan Lan, Jun Xu, Jiafeng Guo, Liang Pang, Xueqi Cheng
2016 A* conf
SPAN: Understanding a Question with Its Support Answers.
AAAI
Liang Pang, Yanyan Lan, Jiafeng Guo, Jun Xu, Xueqi Cheng
2016 A* conf
Text Matching as Image Recognition.
AAAI
Liang Pang, Yanyan Lan, Jiafeng Guo, Jun Xu, Shengxian Wan, Xueqi Cheng
2016 J jnl
Text Matching as Image Recognition.
CoRR
Liang Pang, Yanyan Lan, Jiafeng Guo, Jun Xu, Shengxian Wan, Xueqi Cheng
2015 J jnl
A Deep Architecture for Semantic Matching with Multiple Positional Sentence Representations.
CoRR
Shengxian Wan, Yanyan Lan, Jiafeng Guo, Jun Xu, Liang Pang, Xueqi Cheng
2014 Misc conf
A hybrid approach of PTSVM and ELM inspired by samples' geometric distribution structure.
GrC
Hong Hu, Panyi Ouyang, Liang Pang, Zhongzhi Shi
2014 J jnl
Large Scale Purchase Prediction with Historical User Actions on B2C Online Retail Platform.
CoRR
Yuyu Zhang, Liang Pang, Lei Shi, Bin Wang
2014 J jnl
Perception granular computing in visual haze-free task.
Expert Syst. Appl.
Hong Hu, Liang Pang, Dongping Tian, Zhongzhi Shi
2013 J jnl
Combination of Diverse Ranking Models for Personalized Expedia Hotel Searches.
CoRR
Xudong Liu, Bing Xu, Yuyu Zhang, Qiang Yan, Liang Pang, Qiang Li, Hanxiao Sun, Bin Wang
2013 Misc conf
Granular computing in visual haze-free task.
GrC
Hong Hu, Liang Pang, Dongping Tian, Zhongzhi Shi