PPaperPicks

Liang Pang

Chinese Academy of Sciences, Institute of Computing Technology, Beijing, China

46 papers at tracked venues · 36 at CORE A* · active 2024–2026

DBLP profile ↗ORCID 0000-0003-1161-8546 ↗Google Scholar ↗Homepage ↗

Venues

ACL ×9SIGIR ×8ICLR ×5WWW ×5EMNLP ×4AAAI ×3ACM MM ×3ECIR ×2SIGKDD ×2CIKM ×1CVPR ×1NAACL ×1RecSys ×1WSDM ×1

Frequent coauthors

Huawei Shen
×19
Xueqi Cheng
×19
Jun Xu
×16
Shicheng Xu
×12
Tat-Seng Chua
×11
Sunhao Dai
×10
Jingcheng Deng
×6
Chen Xu
×6
Wenjie Wang
×6
Yuqi Zhou
×5
Ji-Rong Wen
×5
Zihao Wei
×5

Papers

  1. D-Models and E-Models: Diversity-Stability Trade-offs in the Sampling Behavior of Large Language Models
    WWW 2026 ·
    Jia Gu
    , Liang Pang,
    Huawei Shen
    ,
    Xueqi Cheng
  2. Event-Aware Video Corpus Moment Retrieval
    ECIR 2026 ·
    Danyang Hou
    , Liang Pang,
    Yanyan Lan
    ,
    Huawei Shen
    ,
    Xueqi Cheng
  3. Learning to Retrieve from Agent Trajectories
    SIGIR 2026 ·
    Yuqi Zhou
    ,
    Sunhao Dai
    ,
    Changle Qu
    , Liang Pang,
    Jun Xu
    ,
    Ji-Rong Wen
  4. Less is More: Compact Clue Selection for Efficient Retrieval-Augmented Generation Reasoning
    WWW 2026 ·
    Qianchi Zhang
    ,
    Hainan Zhang
    , Liang Pang,
    Yongxin Tong
    ,
    Hongwei Zheng
    ,
    Zhiming Zheng
  5. Privacy-Preserving Reasoning with Knowledge-Distilled Parametric Retrieval Augmented Generation
    ACL 2026 ·
    Jinwen Chen
    ,
    Hainan Zhang
    , Liang Pang,
    Yongxin Tong
    ,
    Haibo Zhou
    ,
    Wei Lin
    ,
    Zhiming Zheng
  6. Projecting Out the Malice: A Global Subspace Approach to LLM Detoxification
    ACL 2026 ·
    Zenghao Duan
    ,
    Zhiyi Yin
    ,
    Zhichao Shi
    , Liang Pang,
    Shaoling Jing
    ,
    Zihe Huang
    ,
    Jiayi Wu
    ,
    Yu Yan
    ,
    Jingcheng Deng
    ,
    Huawei Shen
    ,
    Xueqi Cheng
  7. RLKD: Distilling LLMs' Reasoning via Reinforcement Learning
    AAAI 2026 ·
    Shicheng Xu
    , Liang Pang,
    Yunchang Zhu
    ,
    Jia Gu
    ,
    Zihao Wei
    ,
    Jingcheng Deng
    ,
    Feiyang Pan
    ,
    Huawei Shen
    ,
    Xueqi Cheng
  8. Stable-RAG: Mitigating Retrieval-Permutation-Induced Hallucinations in Retrieval-Augmented Generation
    ACL 2026 ·
    Qianchi Zhang
    ,
    Hainan Zhang
    , Liang Pang,
    Hongwei Zheng
    ,
    Zhiming Zheng
  9. The Evolution of Thought: Tracking LLM Overthinking via Reasoning Dynamics Analysis
    ACL 2026 ·
    Zihao Wei
    , Liang Pang,
    Jiahao Liu
    ,
    Wenjie Shi
    ,
    Jingcheng Deng
    ,
    Shicheng Xu
    ,
    Zenghao Duan
    ,
    Jingang Wang
    ,
    Fei Sun
    ,
    Huawei Shen
    ,
    Xueqi Cheng
  10. Towards Quantitative Summarization Evaluation: An Integrated Atomic-Based Evaluation Framework and Dataset for Text Summarization
    ECIR 2026 ·
    Yan Lei
    ,
    Suncong Zheng
    ,
    Roberts Wang
    , Liang Pang,
    Lei He
    ,
    Shuang Chen
    ,
    Yu Wang
    ,
    Huawei Shen
    ,
    Xueqi Cheng
    ,
    Yuanzhuo Wang
  11. A Theory for Token-Level Harmonization in Retrieval-Augmented Generation
    ICLR 2025 ·
    Shicheng Xu
    , Liang Pang,
    Huawei Shen
    ,
    Xueqi Cheng
  12. Bridging Jensen Gap for Max-Min Group Fairness Optimization in Recommendation
    ICLR 2025 ·
    Chen Xu
    ,
    Yuxin Li
    ,
    Wenjie Wang
    , Liang Pang,
    Jun Xu
    ,
    Tat-Seng Chua
  13. Cross-Modal Safety Mechanism Transfer in Large Vision-Language Models
    ICLR 2025 ·
    Shicheng Xu
    , Liang Pang,
    Yunchang Zhu
    ,
    Huawei Shen
    ,
    Xueqi Cheng
  14. Everything is Editable: Extend Knowledge Editing to Unstructured Data in Large Language Models
    ICLR 2025 ·
    Jingcheng Deng
    ,
    Zihao Wei
    , Liang Pang,
    Hanxing Ding
    ,
    Huawei Shen
    ,
    Xueqi Cheng
  15. Exploring the Escalation of Source Bias in User, Data, and Recommender System Feedback Loop
    SIGIR 2025 ·
    Yuqi Zhou
    ,
    Sunhao Dai
    , Liang Pang,
    Gang Wang
    ,
    Zhenhua Dong
    ,
    Jun Xu
    ,
    Ji-Rong Wen
  16. Following the Autoregressive Nature of LLM Embeddings via Compression and Alignment
    EMNLP 2025 ·
    Jingcheng Deng
    ,
    Zhongtao Jiang
    , Liang Pang,
    Zihao Wei
    ,
    Liwei Chen
    ,
    Kun Xu
    ,
    Yang Song
    ,
    Huawei Shen
    ,
    Xueqi Cheng
  17. Generative Ghost: Investigating Ranking Bias Hidden in AI-Generated Videos
    ACM MM 2025 ·
    Haowen Gao
    , Liang Pang,
    Shicheng Xu
    ,
    Leigang Qu
    ,
    Tat-Seng Chua
    ,
    Huawei Shen
    ,
    Xueqi Cheng
  18. LightPROF: A Lightweight Reasoning Framework for Large Language Model on Knowledge Graph
    AAAI 2025 ·
    Tu Ao
    ,
    Yanhua Yu
    ,
    Yuling Wang
    ,
    Yang Deng
    ,
    Zirui Guo
    , Liang Pang,
    Pinghui Wang
    ,
    Tat-Seng Chua
    ,
    Xiao Zhang
    ,
    Zhen Cai
  19. MaFeRw: Query Rewriting with Multi-Aspect Feedbacks for Retrieval-Augmented Large Language Models
    AAAI 2025 ·
    Yujing Wang
    ,
    Hainan Zhang
    , Liang Pang,
    Binghui Guo
    ,
    Hongwei Zheng
    ,
    Zhiming Zheng
  20. Media Source Matters More Than Content: Unveiling Political Bias in LLM-Generated Citations
    EMNLP 2025 ·
    Sunhao Dai
    ,
    Zhanshuo Cao
    ,
    Wenjie Wang
    , Liang Pang,
    Jun Xu
    ,
    See-Kiong Ng
    ,
    Tat-Seng Chua
  21. Mitigating Source Bias with LLM Alignment
    SIGIR 2025 ·
    Sunhao Dai
    ,
    Yuqi Zhou
    , Liang Pang,
    Zhuoyang Li
    ,
    Zhaocheng Du
    ,
    Gang Wang
    ,
    Jun Xu
  22. NExT-Search: Rebuilding User Feedback Ecosystem for Generative AI Search
    SIGIR 2025 ·
    Sunhao Dai
    ,
    Wenjie Wang
    , Liang Pang,
    Jun Xu
    ,
    See-Kiong Ng
    ,
    Ji-Rong Wen
    ,
    Tat-Seng Chua
  23. Perplexity Trap: PLM-Based Retrievers Overrate Low Perplexity Documents
    ICLR 2025 ·
    Haoyu Wang
    ,
    Sunhao Dai
    ,
    Haiyuan Zhao
    , Liang Pang,
    Xiao Zhang
    ,
    Gang Wang
    ,
    Zhenhua Dong
    ,
    Jun Xu
    ,
    Ji-Rong Wen
  24. The 1st Workshop on LLM Agents for Social Simulation
    CIKM 2025 ·
    Yige Yuan
    ,
    Junkai Zhou
    ,
    Bingbing Xu
    , Liang Pang,
    Du Su
    ,
    An Zhang
    ,
    Teng Xiao
    ,
    Fengli Xu
    ,
    Zhaochun Ren
    ,
    Xu Chen
  25. ToolCoder: A Systematic Code-Empowered Tool Learning Framework for Large Language Models
    ACL 2025 ·
    Hanxing Ding
    ,
    Shuchang Tao
    , Liang Pang,
    Zihao Wei
    ,
    Jinyang Gao
    ,
    Bolin Ding
    ,
    Huawei Shen
    ,
    Xueqi Cheng
  26. Understanding Accuracy-Fairness Trade-offs in Re-ranking through Elasticity in Economics
    SIGIR 2025 ·
    Chen Xu
    ,
    Jujia Zhao
    ,
    Wenjie Wang
    , Liang Pang,
    Jun Xu
    ,
    Tat-Seng Chua
    ,
    Maarten de Rijke
  27. Unifying Bias and Unfairness in Information Retrieval: New Challenges in the LLM Era
    WSDM 2025 ·
    Sunhao Dai
    ,
    Chen Xu
    ,
    Shicheng Xu
    , Liang Pang,
    Zhenhua Dong
    ,
    Jun Xu
  28. Unveiling Knowledge Boundary of Large Language Models for Trustworthy Information Access
    SIGIR 2025 ·
    Yang Deng
    ,
    Moxin Li
    , Liang Pang,
    Wenxuan Zhang
    ,
    Wai Lam
  29. A Study of Implicit Ranking Unfairness in Large Language Models
    EMNLP 2024 ·
    Chen Xu
    ,
    Wenjie Wang
    ,
    Yuxin Li
    , Liang Pang,
    Jun Xu
    ,
    Tat-Seng Chua
  30. A Taxation Perspective for Fair Re-ranking
    SIGIR 2024 ·
    Chen Xu
    ,
    Xiaopeng Ye
    ,
    Wenjie Wang
    , Liang Pang,
    Jun Xu
    ,
    Tat-Seng Chua
  31. Beyond Memorization: The Challenge of Random Memory Access in Language Models
    ACL 2024 ·
    Tongyao Zhu
    ,
    Qian Liu
    , Liang Pang,
    Zhengbao Jiang
    ,
    Min-Yen Kan
    ,
    Min Lin
  32. Bias and Unfairness in Information Retrieval Systems: New Challenges in the LLM Era
    SIGKDD 2024 ·
    Sunhao Dai
    ,
    Chen Xu
    ,
    Shicheng Xu
    , Liang Pang,
    Zhenhua Dong
    ,
    Jun Xu
  33. Can Small Language Models be Good Reasoners for Sequential Recommendation?
    WWW 2024 ·
    Yuling Wang
    ,
    Changxin Tian
    ,
    Binbin Hu
    ,
    Yanhua Yu
    ,
    Ziqi Liu
    ,
    Zhiqiang Zhang
    ,
    Jun Zhou
    , Liang Pang,
    Xiao Wang
  34. Cocktail: A Comprehensive Information Retrieval Benchmark with LLM-Generated Documents Integration
    ACL 2024 ·
    Sunhao Dai
    ,
    Weihao Liu
    ,
    Yuqi Zhou
    , Liang Pang,
    Rongju Ruan
    ,
    Gang Wang
    ,
    Zhenhua Dong
    ,
    Jun Xu
    ,
    Ji-Rong Wen
  35. De-fine: Decomposing and Refining Visual Programs with Auto-Feedback
    ACM MM 2024 ·
    Minghe Gao
    ,
    Juncheng Li
    ,
    Hao Fei
    , Liang Pang,
    Wei Ji
    ,
    Guoming Wang
    ,
    Zheqi Lv
    ,
    Wenqiao Zhang
    ,
    Siliang Tang
    ,
    Yueting Zhuang
  36. Enhancing Training Data Attribution for Large Language Models with Fitting Error Consideration
    EMNLP 2024 ·
    Kangxi Wu
    , Liang Pang,
    Huawei Shen
    ,
    Xueqi Cheng
  37. Fact : Teaching MLLMs with Faithful, Concise and Transferable Rationales
    ACM MM 2024 ·
    Minghe Gao
    ,
    Shuang Chen
    , Liang Pang,
    Yuan Yao
    ,
    Jisheng Dang
    ,
    Wenqiao Zhang
    ,
    Juncheng Li
    ,
    Siliang Tang
    ,
    Yueting Zhuang
    ,
    Tat-Seng Chua
  38. HalluciDoctor: Mitigating Hallucinatory Toxicity in Visual Instruction Data
    CVPR 2024 ·
    Qifan Yu
    ,
    Juncheng Li
    ,
    Longhui Wei
    , Liang Pang,
    Wentao Ye
    ,
    Bosheng Qin
    ,
    Siliang Tang
    ,
    Qi Tian
    ,
    Yueting Zhuang
  39. Information-Controllable Graph Contrastive Learning for Recommendation
    RecSys 2024 ·
    Zirui Guo
    ,
    Yanhua Yu
    ,
    Yuling Wang
    ,
    Kangkang Lu
    ,
    Zixuan Yang
    , Liang Pang,
    Tat-Seng Chua
  40. Invisible Relevance Bias: Text-Image Retrieval Models Prefer AI-Generated Images
    SIGIR 2024 ·
    Shicheng Xu
    ,
    Danyang Hou
    , Liang Pang,
    Jingcheng Deng
    ,
    Jun Xu
    ,
    Huawei Shen
    ,
    Xueqi Cheng
  41. List-aware Reranking-Truncation Joint Model for Search and Retrieval-augmented Generation
    WWW 2024 ·
    Shicheng Xu
    , Liang Pang,
    Jun Xu
    ,
    Huawei Shen
    ,
    Xueqi Cheng
  42. Neural Retrievers are Biased Towards LLM-Generated Content
    SIGKDD 2024 ·
    Sunhao Dai
    ,
    Yuqi Zhou
    , Liang Pang,
    Weihao Liu
    ,
    Xiaolin Hu
    ,
    Yong Liu
    ,
    Xiao Zhang
    ,
    Gang Wang
    ,
    Jun Xu
  43. Plot Retrieval as an Assessment of Abstract Semantic Association
    ACL 2024 ·
    Shicheng Xu
    , Liang Pang,
    Jiangnan Li
    ,
    Mo Yu
    ,
    Fandong Meng
    ,
    Huawei Shen
    ,
    Xueqi Cheng
    ,
    Jie Zhou
  44. Search-in-the-Chain: Interactively Enhancing Large Language Models with Search for Knowledge-intensive Tasks
    WWW 2024 ·
    Shicheng Xu
    , Liang Pang,
    Huawei Shen
    ,
    Xueqi Cheng
    ,
    Tat-Seng Chua
  45. Think Before You Speak: Cultivating Communication Skills of Large Language Models via Inner Monologue
    NAACL 2024 ·
    Junkai Zhou
    , Liang Pang,
    Huawei Shen
    ,
    Xueqi Cheng
  46. Unsupervised Information Refinement Training of Large Language Models for Retrieval-Augmented Generation
    ACL 2024 ·
    Shicheng Xu
    , Liang Pang,
    Mo Yu
    ,
    Fandong Meng
    ,
    Huawei Shen
    ,
    Xueqi Cheng
    ,
    Jie Zhou