PPaperPicks

Liang Ding

JD Explore Academy, JD.com Inc., NLP Group

41 papers at tracked venues · 31 at CORE A* · active 2024–2026

DBLP profile ↗ORCID 0000-0001-8976-2084 ↗Homepage ↗

Venues

ACL ×19EMNLP ×9AAAI ×4NeurIPS ×3ICML ×2ACM MM ×1CVPR ×1ECAI ×1WWW ×1

Frequent coauthors

Dacheng Tao
×29
Li Shen
×13
Xuebo Liu
×8
Bo Du
×8
Min Zhang
×7
Yong Luo
×5
Wenbin Wang
×4
Qihuang Zhong
×4
Juhua Liu
×4
Yuchen Wu
×3
Zhiliang Tian
×3
Dongsheng Li
×3

Papers

  1. Reason-KE++: Aligning the Process, Not Just the Outcome, for Faithful LLM Knowledge Editing
    ACL 2026 ·
    Yuchen Wu
    , Liang Ding,
    Li Shen
    ,
    Dacheng Tao
  2. Rethinking the Hidden Risk of Reranking: Achieving Risk-aware Reranking with Information Gain for RAG with LLMs
    WWW 2026 ·
    Zhizhao Liu
    ,
    Zhihua Wen
    ,
    Zhiliang Tian
    ,
    Zhen Huang
    ,
    Miaorong Zhu
    ,
    Zimian Wei
    ,
    Yifu Gao
    , Liang Ding,
    Dongsheng Li
  3. The Bitter Lesson of Diffusion Language Models for Agentic Workflows: A Comprehensive Reality Check
    ACL 2026 ·
    Qingyu Lu
    , Liang Ding,
    Kanjian Zhang
    ,
    Jinxia Zhang
    ,
    Dacheng Tao
  4. Time-Frequency Token Advantage Clipping for Training Efficient Large Reasoning Model
    AAAI 2026 ·
    Rong Bao
    ,
    Bo Wang
    ,
    Xiao Wang
    ,
    Hongyu Li
    ,
    Rui Zheng
    ,
    Leszek Rutkowski
    ,
    Qi Zhang
    , Liang Ding,
    Dacheng Tao
  5. Universally Empowering Zeroth-Order Optimization via Adaptive Layer-wise Sampling
    ACL 2026 ·
    Fei Wang
    ,
    Li Shen
    , Liang Ding,
    Chao Xue
    ,
    Ye Liu
    ,
    Changxing Ding
  6. AgentDropout: Dynamic Agent Elimination for Token-Efficient and High-Performance LLM-Based Multi-Agent Collaboration
    ACL 2025 ·
    Zhexuan Wang
    ,
    Yutong Wang
    ,
    Xuebo Liu
    , Liang Ding,
    Miao Zhang
    ,
    Jie Liu
    ,
    Min Zhang
  7. AgentInit: Initializing LLM-based Multi-Agent Systems via Diversity and Expertise Orchestration for Effective and Efficient Collaboration
    EMNLP 2025 ·
    Chunhao Tian
    ,
    Yutong Wang
    ,
    Xuebo Liu
    ,
    Zhexuan Wang
    , Liang Ding,
    Miao Zhang
    ,
    Min Zhang
  8. Chinese Toxic Language Mitigation via Sentiment Polarity Consistent Rewrites
    EMNLP 2025 ·
    Xintong Wang
    ,
    Yixiao Liu
    ,
    Jingheng Pan
    , Liang Ding,
    Longyue Wang
    ,
    Chris Biemann
  9. CogSteer: Cognition-Inspired Selective Layer Intervention for Efficiently Steering Large Language Models
    ACL 2025 ·
    Xintong Wang
    ,
    Jingheng Pan
    , Liang Ding,
    Longyue Wang
    ,
    Longqin Jiang
    ,
    Xingshan Li
    ,
    Chris Biemann
  10. Divide, Conquer and Combine: A Training-Free Framework for High-Resolution Image Perception in Multimodal Large Language Models
    AAAI 2025 ·
    Wenbin Wang
    , Liang Ding,
    Minyan Zeng
    ,
    Xiabin Zhou
    ,
    Li Shen
    ,
    Yong Luo
    ,
    Wei Yu
    ,
    Dacheng Tao
  11. DynamicKV: Task-Aware Adaptive KV Cache Compression for Long Context LLMs
    EMNLP 2025 ·
    Xiabin Zhou
    ,
    Wenbin Wang
    ,
    Minyan Zeng
    ,
    Jiaxian Guo
    ,
    Xuebo Liu
    ,
    Li Shen
    ,
    Min Zhang
    , Liang Ding
  12. Edit Once, Update Everywhere: A Simple Framework for Cross-Lingual Knowledge Synchronization in LLMs
    ACL 2025 ·
    Yuchen Wu
    , Liang Ding,
    Li Shen
    ,
    Dacheng Tao
  13. Enhancing Input-Label Mapping in In-Context Learning with Contrastive Decoding
    ACL 2025 ·
    Keqin Peng
    , Liang Ding,
    Yuanxin Ouyang
    ,
    Meng Fang
    ,
    Yancheng Yuan
    ,
    Dacheng Tao
  14. Improving Complex Reasoning over Knowledge Graph with Logic-Aware Curriculum Tuning
    AAAI 2025 ·
    Tianle Xia
    , Liang Ding,
    Guojia Wan
    ,
    Yibing Zhan
    ,
    Bo Du
    ,
    Dacheng Tao
  15. KaFT: Knowledge-aware Fine-tuning for Boosting LLMs' Domain-specific Question-Answering Performance
    ACL 2025 ·
    Qihuang Zhong
    , Liang Ding,
    Xiantao Cai
    ,
    Juhua Liu
    ,
    Bo Du
    ,
    Dacheng Tao
  16. Layer as Puzzle Pieces: Compressing Large Language Models through Layer Concatenation
    NeurIPS 2025 ·
    Fei Wang
    ,
    Li Shen
    , Liang Ding,
    Chao Xue
    ,
    Ye Liu
    ,
    Changxing Ding
  17. Retrieval-Augmented Perception: High-resolution Image Perception Meets Visual RAG
    ICML 2025 ·
    Wenbin Wang
    ,
    Yongcheng Jing
    , Liang Ding,
    Yingjie Wang
    ,
    Li Shen
    ,
    Yong Luo
    ,
    Bo Du
    ,
    Dacheng Tao
  18. Robust Knowledge Editing via Explicit Reasoning Chains for Distractor-Resilient Multi-Hop QA
    EMNLP 2025 ·
    Yuchen Wu
    , Liang Ding,
    Li Shen
    ,
    Dacheng Tao
  19. Runaway is Ashamed, But Helpful: On the Early-Exit Behavior of Large Language Model-based Agents in Embodied Environments
    EMNLP 2025 ·
    Qingyu Lu
    , Liang Ding,
    Siyi Cao
    ,
    Xuebo Liu
    ,
    Kanjian Zhang
    ,
    Jinxia Zhang
    ,
    Dacheng Tao
  20. Self-Evolving Pseudo-Rehearsal for Catastrophic Forgetting with Task Similarity in LLMs
    NeurIPS 2025 ·
    Jun Wang
    , Liang Ding,
    Shuai Wang
    ,
    Hongyu Li
    ,
    Yong Luo
    ,
    Huangxuan Zhao
    ,
    Han Hu
    ,
    Bo Du
  21. The Energy Loss Phenomenon in RLHF: A New Perspective on Mitigating Reward Hacking
    ICML 2025 ·
    Yuchun Miao
    ,
    Sen Zhang
    , Liang Ding,
    Yuqi Zhang
    ,
    Lefei Zhang
    ,
    Dacheng Tao
  22. VisuoThink: Empowering LVLM Reasoning with Multimodal Tree Search
    ACL 2025 ·
    Yikun Wang
    ,
    Siyin Wang
    ,
    Qinyuan Cheng
    ,
    Zhaoye Fei
    , Liang Ding,
    Qipeng Guo
    ,
    Dacheng Tao
    ,
    Xipeng Qiu
  23. Context-aware Watermark with Semantic Balanced Green-red Lists for Large Language Models
    EMNLP 2024 ·
    Yuxuan Guo
    ,
    Zhiliang Tian
    ,
    Yiping Song
    ,
    Tianlun Liu
    , Liang Ding,
    Dongsheng Li
  24. DB-LLM: Accurate Dual-Binarization for Efficient LLMs
    ACL 2024 ·
    Hong Chen
    ,
    Chengtao Lv
    , Liang Ding,
    Haotong Qin
    ,
    Xiabin Zhou
    ,
    Yifu Ding
    ,
    Xuebo Liu
    ,
    Min Zhang
    ,
    Jinyang Guo
    ,
    Xianglong Liu
    ,
    Dacheng Tao
  25. Diversifying the Mixture-of-Experts Representation for Language Models with Orthogonal Optimizer
    ECAI 2024 ·
    Boan Liu
    , Liang Ding,
    Li Shen
    ,
    Keqin Peng
    ,
    Yu Cao
    ,
    Dazhao Cheng
    ,
    Dacheng Tao
  26. Error Analysis Prompting Enables Human-Like Translation Evaluation in Large Language Models
    ACL 2024 ·
    Qingyu Lu
    ,
    Baopu Qiu
    , Liang Ding,
    Kanjian Zhang
    ,
    Tom Kocmi
    ,
    Dacheng Tao
  27. InfoRM: Mitigating Reward Hacking in RLHF via Information-Theoretic Reward Modeling
    NeurIPS 2024 ·
    Yuchun Miao
    ,
    Sen Zhang
    , Liang Ding,
    Rong Bao
    ,
    Lefei Zhang
    ,
    Dacheng Tao
  28. Learning from Imperfect Data: Towards Efficient Knowledge Distillation of Autoregressive Language Models for Text-to-SQL
    EMNLP 2024 ·
    Qihuang Zhong
    ,
    Kunfeng Chen
    , Liang Ding,
    Juhua Liu
    ,
    Bo Du
    ,
    Dacheng Tao
  29. Mitigating Hallucinations in Large Vision-Language Models with Instruction Contrastive Decoding
    ACL 2024 ·
    Xintong Wang
    ,
    Jingheng Pan
    , Liang Ding,
    Chris Biemann
  30. Multi-Step Denoising Scheduled Sampling: Towards Alleviating Exposure Bias for Diffusion Models
    AAAI 2024 ·
    Zhiyao Ren
    ,
    Yibing Zhan
    , Liang Ding,
    Gaoang Wang
    ,
    Chaoyue Wang
    ,
    Zhongyi Fan
    ,
    Dacheng Tao
  31. OOP: Object-Oriented Programming Evaluation Benchmark for Large Language Models
    ACL 2024 ·
    Shuai Wang
    , Liang Ding,
    Li Shen
    ,
    Yong Luo
    ,
    Bo Du
    ,
    Dacheng Tao
  32. POMP: Probability-driven Meta-graph Prompter for LLMs in Low-resource Unsupervised Neural Machine Translation
    ACL 2024 ·
    Shilong Pan
    ,
    Zhiliang Tian
    , Liang Ding,
    Haoqi Zheng
    ,
    Zhen Huang
    ,
    Zhihua Wen
    ,
    Dongsheng Li
  33. ROSE Doesn't Do That: Boosting the Safety of Instruction-Tuned Large Language Models with Reverse Prompt Contrastive Decoding
    ACL 2024 ·
    Qihuang Zhong
    , Liang Ding,
    Juhua Liu
    ,
    Bo Du
    ,
    Dacheng Tao
  34. Revisiting Catastrophic Forgetting in Large Language Model Tuning
    EMNLP 2024 ·
    Hongyu Li
    , Liang Ding,
    Meng Fang
    ,
    Dacheng Tao
  35. Revisiting Demonstration Selection Strategies in In-Context Learning
    ACL 2024 ·
    Keqin Peng
    , Liang Ding,
    Yancheng Yuan
    ,
    Xuebo Liu
    ,
    Min Zhang
    ,
    Yuanxin Ouyang
    ,
    Dacheng Tao
  36. Revisiting Knowledge Distillation for Autoregressive Language Models
    ACL 2024 ·
    Qihuang Zhong
    , Liang Ding,
    Li Shen
    ,
    Juhua Liu
    ,
    Bo Du
    ,
    Dacheng Tao
  37. Self-Powered LLM Modality Expansion for Large Speech-Text Models
    EMNLP 2024 ·
    Tengfei Yu
    ,
    Xuebo Liu
    ,
    Zhiyi Hou
    , Liang Ding,
    Dacheng Tao
    ,
    Min Zhang
  38. Sheared Backpropagation for Fine-Tuning Foundation Models
    CVPR 2024 ·
    Zhiyuan Yu
    ,
    Li Shen
    , Liang Ding,
    Xinmei Tian
    ,
    Yixin Chen
    ,
    Dacheng Tao
  39. Speech Sense Disambiguation: Tackling Homophone Ambiguity in End-to-End Speech Translation
    ACL 2024 ·
    Tengfei Yu
    ,
    Xuebo Liu
    , Liang Ding,
    Kehai Chen
    ,
    Dacheng Tao
    ,
    Min Zhang
  40. Uncertainty Aware Learning for Language Model Alignment
    ACL 2024 ·
    Yikun Wang
    ,
    Rui Zheng
    , Liang Ding,
    Qi Zhang
    ,
    Dahua Lin
    ,
    Dacheng Tao
  41. WisdoM: Improving Multimodal Sentiment Analysis by Fusing Contextual World Knowledge
    ACM MM 2024 ·
    Wenbin Wang
    , Liang Ding,
    Li Shen
    ,
    Yong Luo
    ,
    Han Hu
    ,
    Dacheng Tao