PPaperPicks

Liang Ding

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

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

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Venues

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

Frequent coauthors

Qihuang Zhong
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Yuchen Wu
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Qingyu Lu
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Xintong Wang
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Wenbin Wang
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Fei Wang
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Keqin Peng
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Yuchun Miao
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Yikun Wang
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Tengfei Yu
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Zhizhao Liu
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Rong Bao
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Papers

  1. Reason-KE++: Aligning the Process, Not Just the Outcome, for Faithful LLM Knowledge Editing
    ACL 2026 ·
    Yuchen Wu
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  2. Rethinking the Hidden Risk of Reranking: Achieving Risk-aware Reranking with Information Gain for RAG with LLMs
    WWW 2026 ·
    Zhizhao Liu
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  3. The Bitter Lesson of Diffusion Language Models for Agentic Workflows: A Comprehensive Reality Check
    ACL 2026 ·
    Qingyu Lu
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  4. Time-Frequency Token Advantage Clipping for Training Efficient Large Reasoning Model
    AAAI 2026 ·
    Rong Bao
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  5. Universally Empowering Zeroth-Order Optimization via Adaptive Layer-wise Sampling
    ACL 2026 ·
    Fei Wang
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  6. AgentDropout: Dynamic Agent Elimination for Token-Efficient and High-Performance LLM-Based Multi-Agent Collaboration
    ACL 2025 ·
    Zhexuan Wang
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  7. AgentInit: Initializing LLM-based Multi-Agent Systems via Diversity and Expertise Orchestration for Effective and Efficient Collaboration
    EMNLP 2025 ·
    Chunhao Tian
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  8. Chinese Toxic Language Mitigation via Sentiment Polarity Consistent Rewrites
    EMNLP 2025 ·
    Xintong Wang
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  9. CogSteer: Cognition-Inspired Selective Layer Intervention for Efficiently Steering Large Language Models
    ACL 2025 ·
    Xintong Wang
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  10. Divide, Conquer and Combine: A Training-Free Framework for High-Resolution Image Perception in Multimodal Large Language Models
    AAAI 2025 ·
    Wenbin Wang
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  11. DynamicKV: Task-Aware Adaptive KV Cache Compression for Long Context LLMs
    EMNLP 2025 ·
    Xiabin Zhou
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  12. Edit Once, Update Everywhere: A Simple Framework for Cross-Lingual Knowledge Synchronization in LLMs
    ACL 2025 ·
    Yuchen Wu
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  13. Enhancing Input-Label Mapping in In-Context Learning with Contrastive Decoding
    ACL 2025 ·
    Keqin Peng
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  14. Improving Complex Reasoning over Knowledge Graph with Logic-Aware Curriculum Tuning
    AAAI 2025 ·
    Tianle Xia
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  15. KaFT: Knowledge-aware Fine-tuning for Boosting LLMs' Domain-specific Question-Answering Performance
    ACL 2025 ·
    Qihuang Zhong
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  16. Layer as Puzzle Pieces: Compressing Large Language Models through Layer Concatenation
    NeurIPS 2025 ·
    Fei Wang
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  17. Retrieval-Augmented Perception: High-resolution Image Perception Meets Visual RAG
    ICML 2025 ·
    Wenbin Wang
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  18. Robust Knowledge Editing via Explicit Reasoning Chains for Distractor-Resilient Multi-Hop QA
    EMNLP 2025 ·
    Yuchen Wu
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  19. Runaway is Ashamed, But Helpful: On the Early-Exit Behavior of Large Language Model-based Agents in Embodied Environments
    EMNLP 2025 ·
    Qingyu Lu
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  20. Self-Evolving Pseudo-Rehearsal for Catastrophic Forgetting with Task Similarity in LLMs
    NeurIPS 2025 ·
    Jun Wang
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  21. The Energy Loss Phenomenon in RLHF: A New Perspective on Mitigating Reward Hacking
    ICML 2025 ·
    Yuchun Miao
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  22. VisuoThink: Empowering LVLM Reasoning with Multimodal Tree Search
    ACL 2025 ·
    Yikun Wang
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  23. Context-aware Watermark with Semantic Balanced Green-red Lists for Large Language Models
    EMNLP 2024 ·
    Yuxuan Guo
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  24. DB-LLM: Accurate Dual-Binarization for Efficient LLMs
    ACL 2024 ·
    Hong Chen
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  25. Diversifying the Mixture-of-Experts Representation for Language Models with Orthogonal Optimizer
    ECAI 2024 ·
    Boan Liu
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  26. Error Analysis Prompting Enables Human-Like Translation Evaluation in Large Language Models
    ACL 2024 ·
    Qingyu Lu
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  27. InfoRM: Mitigating Reward Hacking in RLHF via Information-Theoretic Reward Modeling
    NeurIPS 2024 ·
    Yuchun Miao
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  28. Learning from Imperfect Data: Towards Efficient Knowledge Distillation of Autoregressive Language Models for Text-to-SQL
    EMNLP 2024 ·
    Qihuang Zhong
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  29. Mitigating Hallucinations in Large Vision-Language Models with Instruction Contrastive Decoding
    ACL 2024 ·
    Xintong Wang
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  30. Multi-Step Denoising Scheduled Sampling: Towards Alleviating Exposure Bias for Diffusion Models
    AAAI 2024 ·
    Zhiyao Ren
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  31. OOP: Object-Oriented Programming Evaluation Benchmark for Large Language Models
    ACL 2024 ·
    Shuai Wang
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  32. POMP: Probability-driven Meta-graph Prompter for LLMs in Low-resource Unsupervised Neural Machine Translation
    ACL 2024 ·
    Shilong Pan
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  33. ROSE Doesn't Do That: Boosting the Safety of Instruction-Tuned Large Language Models with Reverse Prompt Contrastive Decoding
    ACL 2024 ·
    Qihuang Zhong
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  34. Revisiting Catastrophic Forgetting in Large Language Model Tuning
    EMNLP 2024 ·
    Hongyu Li
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  35. Revisiting Demonstration Selection Strategies in In-Context Learning
    ACL 2024 ·
    Keqin Peng
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  36. Revisiting Knowledge Distillation for Autoregressive Language Models
    ACL 2024 ·
    Qihuang Zhong
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  37. Self-Powered LLM Modality Expansion for Large Speech-Text Models
    EMNLP 2024 ·
    Tengfei Yu
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  38. Sheared Backpropagation for Fine-Tuning Foundation Models
    CVPR 2024 ·
    Zhiyuan Yu
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  39. Speech Sense Disambiguation: Tackling Homophone Ambiguity in End-to-End Speech Translation
    ACL 2024 ·
    Tengfei Yu
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  40. Uncertainty Aware Learning for Language Model Alignment
    ACL 2024 ·
    Yikun Wang
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  41. WisdoM: Improving Multimodal Sentiment Analysis by Fusing Contextual World Knowledge
    ACM MM 2024 ·
    Wenbin Wang
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