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Qi Zhang

Fudan University, School of Computer Science, Shanghai Key Laboratory of Data Science, China

83 papers at tracked venues · 57 at CORE A* · active 2024–2026

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Venues

ACL ×41EMNLP ×21AAAI ×5NeurIPS ×4ICLR ×3ICML ×2NAACL ×2ACM MM ×1EACL ×1IROS ×1RecSys ×1WWW ×1

Frequent coauthors

Junjie Ye
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Shihan Dou
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Zhiheng Xi
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Ming Zhang
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Jun Zhao
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Changhao Jiang
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Binghai Wang
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Chong Zhang
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Yuming Yang
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Wei He
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Shuo Li
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Rui Zheng
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Papers

  1. AgentGym2: Benchmarking Large Language Model Agents in De-Idealized Real-World Environments
    ACL 2026 ·
    Zhiheng Xi
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  2. AgentPRM: Process Reward Models for LLM Agents via Step-Wise Promise and Progress
    WWW 2026 ·
    Zhiheng Xi
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  3. AgentV-RL: Scaling Reward Modeling with Agentic Verifier
    ACL 2026 ·
    Jiazheng Zhang
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  4. Beyond Scaling: Measuring and Predicting the Upper Bound of Knowledge Retention in Language Model Pre-Training
    ACL 2026 ·
    Changhao Jiang
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  5. Counteracting the Matthew Effect in Self-Improvement of LVLMs through Head-Tail Re-balancing
    ACL 2026 ·
    Xin Guo
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  6. DARM: Distribution-Aware Reward Modeling by Alleviating Biases from Low Preference-Context Dependency Data
    ACL 2026 ·
    Shaofan Liu
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  7. Enhancing LLM-based Search Agents via Contribution Weighted Group Relative Policy Optimization
    ACL 2026 ·
    Junzhe Wang
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  8. Feedback-Driven Tool-Use Improvements in Large Language Models via Automated Build Environments
    ACL 2026 ·
    Junjie Ye
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  9. FinToolSyn: A forward synthesis Framework for Financial Tool-Use Dialogue Data with Dynamic Tool Retrieval
    ACL 2026 ·
    Caishuang Huang
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  10. From Scores to Preferences: Redefining Evaluation Paradigm for Speech Quality Reward Modeling
    ACL 2026 ·
    Yifei Cao
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  11. LLMEval-Fair: A Large-Scale Longitudinal Study on Robust and Fair Evaluation of Large Language Models
    ACL 2026 ·
    Ming Zhang
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  12. Locate, Steer, and Improve: A Practical Survey of Actionable Mechanistic Interpretability in Large Language Models
    ACL 2026 ·
    Hengyuan Zhang
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  13. MM-Doc-R1: Training Agents for Long Document Visual Question Answering through Multi-turn Reinforcement Learning
    ACL 2026 ·
    Jiahang Lin
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  14. MetaAct-RL: Training Language Models for Reasoning Through Meta-Action-Based Reinforcement Learning
    AAAI 2026 ·
    Zhiheng Xi
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  15. MulDimIF: A Multi-Dimensional Constraint Framework for Evaluating and Improving Instruction Following in Large Language Models
    ACL 2026 ·
    Junjie Ye
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  16. Muse: Towards Reproducible Long-Form Song Generation with Fine-Grained Style Control
    ACL 2026 ·
    Changhao Jiang
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  17. OctoBench: Benchmarking Scaffold-Aware Instruction Following in Repository-Grounded Agentic Coding
    ACL 2026 ·
    Deming Ding
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  18. Outcome Accuracy is Not Enough: Aligning the Reasoning Process of Reward Models
    ACL 2026 ·
    Binghai Wang
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  19. RLSeek: Evidence-Grounded Reasoning for RAG Hallucination Detection
    ACL 2026 ·
    Zhaoheng Huang
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  20. Reasoning or Memorization? Unreliable Results of Reinforcement Learning Due to Data Contamination
    AAAI 2026 ·
    Mingqi Wu
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  21. Time-Frequency Token Advantage Clipping for Training Efficient Large Reasoning Model
    AAAI 2026 ·
    Rong Bao
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  22. Unveiling the Deficiencies of Pre-trained Text-and-Layout Models in Real-world Visually-rich Document Information Extraction
    EACL 2026 ·
    Chong Zhang
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  23. VRPO: Rethinking Value Modeling for Robust RL under Noisy Supervision in LLM Post-Training
    ACL 2026 ·
    Dingwei Zhu
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  24. Which Reasoning Trajectories Teach Students to Reason Better? A Simple Metric of Informative Alignment
    ACL 2026 ·
    Yuming Yang
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  25. AgentGym: Evaluating and Training Large Language Model-based Agents across Diverse Environments
    ACL 2025 ·
    Zhiheng Xi
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  26. Alleviating Shifted Distribution in Human Preference Alignment through Meta-Learning
    AAAI 2025 ·
    Shihan Dou
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  27. Analyzing the Effects of Supervised Fine-Tuning on Model Knowledge from Token and Parameter Levels
    EMNLP 2025 ·
    Junjie Ye
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  28. BMMR: A Large-Scale Bilingual Multimodal Multi-Discipline Reasoning Dataset
    NeurIPS 2025 ·
    Zhiheng Xi
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  29. Better Process Supervision with Bi-directional Rewarding Signals
    ACL 2025 ·
    Wenxiang Chen
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  30. Capability Salience Vector: Fine-grained Alignment of Loss and Capabilities for Downstream Task Scaling Law
    ACL 2025 ·
    Qiming Ge
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  31. Distill Visual Chart Reasoning Ability from LLMs to MLLMs
    EMNLP 2025 ·
    Wei He
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  32. DocFusion: A Unified Framework for Document Parsing Tasks
    ACL 2025 ·
    Mingxu Chai
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  33. EvaLearn: Quantifying the Learning Capability and Efficiency of LLMs via Sequential Problem Solving
    NeurIPS 2025 ·
    Shihan Dou
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  34. EvoWiki: Evaluating LLMs on Evolving Knowledge
    ACL 2025 ·
    Wei Tang
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  35. Governance in Motion: Co-evolution of Constitutions and AI models for Scalable Safety
    EMNLP 2025 ·
    Chenhao Huang
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  36. Have the VLMs Lost Confidence? A Study of Sycophancy in VLMs
    ICLR 2025 ·
    Shuo Li
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  37. LLMEval-Med: A Real-world Clinical Benchmark for Medical LLMs with Physician Validation
    EMNLP 2025 ·
    Ming Zhang
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  38. LoRACoE: Improving Large Language Model via Composition-based LoRA Expert
    EMNLP 2025 ·
    Guanyu Li
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  39. Lost in the Context: Insufficient and Distracted Attention to Contexts in Preference Modeling
    ACL 2025 ·
    Shihan Dou
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  40. Measuring Data Diversity for Instruction Tuning: A Systematic Analysis and A Reliable Metric
    ACL 2025 ·
    Yuming Yang
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  41. Mitigating Object Hallucinations in MLLMs via Multi-Frequency Perturbations
    EMNLP 2025 ·
    Shuo Li
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  42. Mitigating Tail Narrowing in LLM Self-Improvement via Socratic-Guided Sampling
    NAACL 2025 ·
    Yiwen Ding
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  43. Multi-Programming Language Sandbox for LLMs
    ACL 2025 ·
    Shihan Dou
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  44. PFDial: A Structured Dialogue Instruction Fine-tuning Method Based on UML Flowcharts
    ACL 2025 ·
    Ming Zhang
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  45. Parrot: A Training Pipeline Enhances Both Program CoT and Natural Language CoT for Reasoning
    EMNLP 2025 ·
    Senjie Jin
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  46. Pre-Trained Policy Discriminators are General Reward Models
    NeurIPS 2025 ·
    Shihan Dou
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  47. RMB: Comprehensively benchmarking reward models in LLM alignment
    ICLR 2025 ·
    Enyu Zhou
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  48. TASO: Task-Aligned Sparse Optimization for Parameter-Efficient Model Adaptation
    EMNLP 2025 ·
    Daiye Miao
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  49. TL-Training: A Task-Feature-Based Framework for Training Large Language Models in Tool Use
    EMNLP 2025 ·
    Junjie Ye
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  50. ToolHop: A Query-Driven Benchmark for Evaluating Large Language Models in Multi-Hop Tool Use
    ACL 2025 ·
    Junjie Ye
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  51. Toward Optimal LLM Alignments Using Two-Player Games
    EMNLP 2025 ·
    Rui Zheng
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  52. Towards Economical Inference: Enabling DeepSeek's Multi-Head Latent Attention in Any Transformer-based LLMs
    ACL 2025 ·
    Tao Ji
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  53. Understanding Parametric and Contextual Knowledge Reconciliation within Large Language Models
    NeurIPS 2025 ·
    Jun Zhao
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  54. A Low-Texture Robust Hybrid Feature Based Visual Odometry
    IROS 2024 ·
    He Wang
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  55. Enhancing Contrastive Learning with Noise-Guided Attack: Towards Continual Relation Extraction in the Wild
    ACL 2024 ·
    Ting Wu
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  56. Enhancing News Recommendation with Real-Time Feedback and Generative Sequence Modeling
    RecSys 2024 · Qi Zhang
  57. Exploring the Compositional Deficiency of Large Language Models in Mathematical Reasoning Through Trap Problems
    EMNLP 2024 ·
    Jun Zhao
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  58. Improving Discriminative Capability of Reward Models in RLHF Using Contrastive Learning
    EMNLP 2024 ·
    Lu Chen
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  59. Improving Generalization of Alignment with Human Preferences through Group Invariant Learning
    ICLR 2024 ·
    Rui Zheng
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  60. Inverse-Q*: Token Level Reinforcement Learning for Aligning Large Language Models Without Preference Data
    EMNLP 2024 ·
    Han Xia
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  61. LLMEval: A Preliminary Study on How to Evaluate Large Language Models
    AAAI 2024 ·
    Yue Zhang
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  62. LONGAGENT: Achieving Question Answering for 128k-Token-Long Documents through Multi-Agent Collaboration
    EMNLP 2024 ·
    Jun Zhao
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  63. Length Generalization of Causal Transformers without Position Encoding
    ACL 2024 ·
    Jie Wang
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  64. Linear Alignment: A Closed-form Solution for Aligning Human Preferences without Tuning and Feedback
    ICML 2024 ·
    Songyang Gao
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  65. LoRAMoE: Alleviating World Knowledge Forgetting in Large Language Models via MoE-Style Plugin
    ACL 2024 ·
    Shihan Dou
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  66. LongHeads: Multi-Head Attention is Secretly a Long Context Processor
    EMNLP 2024 ·
    Yi Lu
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  67. Making Harmful Behaviors Unlearnable for Large Language Models
    ACL 2024 ·
    Xin Zhou
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  68. Modeling Layout Reading Order as Ordering Relations for Visually-rich Document Understanding
    EMNLP 2024 ·
    Chong Zhang
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  69. Navigating the OverKill in Large Language Models
    ACL 2024 ·
    Chenyu Shi
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  70. P4: Plug-and-Play Discrete Prompting for Large Language Models Personalization
    ACL 2024 ·
    Yuansen Zhang
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  71. PDF-to-Tree: Parsing PDF Text Blocks into a Tree
    EMNLP 2024 ·
    Yue Zhang
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  72. Rescue: Ranking LLM Responses with Partial Ordering to Improve Response Generation
    ACL 2024 ·
    Yikun Wang
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  73. Reward Modeling Requires Automatic Adjustment Based on Data Quality
    EMNLP 2024 ·
    Binghai Wang
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  74. RoTBench: A Multi-Level Benchmark for Evaluating the Robustness of Large Language Models in Tool Learning
    EMNLP 2024 ·
    Junjie Ye
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  75. Self-Demos: Eliciting Out-of-Demonstration Generalizability in Large Language Models
    NAACL 2024 ·
    Wei He
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  76. StepCoder: Improving Code Generation with Reinforcement Learning from Compiler Feedback
    ACL 2024 ·
    Shihan Dou
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  77. ToolSword: Unveiling Safety Issues of Large Language Models in Tool Learning Across Three Stages
    ACL 2024 ·
    Junjie Ye
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  78. Training Large Language Models for Reasoning through Reverse Curriculum Reinforcement Learning
    ICML 2024 ·
    Zhiheng Xi
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  79. TransferTOD: A Generalizable Chinese Multi-Domain Task-Oriented Dialogue System with Transfer Capabilities
    EMNLP 2024 ·
    Ming Zhang
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  80. UNER: A Unified Prediction Head for Named Entity Recognition in Visually-rich Documents
    ACM MM 2024 ·
    Yi Tu
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  81. Uncertainty Aware Learning for Language Model Alignment
    ACL 2024 ·
    Yikun Wang
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  82. Unveiling Linguistic Regions in Large Language Models
    ACL 2024 ·
    Zhihao Zhang
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  83. Unveiling and Consulting Core Experts in Retrieval-Augmented MoE-based LLMs
    EMNLP 2024 ·
    Xin Zhou
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