PPaperPicks

Meng Fang

49 papers at tracked venues · 32 at CORE A* · active 2024–2026

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Venues

ACL ×14EMNLP ×8AAAI ×7ICLR ×7AAMAS ×4NeurIPS ×3EACL ×2NAACL ×2BMVC ×1ICML ×1

Frequent coauthors

Jiaxu Zhao
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Zijing Shi
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Wenhan Han
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Zhixun Chen
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Wanqi Yang
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Yucheng Yang
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Hongye Cao
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Biao Wu
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Shunfeng Zheng
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Baode Wang
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Xiao Xiao
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Ziyan Wang
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Papers

  1. Benchmarking Web Agent Safety under E-commerce Deceptive Interfaces
    ACL 2026 ·
    Zijing Shi
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  2. Causality-Aware Efficient Exploration for Cooperative Multi-Agent Reinforcement Learning
    AAAI 2026 ·
    Hongye Cao
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  3. DOSE: Data Selection for Multi-Modal LLMs via Off-the-Shelf Models
    ACL 2026 ·
    Biao Wu
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  4. FactSearch: An Interactive Agentic Fact Search System for Verifying Large Language Model Outputs
    ACL 2026 · Meng Fang
  5. Infinity-Parser: Layout-Aware Reinforcement Learning with High-quality Document Parsing Dataset
    ACL 2026 ·
    Baode Wang
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  6. Investigating Social Bias Propagation in Federated Fine-tuning of Large Language Models
    AAAI 2026 ·
    Jiaxu Zhao
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  7. MATH-IDN: A Multilingual Mathematical Problem Solving Dataset Featuring Local Languages in Indonesia
    EACL 2026 ·
    Xiao Xiao
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  8. MuBench: Assessment of Multilingual Capabilities of Large Language Models Across 61 Languages
    ACL 2026 ·
    Wenhan Han
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  9. Safe Multi-agent Reinforcement Learning with Natural Language Constraints
    AAAI 2026 ·
    Ziyan Wang
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  10. VaseVQA: Multimodal Agent and Benchmark for Ancient Greek Pottery
    EACL 2026 ·
    Jinchao Ge
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  11. Vision-Language Reasoning for Geolocalization: A Reinforcement Learning Approach
    AAAI 2026 ·
    Biao Wu
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  12. mPresenter: An Agentic Framework for Generating Multilingual Presentation Videos from Scientific Papers
    ACL 2026 ·
    Wenhan Han
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  13. ATLAS: Agent Tuning via Learning Critical Steps
    ACL 2025 ·
    Zhixun Chen
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  14. Benchmarking Foundation Models with Retrieval-Augmented Generation in Olympic-Level Physics Problem Solving
    EMNLP 2025 ·
    Shunfeng Zheng
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  15. Enhancing Input-Label Mapping in In-Context Learning with Contrastive Decoding
    ACL 2025 ·
    Keqin Peng
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  16. HASARD: A Benchmark for Vision-Based Safe Reinforcement Learning in Embodied Agents
    ICLR 2025 ·
    Tristan Tomilin
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  17. Hazards in Daily Life? Enabling Robots to Proactively Detect and Resolve Anomalies
    NAACL 2025 ·
    Zirui Song
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  18. Hierarchical Multi-Agent Framework for Dynamic Macroeconomic Modelling Using Large Language Models
    AAMAS 2025 ·
    Zhixun Chen
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  19. Integrating Large Language Models with Reinforcement Learning for Generalization in Strategic Card Games
    AAMAS 2025 ·
    Wannian Xia
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  20. MTPChat: A Multimodal Time-Aware Persona Dataset for Conversational Agents
    NAACL 2025 ·
    Wanqi Yang
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  21. Monte Carlo Planning with Large Language Model for Text-Based Game Agents
    ICLR 2025 ·
    Zijing Shi
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  22. MuRating: A High Quality Data Selecting Approach to Multilingual Large Language Model Pretraining
    NeurIPS 2025 ·
    Zhixun Chen
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  23. Preference Controllable Reinforcement Learning with Advanced Multi-Objective Optimization
    ICML 2025 ·
    Yucheng Yang
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  24. PresentAgent: Multimodal Agent for Presentation Video Generation
    EMNLP 2025 ·
    Jingwei Shi
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  25. RuAG: Learned-rule-augmented Generation for Large Language Models
    ICLR 2025 ·
    Yudi Zhang
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  26. SpatialWebAgent: Leveraging Large Language Models for Automated Spatial Information Extraction and Map Grounding
    ACL 2025 ·
    Shunfeng Zheng
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  27. Spiral of Silence in Large Language Model Agents
    EMNLP 2025 ·
    Mingze Zhong
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  28. Tackling Data Corruption in Offline Reinforcement Learning via Sequence Modeling
    ICLR 2025 ·
    Jiawei Xu
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  29. Towards Empowerment Gain through Causal Structure Learning in Model-Based Reinforcement Learning
    ICLR 2025 ·
    Hongye Cao
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  30. Understanding Large Language Model Vulnerabilities to Social Bias Attacks
    ACL 2025 ·
    Jiaxu Zhao
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  31. Unmasking Style Sensitivity: A Causal Analysis of Bias Evaluation Instability in Large Language Models
    ACL 2025 ·
    Jiaxu Zhao
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  32. Who Can Withstand Chat-Audio Attacks? An Evaluation Benchmark for Large Audio-Language Models
    ACL 2025 ·
    Wanqi Yang
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  33. Adaptive Regularization of Representation Rank as an Implicit Constraint of Bellman Equation
    ICLR 2024 ·
    Qiang He
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  34. Automatic Curriculum for Unsupervised Reinforcement Learning
    AAMAS 2024 ·
    Yucheng Yang
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  35. CHAmbi: A New Benchmark on Chinese Ambiguity Challenges for Large Language Models
    EMNLP 2024 ·
    Qin Zhang
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  36. Enhancing Temporal Sensitivity and Reasoning for Time-Sensitive Question Answering
    EMNLP 2024 ·
    Wanqi Yang
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  37. Human-Guided Moral Decision Making in Text-Based Games
    AAAI 2024 ·
    Zijing Shi
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  38. LLMs Assist NLP Researchers: Critique Paper (Meta-)Reviewing
    EMNLP 2024 ·
    Jiangshu Du
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  39. Large Language Models Are Neurosymbolic Reasoners
    AAAI 2024 · Meng Fang
  40. Learning to Discuss Strategically: A Case Study on One Night Ultimate Werewolf
    NeurIPS 2024 ·
    Xuanfa Jin
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  41. MaDi: Learning to Mask Distractions for Generalization in Visual Deep Reinforcement Learning
    AAMAS 2024 ·
    Bram Grooten
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  42. MedINST: Meta Dataset of Biomedical Instructions
    EMNLP 2024 ·
    Wenhan Han
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  43. More than Minorities and Majorities: Understanding Multilateral Bias in Language Generation
    ACL 2024 ·
    Jiaxu Zhao
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  44. Motion Avatar: Generate Human and Animal Avatars with Arbitrary Motion
    BMVC 2024 ·
    Zeyu Zhang
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  45. Policy Learning from Tutorial Books via Understanding, Rehearsing and Introspecting
    NeurIPS 2024 ·
    Xiong-Hui Chen
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  46. Representation-Based Robustness in Goal-Conditioned Reinforcement Learning
    AAAI 2024 ·
    Xiangyu Yin
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  47. RetrievalQA: Assessing Adaptive Retrieval-Augmented Generation for Short-form Open-Domain Question Answering
    ACL 2024 ·
    Zihan Zhang
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  48. Revisiting Catastrophic Forgetting in Large Language Model Tuning
    EMNLP 2024 ·
    Hongyu Li
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  49. Task Adaptation from Skills: Information Geometry, Disentanglement, and New Objectives for Unsupervised Reinforcement Learning
    ICLR 2024 ·
    Yucheng Yang
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