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Meng Jiang

University of Notre Dame, Department of Computer Science and Engineering, IN, USA

46 papers at tracked venues · 28 at CORE A* · active 2024–2026

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Venues

ACL ×20EMNLP ×9NAACL ×5AAAI ×2CIKM ×2NeurIPS ×2CHI ×1ICLR ×1ICML ×1IUI ×1MICCAI ×1SIGKDD ×1

Frequent coauthors

Zheyuan Liu
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Zhaoxuan Tan
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Zhihan Zhang
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Zhenyu Wu
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Fengran Mo
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Yining Lu
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Qingkai Zeng
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Gang Liu
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Bang Nguyen
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Ziyi Kou
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Mengzhao Jia
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Mengxia Yu
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Papers

  1. Agentic Conversational Search with Contextualized Reasoning via Reinforcement Learning
    ACL 2026 ·
    Fengran Mo
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  2. AutoRubric: Rubric-Based Generative Rewards for Faithful Multimodal Reasoning
    ACL 2026 ·
    Mengzhao Jia
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  3. Context Selection and Rewriting for Video-based Educational Question Generation
    AAAI 2026 ·
    Mengxia Yu
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  4. Crepe: A Mobile Screen Data Collector Using Graph Query
    CHI 2026 ·
    Yuwen Lu
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  5. Do LLMs Catch Their Own Mistakes? A Comprehensive Benchmark for Reflective Tool Use LLMs
    ACL 2026 ·
    Zheyuan Liu
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  6. Instant Personalized Large Language Model Adaptation via Hypernetwork
    ACL 2026 ·
    Zhaoxuan Tan
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  7. Knowledge Control for Responsible Generative AI: Bridging Academia, Industry, and Society
    ACL 2026 ·
    Zheyuan Liu
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  8. Language-Coupled Reinforcement Learning for Multilingual Retrieval-Augmented Generation
    ACL 2026 ·
    Rui Qi
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  9. MMTutorBench: The First Multimodal Benchmark for AI Math Tutoring
    ACL 2026 ·
    Tengchao Yang
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  10. MTMCS-Bench: Evaluating Contextual Safety of Multimodal Large Language Models in Multi-Turn Dialogues
    ACL 2026 ·
    Zheyuan Liu
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  11. Mitigating Lost in Multi-turn Conversation via Curriculum RL with Verifiable Accuracy and Abstention Rewards
    ACL 2026 ·
    Ming Li
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  12. Advancing Language Models through Instruction Tuning: Recent Progress and Challenges
    EMNLP 2025 ·
    Zhihan Zhang
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  13. Aligning Large Language Models with Implicit Preferences from User-Generated Content
    ACL 2025 ·
    Zhaoxuan Tan
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  14. Benchmarking Language Model Creativity: A Case Study on Code Generation
    NAACL 2025 ·
    Yining Lu
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  15. CodeTaxo: Enhancing Taxonomy Expansion with Limited Examples via Code Language Prompts
    ACL 2025 ·
    Qingkai Zeng
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  16. Cross-Lingual Pitfalls: Automatic Probing Cross-Lingual Weakness of Multilingual Large Language Models
    ACL 2025 ·
    Zixiang Xu
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  17. Disentangling Biased Knowledge from Reasoning in Large Language Models via Machine Unlearning
    ACL 2025 ·
    Zheyuan Liu
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  18. Enhancing Mathematical Reasoning in LLMs by Stepwise Correction
    ACL 2025 ·
    Zhenyu Wu
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  19. IHEval: Evaluating Language Models on Following the Instruction Hierarchy
    NAACL 2025 ·
    Zhihan Zhang
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  20. Improving Large Language Models Function Calling and Interpretability via Guided-Structured Templates
    EMNLP 2025 ·
    Hy Dang
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  21. Incorporating Rather Than Eliminating: Achieving Fairness for Skin Disease Diagnosis Through Group-Specific Experts
    MICCAI 2025 ·
    Gelei Xu
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  22. Learning Attribute as Explicit Relation for Sequential Recommendation
    SIGKDD 2025 ·
    Gang Liu
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  23. Learning Molecular Representation in a Cell
    ICLR 2025 ·
    Gang Liu
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  24. Learning Repetition-Invariant Representations for Polymer Informatics
    NeurIPS 2025 ·
    Yihan Zhu
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  25. Limitations of the LLM-as-a-Judge Approach for Evaluating LLM Outputs in Expert Knowledge Tasks
    IUI 2025 ·
    Annalisa Szymanski
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  26. Modality-Aware Neuron Pruning for Unlearning in Multimodal Large Language Models
    ACL 2025 ·
    Zheyuan Liu
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  27. MultiChartQA: Benchmarking Vision-Language Models on Multi-Chart Problems
    NAACL 2025 ·
    Zifeng Zhu
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  28. Optimizing Decomposition for Optimal Claim Verification
    ACL 2025 ·
    Yining Lu
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  29. Protecting Privacy in Multimodal Large Language Models with MLLMU-Bench
    NAACL 2025 ·
    Zheyuan Liu
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  30. QG-SMS: Enhancing Test Item Analysis via Student Modeling and Simulation
    ACL 2025 ·
    Bang Nguyen
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  31. UniConv: Unifying Retrieval and Response Generation for Large Language Models in Conversations
    ACL 2025 ·
    Fengran Mo
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  32. Chain-of-Layer: Iteratively Prompting Large Language Models for Taxonomy Induction from Limited Examples
    CIKM 2024 ·
    Qingkai Zeng
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  33. Democratizing Large Language Models via Personalized Parameter-Efficient Fine-tuning
    EMNLP 2024 ·
    Zhaoxuan Tan
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  34. FaDE: A Face Segment Driven Identity Anonymization Framework For Fair Face Recognition
    CIKM 2024 ·
    Ziyi Kou
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  35. Get an A in Math: Progressive Rectification Prompting
    AAAI 2024 ·
    Zhenyu Wu
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  36. Instructing Large Language Models to Identify and Ignore Irrelevant Conditions
    NAACL 2024 ·
    Zhenyu Wu
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  37. Large Language Models Can Self-Correct with Key Condition Verification
    EMNLP 2024 ·
    Zhenyu Wu
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  38. Learn Beyond The Answer: Training Language Models with Reflection for Mathematical Reasoning
    EMNLP 2024 ·
    Zhihan Zhang
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  39. PLUG: Leveraging Pivot Language in Cross-Lingual Instruction Tuning
    ACL 2024 ·
    Zhihan Zhang
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  40. Personalized Pieces: Efficient Personalized Large Language Models through Collaborative Efforts
    EMNLP 2024 ·
    Zhaoxuan Tan
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  41. Position: TrustLLM: Trustworthiness in Large Language Models
    ICML 2024 ·
    Yue Huang
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  42. RAt: Injecting Implicit Bias for Text-To-Image Prompt Refinement Models
    EMNLP 2024 ·
    Ziyi Kou
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  43. Reference-based Metrics Disprove Themselves in Question Generation
    EMNLP 2024 ·
    Bang Nguyen
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  44. Shopping MMLU: A Massive Multi-Task Online Shopping Benchmark for Large Language Models
    NeurIPS 2024 ·
    Yilun Jin
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  45. TOWER: Tree Organized Weighting for Evaluating Complex Instructions
    EMNLP 2024 ·
    Noah Ziems
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  46. Towards Safer Large Language Models through Machine Unlearning
    ACL 2024 ·
    Zheyuan Liu
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