Ming Zhang

Venues

Frequent coauthors

Papers

1. Beyond Scaling: Measuring and Predicting the Upper Bound of Knowledge Retention in Language Model Pre-Training
   ACL 2026 ·

   Changhao Jiang

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2. From Scores to Preferences: Redefining Evaluation Paradigm for Speech Quality Reward Modeling
   ACL 2026 ·

   Yifei Cao

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3. LLMEval-Fair: A Large-Scale Longitudinal Study on Robust and Fair Evaluation of Large Language Models
   ACL 2026 · Ming Zhang
4. MetaAct-RL: Training Language Models for Reasoning Through Meta-Action-Based Reinforcement Learning
   AAAI 2026 ·

   Zhiheng Xi

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5. Muse: Towards Reproducible Long-Form Song Generation with Fine-Grained Style Control
   ACL 2026 ·

   Changhao Jiang

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6. Reasoning or Memorization? Unreliable Results of Reinforcement Learning Due to Data Contamination
   AAAI 2026 ·

   Mingqi Wu

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7. VRPO: Rethinking Value Modeling for Robust RL under Noisy Supervision in LLM Post-Training
   ACL 2026 ·

   Dingwei Zhu

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8. What Makes a Good Speech Tokenizer for LLM-Centric Speech Generation? A Systematic Study
   AAAI 2026 ·

   Xiaoran Fan

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9. EvaLearn: Quantifying the Learning Capability and Efficiency of LLMs via Sequential Problem Solving
   NeurIPS 2025 ·

   Shihan Dou

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10. Governance in Motion: Co-evolution of Constitutions and AI models for Scalable Safety
    EMNLP 2025 ·

    Chenhao Huang

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11. LLMEval-Med: A Real-world Clinical Benchmark for Medical LLMs with Physician Validation
    EMNLP 2025 · Ming Zhang
12. PFDial: A Structured Dialogue Instruction Fine-tuning Method Based on UML Flowcharts
    ACL 2025 · Ming Zhang
13. Exploring the Compositional Deficiency of Large Language Models in Mathematical Reasoning Through Trap Problems
    EMNLP 2024 ·

    Jun Zhao

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14. LLMEval: A Preliminary Study on How to Evaluate Large Language Models
    AAAI 2024 ·

    Yue Zhang

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15. TransferTOD: A Generalizable Chinese Multi-Domain Task-Oriented Dialogue System with Transfer Capabilities
    EMNLP 2024 · Ming Zhang