Fei Mi

Venues

Frequent coauthors

Papers

1. EssayBench: Evaluating Large Language Models in Multi-Genre Chinese Essay Writing
   AAAI 2026 ·

   Fan Gao

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2. How Should We Enhance the Safety of Large Reasoning Models: An Empirical Study
   ACL 2026 ·

   Zhexin Zhang

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3. Improved Policy Optimization for Mixture-of-Experts Models: Importance Sampling and Rewarding from an Expert-Centric Perspective
   ACL 2026 ·

   Yining Qian

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4. Rethinking Expert Trajectory Utilization in LLM Post-training for Mathematical Reasoning
   ACL 2026 ·

   Bowen Ding

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5. ClusterUCB: Efficient Gradient-Based Data Selection for Targeted Fine-Tuning of LLMs
   EMNLP 2025 ·

   Zige Wang

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6. Mixture of insighTful Experts (MoTE): The Synergy of Reasoning Chains and Expert Mixtures in Self-Alignment
   ACL 2025 ·

   Zhili Liu

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7. Self-Error-Instruct: Generalizing from Errors for LLMs Mathematical Reasoning
   ACL 2025 ·

   Erxin Yu

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8. UAlign: Leveraging Uncertainty Estimations for Factuality Alignment on Large Language Models
   ACL 2025 ·

   Boyang Xue

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9. CoSafe: Evaluating Large Language Model Safety in Multi-Turn Dialogue Coreference
   EMNLP 2024 ·

   Erxin Yu

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10. Defending Large Language Models Against Jailbreaking Attacks Through Goal Prioritization
    ACL 2024 ·

    Zhexin Zhang

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11. Dynamic Stochastic Decoding Strategy for Open-Domain Dialogue Generation
    ACL 2024 ·

    Yiwei Li

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12. Enhancing Large Language Models Against Inductive Instructions with Dual-critique Prompting
    NAACL 2024 ·

    Rui Wang

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13. FollowBench: A Multi-level Fine-grained Constraints Following Benchmark for Large Language Models
    ACL 2024 ·

    Yuxin Jiang

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14. Gaining Wisdom from Setbacks: Aligning Large Language Models via Mistake Analysis
    ICLR 2024 ·

    Kai Chen

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15. Role Prompting Guided Domain Adaptation with General Capability Preserve for Large Language Models
    NAACL 2024 ·

    Rui Wang

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