Weizhu Chen

Venues

Frequent coauthors

Papers

1. Gold-Medal-Level Olympiad Geometry Solving with Efficient Heuristic Auxiliary Constructions
   ACL 2026 ·

   Boyan Duan

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2. Training LLMs for Divide-and-Conquer Reasoning Elevates Test-Time Scalability
   ACL 2026 ·

   Xiao Liang

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3. Decoder-Hybrid-Decoder Architecture for Efficient Reasoning with Long Generation
   NeurIPS 2025 ·

   Liliang Ren

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4. Key-Point-Driven Data Synthesis with Its Enhancement on Mathematical Reasoning
   AAAI 2025 ·

   Yiming Huang

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5. LongRoPE2: Near-Lossless LLM Context Window Scaling
   ICML 2025 ·

   Ning Shang

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6. MTL-LoRA: Low-Rank Adaptation for Multi-Task Learning
   AAAI 2025 ·

   Yaming Yang

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7. Proceedings of the 2025 Conference of the Nations of the Americas Chapter of the Association for Computational Linguistics: Human Language Technologies, NAACL 2025 - Volume 3: Industry Track, Albuquerque, New Mexico, USA, April 30, 2025
   NAACL 2025 · Weizhu Chen
8. Reinforcement Learning for Reasoning in Large Language Models with One Training Example
   NeurIPS 2025 ·

   Yiping Wang

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9. Samba: Simple Hybrid State Space Models for Efficient Unlimited Context Language Modeling
   ICLR 2025 ·

   Liliang Ren

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10. SwS: Self-aware Weakness-driven Problem Synthesis in Reinforcement Learning for LLM Reasoning
    NeurIPS 2025 ·

    Xiao Liang

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11. AGIEval: A Human-Centric Benchmark for Evaluating Foundation Models
    NAACL 2024 ·

    Wanjun Zhong

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12. AnnoLLM: Making Large Language Models to Be Better Crowdsourced Annotators
    NAACL 2024 ·

    Xingwei He

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13. Automatic Instruction Evolving for Large Language Models
    EMNLP 2024 ·

    Weihao Zeng

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14. CRITIC: Large Language Models Can Self-Correct with Tool-Interactive Critiquing
    ICLR 2024 ·

    Zhibin Gou

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15. Can LLMs Learn From Mistakes? An Empirical Study on Reasoning Tasks
    EMNLP 2024 ·

    Shengnan An

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16. Competition-Level Problems are Effective LLM Evaluators
    ACL 2024 ·

    Yiming Huang

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17. Language Models can be Deductive Solvers
    NAACL 2024 ·

    Jiazhan Feng

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18. LoftQ: LoRA-Fine-Tuning-aware Quantization for Large Language Models
    ICLR 2024 ·

    Yixiao Li

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19. Make Your LLM Fully Utilize the Context
    NeurIPS 2024 ·

    Shengnan An

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20. Not All Tokens Are What You Need for Pretraining
    NeurIPS 2024 ·

    Zhenghao Lin

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21. Seeking Neural Nuggets: Knowledge Transfer in Large Language Models from a Parametric Perspective
    ICLR 2024 ·

    Ming Zhong

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22. Supervised Knowledge Makes Large Language Models Better In-context Learners
    ICLR 2024 ·

    Linyi Yang

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23. ToRA: A Tool-Integrated Reasoning Agent for Mathematical Problem Solving
    ICLR 2024 ·

    Zhibin Gou

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24. WizardArena: Post-training Large Language Models via Simulated Offline Chatbot Arena
    NeurIPS 2024 ·

    Haipeng Luo

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