English

邓贺烜

Hexuan Deng 邓贺烜

photo

GitHub Google Scholar
ORCID Semantic Scholar

我是哈尔滨工业大学（深圳）计算机科学与技术专业博士生，并在北京中关村学院联培。 研究兴趣主要包括大语言模型、数据中心人工智能、强化学习和代码智能体。

教育经历

研究经历

研究工作

* 表示共同一作。

会议论文

  1. CoCoReviewBench: A Completeness- and Correctness-Oriented Benchmark for AI Reviewers.
    Hexuan Deng*, Xiaopeng Ke*, Yichen Li*, Ruina Hu*, Dehao Huang, Derek F. Wong, Yue Wang, Xuebo Liu, Min Zhang.
    ICML, 2026. [arXiv] [Github]
  2. REA-RL: Reflection-Aware Online Reinforcement Learning for Efficient Large Reasoning Models.
    Hexuan Deng, Wenxiang Jiao, Xuebo Liu, Jun Rao, Min Zhang.
    ICLR, 2026. [arXiv] [Github]
  3. Dynamic Sampling that Adapts: Self-Aware Iterative Data Persistent Optimization for Mathematical Reasoning.
    Jun Rao, Xuebo Liu, Hexuan Deng, Zepeng Lin, Zixiong Yu, Jiansheng Wei, Xiaojun Meng, Min Zhang.
    Findings of ACL, 2026. [arXiv]
  4. AQuilt: Weaving Logic and Self-Inspection into Low-Cost, High-Relevance Data Synthesis for Specialist LLMs.
    Xiaopeng Ke, Hexuan Deng, Xuebo Liu, Jun Rao, Zhenxi Song, Jun Yu, Min Zhang.
    EMNLP Main Conference, 2025. [arXiv] [Github]
  5. DRPruning: Efficient Large Language Model Pruning through Distributionally Robust Optimization.
    Hexuan Deng, Wenxiang Jiao, Xuebo Liu, Min Zhang, Zhaopeng Tu.
    ACL Main Conference, 2025. [arXiv] [Github]
  6. NewTerm: Benchmarking Real-Time New Terms for Large Language Models with Annual Updates.
    Hexuan Deng, Wenxiang Jiao, Xuebo Liu, Min Zhang, Zhaopeng Tu.
    NeurIPS D&B, 2024. [arXiv] [Github]
  7. Improving Simultaneous Machine Translation with Monolingual Data.
    Hexuan Deng, Liang Ding, Xuebo Liu, Meishan Zhang, Dacheng Tao, Min Zhang.
    AAAI, 2023. [arXiv] [Github]

预印本

  1. Implicit Compression Regularization: Concise Reasoning via Internal Shorter Distributions in RL Post-Training.
    Chen Wang, Hexuan Deng, Yining Zhang, Yuchen Zhang, Jionghao Bai, Zhaochun Li, Ge Lan, Yue Wang.
    arXiv preprint, 2026.
  2. Stop Rewarding Hallucinated Steps: Faithfulness-Aware Step-Level Reinforcement Learning for Small Reasoning Models.
    Shuo Nie*, Hexuan Deng*, Chao Wang, Ruiyu Fang, Xuebo Liu, Shuangyong Song, Yu Li, Min Zhang, Xuelong Li.
    arXiv preprint, 2026. [Github]
  3. MemoNoveltyAgent: A Historical Research Memory-Aware Agent Workflow for Paper Novelty Assessment.
    Jiajun Hou*, Hexuan Deng*, Wenxiang Jiao, Xuebo Liu, Xiaopeng Ke, Derek F. Wong, Min Zhang.
    arXiv preprint, 2026. [Github]
  4. RouterKGQA: Specialized--General Model Routing for Constraint-Aware Knowledge Graph Question Answering.
    Bo Yuan*, Hexuan Deng*, Xuebo Liu, Min Zhang.
    arXiv preprint, 2026. [Github]

项目经历

  1. Co-supervision
    对齐与深度推理小组负责人, Since May 2025
    指导本科生和硕士生开展数据合成、强化学习与多智能体协作研究，覆盖idea、实验设计与论文写作，独立组织组会并参与高水平论文产出。
  2. 招聘大模型
    AI辅助面试负责人, August 2024 -- April 2025
    带领六人团队，专注于个性化定制笔试和面试题、结果评价与岗位匹配，并通过类长文本Agent和辩论Agent自动更新题库。
  3. Holistic Exploration on Universal Decompositional Semantic Parsing: Architecture, Data Augmentation, and LLM Paradigm.
    Hexuan Deng, Xin Zhang, Meishan Zhang, Xuebo Liu, Min Zhang.
    ACL Workshop, 2024. [arXiv] [Github]
    Focused on improving model performance and inference speed for UDS semantic parsing tasks.
  4. "LiZhi" Foundation Model and Intelligent Dialogue System
    Team Member, April 2023 -- June 2023
    Focused on enhancing the model's mathematical capabilities. Introduced a calculator tool to significantly reduce calculation errors.

程序委员会 / 审稿人