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Chao Zhang

Georgia Institute of Technology, College of Computing, Atlanta, GA, USA

32 papers at tracked venues · 20 at CORE A* · active 2024–2026

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Venues

NeurIPS ×6EMNLP ×5ACL ×4ICLR ×3ICML ×3NAACL ×3AISTATS ×2SIGKDD ×2AAAI ×1IJCAI ×1UAI ×1WWW ×1

Frequent coauthors

Lingkai Kong
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Rongzhi Zhang
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Yinghao Li
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Yuchen Zhuang
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Haorui Wang
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Haoxin Liu
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Zheyuan Liu
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Fengran Mo
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Liqin Ye
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Rushi Qiang
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Changhao Li
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Matthew Hull
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Papers

  1. Do LLMs Catch Their Own Mistakes? A Comprehensive Benchmark for Reflective Tool Use LLMs
    ACL 2026 ·
    Zheyuan Liu
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  2. OpenDecoder: Open Large Language Model Decoding to Incorporate Document Quality in RAG
    WWW 2026 ·
    Fengran Mo
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  3. Calibrating Pre-trained Language Classifiers on LLM-generated Noisy Labels via Iterative Refinement
    SIGKDD 2025 ·
    Liqin Ye
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  4. DF2: Distribution-Free Decision-Focused Learning
    UAI 2025 ·
    Lingkai Kong
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  5. DORM: Preference Data Weights Optimization for Reward Modeling in LLM Alignment
    EMNLP 2025 ·
    Rongzhi Zhang
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  6. Diffusion Models as Constrained Samplers for Optimization with Unknown Constraints
    AISTATS 2025 ·
    Lingkai Kong
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  7. Efficient Evolutionary Search Over Chemical Space with Large Language Models
    ICLR 2025 ·
    Haorui Wang
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  8. Ensembles of Low-Rank Expert Adapters
    ICLR 2025 ·
    Yinghao Li
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  9. Hephaestus: Improving Fundamental Agent Capabilities of Large Language Models through Continual Pre-Training
    NAACL 2025 ·
    Yuchen Zhuang
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  10. LLM-Augmented Chemical Synthesis and Design Decision Programs
    ICML 2025 ·
    Haorui Wang
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  11. MLE-Dojo: Interactive Environments for Empowering LLM Agents in Machine Learning Engineering
    NeurIPS 2025 ·
    Rushi Qiang
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  12. Matryoshka Pilot: Learning to Drive Black-Box LLMs with LLMs
    NeurIPS 2025 ·
    Changhao Li
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  13. RenderBender: A Survey on Adversarial Attacks Using Differentiable Rendering
    IJCAI 2025 ·
    Matthew Hull
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  14. Think-RM: Enabling Long-Horizon Reasoning in Generative Reward Models
    NeurIPS 2025 ·
    Ilgee Hong
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  15. WebAgent-R1: Training Web Agents via End-to-End Multi-Turn Reinforcement Learning
    EMNLP 2025 ·
    Zhepei Wei
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  16. A Simple but Effective Approach to Improve Structured Language Model Output for Information Extraction
    EMNLP 2024 ·
    Yinghao Li
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  17. Aligning Large Language Models with Representation Editing: A Control Perspective
    NeurIPS 2024 ·
    Lingkai Kong
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  18. Assessing Logical Puzzle Solving in Large Language Models: Insights from a Minesweeper Case Study
    NAACL 2024 ·
    Yinghao Li
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  19. BBox-Adapter: Lightweight Adapting for Black-Box Large Language Models
    ICML 2024 ·
    Haotian Sun
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  20. BMRetriever: Tuning Large Language Models as Better Biomedical Text Retrievers
    EMNLP 2024 ·
    Ran Xu
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  21. Data Diversity Matters for Robust Instruction Tuning
    EMNLP 2024 ·
    Alexander Bukharin
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  22. Explanation-aware Soft Ensemble Empowers Large Language Model In-context Learning
    ACL 2024 ·
    Yue Yu
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  23. HYDRA: Model Factorization Framework for Black-Box LLM Personalization
    NeurIPS 2024 ·
    Yuchen Zhuang
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  24. Knowledge Distillation with Perturbed Loss: From a Vanilla Teacher to a Proxy Teacher
    SIGKDD 2024 ·
    Rongzhi Zhang
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  25. PLaD: Preference-based Large Language Model Distillation with Pseudo-Preference Pairs
    ACL 2024 ·
    Rongzhi Zhang
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  26. POLYIE: A Dataset of Information Extraction from Polymer Material Scientific Literature
    NAACL 2024 ·
    Jerry Junyang Cheung
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  27. ProgGen: Generating Named Entity Recognition Datasets Step-by-step with Self-Reflexive Large Language Models
    ACL 2024 ·
    Yuzhao Heng
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  28. Time-MMD: Multi-Domain Multimodal Dataset for Time Series Analysis
    NeurIPS 2024 ·
    Haoxin Liu
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  29. Time-Series Forecasting for Out-of-Distribution Generalization Using Invariant Learning
    ICML 2024 ·
    Haoxin Liu
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  30. ToolChain*: Efficient Action Space Navigation in Large Language Models with A* Search
    ICLR 2024 ·
    Yuchen Zhuang
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  31. Towards Modeling Uncertainties of Self-Explaining Neural Networks via Conformal Prediction
    AAAI 2024 ·
    Wei Qian
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  32. Two Birds with One Stone: Enhancing Uncertainty Quantification and Interpretability with Graph Functional Neural Process
    AISTATS 2024 ·
    Lingkai Kong
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