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Xiongwei Han

14 papers at tracked venues · 12 at CORE A* · active 2024–2026

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Venues

ICLR ×5NeurIPS ×3AAAI ×2ACL ×2EMNLP ×1IJCAI ×1

Frequent coauthors

Ziyang Xiao
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Yuxuan Yao
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Teng Wang
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Yansen Zhang
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Yixuan Li
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Zehua Liu
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Zhicheng Yang
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Haoyang Liu
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Shuqi Liu
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Jing Xiong
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Papers

  1. DeepOR: A Deep Reasoning Foundation Model for Optimization Modeling
    AAAI 2026 ·
    Ziyang Xiao
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  2. A Survey of Optimization Modeling Meets LLMs: Progress and Future Directions
    IJCAI 2025 ·
    Ziyang Xiao
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  3. Activation-Guided Consensus Merging for Large Language Models
    NeurIPS 2025 ·
    Yuxuan Yao
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  4. BPP-Search: Enhancing Tree of Thought Reasoning for Mathematical Modeling Problem Solving
    ACL 2025 ·
    Teng Wang
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  5. Decision Information Meets Large Language Models: The Future of Explainable Operations Research
    ICLR 2025 ·
    Yansen Zhang
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  6. Determine-Then-Ensemble: Necessity of Top-k Union for Large Language Model Ensembling
    ICLR 2025 ·
    Yuxuan Yao
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  7. Fast and Interpretable Mixed-Integer Linear Program Solving by Learning Model Reduction
    AAAI 2025 ·
    Yixuan Li
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  8. LoRE-Merging: Exploring Low-Rank Estimation For Large Language Model Merging
    EMNLP 2025 ·
    Zehua Liu
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  9. OptiBench Meets ReSocratic: Measure and Improve LLMs for Optimization Modeling
    ICLR 2025 ·
    Zhicheng Yang
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  10. OptiTree: Hierarchical Thoughts Generation with Tree Search for LLM Optimization Modeling
    NeurIPS 2025 ·
    Haoyang Liu
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  11. Sens-Merging: Sensitivity-Guided Parameter Balancing for Merging Large Language Models
    ACL 2025 ·
    Shuqi Liu
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  12. Chain-of-Experts: When LLMs Meet Complex Operations Research Problems
    ICLR 2024 ·
    Ziyang Xiao
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  13. DQ-LoRe: Dual Queries with Low Rank Approximation Re-ranking for In-Context Learning
    ICLR 2024 ·
    Jing Xiong
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  14. Enhancing LLM Reasoning via Vision-Augmented Prompting
    NeurIPS 2024 ·
    Ziyang Xiao
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