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Xiongwei Han

Observed name: Han, Xiongwei
OpenAlex ID: A5011272312
A Survey of Optimization Modeling Meets LLMs: Progress and Future Directions
2025 · Ziyang Xiao, Jingrong Xie, et al. · International Joint Conference on Artificial Intelligence · 6
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LaTeX2Solver: a Hierarchical Semantic Parsing of LaTeX Document into Code for an Assistive Optimization Modeling Application
2023 · Rindra Ramamonjison, Timothy Yu, et al. · Proceedings of the conference - Association for Computational Linguistics. Meeting · 5
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DQ-LoRe: Dual Queries with Low Rank Approximation Re-ranking for In-Context Learning
2023 · Xiong, Jing, Li, Zixuan, et al. · arXiv (Cornell University) · 4
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BPP-Search: Enhancing Tree of Thought Reasoning for Mathematical Modeling Problem Solving
2025 · Teng Wang, Wing Yin Yu, et al. · Proceedings of the conference - Association for Computational Linguistics. Meeting · 2
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LoRE-Merging: Exploring Low-Rank Estimation For Large Language Model Merging
2025 · Zehua Liu, Han Wu, et al. · Findings of the Association for Computational Linguistics: EMNLP (Findings of EMNLP) · 1
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Activation-Guided Consensus Merging for Large Language Models
2025 · Yuxuan Yao, Shuqi LIU, et al. · neural information processing systems · 1
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ORAgentBench: Can LLM Agents Solve Challenging Operations Research Tasks End to End?
2026 · Li, Jiajun, Cai, Mingshu, et al. · arXiv (Cornell University)
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Automated Optimization Modeling via a Localizable Error-Driven Perspective
2026 · Liu, Weiting, Wu, Han, et al. · arXiv (Cornell University)
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277 - DeepOR: A Deep Reasoning Foundation Model for Optimization Modeling
2026 · Association for Artificial Intelligence 2026, Chen, Gang, et al. · Underline Science Inc.
DeepOR: A Deep Reasoning Foundation Model for Optimization Modeling
2026 · Association for Artificial Intelligence 2026, Chen, Gang, et al. · Underline Science Inc.
REG: A Regularization Optimizer for Robust Training Dynamics
2025 · Liu, Zehua, Wu, Han, et al. · arXiv (Cornell University)
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SAC-Opt: Semantic Anchors for Iterative Correction in Optimization Modeling
2025 · Zhang, Yansen, Kang, Qingcan, et al. · arXiv (Cornell University)
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Fast and Interpretable Mixed-Integer Linear Program Solving by Learning Model Reduction
2025 · Yixuan Li, Can Chen, et al. · Proceedings of the AAAI Conference on Artificial Intelligence
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MoLAE: Mixture of Latent Experts for Parameter-Efficient Language Models
2025 · Liu, Zehua, Wu, Han, et al. · arXiv (Cornell University)
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Unlocking Efficient Long-to-Short LLM Reasoning with Model Merging
2025 · Wu, Han, Yao, Yuxuan, et al. · arXiv (Cornell University)
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1bit-Merging: Dynamic Quantized Merging for Large Language Models
2025 · Liu, Shuqi, Yao, Yuxuan, et al. · arXiv (Cornell University)
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Decision Information Meets Large Language Models: The Future of Explainable Operations Research
2025 · Zhang, Yansen, Kang, Qingcan, et al. · arXiv (Cornell University)
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BPP-Search: Enhancing Tree of Thought Reasoning for Mathematical Modeling Problem Solving
2024 · Wang, Teng, Yu, Wing-Yin, et al. · arXiv (Cornell University)
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Determine-Then-Ensemble: Necessity of Top-k Union for Large Language Model Ensembling
2024 · Yao, Yuxuan, Wu, Han, et al. · arXiv (Cornell University)
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Large Language Models are Good Multi-lingual Learners : When LLMs Meet Cross-lingual Prompts
2024 · Wang, Teng, He, Zhenqi, et al. · arXiv (Cornell University)
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A Survey of Optimization Modeling Meets LLMs: Progress and Future Directions
2024 · Ziyang Xiao, Jingrong Xie, et al. · International Joint Conference on Artificial Intelligence
Enhancing LLM Reasoning via Vision-Augmented Prompting
2024 · Ziyang Xiao, Dongxiang Zhang, et al. · neural information processing systems
Works count: 26
Citation count: 19
H-index: 3
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