Xiongwei Han

According to our database, Xiongwei Han authored at least 20 papers between 2021 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

A Survey of Optimization Modeling Meets LLMs: Progress and Future Directions.

Ziyang Xiao, Jingrong Xie, Lilin Xu, Shisi Guan, Jingyan Zhu, Xiongwei Han, Xiaojin Fu, WingYin Yu, Han Wu, Wei Shi, Qingcan Kang, Jiahui Duan, Tao Zhong, Mingxuan Yuan, Jia Zeng, Yuan Wang, Gang Chen, Dongxiang Zhang

CoRR, August, 2025

Activation-Guided Consensus Merging for Large Language Models.

Yuxuan Yao, Shuqi Liu, Zehua Liu, Qintong Li, Mingyang Liu, Xiongwei Han, Zhijiang Guo, Han Wu, Linqi Song

CoRR, May, 2025

Beyond Standard MoE: Mixture of Latent Experts for Resource-Efficient Language Models.

Zehua Liu, Han Wu, Ruifeng She, Xiaojin Fu, Xiongwei Han, Tao Zhong, Mingxuan Yuan

CoRR, March, 2025

Unlocking Efficient Long-to-Short LLM Reasoning with Model Merging.

Han Wu, Yuxuan Yao, Shuqi Liu, Zehua Liu, Xiaojin Fu, Xiongwei Han, Xing Li, Hui-Ling Zhen, Tao Zhong, Mingxuan Yuan

CoRR, March, 2025

LoRE-Merging: Exploring Low-Rank Estimation For Large Language Model Merging.

Zehua Liu, Han Wu, Yuxuan Yao, Ruifeng She, Xiongwei Han, Tao Zhong, Mingxuan Yuan

CoRR, February, 2025

1bit-Merging: Dynamic Quantized Merging for Large Language Models.

Shuqi Liu, Han Wu, Bowei He, Zehua Liu, Xiongwei Han, Mingxuan Yuan, Linqi Song

CoRR, February, 2025

Decision Information Meets Large Language Models: The Future of Explainable Operations Research.

Yansen Zhang, Qingcan Kang, Wing Yin Yu, Hailei Gong, Xiaojin Fu, Xiongwei Han, Tao Zhong, Chen Ma

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

Determine-Then-Ensemble: Necessity of Top-k Union for Large Language Model Ensembling.

Yuxuan Yao, Han Wu, Mingyang Liu, Sichun Luo, Xiongwei Han, Jie Liu, Zhijiang Guo, Linqi Song

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

OptiBench Meets ReSocratic: Measure and Improve LLMs for Optimization Modeling.

Zhicheng Yang, Yiwei Wang, Yinya Huang, Zhijiang Guo, Wei Shi, Xiongwei Han, Liang Feng, Linqi Song, Xiaodan Liang, Jing Tang

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

Large Language Models are good multi-lingual learners : When LLMs meet cross-lingual prompts.

Teng Wang, Zhenqi He, Wing-Yin Yu, Xiaojin Fu, Xiongwei Han

Proceedings of the 31st International Conference on Computational Linguistics, 2025

BPP-Search: Enhancing Tree of Thought Reasoning for Mathematical Modeling Problem Solving.

Teng Wang, Wing Yin Yu, Zhenqi He, Zehua Liu, HaileiGong HaileiGong, Han Wu, Xiongwei Han, Wei Shi, Ruifeng She, Fangzhou Zhu, Tao Zhong

Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2025

Sens-Merging: Sensitivity-Guided Parameter Balancing for Merging Large Language Models.

Shuqi Liu, Han Wu, Bowei He, Xiongwei Han, Mingxuan Yuan, Linqi Song

Proceedings of the Findings of the Association for Computational Linguistics, 2025

Fast and Interpretable Mixed-Integer Linear Program Solving by Learning Model Reduction.

Yixuan Li, Can Chen, Jiajun Li, Jiahui Duan, Xiongwei Han, Tao Zhong, Vincent Chau, Weiwei Wu, Wanyuan Wang

Proceedings of the AAAI-25, Sponsored by the Association for the Advancement of Artificial Intelligence, February 25, 2025

2024

BPP-Search: Enhancing Tree of Thought Reasoning for Mathematical Modeling Problem Solving.

Teng Wang, Wing-Yin Yu, Zhenqi He, Zehua Liu, Xiongwei Han, Hailei Gong, Han Wu, Wei Shi, Ruifeng She, Fangzhou Zhu, Tao Zhong

CoRR, 2024

Enhancing LLM Reasoning via Vision-Augmented Prompting.

Ziyang Xiao, Dongxiang Zhang, Xiongwei Han, Xiaojin Fu, Wing Yin Yu, Tao Zhong, Sai Wu, Yuan Wang, Jianwei Yin, Gang Chen

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

DQ-LoRe: Dual Queries with Low Rank Approximation Re-ranking for In-Context Learning.

Jing Xiong, Zixuan Li, Chuanyang Zheng, Zhijiang Guo, Yichun Yin, Enze Xie, Zhicheng Yang, Qingxing Cao, Haiming Wang, Xiongwei Han, Jing Tang, Chengming Li, Xiaodan Liang

Proceedings of the Twelfth International Conference on Learning Representations, 2024

Chain-of-Experts: When LLMs Meet Complex Operations Research Problems.

Ziyang Xiao, Dongxiang Zhang, Yangjun Wu, Lilin Xu, Yuan Jessica Wang, Xiongwei Han, Xiaojin Fu, Tao Zhong, Jia Zeng, Mingli Song, Gang Chen

Proceedings of the Twelfth International Conference on Learning Representations, 2024

Towards Human-aligned Evaluation for Linear Programming Word Problems.

Linzi Xing, Xinglu Wang, Yuxi Feng, Zhenan Fan, Jing Xiong, Zhijiang Guo, Xiaojin Fu, Rindra Ramamonjison, Mahdi Mostajabdaveh, Xiongwei Han, Zirui Zhou, Yong Zhang

Proceedings of the 2024 Joint International Conference on Computational Linguistics, 2024

2023

LaTeX2Solver: a Hierarchical Semantic Parsing of LaTeX Document into Code for an Assistive Optimization Modeling Application.

Rindra Ramamonjison, Timothy T. L. Yu, Linzi Xing, Mahdi Mostajabdaveh, Xiaorui Li, Xiaojin Fu, Xiongwei Han, Yuanzhe Chen, Ren Li, Kun Mao, Yong Zhang

Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics: System Demonstrations, 2023

2021

Grassland: A Rapid Algebraic Modeling System for Million-variable Optimization.

Xihan Li, Xiongwei Han, Zhishuo Zhou, Mingxuan Yuan, Jia Zeng, Jun Wang

Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021