Tao Zhong

According to our database, Tao Zhong authored at least 20 papers between 2024 and 2026.

Collaborative distances:

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

2026

Opt-Verifier: Unleashing the Power of LLMs for Optimization Modeling via Dual-Side Verification.

Haoyang Liu, Jie Wang, Boxuan Niu, Xiongwei Han, Yian Xu, Mingxuan Ye, Zijie Geng, Fangzhou Zhu, Tao Zhong, Mingxuan Yuan, Jianye Hao

CoRR, May, 2026

Automated Optimization Modeling via a Localizable Error-Driven Perspective.

Weiting Liu, Han Wu, Yufei Kuang, Xiongwei Han, Tao Zhong, Jianfeng Feng, Wenlian Lu

CoRR, February, 2026

RIFT: Repurposing Negative Samples via Reward-Informed Fine-Tuning.

Zehua Liu, Shuqi Liu, Tao Zhong, Mingxuan Yuan

CoRR, January, 2026

2025

Optimization Modeling via Semantic Anchored Alignment.

Yansen Zhang, Qingcan Kang, Yujie Chen, Yufei Wang, Xiongwei Han, Tao Zhong, Mingxuan Yuan, Chen Ma

CoRR, October, 2025

REG: A Regularization Optimizer for Robust Training Dynamics.

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

CoRR, October, 2025

Collab-Solver: Collaborative Solving Policy Learning for Mixed-Integer Linear Programming.

Siyuan Li, Yifan Yu, Yanchen Deng, Zhihao Zhang, Mengjing Chen, Fangzhou Zhu, Tao Zhong, Jianye Hao, Peng Liu, Bo An

CoRR, August, 2025

DHEvo: Data-Algorithm Based Heuristic Evolution for Generalizable MILP Solving.

Zhihao Zhang, Siyuan Li, Chenxi Li, Feifan Liu, Mengjing Chen, Kai Li, Tao Zhong, Bo An, Peng Liu

CoRR, July, 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

Automatic Operator-level Parallelism Planning for Distributed Deep Learning - A Mixed-Integer Programming Approach.

Ruifeng She, Bowen Pang, Kai Li, Zehua Liu, Tao Zhong

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

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

Proceedings of the Thirty-Fourth International Joint Conference on Artificial Intelligence, 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

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

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

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

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 Thirty-Ninth AAAI Conference on Artificial Intelligence, 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

Machine Learning Insides OptVerse AI Solver: Design Principles and Applications.

Xijun Li, Fangzhou Zhu, Hui-Ling Zhen, Weilin Luo, Meng Lu, Yimin Huang, Zhenan Fan, Zirui Zhou, Yufei Kuang, Zhihai Wang, Zijie Geng, Yang Li, Haoyang Liu, Zhiwu An, Muming Yang, Jianshu Li, Jie Wang, Junchi Yan, Defeng Sun, Tao Zhong, Yong Zhang, Jia Zeng, Mingxuan Yuan, Jianye Hao, Jun Yao, Kun Mao

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 37: Annual Conference on Neural Information Processing Systems 2024, 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