Tao Zhong

Affiliations:
  • Huawei, Huawei Technologies, Noah's Ark Lab, China


According to our database1, Tao Zhong authored at least 13 papers between 2024 and 2025.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Links

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Bibliography

2025
A Survey of Optimization Modeling Meets LLMs: Progress and Future Directions.
CoRR, August, 2025

Collab-Solver: Collaborative Solving Policy Learning for Mixed-Integer Linear Programming.
CoRR, August, 2025

Beyond Standard MoE: Mixture of Latent Experts for Resource-Efficient Language Models.
CoRR, March, 2025

Unlocking Efficient Long-to-Short LLM Reasoning with Model Merging.
CoRR, March, 2025

Automatic Operator-level Parallelism Planning for Distributed Deep Learning - A Mixed-Integer Programming Approach.
CoRR, March, 2025

LoRE-Merging: Exploring Low-Rank Estimation For Large Language Model Merging.
CoRR, February, 2025

Decision Information Meets Large Language Models: The Future of Explainable Operations Research.
Proceedings of the Thirteenth International Conference on Learning Representations, 2025

BPP-Search: Enhancing Tree of Thought Reasoning for Mathematical Modeling Problem Solving.
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.
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.
CoRR, 2024

Machine Learning Insides OptVerse AI Solver: Design Principles and Applications.
CoRR, 2024

Enhancing LLM Reasoning via Vision-Augmented Prompting.
Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

Chain-of-Experts: When LLMs Meet Complex Operations Research Problems.
Proceedings of the Twelfth International Conference on Learning Representations, 2024


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