Sep 3, 2024 · In this paper, we propose and evaluate a recursively dynamic temperature method integrated with a chain-of-thought approach. Our findings show ...

Sep 18, 2024 · While LLMs, like GPT-4, can handle some traditional medium-scale MIP problems, they struggle with uncommon or highly specialized MIP scenarios.

Sep 12, 2024 · Fine-tuning LLMs can yield some feasible solutions for medium-scale MIP instances, but these models typically fail to explore diverse solutions ...

Sep 18, 2024 · The paper presents a promising approach to leverage LLMs for solving MIP problems, especially in scenarios where traditional solvers struggle.

Sep 10, 2024 · Excited to share insights on leveraging Large Language Models for solving rare MIP challenges. Explore our latest blog post on arXiv ...

This paper, for the first time, explores the feasibility of adversarial attacking various downstream models fine-tuned from the segment anything model (SAM), by ...

Teaching-Inspired Integrated Prompting Framework: A Novel Approach for Enhancing Reasoning in Large Language Models.

Oct 10, 2024 · Leveraging Large Language Models for Solving Rare MIP Challenges. ... On Solving a Class of Continuous Traffic Equilibrium Problems and ...

In this paper, we propose a novel end-to-end feature compression scheme by leveraging the representation and learning capability of deep neural networks, ...

Co-authors ; Leveraging Large Language Models for Solving Rare MIP Challenges. T Wang, WY Yu, R She, W Yang, T Chen, J Zhang. arXiv preprint arXiv:2409.04464, ...