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From the 2 of 17 linked papers with an AI index.

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20242026
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cs.AI2026

MECA: A Mechanism-Centered Agent for Constructing Well-Specified and Valuable Mathematical Conjectures

Wentao Long, Yunfei Zhang, Chenyi Li +1

The paper introduces MECA, a multi‑agent system that generates precise mathematical conjectures by iteratively proposing and refining underlying reasoning mechanisms, with critic a…

cs.AI2026

ReasFlow: Assisting Reasoning-Centric Scientific Discovery in Applied Mathematics via a Knowledge-Based Multi-Agent System

Yutong He, Daibo Li, Guohong Li +15

ReasFlow is an autonomous multi‑agent system that leverages large language models to perform rigorous mathematical reasoning, retrieve relevant knowledge, and generate complete res…

cs.AI2026

CAM-Bench: A Benchmark for Computational and Applied Mathematics in Lean

Wentao Long, Yunfei Zhang, Chenyi Li +3

Formal theorem-proving benchmarks enable mechanically verifiable evaluation of mathematical reasoning in large language models. However, existing benchmarks mainly focus on Olympia…

cs.AI2026

MM-OptBench: A Solver-Grounded Benchmark for Multimodal Optimization Modeling

Zhong Li, Qi Huang, Yuxuan Zhu +6

Optimization modeling translates real decision-making problems into mathematical optimization models and solver-executable implementations. Although language models are increasingl…

cs.AI2025

SITA: A Framework for Structure-to-Instance Theorem Autoformalization

Chenyi Li, Wanli Ma, Zichen Wang +1

While large language models (LLMs) have shown progress in mathematical reasoning, they still face challenges in formalizing theorems that arise from instantiating abstract structur…

cs.AI2025

OptMATH: A Scalable Bidirectional Data Synthesis Framework for Optimization Modeling

Hongliang Lu, Zhonglin Xie, Yaoyu Wu +3

Despite the rapid development of large language models (LLMs), a fundamental challenge persists: the lack of high-quality optimization modeling datasets hampers LLMs' robust modeli…