Awesome-LLMs-for-Mathematical-Modeling

Projects

Date	Name	Author	Institute	Links	Published
2025-05	MM-Agent: LLM as Agents for Real-World Mathematical Modeling Problem	Fan Liu, Zherui Yang, et al.	HKUST, et al.		NeurIPS 2025
2025-05	ModelingAgent: Bridging LLMs and Mathematical Modeling for Real-World Challenges	Cheng Qian, Hongyi Du, et al.	UIUC, et al.		EMNLP (Findings) 2025
2025-05	MathModelAgent	Jihe	-		Code Release
2024-05	LLMs for Mathematical Modeling: Towards Bridging the Gap between Natural and Mathematical Languages	Xuhan Huang, Qingning Shen, et al.	CUHK(Shenzhen), et al.		NAACL (Findings) 2025
Coming Soon	LightningMathModel: Boosting Lightweight LLMs for Mathematical Modeling via Specialized Knowledge Training and Integration	-	2026-01

Benchmarks

Name	Paper / Project	Description
MMBench	MM-Agent	A benchmark for evaluating LLMs' capabilities in real-world mathematical modeling, covering problem formulation, variable definition, and solution analysis.
ModelingBench	ModelingAgent	A benchmark designed to assess LLMs' performance across the complete mathematical modeling pipeline, from problem understanding to model construction and evaluation.
Mamo	Mamo	A benchmark focusing on the gap between natural language problem descriptions and formal mathematical language, evaluating LLMs' ability in model formulation and symbolic reasoning.

Datasets

Name	Paper / Project	Links	Description
Mathematical_Modeling_Speciale_Dataset_v0.1	LightningMathModel (IDEA Research)		A specialized dataset for training and evaluating LLMs on mathematical modeling tasks, focusing on domain knowledge integration.