Cover Image

LLMs for Mathematical Modeling: Towards Bridging the Gap between Natural and Mathematical Languages

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Huang, Xuhan, Shen, Qingning, Hu, Yan, Gao, Anningzhe, Wang, Benyou
Format:	Preprint
Published:	2024
Subjects:	Artificial Intelligence Computation and Language
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

OVM, Outcome-supervised Value Models for Planning in Mathematical Reasoning
by: Yu, Fei, et al.
Published: (2023)

MultiMath: Bridging Visual and Mathematical Reasoning for Large Language Models
by: Peng, Shuai, et al.
Published: (2024)

CoD, Towards an Interpretable Medical Agent using Chain of Diagnosis
by: Chen, Junying, et al.
Published: (2024)

MathScale: Scaling Instruction Tuning for Mathematical Reasoning
by: Tang, Zhengyang, et al.
Published: (2024)

ModelingAgent: Bridging LLMs and Mathematical Modeling for Real-World Challenges
by: Qian, Cheng, et al.
Published: (2025)

Self-Instructed Derived Prompt Generation Meets In-Context Learning: Unlocking New Potential of Black-Box LLMs
by: Li, Zhuo, et al.
Published: (2024)

A Survey on Large Language Models for Mathematical Reasoning
by: Wang, Peng-Yuan, et al.
Published: (2025)

Towards Robust Mathematical Reasoning
by: Luong, Thang, et al.
Published: (2025)

Towards the Law of Capacity Gap in Distilling Language Models
by: Zhang, Chen, et al.
Published: (2023)

Towards Understanding Fine-Tuning Mechanisms of LLMs via Circuit Analysis
by: Wang, Xu, et al.
Published: (2025)

From Next-Token to Mathematics: The Learning Dynamics of Mathematical Reasoning in Language Models
by: Mishra, Shubhra, et al.
Published: (2024)

Benchmarking LLMs' Mathematical Reasoning with Unseen Random Variables Questions
by: Hong, Zijin, et al.
Published: (2025)

EchoX: Towards Mitigating Acoustic-Semantic Gap via Echo Training for Speech-to-Speech LLMs
by: Zhang, Yuhao, et al.
Published: (2025)

Teaching LLMs According to Their Aptitude: Adaptive Reasoning for Mathematical Problem Solving
by: Xu, Xin, et al.
Published: (2025)

Large Language Models for Mathematical Analysis
by: Chen, Ziye, et al.
Published: (2024)

Large Language Model enabled Mathematical Modeling
by: Zhang, Guoyun
Published: (2025)

Apollo: A Lightweight Multilingual Medical LLM towards Democratizing Medical AI to 6B People
by: Wang, Xidong, et al.
Published: (2024)

Distilling Mathematical Reasoning Capabilities into Small Language Models
by: Zhu, Xunyu, et al.
Published: (2024)

Exploring the Compositional Deficiency of Large Language Models in Mathematical Reasoning
by: Zhao, Jun, et al.
Published: (2024)

Autograding Mathematical Induction Proofs with Natural Language Processing
by: Zhao, Chenyan, et al.
Published: (2024)

An Investigation of Robustness of LLMs in Mathematical Reasoning: Benchmarking with Mathematically-Equivalent Transformation of Advanced Mathematical Problems
by: Hao, Yuren, et al.
Published: (2025)

Plug-in and Fine-tuning: Bridging the Gap between Small Language Models and Large Language Models
by: Kim, Kyeonghyun, et al.
Published: (2025)

Robust Search with Uncertainty-Aware Value Models for Language Model Reasoning
by: Yu, Fei, et al.
Published: (2025)

Olapa-MCoT: Enhancing the Chinese Mathematical Reasoning Capability of LLMs
by: Zhu, Shaojie, et al.
Published: (2023)

Assessing the Creativity of LLMs in Proposing Novel Solutions to Mathematical Problems
by: Ye, Junyi, et al.
Published: (2024)

Risk-Controlled Lean-as-Judge for Natural-Language Mathematical Reasoning
by: Bourigault, Pauline, et al.
Published: (2026)

Embedding Self-Correction as an Inherent Ability in Large Language Models for Enhanced Mathematical Reasoning
by: Gao, Kuofeng, et al.
Published: (2024)

Key-Point-Driven Mathematical Reasoning Distillation of Large Language Model
by: Zhu, Xunyu, et al.
Published: (2024)

Atoxia: Red-teaming Large Language Models with Target Toxic Answers
by: Du, Yuhao, et al.
Published: (2024)

Llemma: An Open Language Model For Mathematics
by: Azerbayev, Zhangir, et al.
Published: (2023)

HuatuoGPT-Vision, Towards Injecting Medical Visual Knowledge into Multimodal LLMs at Scale
by: Chen, Junying, et al.
Published: (2024)

SalaMAnder: Shapley-based Mathematical Expression Attribution and Metric for Chain-of-Thought Reasoning
by: Xin, Yue, et al.
Published: (2025)

Bridging the Language Gap: Dynamic Learning Strategies for Improving Multilingual Performance in LLMs
by: Kumar, Somnath, et al.
Published: (2023)

From Implicit to Explicit: Token-Efficient Logical Supervision for Mathematical Reasoning in LLMs
by: Wang, Shaojie, et al.
Published: (2026)

GAUSS: Benchmarking Structured Mathematical Skills for Large Language Models
by: Zhang, Yue, et al.
Published: (2025)

FineMath: A Fine-Grained Mathematical Evaluation Benchmark for Chinese Large Language Models
by: Liu, Yan, et al.
Published: (2024)

Unmasking Reasoning Processes: A Process-aware Benchmark for Evaluating Structural Mathematical Reasoning in LLMs
by: Zheng, Xiang, et al.
Published: (2026)

Can Vision Language Models Be Adaptive in Mathematics Education? A Learner Model-based Rubric Study
by: Gao, Jie, et al.
Published: (2026)

DeepSeekMath-V2: Towards Self-Verifiable Mathematical Reasoning
by: Shao, Zhihong, et al.
Published: (2025)

Towards Autonomous Mathematics Research
by: Feng, Tony, et al.
Published: (2026)