Saved in:
| Main Authors: | Zhang, Liang, Fu, Yu, Jin, Xinyi |
|---|---|
| Format: | Preprint |
| Published: |
2026
|
| Subjects: | |
| Online Access: | https://arxiv.org/abs/2603.25633 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Mathify: Evaluating Large Language Models on Mathematical Problem Solving Tasks
by: Anand, Avinash, et al.
Published: (2024)
by: Anand, Avinash, et al.
Published: (2024)
MathGLM-Vision: Solving Mathematical Problems with Multi-Modal Large Language Model
by: Yang, Zhen, et al.
Published: (2024)
by: Yang, Zhen, et al.
Published: (2024)
TeleMath: A Benchmark for Large Language Models in Telecom Mathematical Problem Solving
by: Colle, Vincenzo, et al.
Published: (2025)
by: Colle, Vincenzo, et al.
Published: (2025)
Token-Supervised Value Models for Enhancing Mathematical Problem-Solving Capabilities of Large Language Models
by: Lee, Jung Hyun, et al.
Published: (2024)
by: Lee, Jung Hyun, et al.
Published: (2024)
SMART: Self-Generating and Self-Validating Multi-Dimensional Assessment for LLMs' Mathematical Problem Solving
by: Hou, Yujie, et al.
Published: (2025)
by: Hou, Yujie, et al.
Published: (2025)
Mathematical Computation and Reasoning Errors by Large Language Models
by: Zhang, Liang, et al.
Published: (2025)
by: Zhang, Liang, et al.
Published: (2025)
LLM-ProS: Analyzing Large Language Models' Performance in Competitive Problem Solving
by: Hossain, Md Sifat, et al.
Published: (2025)
by: Hossain, Md Sifat, et al.
Published: (2025)
RM-PoT: Reformulating Mathematical Problems and Solving via Program of Thoughts
by: Zhang, Yu, et al.
Published: (2025)
by: Zhang, Yu, et al.
Published: (2025)
MathOdyssey: Benchmarking Mathematical Problem-Solving Skills in Large Language Models Using Odyssey Math Data
by: Fang, Meng, et al.
Published: (2024)
by: Fang, Meng, et al.
Published: (2024)
Do Large Language Models have Problem-Solving Capability under Incomplete Information Scenarios?
by: Chen, Yuyan, et al.
Published: (2024)
by: Chen, Yuyan, et al.
Published: (2024)
Reinforcement Learning Problem Solving with Large Language Models
by: Gholamian, Sina, et al.
Published: (2024)
by: Gholamian, Sina, et al.
Published: (2024)
Step-Wise Formal Verification for LLM-Based Mathematical Problem Solving
by: Zhou, Kuo, et al.
Published: (2025)
by: Zhou, Kuo, et al.
Published: (2025)
Comparing Human Expertise and Large Language Models Embeddings in Content Validity Assessment of Personality Tests
by: Milano, Nicola, et al.
Published: (2025)
by: Milano, Nicola, et al.
Published: (2025)
Computational Blueprints: Generating Isomorphic Mathematics Problems with Large Language Models
by: Kim, Jeong-Hoon, et al.
Published: (2025)
by: Kim, Jeong-Hoon, et al.
Published: (2025)
BPP-Search: Enhancing Tree of Thought Reasoning for Mathematical Modeling Problem Solving
by: Wang, Teng, et al.
Published: (2024)
by: Wang, Teng, et al.
Published: (2024)
Tracing Mathematical Proficiency Through Problem-Solving Processes
by: Park, Jungyang, et al.
Published: (2025)
by: Park, Jungyang, et al.
Published: (2025)
Paraphrase and Solve: Exploring and Exploiting the Impact of Surface Form on Mathematical Reasoning in Large Language Models
by: Zhou, Yue, et al.
Published: (2024)
by: Zhou, Yue, et al.
Published: (2024)
Tool-Augmented Hybrid Ensemble Reasoning with Distillation for Bilingual Mathematical Problem Solving
by: Lu, Peiqing, et al.
Published: (2025)
by: Lu, Peiqing, et al.
Published: (2025)
The Effect of Sampling Temperature on Problem Solving in Large Language Models
by: Renze, Matthew, et al.
Published: (2024)
by: Renze, Matthew, et al.
Published: (2024)
OR-Toolformer: Modeling and Solving Operations Research Problems with Tool Augmented Large Language Models
by: Zhang, Jianzhang, et al.
Published: (2025)
by: Zhang, Jianzhang, et al.
Published: (2025)
Plan before Solving: Problem-Aware Strategy Routing for Mathematical Reasoning with LLMs
by: Qi, Shihao, et al.
Published: (2025)
by: Qi, Shihao, et al.
Published: (2025)
Beyond Words: How Large Language Models Perform in Quantitative Management Problem-Solving
by: Kuzmanko, Jonathan
Published: (2025)
by: Kuzmanko, Jonathan
Published: (2025)
SAAS: Solving Ability Amplification Strategy for Enhanced Mathematical Reasoning in Large Language Models
by: Kim, Hyeonwoo, et al.
Published: (2024)
by: Kim, Hyeonwoo, et al.
Published: (2024)
Metacognitive Capabilities of LLMs: An Exploration in Mathematical Problem Solving
by: Didolkar, Aniket, et al.
Published: (2024)
by: Didolkar, Aniket, et al.
Published: (2024)
Look Before You Leap: Problem Elaboration Prompting Improves Mathematical Reasoning in Large Language Models
by: Liao, Haoran, et al.
Published: (2024)
by: Liao, Haoran, et al.
Published: (2024)
DART-Math: Difficulty-Aware Rejection Tuning for Mathematical Problem-Solving
by: Tong, Yuxuan, et al.
Published: (2024)
by: Tong, Yuxuan, et al.
Published: (2024)
Long-horizon Reasoning Agent for Olympiad-Level Mathematical Problem Solving
by: Gao, Songyang, et al.
Published: (2025)
by: Gao, Songyang, et al.
Published: (2025)
Large Language Model enabled Mathematical Modeling
by: Zhang, Guoyun
Published: (2025)
by: Zhang, Guoyun
Published: (2025)
Self-Specialization: Uncovering Latent Expertise within Large Language Models
by: Kang, Junmo, et al.
Published: (2023)
by: Kang, Junmo, et al.
Published: (2023)
MultiMath: Bridging Visual and Mathematical Reasoning for Large Language Models
by: Peng, Shuai, et al.
Published: (2024)
by: Peng, Shuai, et al.
Published: (2024)
Graph of Thoughts: Solving Elaborate Problems with Large Language Models
by: Besta, Maciej, et al.
Published: (2023)
by: Besta, Maciej, et al.
Published: (2023)
Graph of States: Solving Abductive Tasks with Large Language Models
by: Luo, Yu, et al.
Published: (2026)
by: Luo, Yu, et al.
Published: (2026)
EngiBench: A Benchmark for Evaluating Large Language Models on Engineering Problem Solving
by: Zhou, Xiyuan, et al.
Published: (2025)
by: Zhou, Xiyuan, et al.
Published: (2025)
Graph-of-Thought: Utilizing Large Language Models to Solve Complex and Dynamic Business Problems
by: Li, Ye
Published: (2024)
by: Li, Ye
Published: (2024)
Advancing Mathematical Reasoning in Language Models: The Impact of Problem-Solving Data, Data Synthesis Methods, and Training Stages
by: Chen, Zui, et al.
Published: (2025)
by: Chen, Zui, et al.
Published: (2025)
Solving General Natural-Language-Description Optimization Problems with Large Language Models
by: Zhang, Jihai, et al.
Published: (2024)
by: Zhang, Jihai, et al.
Published: (2024)
Has It All Been Solved? Open NLP Research Questions Not Solved by Large Language Models
by: Ignat, Oana, et al.
Published: (2023)
by: Ignat, Oana, et al.
Published: (2023)
Agent RL Scaling Law: Agent RL with Spontaneous Code Execution for Mathematical Problem Solving
by: Mai, Xinji, et al.
Published: (2025)
by: Mai, Xinji, et al.
Published: (2025)
Problem-Solving in Language Model Networks
by: Regan, Ciaran, et al.
Published: (2024)
by: Regan, Ciaran, et al.
Published: (2024)
Exploring Solution Divergence and Its Effect on Large Language Model Problem Solving
by: Li, Hang, et al.
Published: (2025)
by: Li, Hang, et al.
Published: (2025)
Similar Items
-
Mathify: Evaluating Large Language Models on Mathematical Problem Solving Tasks
by: Anand, Avinash, et al.
Published: (2024) -
MathGLM-Vision: Solving Mathematical Problems with Multi-Modal Large Language Model
by: Yang, Zhen, et al.
Published: (2024) -
TeleMath: A Benchmark for Large Language Models in Telecom Mathematical Problem Solving
by: Colle, Vincenzo, et al.
Published: (2025) -
Token-Supervised Value Models for Enhancing Mathematical Problem-Solving Capabilities of Large Language Models
by: Lee, Jung Hyun, et al.
Published: (2024) -
SMART: Self-Generating and Self-Validating Multi-Dimensional Assessment for LLMs' Mathematical Problem Solving
by: Hou, Yujie, et al.
Published: (2025)