LLM-as-a-Judge Framework for Math Reasoning Evaluation
A new arXiv preprint (2604.22597) proposes an LLM-based evaluation framework for mathematical reasoning, replacing rigid symbolic comparison. The authors argue that current rule-based symbolic mathematics verification fails to handle diverse mathematical representations and solution formats. They identify failure cases in two popular frameworks, Lighteval and SimpleRL, and demonstrate how their flexible approach enables accurate evaluation across varied answer formats. The work aims to improve assessment of LLMs' logical reasoning and problem-solving capabilities.
Key facts
- arXiv:2604.22597
- Proposes LLM-based evaluation framework for math reasoning
- Replaces symbolic mathematics comparison
- Identifies failure cases in Lighteval and SimpleRL
- Aims to handle diverse mathematical representations
- Focuses on evaluating model-generated answers
- Assesses LLMs' logical reasoning and problem-solving
- Published as a new arXiv preprint
Entities
Institutions
- arXiv
- Lighteval
- SimpleRL