AI RESEARCH
MTR-Bench: A Comprehensive Benchmark for Multi-Turn Reasoning Evaluation
arXiv CS.CL
•
ArXi:2505.17123v3 Announce Type: replace Recent advances in Large Language Models (LLMs) have shown promising results in complex reasoning tasks. However, current evaluations predominantly focus on single-turn reasoning scenarios, leaving interactive tasks largely unexplored. We attribute it to the absence of comprehensive datasets and scalable automatic evaluation protocols. To fill these gaps, we present MTR-Bench for LLMs' Multi-Turn Reasoning evaluation.