AI RESEARCH
Beyond Output Correctness: Benchmarking and Evaluating Large Language Model Reasoning in Coding Tasks
arXiv CS.AI
•
ArXi:2604.12379v1 Announce Type: cross Large language models (LLMs) increasingly rely on explicit reasoning to solve coding tasks, yet evaluating the quality of this reasoning remains challenging. Existing reasoning evaluators are not designed for coding, and current benchmarks focus primarily on code generation, leaving other coding tasks largely unexplored. We