一作ACL 2026Poster· Natural Language Processing
From Laboratory to Real-World Applications: Benchmarking Agentic Code Reasoning at the Repository Level
Jia Li · Yuxin Su · Michael R. Lyu
摘要
As large language models (LLMs) evolve into autonomous agents, evaluating repository-level reasoning, the ability to maintain logical consistency across massive, real-world, interdependent file systems, has become critical. Current benchmarks typically fluctuate between isolated code snippets and...