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Yongmin Li

1 accepted papers

2024

DevEval: A Manually-Annotated Code Generation Benchmark Aligned with Real-World Code Repositories

ACL 2024findings

How to evaluate the coding abilities of Large Language Models (LLMs) remains an open question. We find that existing benchmarks are poorly aligned with real-world code repositories and are insufficient to evaluate the coding abilities of LLMs.To address the knowledge gap, we propose a new benchmark…