【第164期】CodeMonkeys：软件工程中一种test time compute方法
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CodeMonkeys: Scaling Test-Time Compute for Software Engineering
Summary
The "CodeMonkeys" paper introduces a system that improves large language model (LLM) performance on software engineering tasks by scaling test-time compute. This scaling is achieved by iteratively generating and testing code edits, both serially (more iterations per attempt) and in parallel (multiple attempts simultaneously). The system identifies relevant code context, generates candidate edits with accompanying tests, and selects the best edit through voting and a…
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