Papers with small-scale LM

1 papers
RePair: Automated Program Repair with Process-based Feedback (2024.findings-acl)

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Challenge: Commercial-scale language models (LMs) have taken APR to unprecedented levels, but they are limited by parameters and humans interact with them through explicit prompts.
Approach: They propose a method that utilizes process supervision to improve program repair by allowing users to input feedback from compilers and test cases.
Outcome: The proposed method outperforms large outcome-based generation methods and is inspired by strategies used in programming competitions.

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