A 32B LLM trained with progressive reinforcement learning on cold-start and user-feedback data fixes Go lint errors at 84.68% accuracy with 1.72% redundancy on a private ByteDance test set.
Evaluating large language models in class-level code generation,
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BitsAI-Fix: LLM-Driven Approach for Automated Lint Error Resolution in Practice
A 32B LLM trained with progressive reinforcement learning on cold-start and user-feedback data fixes Go lint errors at 84.68% accuracy with 1.72% redundancy on a private ByteDance test set.