Analysis of 35k AI-referencing GitHub comments shows primary use for code implementation, with evolution toward conceptual support and sustained human refinement over time.
B ayesian Calibration of Win Rate Estimation with LLM Evaluators
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Empirical Study on the Characteristics and Evolution of AI-usage in GitHub Repositories: Evidence from Code Comments
Analysis of 35k AI-referencing GitHub comments shows primary use for code implementation, with evolution toward conceptual support and sustained human refinement over time.
- STABLEVAL: Disagreement-Aware and Stable Evaluation of AI Systems