Applying RLAIF for Code Generation with API-usage in Lightweight LLMs

This paper was accepted at the Natural Language Reasoning and Structured Explanations workshop at ACL 2024.
Reinforcement Learning from AI Feedback (RLAIF) has demonstrated significant potential across various domains, including mitigating harm in LLM outputs, enhancing text summarization, and mathematical reasoning. This paper introduces an RLAIF framework for improving the code generation abilities of lightweight (Apple Machine Learning Research