CHAI for LLMs: Improving Code-Mixed Translation in Large Language Models through Reinforcement Learning with AI Feedback
This work proposes CHAI, a general-purpose framework for enhancing LLM performance on CM tasks, focusing on CM translation, and incorporates LLM-generated domain knowledge as a constitution, enabling iterative response refinement.
Wen-Bo Zhang, Aditya Majumdar, A. Ekbal et al.
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