A naukri.com initiative
Arxiv
2d
31
Image Credit: Arxiv
CHAI for LLMs: Improving Code-Mixed Translation in Large Language Models through Reinforcement Learning with AI Feedback
- Large Language Models (LLMs) struggle with code-mixed language understanding despite their success in various NLP tasks.
- CHAI is introduced as a framework to enhance multilingual LLMs' capabilities in handling code-mixed languages.
- The framework involves using LLMs for accurate annotations, generating preference data, and employing reinforcement learning from AI feedback (RLAIF) for enhancement.
- Experimental evaluation demonstrates that CHAI-powered LLMs outperform existing models by 25.66% in code-mixed translation tasks, paving the way for more inclusive code-mixed LLMs.
Read Full Article
1 Like
For uninterrupted reading, download the app