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Amulya Yadav

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#artificial intelligence Preprint Nov 2024

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. · 7 citations · ⚡1
Jul 2026

The Mirage of LLM Guardrails: A Case Study in AI-Assisted Medical Note Manipulation

A reproducible manipulation pipeline is developed that takes publicly available seed medical note templates and uses commercial LLMs to produce customized manipulated notes by substituting patient names, provider identities, dates, and medical conditions across multiple model families, input formats, and prompt phrasin...

Davis Yadav, Amulya Yadav · 0 citations

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