Papers by Meghali Banerjee

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Challenge:	Large language models (LLMs) are a promising way to bridge the gap between patient health literacy and access to care.
Approach:	They evaluate a range of open- and closed-source LLMs on a MeDiSumQA dataset . they propose a lightweight multi-agent framework for patient-oriented medical question answering .
Outcome:	The proposed model achieves lower FKGL than zero-shot GPT-5 and highest simplification quality among all models.