Towards Reliable Zero Shot Classification in Self-Supervised Models with Conformal Prediction. - Bhawesh Kumar; Anil Palepu; Rudraksh Tuwani; Andrew Beam (CoRR, 2022)

Conformal Prediction with Large Language Models for Multi-Choice Question Answering. - Bhawesh Kumar; Charlie Lu; Gauri Gupta; Anil Palepu; David R. Bellamy; Ramesh Raskar; Andrew Beam (CoRR, 2023)

Labrador: Exploring the limits of masked language modeling for laboratory data. - David R. Bellamy; Bhawesh Kumar; Cindy Wang; Andrew Beam (ML4H@NeurIPS, 2024)

Selective Fine-tuning on LLM-labeled Data May Reduce Reliance on Human Annotation: A Case Study Using Schedule-of-Event Table Detection. - Bhawesh Kumar; Jonathan Amar; Eric Yang; Nan Li; Yugang Jia (MLHC, 2024)

The Geometry of Queries: Query-Based Innovations in Retrieval-Augmented Generation. - Eric Yang; Jonathan Amar; Jong Ha Lee; Bhawesh Kumar; Yugang Jia (CoRR, 2024)

From Barriers to Tactics: A Behavioral Science-Informed Agentic Workflow for Personalized Nutrition Coaching. - Eric Yang; Tomas Garcia; Hannah Williams; Bhawesh Kumar; Martin Ramé; Eileen Rivera; Yiran Ma; Jonathan Amar; Caricia Catalani; Yugang Jia (CoRR, 2024)