Bhawesh Kumar

According to our database, Bhawesh Kumar authored at least 8 papers between 2022 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2026

Towards Better Health Conversations: The Benefits of Context-seeking.

Rory Sayres, Yuexing Hao, Abbi Ward, Amy Wang, Beverly Freeman, Serena Zhan, Diego Ardila, Jimmy Li, I-Ching Lee, Anna Iurchenko, Siyi Kou, Kartikeya Badola, Jimmy Hu, Bhawesh Kumar, Keith Y. Johnson, Supriya Vijay, Justin Krogue, Avinatan Hassidim, Yossi Matias, Dale R. Webster, Sunny Virmani, Yun Liu, Quang Duong, Mike Schaekermann

Proceedings of the 2026 CHI Conference on Human Factors in Computing Systems, 2026

2025

The Geometry of Queries: Query-Based Innovations in Retrieval-Augmented Generation for Healthcare QA.

Eric Yang, Jonathan Amar, Jong Ha Lee, Bhawesh Kumar, Yugang Jia

Proceedings of the Machine Learning for Healthcare Conference (MLHC 2025), 2025

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

The Geometry of Queries: Query-Based Innovations in Retrieval-Augmented Generation.

Eric Yang, Jonathan Amar, Jong Ha Lee, Bhawesh Kumar, Yugang Jia

CoRR, 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

Proceedings of the Machine Learning for Healthcare Conference, 2024

Labrador: Exploring the limits of masked language modeling for laboratory data.

David R. Bellamy, Bhawesh Kumar, Cindy Wang, Andrew Beam

Proceedings of the Machine Learning for Health, 2024

2023

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

2022

Towards Reliable Zero Shot Classification in Self-Supervised Models with Conformal Prediction.

Bhawesh Kumar, Anil Palepu, Rudraksh Tuwani, Andrew Beam

CoRR, 2022