Bhawesh Kumar

11 papers A* 1Journal 7Unranked 3
YearRankTypeTitle / Venue / Authors
2026 A* conf
Towards Better Health Conversations: The Benefits of Context-seeking.
CHI
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
2025 — conf
The Geometry of Queries: Query-Based Innovations in Retrieval-Augmented Generation for Healthcare QA.
MLHC
Eric Yang, Jonathan Amar, Jong Ha Lee, Bhawesh Kumar, Yugang Jia
2025 J jnl
Towards Better Health Conversations: The Benefits of Context-seeking.
CoRR
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
2024 J jnl
From Barriers to Tactics: A Behavioral Science-Informed Agentic Workflow for Personalized Nutrition Coaching.
CoRR
Eric Yang, Tomas Garcia, Hannah Williams, Bhawesh Kumar, Martin Ramé, Eileen Rivera, Yiran Ma, Jonathan Amar, Caricia Catalani, Yugang Jia
2024 — conf
Labrador: Exploring the limits of masked language modeling for laboratory data.
ML4H@NeurIPS
David R. Bellamy, Bhawesh Kumar, Cindy Wang, Andrew Beam
2024 — conf
Selective Fine-tuning on LLM-labeled Data May Reduce Reliance on Human Annotation: A Case Study Using Schedule-of-Event Table Detection.
MLHC
Bhawesh Kumar, Jonathan Amar, Eric Yang, Nan Li, Yugang Jia
2024 J jnl
Selective Fine-tuning on LLM-labeled Data May Reduce Reliance on Human Annotation: A Case Study Using Schedule-of-Event Table Detection.
CoRR
Bhawesh Kumar, Jonathan Amar, Eric Yang, Nan Li, Yugang Jia
2024 J jnl
The Geometry of Queries: Query-Based Innovations in Retrieval-Augmented Generation.
CoRR
Eric Yang, Jonathan Amar, Jong Ha Lee, Bhawesh Kumar, Yugang Jia
2023 J jnl
Conformal Prediction with Large Language Models for Multi-Choice Question Answering.
CoRR
Bhawesh Kumar, Charlie Lu, Gauri Gupta, Anil Palepu, David R. Bellamy, Ramesh Raskar, Andrew Beam
2023 J jnl
Labrador: Exploring the Limits of Masked Language Modeling for Laboratory Data.
CoRR
David R. Bellamy, Bhawesh Kumar, Cindy Wang, Andrew Beam
2022 J jnl
Towards Reliable Zero Shot Classification in Self-Supervised Models with Conformal Prediction.
CoRR
Bhawesh Kumar, Anil Palepu, Rudraksh Tuwani, Andrew Beam