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Bhawesh Kumar
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2020 – today
- 2024
- [i6]Bhawesh Kumar, Jonathan Amar, Eric Yang, Nan Li, Yugang Jia:
Selective Fine-tuning on LLM-labeled Data May Reduce Reliance on Human Annotation: A Case Study Using Schedule-of-Event Table Detection. CoRR abs/2405.06093 (2024) - [i5]Eric Yang, Jonathan Amar, Jong Ha Lee, Bhawesh Kumar, Yugang Jia:
The Geometry of Queries: Query-Based Innovations in Retrieval-Augmented Generation. CoRR abs/2407.18044 (2024) - [i4]Eric Yang, Tomas Garcia, Hannah Williams, Bhawesh Kumar, Martin Ramé, Eileen Rivera, Yiran Ma, Jonathan Amar, Caricia Catalani, Yugang Jia:
From Barriers to Tactics: A Behavioral Science-Informed Agentic Workflow for Personalized Nutrition Coaching. CoRR abs/2410.14041 (2024) - 2023
- [i3]Bhawesh Kumar, Charlie Lu, Gauri Gupta, Anil Palepu, David R. Bellamy, Ramesh Raskar, Andrew Beam:
Conformal Prediction with Large Language Models for Multi-Choice Question Answering. CoRR abs/2305.18404 (2023) - [i2]David R. Bellamy, Bhawesh Kumar, Cindy Wang, Andrew Beam:
Labrador: Exploring the Limits of Masked Language Modeling for Laboratory Data. CoRR abs/2312.11502 (2023) - 2022
- [i1]Bhawesh Kumar, Anil Palepu, Rudraksh Tuwani, Andrew Beam:
Towards Reliable Zero Shot Classification in Self-Supervised Models with Conformal Prediction. CoRR abs/2210.15805 (2022)
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last updated on 2024-11-26 21:44 CET by the dblp team
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