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Bhawesh Kumar

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2020 – today

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2024
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  - journals/corr/abs-2405-06093
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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)
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  - journals/corr/abs-2407-18044
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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)
2023
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  - journals/corr/abs-2305-18404
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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)
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  - journals/corr/abs-2312-11502
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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
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  - journals/corr/abs-2210-15805
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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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