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Publication search results
found 8 matches
- 2024
- 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) - 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
- Kumar Bhawesh, Debjani Mustafi:
A Comparison of Deep Learning and Machine Learning Models for Speech Emotion Recognition Using Multiple Features. ICCCNT 2023: 1-6 - 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) - 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
- Bhawesh Kumar Chaudhary, Sanjay Agrawal, Pranaba K. Mishro, Rutuparna Panda:
An Error Sensitive Fuzzy Clustering Technique for Mammogram Image Segmentation. ISDA (1) 2022: 297-307 - 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) - 2021
- Pranaba K. Mishro, Bhawesh Kumar Chaudhary, Sanjay Agrawal, Rutuparna Panda:
Brain MR Image Segmentation using a Fast Fuzzy Clustering Approach. ICCCNT 2021: 1-5
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