Akshita Jha

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Akshita Jha is a Ph.D. in the Department of Computer Science. Her primary research interests lie in the area of fairness, accountability, and transparency in machine learning with applications in natural language processing and healthcare. Her advisor is Chandan Reddy.

Publications

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SeeGULL: A Stereotype Benchmark with Broad Geo-Cultural Coverage Leveraging Generative Models Date: Jul 08, 2023
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Transformer-based Models for Long-Form Document Matching: Challenges and Empirical Analysis Date: May 01, 2023
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Supervised Contrastive Learning for Interpretable Long-Form Document Matching Date: Feb 19, 2023

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Projects

In the News

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DAC Student Spotlight: Akshita Jha , article Date: Nov 05, 2020
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DAC students working virtually at summer internships across the country , article Date: Jun 29, 2020

Akshita Jha

Publications

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