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Abhinav Java

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Thinking Fair and Slow: On the Efficacy of Structured Prompts for Debiasing Language Models

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May 16, 2024
Shaz Furniturewala, Surgan Jandial, Abhinav Java, Pragyan Banerjee, Simra Shahid, Sumit Bhatia, Kokil Jaidka

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All Should Be Equal in the Eyes of Language Models: Counterfactually Aware Fair Text Generation

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Nov 09, 2023
Pragyan Banerjee, Abhinav Java, Surgan Jandial, Simra Shahid, Shaz Furniturewala, Balaji Krishnamurthy, Sumit Bhatia

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One-Shot Doc Snippet Detection: Powering Search in Document Beyond Text

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Sep 12, 2022
Abhinav Java, Shripad Deshmukh, Milan Aggarwal, Surgan Jandial, Mausoom Sarkar, Balaji Krishnamurthy

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Learning to Censor by Noisy Sampling

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Mar 23, 2022
Ayush Chopra, Abhinav Java, Abhishek Singh, Vivek Sharma, Ramesh Raskar

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AdaSplit: Adaptive Trade-offs for Resource-constrained Distributed Deep Learning

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Dec 02, 2021
Ayush Chopra, Surya Kant Sahu, Abhishek Singh, Abhinav Java, Praneeth Vepakomma, Vivek Sharma, Ramesh Raskar

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Improved Representation Learning for Session-based Recommendation

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Jul 04, 2021
Sai Mitheran, Abhinav Java, Surya Kant Sahu, Arshad Shaikh

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On The Connection of Benford's Law and Neural Networks

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Feb 05, 2021
Surya Kant Sahu, Abhinav Java, Arshad Shaikh

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