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Makesh Narsimhan Sreedhar

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Evolving Domain Adaptation of Pretrained Language Models for Text Classification

Nov 16, 2023
Yun-Shiuan Chuang, Yi Wu, Dhruv Gupta, Rheeya Uppaal, Ananya Kumar, Luhang Sun, Makesh Narsimhan Sreedhar, Sijia Yang, Timothy T. Rogers, Junjie Hu

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HelpSteer: Multi-attribute Helpfulness Dataset for SteerLM

Nov 16, 2023
Zhilin Wang, Yi Dong, Jiaqi Zeng, Virginia Adams, Makesh Narsimhan Sreedhar, Daniel Egert, Olivier Delalleau, Jane Polak Scowcroft, Neel Kant, Aidan Swope, Oleksii Kuchaiev

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SteerLM: Attribute Conditioned SFT as an (User-Steerable) Alternative to RLHF

Oct 09, 2023
Yi Dong, Zhilin Wang, Makesh Narsimhan Sreedhar, Xianchao Wu, Oleksii Kuchaiev

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Prompt Learning for Domain Adaptation in Task-Oriented Dialogue

Nov 10, 2022
Makesh Narsimhan Sreedhar, Christopher Parisien

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Local Byte Fusion for Neural Machine Translation

May 23, 2022
Makesh Narsimhan Sreedhar, Xiangpeng Wan, Yu Cheng, Junjie Hu

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Learning Improvised Chatbots from Adversarial Modifications of Natural Language Feedback

Oct 15, 2020
Makesh Narsimhan Sreedhar, Kun Ni, Siva Reddy

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Towards Lifelong Self-Supervision For Unpaired Image-to-Image Translation

Mar 31, 2020
Victor Schmidt, Makesh Narsimhan Sreedhar, Mostafa ElAraby, Irina Rish

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