Rachit Bansal

I'm a PhD student at Harvard University. Previously, I was a pre-doctoral researcher at Google Research. I work on making language models more capable and efficient.

Publications

LLM Augmented LLMs: Expanding Capabilities through Composition

LLM Augmented LLMs: Expanding Capabilities through Composition

Rachit Bansal, Bidisha Samanta, Siddharth Dalmia, Nitish Gupta, Shikhar Vashishth, Sriram Ganapathy, Abhishek Bapna, Prateek Jain, P. Talukdar

International Conference on Learning Representations (ICLR) 2024

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Measures of Information Reflect Memorization Patterns

Measures of Information Reflect Memorization Patterns

Rachit Bansal, Danish Pruthi, Yonatan Belinkov

Neural Information Processing Systems (NeurIPS) 2022

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Linear Connectivity Reveals Generalization Strategies

Linear Connectivity Reveals Generalization Strategies

Jeevesh Juneja, Rachit Bansal, Kyunghyun Cho, João Sedoc, Naomi Saphra

International Conference on Learning Representations (ICLR) 2022

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CoSe-Co: Text Conditioned Generative CommonSense Contextualizer

CoSe-Co: Text Conditioned Generative CommonSense Contextualizer

Rachit Bansal, Milan Aggarwal, S. Bhatia, Jivat Neet Kaur, Balaji Krishnamurthy

North American Chapter of the Association for Computational Linguistics (NAACL) 2022

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LM-CORE: Language Models with Contextually Relevant External Knowledge

LM-CORE: Language Models with Contextually Relevant External Knowledge

Jivat Neet Kaur, S. Bhatia, Milan Aggarwal, Rachit Bansal, Balaji Krishnamurthy

North American Chapter of the Association for Computational Linguistics (NAACL) 2022

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How Low is Too Low? A Computational Perspective on Extremely Low-Resource Languages

How Low is Too Low? A Computational Perspective on Extremely Low-Resource Languages

Rachit Bansal, Himanshu Choudhary, Ravneet Punia, Niko Schenk, Jacob L Dahl, 'Emilie Pag'e-Perron

Annual Meeting of the Association for Computational Linguistics (ACL) 2021

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