Rachit Bansal
LLM Augmented LLMs: Expanding Capabilities through Composition
Rachit Bansal, Bidisha Samanta, Siddharth Dalmia, Nitish Gupta, Shikhar Vashishth, Sriram Ganapathy, Abhishek Bapna, Prateek Jain, Partha Talukdar
ICLR (under review) 2024
Paper
Measures of Information Reflect Memorization Patterns
Rachit Bansal, Danish Pruthi, Yonatan Belinkov
NeurIPS 2022
Paper Code
Linear Connectivity Reveals Generalization Strategies
Jeevesh Juneja, Rachit Bansal, Kyunghyun Cho, João Sedoc, Naomi Saphra
ICLR 2023
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Evaluating Explanations: How much do explanations from the teacher aid students?
Danish Pruthi, Rachit Bansal, Bhuwan Dhingra, Livio Baldini Soares, Michael Collins, Zachary C. Lipton, Graham Neubig, William W. Cohen
TACL 2021
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CoSe-Co: Text Conditioned Generative CommonSense Contextualizer for Language Models
Rachit Bansal, Milan Aggarwal, Sumit Bhatia, Jivat Neet Kaur, Balaji Krishnamurthy
CSKB AKBC 2021; NAACL 2022
Paper
No Need to Know Everything! Efficiently Augmenting Language Models With External Knowledge
Jivat Neet Kaur, Sumit Bhatia, Milan Aggarwal, Rachit Bansal, Balaji Krishnamurthy
CSKB AKBC 2021; NAACL (Findings) 2022
Paper
How Low is Too Low? A Computational Perspective on Extremely Low-Resource Languages
Rachit Bansal, Himanshu Choudhary, Ravneet Punia, Niko Schenk, Jacob L Dahl, Émilie Pagé-Perron
ACL SRW 2021
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Combining exogenous and endogenous signals with a semi-supervised co-attention network for early detection of COVID-19 fake tweets
Rachit Bansal, William Scott Paka, Shubhashis Sengupta, Tanmoy Chakraborty
PAKDD 2021
Paper
Cross-SEAN: A cross-stitch semi-supervised neural attention model for COVID-19 fake news detection
William Scott Paka, Rachit Bansal, Abhay Kaushik, Shubhashis Sengupta, Tanmoy Chakraborty
Applied Soft Computing 2021
Paper