Adam or Gauss-Newton? A Comparative Study In Terms of Basis Alignment and SGD Noise
Bingbin Liu*, Rachit Bansal*, Depen Morwani*, Nikhil Vyas, David Alvarez-Melis, Sham M Kakade


ICML (under review) 2026
The Art of Scaling Reinforcement Learning Compute for LLMs
Devvrit Khatri*, Lovish Madaan, Rishabh Tiwari, Rachit Bansal, Sai Surya Duvvuri, Manzil Zaheer, Inderjit S. Dhillon, David Brandfonbrener, Rishabh Agarwal


ICLR (Oral Presentation) 2026
Let's (not) just put things in Context: Test-Time Training for Long-Context LLMs
Rachit Bansal, Aston Zhang, Rishabh Tiwari, Lovish Madaan, Sai Surya Duvvuri, Devvrit Khatri, David Brandfonbrener, David Alvarez-Melis, Prajjwal Bhargava, Mihir Sanjay Kale, Samy Jelassi


ICLR 2026
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 2024
Measures of Information Reflect Memorization Patterns
Rachit Bansal, Danish Pruthi, Yonatan Belinkov


NeurIPS 2022
Linear Connectivity Reveals Generalization Strategies
Jeevesh Juneja, Rachit Bansal, Kyunghyun Cho, João Sedoc, Naomi Saphra


ICLR 2023
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
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
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
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