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ORCIDRachit Bansal
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2020 – today
- 2024
[c8]Rachit Bansal, Bidisha Samanta, Siddharth Dalmia, Nitish Gupta, Sriram Ganapathy, Abhishek Bapna, Prateek Jain, Partha Talukdar:
LLM Augmented LLMs: Expanding Capabilities through Composition. ICLR 2024- [i8]Rachit Bansal, Bidisha Samanta, Siddharth Dalmia, Nitish Gupta, Shikhar Vashishth, Sriram Ganapathy, Abhishek Bapna, Prateek Jain, Partha Talukdar:
LLM Augmented LLMs: Expanding Capabilities through Composition. CoRR abs/2401.02412 (2024) - 2023
- [c7]Jeevesh Juneja, Rachit Bansal, Kyunghyun Cho, João Sedoc, Naomi Saphra
:
Linear Connectivity Reveals Generalization Strategies. ICLR 2023 - 2022
- [j2]Danish Pruthi, Rachit Bansal, Bhuwan Dhingra, Livio Baldini Soares, Michael Collins, Zachary C. Lipton, Graham Neubig, William W. Cohen:
Evaluating Explanations: How Much Do Explanations from the Teacher Aid Students? Trans. Assoc. Comput. Linguistics 10: 359-375 (2022) - [c6]Jivat Neet Kaur, Sumit Bhatia, Milan Aggarwal, Rachit Bansal, Balaji Krishnamurthy:
LM-CORE: Language Models with Contextually Relevant External Knowledge. NAACL-HLT (Findings) 2022: 750-769 - [c5]Rachit Bansal, Milan Aggarwal, Sumit Bhatia, Jivat Neet Kaur, Balaji Krishnamurthy:
CoSe-Co: Text Conditioned Generative CommonSense Contextualizer. NAACL-HLT 2022: 1128-1143 - [c4]Rachit Bansal, Danish Pruthi, Yonatan Belinkov:
Measures of Information Reflect Memorization Patterns. NeurIPS 2022 - [i7]Jeevesh Juneja, Rachit Bansal, Kyunghyun Cho, João Sedoc, Naomi Saphra:
Linear Connectivity Reveals Generalization Strategies. CoRR abs/2205.12411 (2022) - [i6]Rachit Bansal, Milan Aggarwal, Sumit Bhatia, Jivat Neet Kaur, Balaji Krishnamurthy:
CoSe-Co: Text Conditioned Generative CommonSense Contextualizer. CoRR abs/2206.05706 (2022) - [i5]Jivat Neet Kaur, Sumit Bhatia, Milan Aggarwal, Rachit Bansal, Balaji Krishnamurthy:
LM-CORE: Language Models with Contextually Relevant External Knowledge. CoRR abs/2208.06458 (2022) - [i4]Rachit Bansal, Danish Pruthi, Yonatan Belinkov:
Measures of Information Reflect Memorization Patterns. CoRR abs/2210.09404 (2022) - 2021
- [j1]William Scott Paka, Rachit Bansal, Abhay Kaushik, Shubhashis Sengupta, Tanmoy Chakraborty:
Cross-SEAN: A cross-stitch semi-supervised neural attention model for COVID-19 fake news detection. Appl. Soft Comput. 107: 107393 (2021) - [c3]Rachit Bansal, Himanshu Choudhary, Ravneet Punia, Niko Schenk, Émilie Pagé-Perron, Jacob L. Dahl:
How Low is Too Low? A Computational Perspective on Extremely Low-Resource Languages. ACL (student) 2021: 44-59 - [c2]Rachit Bansal, William Scott Paka, Nidhi, Shubhashis Sengupta, Tanmoy Chakraborty:
Combining Exogenous and Endogenous Signals with a Semi-supervised Co-attention Network for Early Detection of COVID-19 Fake Tweets. PAKDD (1) 2021: 188-200 - [i3]William Scott Paka, Rachit Bansal, Abhay Kaushik, Shubhashis Sengupta, Tanmoy Chakraborty:
Cross-SEAN: A Cross-Stitch Semi-Supervised Neural Attention Model for COVID-19 Fake News Detection. CoRR abs/2102.08924 (2021) - [i2]Rachit Bansal, William Scott Paka, Nidhi, Shubhashis Sengupta, Tanmoy Chakraborty:
Combining exogenous and endogenous signals with a semi-supervised co-attention network for early detection of COVID-19 fake tweets. CoRR abs/2104.05321 (2021) - [i1]Rachit Bansal, Himanshu Choudhary, Ravneet Punia, Niko Schenk, Jacob L. Dahl, Émilie Pagé-Perron:
How Low is Too Low? A Computational Perspective on Extremely Low-Resource Languages. CoRR abs/2105.14515 (2021)
2010 – 2019
- 2018
- [c1]Mahesh P. Singh, Puneet Agarwal, Ashish Chaudhary, Gautam Shroff, Prerna Khurana, Mayur Patidar, Vivek Bisht, Rachit Bansal, Prateek Sachan, Rohit Kumar:
KNADIA: Enterprise KNowledge Assisted DIAlogue Systems Using Deep Learning. ICDE 2018: 1423-1434
Coauthor Index
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