Contrastive Perplexity: A new evaluation metric for sentence level language models. - Kushal Arora (CoRR, 2016)

A Compositional Approach to Language Modeling. - Kushal Arora; Anand Rangarajan 001 (CoRR, 2016)

Learning Lexical Subspaces in a Distributional Vector Space. - Kushal Arora; Aishik Chakraborty; Jackie Chi Kit Cheung (Trans. Assoc. Comput. Linguistics, 2020)

Why Exposure Bias Matters: An Imitation Learning Perspective of Error Accumulation in Language Generation. - Kushal Arora; Layla El Asri; Hareesh Bahuleyan; Jackie Chi Kit Cheung (ACL (Findings), 2022)

Lexi: Self-Supervised Learning of the UI Language. - Pratyay Banerjee; Shweti Mahajan; Kushal Arora; Chitta Baral; Oriana Riva (EMNLP (Findings), 2022)

Director: Generator-Classifiers For Supervised Language Modeling. - Kushal Arora; Kurt Shuster 001; Sainbayar Sukhbaatar; Jason Weston (AACL/IJCNLP (1), 2022)

BlenderBot 3: a deployed conversational agent that continually learns to responsibly engage. - Kurt Shuster 001; Jing Xu; Mojtaba Komeili; Da Ju; Eric Michael Smith; Stephen Roller; Megan Ung; Moya Chen; Kushal Arora; Joshua Lane; Morteza Behrooz; William Ngan; et al. (CoRR, 2022)

Learning New Skills after Deployment: Improving open-domain internet-driven dialogue with human feedback. - Jing Xu; Megan Ung; Mojtaba Komeili; Kushal Arora; Y-Lan Boureau; Jason Weston (ACL (1), 2023)

The Stable Entropy Hypothesis and Entropy-Aware Decoding: An Analysis and Algorithm for Robust Natural Language Generation. - Kushal Arora; Timothy J. O'Donnell; Doina Precup; Jason Weston; Jackie Chi Kit Cheung (CoRR, 2023)

DataComp-LM: In search of the next generation of training sets for language models. - Jeffrey Li; Alex Fang; Georgios Smyrnis; Maor Ivgi; Matt Jordan; Samir Yitzhak Gadre; Hritik Bansal; Etash Kumar Guha; Sedrick Scott Keh; Kushal Arora; Saurabh Garg; Rui Xin; et al. (NeurIPS, 2024)

A Critical Evaluation of AI Feedback for Aligning Large Language Models. - Archit Sharma; Sedrick Scott Keh; Eric Mitchell; Chelsea Finn; Kushal Arora; Thomas Kollar (NeurIPS, 2024)

Linearizing Large Language Models. - Jean Mercat; Igor Vasiljevic; Sedrick Keh; Kushal Arora; Achal Dave; Adrien Gaidon; Thomas Kollar (CoRR, 2024)

Should VLMs be Pre-trained with Image Data? - Sedrick Keh; Jean Mercat; Samir Yitzhak Gadre; Kushal Arora; Igor Vasiljevic; Benjamin Burchfiel; Shuran Song; Russ Tedrake; Thomas Kollar; Ludwig Schmidt; Achal Dave (ICLR, 2025)

OpenThoughts: Data Recipes for Reasoning Models. - Etash Kumar Guha; Ryan Marten; Sedrick Keh; Negin Raoof; Georgios Smyrnis; Hritik Bansal; Marianna Nezhurina; Jean Mercat; Trung Vu 002; Zayne Sprague; Ashima Suvarna; Benjamin Feuer; et al. (CoRR, 2025)

A Careful Examination of Large Behavior Models for Multitask Dexterous Manipulation. - TRI LBM Team; Jose A. Barreiros; Andrew Beaulieu; Aditya Bhat; Rick Cory; Eric Cousineau; Hongkai Dai; Ching-Hsin Fang; Kunimatsu Hashimoto; Muhammad Zubair Irshad; Masha Itkina; Naveen Kuppuswamy; et al. (CoRR, 2025)