Prajjwal Bhargava

According to our database, Prajjwal Bhargava authored at least 13 papers between 2018 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

Correlating and Predicting Human Evaluations of Language Models from Natural Language Processing Benchmarks.

Rylan Schaeffer, Punit Singh Koura, Binh Tang, Ranjan Subramanian, Aaditya K. Singh, Todor Mihaylov, Prajjwal Bhargava, Lovish Madaan, Niladri S. Chatterji, Vedanuj Goswami, Sergey Edunov, Dieuwke Hupkes, Sanmi Koyejo, Sharan Narang

CoRR, February, 2025

BTS: Harmonizing Specialized Experts into a Generalist LLM.

Qizhen Zhang, Prajjwal Bhargava, Chloe Bi, Chris X. Cai, Jakob N. Foerster, Jeremy Fu, Punit Singh Koura, Ruan Silva, Sheng Shen, Emily Dinan, Suchin Gururangan, Mike Lewis

CoRR, February, 2025

2024

Effective Long-Context Scaling of Foundation Models.

Wenhan Xiong, Jingyu Liu, Igor Molybog, Hejia Zhang, Prajjwal Bhargava, Rui Hou, Louis Martin, Rashi Rungta, Karthik Abinav Sankararaman, Barlas Oguz, Madian Khabsa, Han Fang, Yashar Mehdad, Sharan Narang, Kshitiz Malik, Angela Fan, Shruti Bhosale, Sergey Edunov, Mike Lewis, Sinong Wang, Hao Ma

Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers), 2024

When should we prefer Decision Transformers for Offline Reinforcement Learning?

Prajjwal Bhargava, Rohan Chitnis, Alborz Geramifard, Shagun Sodhani, Amy Zhang

Proceedings of the Twelfth International Conference on Learning Representations, 2024

2023

Llama 2: Open Foundation and Fine-Tuned Chat Models.

Hugo Touvron, Louis Martin, Kevin Stone, Peter Albert, Amjad Almahairi, Yasmine Babaei, Nikolay Bashlykov, Soumya Batra, Prajjwal Bhargava, Shruti Bhosale, Dan Bikel, Lukas Blecher, Cristian Canton-Ferrer, Moya Chen, Guillem Cucurull, David Esiobu, Jude Fernandes, Jeremy Fu, Wenyin Fu, Brian Fuller, Cynthia Gao, Vedanuj Goswami, Naman Goyal, Anthony Hartshorn, Saghar Hosseini, Rui Hou, Hakan Inan, Marcin Kardas, Viktor Kerkez, Madian Khabsa, Isabel Kloumann, Artem Korenev, Punit Singh Koura, Marie-Anne Lachaux, Thibaut Lavril, Jenya Lee, Diana Liskovich, Yinghai Lu, Yuning Mao, Xavier Martinet, Todor Mihaylov, Pushkar Mishra, Igor Molybog, Yixin Nie, Andrew Poulton, Jeremy Reizenstein, Rashi Rungta, Kalyan Saladi, Alan Schelten, Ruan Silva, Eric Michael Smith, Ranjan Subramanian, Xiaoqing Ellen Tan, Binh Tang, Ross Taylor, Adina Williams, Jian Xiang Kuan, Puxin Xu, Zheng Yan, Iliyan Zarov, Yuchen Zhang, Angela Fan, Melanie Kambadur, Sharan Narang, Aurélien Rodriguez, Robert Stojnic, Sergey Edunov, Thomas Scialom

CoRR, 2023

Sequence Modeling is a Robust Contender for Offline Reinforcement Learning.

Prajjwal Bhargava, Rohan Chitnis, Alborz Geramifard, Shagun Sodhani, Amy Zhang

CoRR, 2023

AUTODIAL: Efficient Asynchronous Task-Oriented Dialogue Model.

Prajjwal Bhargava, Pooyan Amini, Shahin Shayandeh, Chinnadhurai Sankar

CoRR, 2023

2022

DiscoSense: Commonsense Reasoning with Discourse Connectives.

Prajjwal Bhargava, Vincent Ng

Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

Commonsense Knowledge Reasoning and Generation with Pre-trained Language Models: A Survey.

Prajjwal Bhargava, Vincent Ng

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021

Generalization in NLI: Ways (Not) To Go Beyond Simple Heuristics.

Prajjwal Bhargava, Aleksandr Drozd, Anna Rogers

CoRR, 2021

2020

Adaptive Transformers for Learning Multimodal Representations.

Prajjwal Bhargava

Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics: Student Research Workshop, 2020

2019

On Generalizing Detection Models for Unconstrained Environments.

Prajjwal Bhargava

Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision Workshops, 2019

2018

Incremental Learning in Person Re-Identification.

Prajjwal Bhargava

CoRR, 2018