Prajjwal Bhargava

20 papers A* 4Journal 13Unranked 3
YearRankTypeTitle / Venue / Authors
2025 A* conf
BTS: Harmonizing Specialized Experts into a Generalist LLM.
EMNLP
Qizhen Zhang, Prajjwal Bhargava, Chloe Bi, Chris X. Cai, Jakob Nicolaus Foerster, Jeremy Fu, Punit Singh Koura, Ruan Silva, Sheng Shen, Emily Dinan, Suchin Gururangan, Mike Lewis
2025 J jnl
BTS: Harmonizing Specialized Experts into a Generalist LLM.
CoRR
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
2025 J jnl
Correlating and Predicting Human Evaluations of Language Models from Natural Language Processing Benchmarks.
CoRR
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
2025 J jnl
Let's (not) just put things in Context: Test-Time Training for Long-Context LLMs.
CoRR
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
2024 — conf
Effective Long-Context Scaling of Foundation Models.
NAACL-HLT
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
2024 A* conf
When should we prefer Decision Transformers for Offline Reinforcement Learning?
ICLR
Prajjwal Bhargava, Rohan Chitnis, Alborz Geramifard, Shagun Sodhani, Amy Zhang
2023 J jnl
AUTODIAL: Efficient Asynchronous Task-Oriented Dialogue Model.
CoRR
Prajjwal Bhargava, Pooyan Amini, Shahin Shayandeh, Chinnadhurai Sankar
2023 J jnl
Effective Long-Context Scaling of Foundation Models.
CoRR
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
2023 J jnl
Llama 2: Open Foundation and Fine-Tuned Chat Models.
CoRR
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
2023 J jnl
Sequence Modeling is a Robust Contender for Offline Reinforcement Learning.
CoRR
Prajjwal Bhargava, Rohan Chitnis, Alborz Geramifard, Shagun Sodhani, Amy Zhang
2022 A* conf
Commonsense Knowledge Reasoning and Generation with Pre-trained Language Models: A Survey.
AAAI
Prajjwal Bhargava, Vincent Ng
2022 J jnl
Commonsense Knowledge Reasoning and Generation with Pre-trained Language Models: A Survey.
CoRR
Prajjwal Bhargava, Vincent Ng
2022 A* conf
DiscoSense: Commonsense Reasoning with Discourse Connectives.
EMNLP
Prajjwal Bhargava, Vincent Ng
2022 J jnl
DiscoSense: Commonsense Reasoning with Discourse Connectives.
CoRR
Prajjwal Bhargava, Vincent Ng
2021 J jnl
Generalization in NLI: Ways (Not) To Go Beyond Simple Heuristics.
CoRR
Prajjwal Bhargava, Aleksandr Drozd, Anna Rogers
2020 — conf
Adaptive Transformers for Learning Multimodal Representations.
ACL (student)
Prajjwal Bhargava
2020 J jnl
Adaptive Transformers for Learning Multimodal Representations.
CoRR
Prajjwal Bhargava
2019 — conf
On Generalizing Detection Models for Unconstrained Environments.
ICCV Workshops
Prajjwal Bhargava
2019 J jnl
On Generalizing Detection Models for Unconstrained Environments.
CoRR
Prajjwal Bhargava
2018 J jnl
Incremental Learning in Person Re-Identification.
CoRR
Prajjwal Bhargava