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Prajjwal Bhargava
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2020 – today
- 2024
- [c6]Prajjwal Bhargava, Rohan Chitnis, Alborz Geramifard, Shagun Sodhani, Amy Zhang:
When should we prefer Decision Transformers for Offline Reinforcement Learning? ICLR 2024 - [c5]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:
Effective Long-Context Scaling of Foundation Models. NAACL-HLT 2024: 4643-4663 - 2023
- [i10]Prajjwal Bhargava, Pooyan Amini, Shahin Shayandeh, Chinnadhurai Sankar:
AUTODIAL: Efficient Asynchronous Task-Oriented Dialogue Model. CoRR abs/2303.06245 (2023) - [i9]Prajjwal Bhargava, Rohan Chitnis, Alborz Geramifard, Shagun Sodhani, Amy Zhang:
Sequence Modeling is a Robust Contender for Offline Reinforcement Learning. CoRR abs/2305.14550 (2023) - [i8]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:
Llama 2: Open Foundation and Fine-Tuned Chat Models. CoRR abs/2307.09288 (2023) - [i7]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:
Effective Long-Context Scaling of Foundation Models. CoRR abs/2309.16039 (2023) - 2022
- [c4]Prajjwal Bhargava, Vincent Ng:
Commonsense Knowledge Reasoning and Generation with Pre-trained Language Models: A Survey. AAAI 2022: 12317-12325 - [c3]Prajjwal Bhargava, Vincent Ng:
DiscoSense: Commonsense Reasoning with Discourse Connectives. EMNLP 2022: 10295-10310 - [i6]Prajjwal Bhargava, Vincent Ng:
Commonsense Knowledge Reasoning and Generation with Pre-trained Language Models: A Survey. CoRR abs/2201.12438 (2022) - [i5]Prajjwal Bhargava, Vincent Ng:
DiscoSense: Commonsense Reasoning with Discourse Connectives. CoRR abs/2210.12478 (2022) - 2021
- [i4]Prajjwal Bhargava, Aleksandr Drozd, Anna Rogers:
Generalization in NLI: Ways (Not) To Go Beyond Simple Heuristics. CoRR abs/2110.01518 (2021) - 2020
- [c2]Prajjwal Bhargava
:
Adaptive Transformers for Learning Multimodal Representations. ACL (student) 2020: 1-7 - [i3]Prajjwal Bhargava:
Adaptive Transformers for Learning Multimodal Representations. CoRR abs/2005.07486 (2020)
2010 – 2019
- 2019
- [c1]Prajjwal Bhargava:
On Generalizing Detection Models for Unconstrained Environments. ICCV Workshops 2019: 4296-4301 - [i2]Prajjwal Bhargava:
On Generalizing Detection Models for Unconstrained Environments. CoRR abs/1909.13080 (2019) - 2018
- [i1]Prajjwal Bhargava:
Incremental Learning in Person Re-Identification. CoRR abs/1808.06281 (2018)
Coauthor Index
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