Shrimai Prabhumoye

According to our database, Shrimai Prabhumoye authored at least 40 papers between 2017 and 2024.

Collaborative distances:

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

2024

MIND: Math Informed syNthetic Dialogues for Pretraining LLMs.

Syeda Nahida Akter, Shrimai Prabhumoye, John Kamalu, Sanjeev Satheesh, Eric Nyberg, Mostofa Patwary, Mohammad Shoeybi, Bryan Catanzaro

CoRR, 2024

Data, Data Everywhere: A Guide for Pretraining Dataset Construction.

Jupinder Parmar, Shrimai Prabhumoye, Joseph Jennings, Bo Li, Aastha Jhunjhunwala, Zhilin Wang, Mostofa Patwary, Mohammad Shoeybi, Bryan Catanzaro

CoRR, 2024

Nemotron-4 340B Technical Report.

Bo Adler, Niket Agarwal, Ashwath Aithal, Dong H. Anh, Pallab Bhattacharya, Annika Brundyn, Jared Casper, Bryan Catanzaro, Sharon Clay, Jonathan M. Cohen, Sirshak Das, Ayush Dattagupta, Olivier Delalleau, Leon Derczynski, Yi Dong, Daniel Egert, Ellie Evans, Aleksander Ficek, Denys Fridman, Shaona Ghosh, Boris Ginsburg, Igor Gitman, Tomasz Grzegorzek, Robert Hero, Jining Huang, Vibhu Jawa, Joseph Jennings, Aastha Jhunjhunwala, John Kamalu, Sadaf Khan, Oleksii Kuchaiev, Patrick LeGresley, Hui Li, Jiwei Liu, Zihan Liu, Eileen Long, Ameya Sunil Mahabaleshwarkar, Somshubra Majumdar, James Maki, Miguel Martinez, Maer Rodrigues de Melo, Ivan Moshkov, Deepak Narayanan, Sean Narenthiran, Jesus Navarro, Phong Nguyen, Osvald Nitski, Vahid Noroozi, Guruprasad Nutheti, Christopher Parisien, Jupinder Parmar, Mostofa Patwary, Krzysztof Pawelec, Wei Ping, Shrimai Prabhumoye, Rajarshi Roy, Trisha Saar, Vasanth Rao Naik Sabavat, Sanjeev Satheesh, Jane Polak Scowcroft, Jason Sewall, Pavel Shamis, Gerald Shen, Mohammad Shoeybi, Dave Sizer, Misha Smelyanskiy, Felipe Soares, Makesh Narsimhan Sreedhar, Dan Su, Sandeep Subramanian, Shengyang Sun, Shubham Toshniwal, Hao Wang, Zhilin Wang, Jiaxuan You, Jiaqi Zeng, Jimmy Zhang, Jing Zhang, Vivienne Zhang, Yian Zhang, Chen Zhu

CoRR, 2024

AgentKit: Flow Engineering with Graphs, not Coding.

Yue Wu, Yewen Fan, So Yeon Min, Shrimai Prabhumoye, Stephen McAleer, Yonatan Bisk, Ruslan Salakhutdinov, Yuanzhi Li, Tom M. Mitchell

CoRR, 2024

Nemotron-4 15B Technical Report.

Jupinder Parmar, Shrimai Prabhumoye, Joseph Jennings, Mostofa Patwary, Sandeep Subramanian, Dan Su, Chen Zhu, Deepak Narayanan, Aastha Jhunjhunwala, Ayush Dattagupta, Vibhu Jawa, Jiwei Liu, Ameya Mahabaleshwarkar, Osvald Nitski, Annika Brundyn, James Maki, Miguel Martinez, Jiaxuan You, John Kamalu, Patrick LeGresley, Denys Fridman, Jared Casper, Ashwath Aithal, Oleksii Kuchaiev, Mohammad Shoeybi, Jonathan M. Cohen, Bryan Catanzaro

CoRR, 2024

LLM-Evolve: Evaluation for LLM's Evolving Capability on Benchmarks.

Jiaxuan You, Mingjie Liu, Shrimai Prabhumoye, Mostofa Patwary, Mohammad Shoeybi, Bryan Catanzaro

Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

Data, Data Everywhere: A Guide for Pretraining Dataset Construction.

Jupinder Parmar, Shrimai Prabhumoye, Joseph Jennings, Bo Liu, Aastha Jhunjhunwala, Zhilin Wang, Mostofa Patwary, Mohammad Shoeybi, Bryan Catanzaro

Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

2023

SPRING: GPT-4 Out-performs RL Algorithms by Studying Papers and Reasoning.

Yue Wu, Shrimai Prabhumoye, So Yeon Min, Yonatan Bisk, Ruslan Salakhutdinov, Amos Azaria, Tom M. Mitchell, Yuanzhi Li

CoRR, 2023

Plan, Eliminate, and Track - Language Models are Good Teachers for Embodied Agents.

Yue Wu, So Yeon Min, Yonatan Bisk, Ruslan Salakhutdinov, Amos Azaria, Yuanzhi Li, Tom M. Mitchell, Shrimai Prabhumoye

CoRR, 2023

Self-Refine: Iterative Refinement with Self-Feedback.

Aman Madaan, Niket Tandon, Prakhar Gupta, Skyler Hallinan, Luyu Gao, Sarah Wiegreffe, Uri Alon, Nouha Dziri, Shrimai Prabhumoye, Yiming Yang, Sean Welleck, Bodhisattwa Prasad Majumder, Shashank Gupta, Amir Yazdanbakhsh, Peter Clark

CoRR, 2023

AutoBiasTest: Controllable Sentence Generation for Automated and Open-Ended Social Bias Testing in Language Models.

Rafal Kocielnik, Shrimai Prabhumoye, Vivian Zhang, R. Michael Alvarez, Anima Anandkumar

CoRR, 2023

SPRING: Studying Papers and Reasoning to play Games.

Yue Wu, So Yeon Min, Shrimai Prabhumoye, Yonatan Bisk, Russ Salakhutdinov, Amos Azaria, Tom M. Mitchell, Yuanzhi Li

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Self-Refine: Iterative Refinement with Self-Feedback.

Aman Madaan, Niket Tandon, Prakhar Gupta, Skyler Hallinan, Luyu Gao, Sarah Wiegreffe, Uri Alon, Nouha Dziri, Shrimai Prabhumoye, Yiming Yang, Shashank Gupta, Bodhisattwa Prasad Majumder, Katherine Hermann, Sean Welleck, Amir Yazdanbakhsh, Peter Clark

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Context Generation Improves Open Domain Question Answering.

Dan Su, Mostofa Patwary, Shrimai Prabhumoye, Peng Xu, Ryan Prenger, Mohammad Shoeybi, Pascale Fung, Anima Anandkumar, Bryan Catanzaro

Proceedings of the Findings of the Association for Computational Linguistics: EACL 2023, 2023

Adding Instructions during Pretraining: Effective way of Controlling Toxicity in Language Models.

Shrimai Prabhumoye, Mostofa Patwary, Mohammad Shoeybi, Bryan Catanzaro

Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics, 2023

2022

Using DeepSpeed and Megatron to Train Megatron-Turing NLG 530B, A Large-Scale Generative Language Model.

Shaden Smith, Mostofa Patwary, Brandon Norick, Patrick LeGresley, Samyam Rajbhandari, Jared Casper, Zhun Liu, Shrimai Prabhumoye, George Zerveas, Vijay Korthikanti, Elton Zheng, Rewon Child, Reza Yazdani Aminabadi, Julie Bernauer, Xia Song, Mohammad Shoeybi, Yuxiong He, Michael Houston, Saurabh Tiwary, Bryan Catanzaro

CoRR, 2022

Can You Label Less by Using Out-of-Domain Data? Active & Transfer Learning with Few-shot Instructions.

Rafal Kocielnik, Sara Kangaslahti, Shrimai Prabhumoye, Meena Hari, R. Michael Alvarez, Anima Anandkumar

Proceedings of the Transfer Learning for Natural Language Processing Workshop, 2022

Evaluating Parameter Efficient Learning for Generation.

Peng Xu, Mostofa Patwary, Shrimai Prabhumoye, Virginia Adams, Ryan Prenger, Wei Ping, Nayeon Lee, Mohammad Shoeybi, Bryan Catanzaro

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

Multi-Stage Prompting for Knowledgeable Dialogue Generation.

Zihan Liu, Mostofa Patwary, Ryan Prenger, Shrimai Prabhumoye, Wei Ping, Mohammad Shoeybi, Bryan Catanzaro

Proceedings of the Findings of the Association for Computational Linguistics: ACL 2022, 2022

2021

Five sources of bias in natural language processing.

Dirk Hovy, Shrimai Prabhumoye

Lang. Linguistics Compass, 2021

Few-shot Instruction Prompts for Pretrained Language Models to Detect Social Biases.

Shrimai Prabhumoye, Rafal Kocielnik, Mohammad Shoeybi, Anima Anandkumar, Bryan Catanzaro

CoRR, 2021

CURIE: An Iterative Querying Approach for Reasoning About Situations.

Dheeraj Rajagopal, Aman Madaan, Niket Tandon, Yiming Yang, Shrimai Prabhumoye, Abhilasha Ravichander, Peter Clark, Eduard H. Hovy

CoRR, 2021

Focused Attention Improves Document-Grounded Generation.

Shrimai Prabhumoye, Kazuma Hashimoto, Yingbo Zhou, Alan W. Black, Ruslan Salakhutdinov

Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2021

Case Study: Deontological Ethics in NLP.

Shrimai Prabhumoye, Brendon Boldt, Ruslan Salakhutdinov, Alan W. Black

Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2021

2020

EIGEN: Event Influence GENeration using Pre-trained Language Models.

Aman Madaan, Dheeraj Rajagopal, Yiming Yang, Abhilasha Ravichander, Eduard H. Hovy, Shrimai Prabhumoye

CoRR, 2020

I love your chain mail! Making knights smile in a fantasy game world: Open-domain goal-oriented dialogue agents.

Shrimai Prabhumoye, Margaret Li, Jack Urbanek, Emily Dinan, Douwe Kiela, Jason Weston, Arthur Szlam

CoRR, 2020

Modeling Product Search Relevance in e-Commerce.

Rahul Radhakrishnan Iyer, Rohan Kohli, Shrimai Prabhumoye

CoRR, 2020

Exploring Controllable Text Generation Techniques.

Shrimai Prabhumoye, Alan W. Black, Ruslan Salakhutdinov

Proceedings of the 28th International Conference on Computational Linguistics, 2020

Topological Sort for Sentence Ordering.

Shrimai Prabhumoye, Ruslan Salakhutdinov, Alan W. Black

Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020

Politeness Transfer: A Tag and Generate Approach.

Aman Madaan, Amrith Setlur, Tanmay Parekh, Barnabás Póczos, Graham Neubig, Yiming Yang, Ruslan Salakhutdinov, Alan W. Black, Shrimai Prabhumoye

Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020

Generating Interactive Worlds with Text.

Angela Fan, Jack Urbanek, Pratik Ringshia, Emily Dinan, Emma Qian, Siddharth Karamcheti, Shrimai Prabhumoye, Douwe Kiela, Tim Rocktäschel, Arthur Szlam, Jason Weston

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019

"My Way of Telling a Story": Persona based Grounded Story Generation.

Shrimai Prabhumoye, Khyathi Raghavi Chandu, Ruslan Salakhutdinov, Alan W. Black

CoRR, 2019

The Second Conversational Intelligence Challenge (ConvAI2).

Emily Dinan, Varvara Logacheva, Valentin Malykh, Alexander H. Miller, Kurt Shuster, Jack Urbanek, Douwe Kiela, Arthur Szlam, Iulian Serban, Ryan Lowe, Shrimai Prabhumoye, Alan W. Black, Alexander I. Rudnicky, Jason D. Williams, Joelle Pineau, Mikhail Burtsev, Jason Weston

CoRR, 2019

Towards Content Transfer through Grounded Text Generation.

Shrimai Prabhumoye, Chris Quirk, Michel Galley

Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2019

Equity Beyond Bias in Language Technologies for Education.

Elijah Mayfield, Michael Madaio, Shrimai Prabhumoye, David Gerritsen, Brittany McLaughlin, Ezekiel Dixon-Román, Alan W. Black

Proceedings of the Fourteenth Workshop on Innovative Use of NLP for Building Educational Applications, 2019

Principled Frameworks for Evaluating Ethics in NLP Systems.

Shrimai Prabhumoye, Elijah Mayfield, Alan W. Black

Proceedings of the 2019 Workshop on Widening NLP@ACL 2019, Florence, Italy, July 28, 2019, 2019

2018

Style Transfer Through Multilingual and Feedback-Based Back-Translation.

Shrimai Prabhumoye, Yulia Tsvetkov, Alan W. Black, Ruslan Salakhutdinov

CoRR, 2018

A Dataset for Document Grounded Conversations.

Kangyan Zhou, Shrimai Prabhumoye, Alan W. Black

Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, Brussels, Belgium, October 31, 2018

Style Transfer Through Back-Translation.

Shrimai Prabhumoye, Yulia Tsvetkov, Ruslan Salakhutdinov, Alan W. Black

Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics, 2018

2017

Linguistic Markers of Influence in Informal Interactions.

Shrimai Prabhumoye, Samridhi Choudhary, Evangelia Spiliopoulou, Christopher Bogart, Carolyn P. Rosé, Alan W. Black

Proceedings of the Second Workshop on NLP and Computational Social Science, 2017