Linguistic Markers of Influence in Informal Interactions. - Shrimai Prabhumoye; Samridhi Choudhary; Evangelia Spiliopoulou; Christopher Bogart; Carolyn P. Rosé; Alan W. Black (NLP+CSS@ACL, 2017)

Style Transfer Through Back-Translation. - Shrimai Prabhumoye; Yulia Tsvetkov; Ruslan Salakhutdinov; Alan W. Black (ACL (1), 2018)

A Dataset for Document Grounded Conversations. - Kangyan Zhou; Shrimai Prabhumoye; Alan W. Black (EMNLP, 2018)

Style Transfer Through Multilingual and Feedback-Based Back-Translation. - Shrimai Prabhumoye; Yulia Tsvetkov; Alan W. Black; Ruslan Salakhutdinov (CoRR, 2018)

Principled Frameworks for Evaluating Ethics in NLP Systems. - Shrimai Prabhumoye; Elijah Mayfield; Alan W. Black (WNLP@ACL, 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 (BEA@ACL, 2019)

Towards Content Transfer through Grounded Text Generation. - Shrimai Prabhumoye; Chris Quirk; Michel Galley (NAACL-HLT (1), 2019)

The Second Conversational Intelligence Challenge (ConvAI2). - Emily Dinan; Varvara Logacheva; Valentin Malykh; Alexander H. Miller; Kurt Shuster 001; Jack Urbanek; Douwe Kiela; Arthur Szlam; Iulian Serban; Ryan Lowe; Shrimai Prabhumoye; Alan W. Black; et al. (CoRR, 2019)

"My Way of Telling a Story": Persona based Grounded Story Generation. - Shrimai Prabhumoye; Khyathi Raghavi Chandu; Ruslan Salakhutdinov; Alan W. Black (CoRR, 2019)

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 (AAAI, 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 (ACL, 2020)

Topological Sort for Sentence Ordering. - Shrimai Prabhumoye; Ruslan Salakhutdinov; Alan W. Black (ACL, 2020)

Exploring Controllable Text Generation Techniques. - Shrimai Prabhumoye; Alan W. Black; Ruslan Salakhutdinov (COLING, 2020)

Modeling Product Search Relevance in e-Commerce. - Rahul Radhakrishnan Iyer; Rohan Kohli; 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)

EIGEN: Event Influence GENeration using Pre-trained Language Models. - Aman Madaan; Dheeraj Rajagopal; Yiming Yang; Abhilasha Ravichander; Eduard H. Hovy; Shrimai Prabhumoye (CoRR, 2020)

Case Study: Deontological Ethics in NLP. - Shrimai Prabhumoye; Brendon Boldt; Ruslan Salakhutdinov; Alan W. Black (NAACL-HLT, 2021)

Focused Attention Improves Document-Grounded Generation. - Shrimai Prabhumoye; Kazuma Hashimoto; Yingbo Zhou; Alan W. Black; Ruslan Salakhutdinov (NAACL-HLT, 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)

Few-shot Instruction Prompts for Pretrained Language Models to Detect Social Biases. - Shrimai Prabhumoye; Rafal Kocielnik; Mohammad Shoeybi; Anima Anandkumar; Bryan Catanzaro (CoRR, 2021)

Five sources of bias in natural language processing. - Dirk Hovy; Shrimai Prabhumoye (Lang. Linguistics Compass, 2021)

Multi-Stage Prompting for Knowledgeable Dialogue Generation. - Zihan Liu 001; Mostofa Patwary; Ryan Prenger; Shrimai Prabhumoye; Wei Ping; Mohammad Shoeybi; Bryan Catanzaro (ACL (Findings), 2022)

Evaluating Parameter Efficient Learning for Generation. - Peng Xu 008; Mostofa Patwary; Shrimai Prabhumoye; Virginia Adams; Ryan Prenger; Wei Ping; Nayeon Lee; Mohammad Shoeybi; Bryan Catanzaro (EMNLP, 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 (TL4NLP, 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; et al. (CoRR, 2022)

Adding Instructions during Pretraining: Effective way of Controlling Toxicity in Language Models. - Shrimai Prabhumoye; Mostofa Patwary; Mohammad Shoeybi; Bryan Catanzaro (EACL, 2023)

Context Generation Improves Open Domain Question Answering. - Dan Su 003; Mostofa Patwary; Shrimai Prabhumoye; Peng Xu 008; Ryan Prenger; Mohammad Shoeybi; Pascale Fung; Anima Anandkumar; Bryan Catanzaro (EACL (Findings), 2023)

Self-Refine: Iterative Refinement with Self-Feedback. - Aman Madaan; Niket Tandon; Prakhar Gupta; Skyler Hallinan; Luyu Gao; Sarah Wiegreffe; Uri Alon 002; Nouha Dziri; Shrimai Prabhumoye; Yiming Yang; Shashank Gupta; Bodhisattwa Prasad Majumder; et al. (NeurIPS, 2023)

SPRING: Studying Papers and Reasoning to play Games. - Yue Wu 001; So Yeon Min; Shrimai Prabhumoye; Yonatan Bisk; Russ Salakhutdinov; Amos Azaria; Tom M. Mitchell; Yuanzhi Li (NeurIPS, 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)

Self-Refine: Iterative Refinement with Self-Feedback. - Aman Madaan; Niket Tandon; Prakhar Gupta; Skyler Hallinan; Luyu Gao; Sarah Wiegreffe; Uri Alon 002; Nouha Dziri; Shrimai Prabhumoye; Yiming Yang; Sean Welleck; Bodhisattwa Prasad Majumder; et al. (CoRR, 2023)

Plan, Eliminate, and Track - Language Models are Good Teachers for Embodied Agents. - Yue Wu 001; So Yeon Min; Yonatan Bisk; Ruslan Salakhutdinov; Amos Azaria; Yuanzhi Li; Tom M. Mitchell; Shrimai Prabhumoye (CoRR, 2023)

SPRING: GPT-4 Out-performs RL Algorithms by Studying Papers and Reasoning. - Yue Wu 001; Shrimai Prabhumoye; So Yeon Min; Yonatan Bisk; Ruslan Salakhutdinov; Amos Azaria; Tom M. Mitchell; Yuanzhi Li (CoRR, 2023)

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 (EMNLP, 2024)

LLM-Evolve: Evaluation for LLM's Evolving Capability on Benchmarks. - Jiaxuan You; Mingjie Liu; Shrimai Prabhumoye; Mostofa Patwary; Mohammad Shoeybi; Bryan Catanzaro (EMNLP, 2024)

Nemotron-4 15B Technical Report. - Jupinder Parmar; Shrimai Prabhumoye; Joseph Jennings; Mostofa Patwary; Sandeep Subramanian; Dan Su 003; Chen Zhu 001; Deepak Narayanan; Aastha Jhunjhunwala; Ayush Dattagupta; Vibhu Jawa; Jiwei Liu; et al. (CoRR, 2024)

AgentKit: Flow Engineering with Graphs, not Coding. - Yue Wu 001; Yewen Fan; So Yeon Min; Shrimai Prabhumoye; Stephen McAleer; Yonatan Bisk; Ruslan Salakhutdinov; Yuanzhi Li; Tom M. Mitchell (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; et al. (CoRR, 2024)

Data, Data Everywhere: A Guide for Pretraining Dataset Construction. - Jupinder Parmar; Shrimai Prabhumoye; Joseph Jennings; Bo Li 026; Aastha Jhunjhunwala; Zhilin Wang; Mostofa Patwary; Mohammad Shoeybi; Bryan Catanzaro (CoRR, 2024)

Maximize Your Data's Potential: Enhancing LLM Accuracy with Two-Phase Pretraining. - Steven Feng; Shrimai Prabhumoye; Kezhi Kong; Dan Su 003; Mostofa Patwary; Mohammad Shoeybi; Bryan Catanzaro (CoRR, 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 (ICLR, 2025)

Retro-Search: Exploring Untaken Paths for Deeper and Efficient Reasoning. - Ximing Lu; Seungju Han 002; David Acuna; Hyunwoo Kim 002; Jaehun Jung; Shrimai Prabhumoye; Niklas Muennighoff; Mostofa Patwary; Mohammad Shoeybi; Bryan Catanzaro; Yejin Choi 001 (CoRR, 2025)

Nemotron-CrossThink: Scaling Self-Learning beyond Math Reasoning. - Syeda Nahida Akter; Shrimai Prabhumoye; Matvei Novikov; Seungju Han 002; Ying Lin; Evelina Bakhturina; Eric Nyberg; Yejin Choi 001; Mostofa Patwary; Mohammad Shoeybi; Bryan Catanzaro (CoRR, 2025)

Llama-Nemotron: Efficient Reasoning Models. - Akhiad Bercovich; Itay Levy; Izik Golan; Mohammad Dabbah; Ran El-Yaniv; Omri Puny; Ido Galil; Zach Moshe; Tomer Ronen; Najeeb Nabwani; Ido Shahaf; Oren Tropp; et al. (CoRR, 2025)

Prismatic Synthesis: Gradient-based Data Diversification Boosts Generalization in LLM Reasoning. - Jaehun Jung; Seungju Han 002; Ximing Lu; Skyler Hallinan; David Acuna; Shrimai Prabhumoye; Mostafa Patwary; Mohammad Shoeybi; Bryan Catanzaro; Yejin Choi 001 (CoRR, 2025)

Nemotron-CC-Math: A 133 Billion-Token-Scale High Quality Math Pretraining Dataset. - Rabeeh Karimi Mahabadi; Sanjeev Satheesh; Shrimai Prabhumoye; Mostofa Patwary; Mohammad Shoeybi; Bryan Catanzaro (CoRR, 2025)