SP
Shrimai Prabhumoye
cs.CLcs.AIcs.LGcs.CVcs.ROstat.MLcs.CYcs.HCcs.IRcs.MM
On Valency
published · living versionsW_5txyfx4z·v1 · currentpublished
Preprints & journals
55 papers in the corpus · 2017–2026Shieldstral2607.25857v2 · Antonia Calvi, Avinash Sooriyarachchi, Giada Pistilli et al.2026 · 0 citationsarXiv
Robostral Navigate2607.20785v3 · Abdelaziz Bounhar, Abhijeet Somani, Aditi Kabra et al.2026 · 0 citationsarXiv
Nemotron 3 Ultra: Open, Efficient Mixture-of-Experts Hybrid Mamba-Transformer Model for Agentic Reasoning2606.15007v1 · NVIDIA: Aaron Blakeman, Aaron Thomas, Aastha Jhunjhunwala et al.2026 · 0 citationsarXiv
Cosmos 3: Omnimodal World Models for Physical AI2606.02800v4 · NVIDIA: Aditi, Niket Agarwal, Arslan Ali et al.2026 · 1 citationarXiv
Introspective X Training: Feedback Conditioning Improves Scaling Across all LLM Training Stages2605.20285v1 · Brandon Cui, Ximing Lu, Jaehun Jung et al.2026 · 0 citationsarXiv
Nemotron 3 Super: Open, Efficient Mixture-of-Experts Hybrid Mamba-Transformer Model for Agentic Reasoning2604.12374v1 · NVIDIA: Aakshita Chandiramani, Aaron Blakeman, Abdullahi Olaoye et al.2026 · 0 citationsarXiv
Decompose, Mix, Adapt: A Unified Framework for Parameter-Efficient Neural Network Recombination and Compression2603.27383v2 · Nazia Tasnim, Shrimai Prabhumoye, Bryan A. Plummer2026 · 0 citationsarXiv
iGRPO: Self-Feedback-Driven LLM Reasoning2602.09000v1 · Ali Hatamizadeh, Shrimai Prabhumoye, Igor Gitman et al.2026 · 0 citationsarXiv
NVIDIA Nemotron 3: Efficient and Open Intelligence2512.20856v1 · NVIDIA: Aaron Blakeman, Aaron Grattafiori, Aarti Basant et al.2025 · 1 citationarXiv
Nemotron 3 Nano: Open, Efficient Mixture-of-Experts Hybrid Mamba-Transformer Model for Agentic Reasoning2512.20848v1 · NVIDIA: Aaron Blakeman, Aaron Grattafiori, Aarti Basant et al.2025 · 0 citationsarXiv
RLP: Reinforcement as a Pretraining Objective2510.01265v2 · Ali Hatamizadeh, Syeda Nahida Akter, Shrimai Prabhumoye et al.2025 · 0 citationsarXiv
Front-Loading Reasoning: The Synergy between Pretraining and Post-Training Data2510.03264v1 · Syeda Nahida Akter, Shrimai Prabhumoye, Eric Nyberg et al.2025 · 0 citationsarXiv
NVIDIA Nemotron Nano 2: An Accurate and Efficient Hybrid Mamba-Transformer Reasoning Model2508.14444v4 · NVIDIA: Aarti Basant, Abhijit Khairnar, Abhijit Paithankar et al.2025 · 0 citationsarXiv
Nemotron-CC-Math: A 133 Billion-Token-Scale High Quality Math Pretraining Dataset2508.15096v1 · Rabeeh Karimi Mahabadi, Sanjeev Satheesh, Shrimai Prabhumoye et al.2025 · 0 citationsarXiv
Prismatic Synthesis: Gradient-based Data Diversification Boosts Generalization in LLM Reasoning2505.20161v2 · Jaehun Jung, Seungju Han, Ximing Lu et al.2025 · 1 citationarXiv
Llama-Nemotron: Efficient Reasoning Models2505.00949v5 · Akhiad Bercovich, Itay Levy, Izik Golan et al.2025 · 1 citationarXiv
Nemotron-CrossThink: Scaling Self-Learning beyond Math Reasoning2504.13941v3 · Syeda Nahida Akter, Shrimai Prabhumoye, Matvei Novikov et al.2025 · 0 citationsarXiv
Retro-Search: Exploring Untaken Paths for Deeper and Efficient Reasoning2504.04383v2 · Ximing Lu, Seungju Han, David Acuna et al.2025 · 0 citationsarXiv
Nemotron-H: A Family of Accurate and Efficient Hybrid Mamba-Transformer Models2504.03624v4 · NVIDIA: Aaron Blakeman, Aarti Basant, Abhinav Khattar et al.2025 · 0 citationsarXiv
Maximize Your Data's Potential: Enhancing LLM Accuracy with Two-Phase Pretraining2412.15285v1 · Steven Feng, Shrimai Prabhumoye, Kezhi Kong et al.2024 · 0 citationsarXiv
MIND: Math Informed syNthetic Dialogues for Pretraining LLMs2410.12881v2 · Syeda Nahida Akter, Shrimai Prabhumoye, John Kamalu et al.2024 · 0 citationsarXiv
Data, Data Everywhere: A Guide for Pretraining Dataset Construction2407.06380v2 · Jupinder Parmar, Shrimai Prabhumoye, Joseph Jennings et al.2024 · 1 citationarXiv
Nemotron-4 340B Technical Report2406.11704v2 · Nvidia: Bo Adler, Niket Agarwal, Ashwath Aithal et al.2024 · 7 citationsarXiv
AgentKit: Structured LLM Reasoning with Dynamic Graphs2404.11483v2 · Yue Wu, Yewen Fan, So Yeon Min et al.2024 · 1 citationarXiv
Nemotron-4 15B Technical Report2402.16819v2 · Jupinder Parmar, Shrimai Prabhumoye, Joseph Jennings et al.2024 · 0 citationsarXiv
SPRING: Studying the Paper and Reasoning to Play Games2305.15486v3 · Yue Wu, Shrimai Prabhumoye, So Yeon Min et al.2023 · 10 citationsarXiv
Plan, Eliminate, and Track -- Language Models are Good Teachers for Embodied Agents2305.02412v2 · Yue Wu, So Yeon Min, Yonatan Bisk et al.2023 · 7 citationsarXiv
Self-Refine: Iterative Refinement with Self-Feedback2303.17651v2 · Aman Madaan, Niket Tandon, Prakhar Gupta et al.2023 · 758 citationsarXiv
BiasTestGPT: Using ChatGPT for Social Bias Testing of Language Models2302.07371v3 · Rafal Kocielnik, Shrimai Prabhumoye, Vivian Zhang et al.2023 · 4 citationsarXiv
Adding Instructions during Pretraining: Effective Way of Controlling Toxicity in Language Models2302.07388v1 · Shrimai Prabhumoye, Mostofa Patwary, Mohammad Shoeybi et al.2023 · 5 citationsarXiv
Can You Label Less by Using Out-of-Domain Data? Active & Transfer Learning with Few-shot Instructions2211.11798v1 · Rafal Kocielnik, Sara Kangaslahti, Shrimai Prabhumoye et al.2022 · 0 citationsarXiv
Evaluating Parameter Efficient Learning for Generation2210.13673v1 · Peng Xu, Mostofa Patwary, Shrimai Prabhumoye et al.2022 · 1 citationarXiv
Context Generation Improves Open Domain Question Answering2210.06349v2 · Dan Su, Mostofa Patwary, Shrimai Prabhumoye et al.2022 · 9 citationsarXiv
Multi-Stage Prompting for Knowledgeable Dialogue Generation2203.08745v1 · Zihan Liu, Mostofa Patwary, Ryan Prenger et al.2022 · 45 citationsarXiv
Using DeepSpeed and Megatron to Train Megatron-Turing NLG 530B, A Large-Scale Generative Language Model2201.11990v3 · Shaden Smith, Mostofa Patwary, Brandon Norick et al.2022 · 286 citationsarXiv
Few-shot Instruction Prompts for Pretrained Language Models to Detect Social Biases2112.07868v2 · Shrimai Prabhumoye, Rafal Kocielnik, Mohammad Shoeybi et al.2021 · 11 citationsarXiv
Five sources of bias in natural language processing.35864931 · Hovy, Dirk, Prabhumoye, Shrimai2022 · 298 citationsLanguage and linguistics compass. 2021;15(8):e12432
Focused Attention Improves Document-Grounded Generation2104.12714v1 · Shrimai Prabhumoye, Kazuma Hashimoto, Yingbo Zhou et al.2021 · 36 citationsarXiv
CURIE: An Iterative Querying Approach for Reasoning About Situations2104.00814v2 · Dheeraj Rajagopal, Aman Madaan, Niket Tandon et al.2021 · 5 citationsarXiv
EIGEN: Event Influence GENeration using Pre-trained Language Models2010.11764v1 · Aman Madaan, Dheeraj Rajagopal, Yiming Yang et al.2020 · 11 citationsarXiv
Case Study: Deontological Ethics in NLP2010.04658v2 · Shrimai Prabhumoye, Brendon Boldt, Ruslan Salakhutdinov et al.2020 · 30 citationsarXiv
Exploring Controllable Text Generation Techniques2005.01822v2 · Shrimai Prabhumoye, Alan W Black, Ruslan Salakhutdinov2020 · 64 citationsarXiv
Topological Sort for Sentence Ordering2005.00432v1 · Shrimai Prabhumoye, Ruslan Salakhutdinov, Alan W Black2020 · 47 citationsarXiv
Politeness Transfer: A Tag and Generate Approach2004.14257v2 · Aman Madaan, Amrith Setlur, Tanmay Parekh et al.2020 · 143 citationsarXiv
I love your chain mail! Making knights smile in a fantasy game world: Open-domain goal-oriented dialogue agents2002.02878v2 · Shrimai Prabhumoye, Margaret Li, Jack Urbanek et al.2020 · 10 citationsarXiv
Modeling Product Search Relevance in e-Commerce2001.04980v1 · Rahul Radhakrishnan Iyer, Rohan Kohli, Shrimai Prabhumoye2020 · 3 citationsarXiv
Generating Interactive Worlds with Text1911.09194v2 · Angela Fan, Jack Urbanek, Pratik Ringshia et al.2019 · 16 citationsarXiv
"My Way of Telling a Story": Persona based Grounded Story Generation1906.06401v1 · Shrimai Prabhumoye, Khyathi Raghavi Chandu, Ruslan Salakhutdinov et al.2019 · 31 citationsStorytelling Workshop at ACL 2019
Principled Frameworks for Evaluating Ethics in NLP Systems1906.06425v1 · Shrimai Prabhumoye, Elijah Mayfield, Alan W Black2019 · 8 citationsWidening NLP Workshop at ACL 2019
Towards Content Transfer through Grounded Text Generation1905.05293v1 · Shrimai Prabhumoye, Chris Quirk, Michel Galley2019 · 22 citationsProc. NAACL 2019
Career total: 73 works. 55 are in this corpus.Showing the 50 most recent.
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