Shrimai Prabhumoye

According to our database1, Shrimai Prabhumoye authored at least 39 papers between 2017 and 2024.

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Bibliography

2024
Data, Data Everywhere: A Guide for Pretraining Dataset Construction.
CoRR, 2024

Nemotron-4 340B Technical Report.
CoRR, 2024

AgentKit: Flow Engineering with Graphs, not Coding.
CoRR, 2024

Nemotron-4 15B Technical Report.
CoRR, 2024

LLM-Evolve: Evaluation for LLM's Evolving Capability on Benchmarks.
Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

Data, Data Everywhere: A Guide for Pretraining Dataset Construction.
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.
CoRR, 2023

Plan, Eliminate, and Track - Language Models are Good Teachers for Embodied Agents.
CoRR, 2023

Self-Refine: Iterative Refinement with Self-Feedback.
CoRR, 2023

AutoBiasTest: Controllable Sentence Generation for Automated and Open-Ended Social Bias Testing in Language Models.
CoRR, 2023

SPRING: Studying Papers and Reasoning to play Games.
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.
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.
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.
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.
CoRR, 2022

Can You Label Less by Using Out-of-Domain Data? Active & Transfer Learning with Few-shot Instructions.
Proceedings of the Transfer Learning for Natural Language Processing Workshop, 2022

Evaluating Parameter Efficient Learning for Generation.
Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

Multi-Stage Prompting for Knowledgeable Dialogue Generation.
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2022, 2022

2021
Five sources of bias in natural language processing.
Lang. Linguistics Compass, 2021

Few-shot Instruction Prompts for Pretrained Language Models to Detect Social Biases.
CoRR, 2021

CURIE: An Iterative Querying Approach for Reasoning About Situations.
CoRR, 2021

Focused Attention Improves Document-Grounded Generation.
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.
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.
CoRR, 2020

I love your chain mail! Making knights smile in a fantasy game world: Open-domain goal-oriented dialogue agents.
CoRR, 2020

Modeling Product Search Relevance in e-Commerce.
CoRR, 2020

Exploring Controllable Text Generation Techniques.
Proceedings of the 28th International Conference on Computational Linguistics, 2020

Topological Sort for Sentence Ordering.
Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020

Politeness Transfer: A Tag and Generate Approach.
Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020

Generating Interactive Worlds with Text.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019
"My Way of Telling a Story": Persona based Grounded Story Generation.
CoRR, 2019

The Second Conversational Intelligence Challenge (ConvAI2).
CoRR, 2019

Towards Content Transfer through Grounded Text Generation.
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.
Proceedings of the Fourteenth Workshop on Innovative Use of NLP for Building Educational Applications, 2019

Principled Frameworks for Evaluating Ethics in NLP Systems.
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.
CoRR, 2018

A Dataset for Document Grounded Conversations.
Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, Brussels, Belgium, October 31, 2018

Style Transfer Through Back-Translation.
Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics, 2018

2017
Linguistic Markers of Influence in Informal Interactions.
Proceedings of the Second Workshop on NLP and Computational Social Science, 2017


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