Shrimai Prabhumoye
Artificial Intelligence · 2018–2023
A researcher in the Science corpus: 14 papers; trusts 333 researchers and is trusted by 45 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 397 citations into it; #5,426 of 35,345 by trust here, #2,166 by citations
- Natural Language Processing — 320 citations into it; #1,321 of 5,688 by trust here, #707 by citations
- Safety, Robustness & Interpretability — 120 citations into it; #2,097 of 2,251 by trust here, #1,512 by citations
- Computer Vision and Pattern Recognition — 90 citations into it; #9,274 of 21,575 by trust here, #3,713 by citations
- Evaluation & Benchmarks — 69 citations into it; #1,398 of 3,147 by trust here, #2,009 by citations
- Large Language Models — 57 citations into it
- Information Systems — 31 citations into it
- Sociology and Political Science — 22 citations into it
Whom Shrimai Prabhumoye trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Ilya Sutskever
- Yoshua Bengio
- Geoffrey E. Hinton
- Dirk Hovy
- Diederik P. Kingma
- Dzmitry Bahdanau
- Alex Krizhevsky
- Oriol Vinyals
- Yann LeCun
- Kyunghyun Cho
Who trusts Shrimai Prabhumoye overall
- Anthony Rios
- Machel Reid
- Di Jin
- Zhijing Jin
- Maruan Al-Shedivat
- Kurt Shuster
- Kalpesh Krishna
- Hai Pham
- Hao Hao Tan
- Ruibo Liu
Papers from Shrimai Prabhumoye's perspective
Ordered by how strongly the researchers Shrimai Prabhumoye trusts endorse each paper. Same corpus, a different order for every researcher.
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Attention is All you Need (Neural Information Processing Systems)
- ImageNet classification with deep convolutional neural networks
- Long Short-Term Memory
- BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
- Gradient-based learning applied to document recognition
- Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
- ImageNet: A large-scale hierarchical image database
- Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
Their papers
- Using DeepSpeed and Megatron to Train Megatron-Turing NLG 530B, A Large-Scale Generative Language Model (2022) — 859 citations
- The Second Conversational Intelligence Challenge (ConvAI2) (2019) — 403 citations
- Style Transfer Through Back-Translation (2018) — 410 citations
- Self-Refine: Iterative Refinement with Self-Feedback (2023) — 4,061 citations
- A Dataset for Document Grounded Conversations (2018) — 249 citations
- Five sources of bias in natural language processing (2021) — 348 citations
- Politeness Transfer: A Tag and Generate Approach (2020) — 174 citations
- Towards Content Transfer through Grounded Text Generation (2019) — 21 citations
- I love your chain mail! Making knights smile in a fantasy game world: Open-domain goal-oriented dialogue agents (2019) — 14 citations
- Few-shot Instruction Prompts for Pretrained Language Models to Detect Social Biases (2021) — 27 citations
- Case Study: Deontological Ethics in NLP (2020) — 34 citations
- Generating Interactive Worlds with Text (2019) — 30 citations
- Principled Frameworks for Evaluating Ethics in NLP Systems (2019) — 8 citations
- Equity Beyond Bias in Language Technologies for Education (2019) — 46 citations