Gavin Abercrombie
Natural Language Processing · 2021–2023
A researcher in the Science corpus: 6 papers; trusts 133 researchers and is trusted by 2 researchers here, as inferred from the citation graph.
Subfields
- Natural Language Processing — 303 citations into it; #5,190 of 5,688 by trust here, #2,440 by citations
- Artificial Intelligence — 297 citations into it; #32,277 of 35,345 by trust here, #11,327 by citations
- Safety, Robustness & Interpretability — 164 citations into it; #2,196 of 2,251 by trust here, #999 by citations
- Information Systems — 50 citations into it
- Sociology and Political Science — 47 citations into it
- Evaluation & Benchmarks — 45 citations into it
- Social Psychology — 42 citations into it
- Large Language Models — 41 citations into it
Whom Gavin Abercrombie trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Emily Dinan
- Geoffrey E. Hinton
- Yoshua Bengio
- Jason Aaron Edward Weston
- Diederik P. Kingma
- Oriol Vinyals
- Ilya Sutskever
- Alex Krizhevsky
- Amanda Cercas Curry
- Yann LeCun
Who trusts Gavin Abercrombie overall
Papers from Gavin Abercrombie's perspective
Ordered by how strongly the researchers Gavin Abercrombie trusts endorse each paper. Same corpus, a different order for every researcher.
- Attention is All you Need (Neural Information Processing Systems)
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- ImageNet classification with deep convolutional neural networks
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Long Short-Term Memory
- BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
- ImageNet: A large-scale hierarchical image database
- Gradient-based learning applied to document recognition
- Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
- Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
Their papers
- Anticipating Safety Issues in E2E Conversational AI: Framework and Tooling (2021) — 117 citations
- SafetyKit: First Aid for Measuring Safety in Open-domain Conversational Systems (2022) — 67 citations
- Guiding the Release of Safer E2E Conversational AI through Value Sensitive Design (2022) — 22 citations
- Mirages: On Anthropomorphism in Dialogue Systems (2023) — 69 citations
- ConvAbuse: Data, Analysis, and Benchmarks for Nuanced Abuse Detection in Conversational AI (2021) — 97 citations
- Alexa, Google, Siri: What are Your Pronouns? Gender and Anthropomorphism in the Design and Perception of Conversational Assistants (2021) — 73 citations