Avia Efrat
Artificial Intelligence · 2019–2023
A researcher in the Science corpus: 8 papers; trusts 108 researchers and is trusted by 15 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 130 citations into it
- Natural Language Processing — 83 citations into it; #1,835 of 5,688 by trust here, #2,497 by citations
- Computer Vision and Pattern Recognition — 57 citations into it
- Large Language Models — 47 citations into it
- Evaluation & Benchmarks — 41 citations into it
- Prompting & Reasoning — 24 citations into it; #64 of 359 by trust here, #280 by citations
- General Social Sciences — 5 citations into it
Whom Avia Efrat trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Geoffrey E. Hinton
- Yoshua Bengio
- Diederik P. Kingma
- Ilya Sutskever
- Alec Radford
- Samuel R. Bowman
- Alex Krizhevsky
- Pranav Rajpurkar
- Jacob Devlin
- Yann LeCun
Who trusts Avia Efrat overall
- Swaroop Mishra
- Or Honovich
- Daniel Khashabi
- Timo Schick
- Liyuan Wang
- Chitta Baral
- Mingda Chen
- Jason Wei
- Hongjin Su
- Omer Levy
Papers from Avia Efrat's perspective
Ordered by how strongly the researchers Avia Efrat 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
- Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
- Gradient-based learning applied to document recognition
- Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
Their papers
- SCROLLS: Standardized CompaRison Over Long Language Sequences (2022) — 184 citations
- LMentry: A Language Model Benchmark of Elementary Language Tasks (2022) — 33 citations
- LIMA: Less Is More for Alignment (2023) — 1,362 citations
- Beyond the Imitation Game: Quantifying and extrapolating the capabilities of language models (2023) — 266 citations
- Beyond the Imitation Game: Quantifying and extrapolating the capabilities of language models (2022) — 2,561 citations
- How Optimal is Greedy Decoding for Extractive Question Answering? (2021) — 5 citations
- The Turking Test: Can Language Models Understand Instructions? (2020) — 105 citations
- Tag-based Multi-Span Extraction in Reading Comprehension (2019) — 30 citations