Or Honovich
Artificial Intelligence · 2021–2022
A researcher in the Science corpus: 5 papers; trusts 200 researchers and is trusted by 3 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 195 citations into it
- Natural Language Processing — 147 citations into it; #4,404 of 5,688 by trust here, #1,975 by citations
- Evaluation & Benchmarks — 87 citations into it
- Computer Vision and Pattern Recognition — 69 citations into it
- Large Language Models — 49 citations into it
- Prompting & Reasoning — 39 citations into it
Whom Or Honovich trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Geoffrey E. Hinton
- Yoshua Bengio
- Diederik P. Kingma
- Ilya Sutskever
- Richard Socher
- Alex Krizhevsky
- Samuel R. Bowman
- Kaiming He
- Yann LeCun
- Alex Graves
Who trusts Or Honovich overall
- Luyu Gao
- Reinald Kim Amplayo
- Ziwei Ji
- Timo Schick
- Tim Dettmers
- Melanie Sclar
- Monica Agrawal
- Zhuyun Dai
- Yuheng Zha
- Qiaoyu Tang
Papers from Or Honovich's perspective
Ordered by how strongly the researchers Or Honovich 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)
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- 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)
- ImageNet: A large-scale hierarchical image database
- Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
- Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
- Gradient-based learning applied to document recognition
Their papers
- TRUE: Re-evaluating Factual Consistency Evaluation (2022) — 372 citations
- Instruction Induction: From Few Examples to Natural Language Task Descriptions (2022) — 211 citations
- LMentry: A Language Model Benchmark of Elementary Language Tasks (2022) — 33 citations
- Unnatural Instructions: Tuning Language Models with (Almost) No Human Labor (2022) — 487 citations
- Q^{2}: Evaluating Factual Consistency in Knowledge-Grounded Dialogues via Question Generation and Question Answering (2021) — 167 citations