Roee Aharoni

Artificial Intelligence · 2016–2025

A researcher in the Science corpus: 11 papers; trusts 526 researchers and is trusted by 55 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 304 citations into it; #4,355 of 35,345 by trust here, #4,860 by citations
• Natural Language Processing — 257 citations into it; #1,363 of 5,688 by trust here, #1,250 by citations
• Computer Vision and Pattern Recognition — 129 citations into it; #4,991 of 21,575 by trust here, #5,116 by citations
• Evaluation & Benchmarks — 86 citations into it
• Large Language Models — 40 citations into it
• Model Architectures — 28 citations into it
• Representation & Self-Supervised Learning — 17 citations into it
• Machine Translation — 13 citations into it

Whom Roee Aharoni trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

1. Rico Sennrich
2. Alex Graves
3. Yoshua Bengio
4. Ilya Sutskever
5. Geoffrey E. Hinton
6. Dzmitry Bahdanau
7. Diederik P. Kingma
8. Kyunghyun Cho
9. Philipp Koehn
10. Alex Krizhevsky

Who trusts Roee Aharoni overall

1. Yonatan Belinkov
2. Marcin Junczys-Dowmunt
3. Felix Stahlberg
4. Xinyun Chen
5. Ankur Bapna
6. Chung-Cheng Chiu
7. Yulia Tsvetkov
8. Vighnesh Leonardo Shiv
9. Devamanyu Hazarika
10. Suchin Gururangan

Papers from Roee Aharoni's perspective

Ordered by how strongly the researchers Roee Aharoni trusts endorse each paper. Same corpus, a different order for every researcher.

1. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
2. Attention is All you Need (Neural Information Processing Systems)
3. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
4. ImageNet classification with deep convolutional neural networks
5. Long Short-Term Memory
6. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
7. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
8. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
9. Gradient-based learning applied to document recognition
10. ImageNet: A large-scale hierarchical image database

Their papers

• Massively Multilingual Neural Machine Translation (2019) — 549 citations
• TRUE: Re-evaluating Factual Consistency Evaluation (2022) — 372 citations
• Unsupervised Domain Clusters in Pretrained Language Models (2020) — 282 citations
• The Missing Ingredient in Zero-Shot Neural Machine Translation (2019) — 123 citations
• Diversify Your Datasets: Analyzing Generalization via Controlled Variance in Adversarial Datasets (2019) — 39 citations
• Filling Gender & Number Gaps in Neural Machine Translation with Black-box Context Injection (2019) — 55 citations
• Morphological Inflection Generation with Hard Monotonic Attention (2016) — 133 citations
• Gemini 2.5: Pushing the Frontier with Advanced Reasoning, Multimodality, Long Context, and Next Generation Agentic Capabilities (2025) — 3,609 citations
• A Comprehensive Evaluation of Tool-Assisted Generation Strategies (2023) — 11 citations
• Q^{2}: Evaluating Factual Consistency in Knowledge-Grounded Dialogues via Question Generation and Question Answering (2021) — 167 citations
• Towards String-To-Tree Neural Machine Translation (2017) — 157 citations