Mojtaba Komeili

Artificial Intelligence · 2021–2023

A researcher in the Science corpus: 5 papers; trusts 148 researchers and is trusted by 18 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 200 citations into it; #10,793 of 35,345 by trust here, #7,728 by citations
• Natural Language Processing — 154 citations into it; #1,972 of 5,688 by trust here, #1,715 by citations
• Computer Vision and Pattern Recognition — 67 citations into it
• Large Language Models — 50 citations into it
• Evaluation & Benchmarks — 32 citations into it
• Retrieval-Augmented Generation — 21 citations into it
• Information Retrieval & Search — 20 citations into it
• Dialogue & Conversational AI — 10 citations into it

Whom Mojtaba Komeili trusts overall

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

1. Jason Aaron Edward Weston
2. Diederik P. Kingma
3. Geoffrey E. Hinton
4. Yoshua Bengio
5. Emily Dinan
6. Ilya Sutskever
7. Kurt Shuster
8. Alex Krizhevsky
9. Yann LeCun
10. Kaiming He

Who trusts Mojtaba Komeili overall

1. Kurt Shuster
2. Jing Xu
3. Eric Michael Smith
4. Weiyan Shi
5. Emily Dinan
6. Leonard Adolphs
7. Hangfeng He
8. Kalpesh Krishna
9. Jason Aaron Edward Weston
10. Joel Jang

Papers from Mojtaba Komeili's perspective

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

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

Their papers

• Internet-Augmented Dialogue Generation (2021) — 325 citations
• BlenderBot 3: a deployed conversational agent that continually learns to responsibly engage (2022) — 297 citations
• Learning New Skills after Deployment: Improving open-domain internet-driven dialogue with human feedback (2022) — 47 citations
• Chain-of-Verification Reduces Hallucination in Large Language Models (2023) — 515 citations
• Language Models that Seek for Knowledge: Modular Search & Generation for Dialogue and Prompt Completion (2022) — 150 citations