Mustafa Safdari

Artificial Intelligence · 2022–2023

A researcher in the Science corpus: 2 papers; trusts 10 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 90 citations into it
• LLM Agents & Tool Use — 16 citations into it

Whom Mustafa Safdari trusts overall

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

1. Geoffrey E. Hinton
2. Yoshua Bengio
3. Diederik P. Kingma
4. Ashish Vaswani
5. Ilya Sutskever
6. Alex Krizhevsky
7. Noam Shazeer
8. Jacob Devlin
9. Kaiming He
10. Yann LeCun

Papers from Mustafa Safdari's perspective

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

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

Their papers

• Understanding HTML with Large Language Models (2022) — 95 citations
• A Real-World WebAgent with Planning, Long Context Understanding, and Program Synthesis (2023) — 391 citations