Georges Harik

Artificial Intelligence · 2024

A researcher in the Science corpus: 1 paper; trusts 3 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 41 citations into it
• Large Language Models — 22 citations into it
• Prompting & Reasoning — 16 citations into it
• Reinforcement Learning — 6 citations into it

Whom Georges Harik trusts overall

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

1. Ronald J. Williams
2. Michael R Douglas
3. Geoffrey E. Hinton
4. Yoshua Bengio
5. Ilya Sutskever
6. Diederik P. Kingma
7. Eric Jang
8. Eric Zelikman
9. Jesse Mu
10. Alex Krizhevsky

Papers from Georges Harik's perspective

Ordered by how strongly the researchers Georges Harik 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. Long Short-Term Memory
5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
6. Language Models are Unsupervised Multitask Learners
7. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
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. Gradient-based learning applied to document recognition

Their papers

• Quiet-STaR: Language Models Can Teach Themselves to Think Before Speaking (2024) — 317 citations