Shahriar Golchin

Artificial Intelligence · 2023

A researcher in the Science corpus: 1 paper; trusts 32 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 30 citations into it
• Natural Language Processing — 19 citations into it
• Large Language Models — 18 citations into it
• Evaluation & Benchmarks — 15 citations into it

Whom Shahriar Golchin trusts overall

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

1. Chin-Yew Lin
2. Ido Dagan
3. Danilo Giampiccolo
4. Alec Radford
5. Yann LeCun
6. Junbo Jake Zhao
7. Bernardo Magnini
8. Geoffrey E. Hinton
9. Ashish Vaswani
10. Yoshua Bengio

Papers from Shahriar Golchin's perspective

Ordered by how strongly the researchers Shahriar Golchin 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. Gradient-based learning applied to document recognition
8. ImageNet: A large-scale hierarchical image database
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

• Time Travel in LLMs: Tracing Data Contamination in Large Language Models (2023) — 194 citations