Guillermo Serrato

Artificial Intelligence · 2022

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 — 14 citations into it
• Natural Language Processing — 10 citations into it

Whom Guillermo Serrato trusts overall

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

1. Alexey Svyatkovskiy

Papers from Guillermo Serrato's perspective

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

1. Attention is All you Need (Neural Information Processing Systems)
2. Improving Language Understanding by Generative Pre-Training
3. BART: Denoising Sequence-to-Sequence Pre-training for Natural Language Generation, Translation, and Comprehension
4. Scaling Laws for Neural Language Models (arXiv.org)
5. Long Short-Term Memory
6. CTRL: A Conditional Transformer Language Model for Controllable Generation
7. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
8. ImageNet classification with deep convolutional neural networks
9. Program Synthesis with Large Language Models
10. Evaluating Large Language Models Trained on Code (arXiv.org)

Their papers

• Training and Evaluating a Jupyter Notebook Data Science Assistant (2022) — 56 citations