Szymon Tworkowski

Artificial Intelligence · 2022–2023

A researcher in the Science corpus: 2 papers; trusts 3 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 27 citations into it

Whom Szymon Tworkowski trusts overall

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

1. Stanislas Polu
2. Jason Wei
3. Xuezhi Wang
4. Boshi Wang
5. Ilya Sutskever
6. Xinyun Chen
7. Jesse Michael Han

Who trusts Szymon Tworkowski overall

1. Naman Jain

Papers from Szymon Tworkowski's perspective

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

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

Their papers

• Thor: Wielding Hammers to Integrate Language Models and Automated Theorem Provers (2022) — 144 citations
• Explaining Competitive-Level Programming Solutions using LLMs (2023) — 19 citations