Tomás Foltýnek

Artificial Intelligence · 2023

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

Subfields

Whom Tomás Foltýnek trusts

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

  1. R. Rosenfeld (in Artificial Intelligence)

Papers from Tomás Foltýnek's perspective

Ordered by how strongly the researchers Tomás Foltýnek 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. Language Models are Few-Shot Learners (Neural Information Processing Systems)
  4. Efficient Estimation of Word Representations in Vector Space
  5. On the Dangers of Stochastic Parrots: Can Language Models Be Too Big? 🦜
  6. Automatic Detection of Generated Text is Easiest when Humans are Fooled
  7. Two decades of statistical language modeling: where do we go from here? (Proceedings of the IEEE)
  8. How Close is ChatGPT to Human Experts? Comparison Corpus, Evaluation, and Detection
  9. Paraphrasing evades detectors of AI-generated text, but retrieval is an effective defense (Neural Information Processing Systems)
  10. Comparing scientific abstracts generated by ChatGPT to original abstracts using an artificial intelligence output detector, plagiarism detector, and blinded human reviewers (bioRxiv)

Their papers