Petr Sigut

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 Petr Sigut trusts

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

  1. R. Rosenfeld (in Artificial Intelligence)

Papers from Petr Sigut's perspective

Ordered by how strongly the researchers Petr Sigut 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 Few-Shot Learners (Neural Information Processing Systems)
  3. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
  4. Efficient Estimation of Word Representations in Vector Space
  5. Two decades of statistical language modeling: where do we go from here? (Proceedings of the IEEE)
  6. Automatic Detection of Generated Text is Easiest when Humans are Fooled
  7. On the Dangers of Stochastic Parrots: Can Language Models Be Too Big? 🦜
  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