Sarah Wooders

Artificial Intelligence · 2023

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

Whom Sarah Wooders trusts

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

  1. Chin-Yew Lin (in Natural Language Processing)
  2. Edouard Grave (in Artificial Intelligence)
  3. Gautier Izacard (in Artificial Intelligence)

Papers from Sarah Wooders's perspective

Ordered by how strongly the researchers Sarah Wooders 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. 5分で分かる!? 有名論文ナナメ読み：Jacob Devlin et al. : BERT : Pre-training of Deep Bidirectional Transformers for Language Understanding
  5. Generating Long Sequences with Sparse Transformers
  6. REALM: Retrieval-Augmented Language Model Pre-Training (International Conference on Machine Learning)
  7. Chain of Thought Prompting Elicits Reasoning in Large Language Models (Neural Information Processing Systems)
  8. ROUGE: A Package for Automatic Evaluation of Summaries
  9. Dense Passage Retrieval for Open-Domain Question Answering (Conference on Empirical Methods in Natural Language Processing)
  10. Transformer-XL: Attentive Language Models beyond a Fixed-Length Context

Their papers