Jennifer Chu-Carroll

Artificial Intelligence · 2010–2020

A researcher in the Science corpus: 4 papers; trusts 2 researchers and is trusted by 6 researchers here, as inferred from the citation graph.

Subfields

Whom Jennifer Chu-Carroll trusts overall

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

  1. Matt Post
  2. Dekang Lin

Who trusts Jennifer Chu-Carroll overall

  1. Petr Baudi
  2. Petr Baudis
  3. Xuchen Yao
  4. Benjamin Van Durme
  5. Jan Sedivý
  6. Aliaksei Severyn
  7. Xiaohan Zou
  8. Gilles Louppe

Papers from Jennifer Chu-Carroll's perspective

Ordered by how strongly the researchers Jennifer Chu-Carroll 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. Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformer (Journal of machine learning research)
  4. Adaptive Mixtures of Local Experts
  5. Book Reviews: WordNet: An Electronic Lexical Database
  6. Hierarchical Neural Story Generation
  7. A Call for Clarity in Reporting BLEU Scores
  8. CommonsenseQA: A Question Answering Challenge Targeting Commonsense Knowledge
  9. How NOT To Evaluate Your Dialogue System: An Empirical Study of Unsupervised Evaluation Metrics for Dialogue Response Generation
  10. Automatic Evaluation of Machine Translation Quality Using Longest Common Subsequence and Skip-Bigram Statistics

Their papers