Shan Zhang

Artificial Intelligence · with Chan · 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 Shan Zhang trusts

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

  1. Chin-Yew Lin (in Evaluation & Benchmarks)
  2. Chris Callison-Burch (in Artificial Intelligence)
  3. Grzegorz Kondrak (in Artificial Intelligence)

Papers from Shan Zhang's perspective

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

  1. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
  2. Bleu: a Method for Automatic Evaluation of Machine Translation
  3. Language Models are Few-Shot Learners (Neural Information Processing Systems)
  4. ROUGE: A Package for Automatic Evaluation of Summaries
  5. 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
  6. Training language models to follow instructions with human feedback (Neural Information Processing Systems)
  7. Finetuned Language Models Are Zero-Shot Learners
  8. BERTScore: Evaluating Text Generation with BERT
  9. Why We Need New Evaluation Metrics for NLG
  10. BLEURT: Learning Robust Metrics for Text Generation

Their papers