Ally Zhang

Artificial Intelligence · 2020

A researcher in the Science corpus: 2 papers; trusts 2 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Ally Zhang trusts

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

  1. Christopher D. Manning (in Artificial Intelligence)
  2. Percy Liang (in Artificial Intelligence)

Papers from Ally Zhang's perspective

Ordered by how strongly the researchers Ally 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. A large annotated corpus for learning natural language inference
  3. RoBERTa: A Robustly Optimized BERT Pretraining Approach (arXiv.org)
  4. Building a Large Annotated Corpus of English: The Penn Treebank
  5. Annotation Artifacts in Natural Language Inference Data
  6. Intriguing properties of neural networks
  7. Adversarial Examples for Evaluating Reading Comprehension Systems
  8. Learning Word Vectors for Sentiment Analysis
  9. Stress Test Evaluation for Natural Language Inference
  10. Learning the Difference that Makes a Difference with Counterfactually-Augmented Data

Their papers