Alexander Panchenko

Natural Language Processing · with Dale · 2021

A researcher in the Science corpus: 1 paper; trusts 2 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Alexander Panchenko trusts

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

  1. John Wieting (in Natural Language Processing)
  2. Kevin Gimpel (in Natural Language Processing)

Papers from Alexander Panchenko's perspective

Ordered by how strongly the researchers Alexander Panchenko 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. 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. RoBERTa: A Robustly Optimized BERT Pretraining Approach (arXiv.org)
  5. Toward Controlled Generation of Text
  6. RealToxicityPrompts: Evaluating Neural Toxic Degeneration in Language Models
  7. Style Transfer from Non-Parallel Text by Cross-Alignment
  8. Neural Network Acceptability Judgments
  9. Style Transfer Through Back-Translation
  10. Plug and Play Language Models: A Simple Approach to Controlled Text Generation

Their papers