Xin Peng

Artificial Intelligence · with Chen · 2023

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

Subfields

Whom Xin Peng trusts

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

  1. Quoc V. Le (in Artificial Intelligence)

Papers from Xin Peng's perspective

Ordered by how strongly the researchers Xin Peng 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. Improving Language Understanding by Generative Pre-Training
  5. Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformer (Journal of machine learning research)
  6. Training language models to follow instructions with human feedback (Neural Information Processing Systems)
  7. Semi-supervised Sequence Learning
  8. CodeBERT: A Pre-Trained Model for Programming and Natural Languages
  9. Unsupervised Pretraining for Sequence to Sequence Learning
  10. CodeSearchNet Challenge: Evaluating the State of Semantic Code Search

Their papers