Xiangwen Deng

npj Digit. Medicine · 2024

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

Whom Xiangwen Deng trusts overall

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

  1. Richard A. Armstrong

Papers from Xiangwen Deng's perspective

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

  1. Self-Consistency Improves Chain of Thought Reasoning in Language Models
  2. Chain of Thought Prompting Elicits Reasoning in Large Language Models (Neural Information Processing Systems)
  3. When to use the Bonferroni correction (Ophthalmic & physiological optics)
  4. Language Models are Unsupervised Multitask Learners
  5. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  6. Language Models are Few-Shot Learners (Neural Information Processing Systems)
  7. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
  8. Attention is All you Need (Neural Information Processing Systems)
  9. Distributed Representations of Words and Phrases and their Compositionality (Neural Information Processing Systems)
  10. Improving Language Understanding by Generative Pre-Training

Their papers