Rajesh Bhayana

Health Informatics · 2023–2024

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 Rajesh Bhayana trusts overall

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

  1. Joseph Weizenbaum
  2. Viriya Taecharungroj

Who trusts Rajesh Bhayana overall

  1. Leonardo Banh

Papers from Rajesh Bhayana's perspective

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

  1. Training language models to follow instructions with human feedback (Neural Information Processing Systems)
  2. Performance of ChatGPT on USMLE: Potential for AI-assisted medical education using large language models (medRxiv)
  3. Language Models are Unsupervised Multitask Learners
  4. On the Dangers of Stochastic Parrots: Can Language Models Be Too Big? 🦜
  5. Improving Language Understanding by Generative Pre-Training
  6. Attention is All you Need (Neural Information Processing Systems)
  7. Self-Consistency Improves Chain of Thought Reasoning in Language Models
  8. On the Opportunities and Risks of Foundation Models
  9. Language Models are Few-Shot Learners (Neural Information Processing Systems)
  10. Large language models encode clinical knowledge

Their papers