James Prather

Information Systems · 2022–2023

A researcher in the Science corpus: 5 papers; trusts 2 researchers and is trusted by 4 researchers here, as inferred from the citation graph.

Subfields

Whom James Prather trusts overall

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

  1. G. Ryan
  2. Paul Denny
  3. Cecilia Ka Yuk Chan
  4. Juho Leinonen
  5. Claes Wohlin
  6. Sami Sarsa
  7. Hammond A. Pearce
  8. Gustavo Sandoval
  9. Elliot Soloway
  10. Stephen MacNeil

Who trusts James Prather overall

  1. Paul Denny

Papers from James Prather's perspective

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

  1. Language Models are Few-Shot Learners (Neural Information Processing Systems)
  2. Program Synthesis with Large Language Models
  3. The Robots Are Coming: Exploring the Implications of OpenAI Codex on Introductory Programming
  4. Competition-level code generation with AlphaCode
  5. Automatic Generation of Programming Exercises and Code Explanations Using Large Language Models
  6. Hierarchical Text-Conditional Image Generation with CLIP Latents (arXiv.org)
  7. On the Opportunities and Risks of Foundation Models
  8. Asleep at the Keyboard? Assessing the Security of GitHub Copilot’s Code Contributions
  9. GitHub Copilot AI pair programmer: Asset or Liability?
  10. Prompt Programming for Large Language Models: Beyond the Few-Shot Paradigm

Their papers