Brent N. Reeves
Large Language Models · 2022–2023
A researcher in the Science corpus: 2 papers; trusts 1 researcher and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Large Language Models — 11 citations into it
Whom Brent N. Reeves trusts
Their strongest outbound trust, strongest first, inferred from their citations.
- February Friday (in Large Language Models)
Papers from Brent N. Reeves's perspective
Ordered by how strongly the researchers Brent N. Reeves trusts endorse each paper. Same corpus, a different order for every researcher.
- Evaluating Large Language Models Trained on Code (arXiv.org)
- The Robots Are Coming: Exploring the Implications of OpenAI Codex on Introductory Programming
- Automatic Generation of Programming Exercises and Code Explanations Using Large Language Models
- GitHub Copilot AI pair programmer: Asset or Liability?
- Asleep at the Keyboard? Assessing the Security of GitHub Copilot’s Code Contributions
- Conversing with Copilot: Exploring Prompt Engineering for Solving CS1 Problems Using Natural Language
- Pre-train, Prompt, and Predict: A Systematic Survey of Prompting Methods in Natural Language Processing
- DeepFix: Fixing Common C Language Errors by Deep Learning
- Robosourcing Educational Resources - Leveraging Large Language Models for Learnersourcing
- Competition-level code generation with AlphaCode
Their papers
- Computing Education in the Era of Generative AI (2023) — 325 citations
- Using Large Language Models to Enhance Programming Error Messages (2022) — 245 citations