Andrew Tran

Computer Science Applications · 2022–2023

A researcher in the Science corpus: 3 papers; trusts 6 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Andrew Tran trusts overall

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

  1. Philip J. Guo
  2. Kirsti Ala-Mutka
  3. Juho Leinonen
  4. Paul Denny
  5. Nea Pirttinen
  6. Sami Sarsa
  7. Stephen MacNeil

Who trusts Andrew Tran overall

  1. Juho Leinonen
  2. Paul Denny
  3. Stephen MacNeil

Papers from Andrew Tran's perspective

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

  1. Language Models are Few-Shot Learners (Neural Information Processing Systems)
  2. Evaluating Large Language Models Trained on Code (arXiv.org)
  3. Program Synthesis with Large Language Models
  4. Pre-train, Prompt, and Predict: A Systematic Survey of Prompting Methods in Natural Language Processing
  5. A Survey of Automated Assessment Approaches for Programming Assignments (Computer Science Education)
  6. Further evidence of a relationship between explaining, tracing and writing skills in introductory programming
  7. Automatic Generation of Programming Exercises and Code Explanations Using Large Language Models
  8. The Robots Are Coming: Exploring the Implications of OpenAI Codex on Introductory Programming
  9. Conversing with Copilot: Exploring Prompt Engineering for Solving CS1 Problems Using Natural Language
  10. An Australasian study of reading and comprehension skills in novice programmers, using the bloom and SOLO taxonomies

Their papers