Stephen MacNeil

Computer Science Applications · 2021–2023

A researcher in the Science corpus: 4 papers; trusts 7 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Stephen MacNeil trusts overall

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

  1. Philip J. Guo
  2. Maria Lungu
  3. Kirsti Ala-Mutka
  4. Juho Leinonen
  5. Paul Denny
  6. Nea Pirttinen
  7. Sami Sarsa
  8. Arto Hellas
  9. Shraddha Barke
  10. Petri Ihantola

Who trusts Stephen MacNeil overall

  1. Juho Leinonen
  2. Paul Denny
  3. Angela Fan
  4. Arto Hellas
  5. Sami Sarsa
  6. James Prather
  7. Andrew Tran

Papers from Stephen MacNeil's perspective

Ordered by how strongly the researchers Stephen MacNeil 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. Attention is All you Need (Neural Information Processing Systems)
  4. Program Synthesis with Large Language Models
  5. Pre-train, Prompt, and Predict: A Systematic Survey of Prompting Methods in Natural Language Processing
  6. ImageNet classification with deep convolutional neural networks
  7. Further evidence of a relationship between explaining, tracing and writing skills in introductory programming
  8. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  9. An Australasian study of reading and comprehension skills in novice programmers, using the bloom and SOLO taxonomies
  10. A Survey of Automated Assessment Approaches for Programming Assignments (Computer Science Education)

Their papers