Scott Mayer McKinney

Large Language Models · 2020–2023

A researcher in the Science corpus: 4 papers; trusts 1 researcher and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Scott Mayer McKinney trusts overall

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

  1. Louise Melvin
  2. Alec Radford

Who trusts Scott Mayer McKinney overall

  1. Samyadeep Basu

Papers from Scott Mayer McKinney's perspective

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

  1. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
  2. Language Models are Few-Shot Learners (Neural Information Processing Systems)
  3. Improving Language Understanding by Generative Pre-Training
  4. Scaling Laws for Neural Language Models (arXiv.org)
  5. Deep Reinforcement Learning from Human Preferences (Neural Information Processing Systems)
  6. Training Compute-Optimal Large Language Models (Advances in Neural Information Processing Systems 35)
  7. Attention is All you Need (Neural Information Processing Systems)
  8. ImageNet classification with deep convolutional neural networks
  9. Chain of Thought Prompting Elicits Reasoning in Large Language Models (Neural Information Processing Systems)
  10. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)

Their papers