Joseph O'Brien

Natural Language Processing · 2023

A researcher in the Science corpus: 1 paper; trusts 2 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Joseph O'Brien trusts overall

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

  1. Terry Winograd
  2. David R. Thomas
  3. John Edwin Laird
  4. Marcel Binz
  5. Bernhard Schölkopf
  6. Ralf Herbrich

Papers from Joseph O'Brien's perspective

Ordered by how strongly the researchers Joseph O'Brien trusts endorse each paper. Same corpus, a different order for every researcher.

  1. Language Models are Few-Shot Learners (Neural Information Processing Systems)
  2. Training language models to follow instructions with human feedback (Neural Information Processing Systems)
  3. Grandmaster level in StarCraft II using multi-agent reinforcement learning
  4. On the Opportunities and Risks of Foundation Models
  5. Chain of Thought Prompting Elicits Reasoning in Large Language Models (Neural Information Processing Systems)
  6. Attention is All you Need (Neural Information Processing Systems)
  7. The psychology of human-computer interaction
  8. Dota 2 with Large Scale Deep Reinforcement Learning
  9. Recursively Summarizing Books with Human Feedback
  10. Making Pre-trained Language Models Better Few-shot Learners

Their papers