Chelsea Finn

Alignment & RLHF · with Rafailov · 2024

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

Whom Chelsea Finn trusts

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

  1. Paul Christiano (in Alignment & RLHF)

Papers from Chelsea Finn's perspective

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

  1. Proximal Policy Optimization Algorithms (arXiv.org)
  2. Language Models are Few-Shot Learners (Neural Information Processing Systems)
  3. Language Models are Unsupervised Multitask Learners
  4. Asynchronous Methods for Deep Reinforcement Learning
  5. Learning Transferable Visual Models From Natural Language Supervision (International Conference on Machine Learning)
  6. Deep Reinforcement Learning from Human Preferences (Neural Information Processing Systems)
  7. Finetuned Language Models Are Zero-Shot Learners
  8. Training language models to follow instructions with human feedback (Neural Information Processing Systems)
  9. Learning to summarize from human feedback
  10. Attention is All you Need (Neural Information Processing Systems)

Their papers