Jason D. Lee

Artificial Intelligence · with Cai · 2024

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

Subfields

Whom Jason D. Lee trusts overall

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

  1. Noam Shazeer

Papers from Jason D. Lee's perspective

Ordered by how strongly the researchers Jason D. Lee 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. Training Compute-Optimal Large Language Models (Advances in Neural Information Processing Systems 35)
  4. The Curious Case of Neural Text Degeneration
  5. PaLM: Scaling Language Modeling with Pathways (Journal of machine learning research)
  6. OPT: Open Pre-trained Transformer Language Models
  7. LoRA: Low-Rank Adaptation of Large Language Models (International Conference on Learning Representations)
  8. Hierarchical Neural Story Generation
  9. Fast Transformer Decoding: One Write-Head is All You Need
  10. Sequence-Level Knowledge Distillation

Their papers