De-huai Chen

Artificial Intelligence · 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 De-huai Chen trusts

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

  1. Noam Shazeer (in Model Architectures)

Papers from De-huai Chen's perspective

Ordered by how strongly the researchers De-huai Chen 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. Fast Transformer Decoding: One Write-Head is All You Need
  9. Hierarchical Neural Story Generation
  10. Sequence-Level Knowledge Distillation

Their papers