Beidi Chen

Artificial Intelligence · with Acun · 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 Beidi Chen trusts

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

  1. Noam Shazeer (in Artificial Intelligence)

Papers from Beidi Chen's perspective

Ordered by how strongly the researchers Beidi 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. Dropout: a simple way to prevent neural networks from overfitting
  3. LLaMA: Open and Efficient Foundation Language Models (arXiv.org)
  4. GPTQ: Accurate Post-Training Quantization for Generative Pre-trained Transformers
  5. Fast Transformer Decoding: One Write-Head is All You Need
  6. High-throughput Generative Inference of Large Language Models with a Single GPU
  7. LLM.int8(): 8-bit Matrix Multiplication for Transformers at Scale
  8. GQA: Training Generalized Multi-Query Transformer Models from Multi-Head Checkpoints
  9. The RefinedWeb Dataset for Falcon LLM: Outperforming Curated Corpora with Web Data, and Web Data Only
  10. Efficient Memory Management for Large Language Model Serving with PagedAttention

Their papers