Zhaozhuo Xu

Artificial Intelligence · with Braverman · 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 Zhaozhuo Xu trusts

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

  1. Noam Shazeer (in Artificial Intelligence)

Papers from Zhaozhuo Xu's perspective

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

  1. Language Models are Few-Shot Learners (Neural Information Processing Systems)
  2. LLaMA: Open and Efficient Foundation Language Models (arXiv.org)
  3. GPTQ: Accurate Post-Training Quantization for Generative Pre-trained Transformers
  4. Fast Transformer Decoding: One Write-Head is All You Need
  5. SmoothQuant: Accurate and Efficient Post-Training Quantization for Large Language Models
  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. The RefinedWeb Dataset for Falcon LLM: Outperforming Curated Corpora with Web Data, and Web Data Only
  9. GQA: Training Generalized Multi-Query Transformer Models from Multi-Head Checkpoints
  10. Efficient Memory Management for Large Language Model Serving with PagedAttention

Their papers