Li Yuan

Artificial Intelligence · with Jin · 2024

A researcher in the Science corpus: 1 paper; trusts 2 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Li Yuan trusts

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

  1. Alex Graves (in Artificial Intelligence)
  2. Quoc V. Le (in Artificial Intelligence)

Papers from Li Yuan's perspective

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

  1. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
  2. Chain of Thought Prompting Elicits Reasoning in Large Language Models (Neural Information Processing Systems)
  3. Sequence Transduction with Recurrent Neural Networks
  4. Did Aristotle Use a Laptop? A Question Answering Benchmark with Implicit Reasoning Strategies
  5. Visual Programming: Compositional visual reasoning without training
  6. Scaling LLM Test-Time Compute Optimally can be More Effective than Scaling Model Parameters (arXiv.org)
  7. Distilling Step-by-Step! Outperforming Larger Language Models with Less Training Data and Smaller Model Sizes
  8. GPT-4o System Card
  9. Visual CoT: Advancing Multi-Modal Language Models with a Comprehensive Dataset and Benchmark for Chain-of-Thought Reasoning (Neural Information Processing Systems)
  10. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)

Their papers