Dian Yu

arXiv.org · with Mi · 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.

Whom Dian Yu trusts overall

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

  1. Andrei Z. Broder

Papers from Dian Yu's perspective

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

  1. Chain of Thought Prompting Elicits Reasoning in Large Language Models (Neural Information Processing Systems)
  2. Scaling Laws for Neural Language Models (arXiv.org)
  3. Finetuned Language Models Are Zero-Shot Learners
  4. STaR: Bootstrapping Reasoning With Reasoning
  5. Large Language Models are Zero-Shot Reasoners
  6. Toolformer: Language Models Can Teach Themselves to Use Tools (Neural Information Processing Systems)
  7. Improving Factuality and Reasoning in Language Models through Multiagent Debate (International Conference on Machine Learning)
  8. Let's Verify Step by Step
  9. DeepSeek LLM: Scaling Open-Source Language Models with Longtermism
  10. Large Language Models as Tool Makers (International Conference on Learning Representations)

Their papers