Haitao Mi

arXiv.org · with Yu · 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 Haitao Mi trusts overall

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

  1. Andrei Z. Broder

Papers from Haitao Mi's perspective

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

  1. Scaling Laws for Neural Language Models (arXiv.org)
  2. Chain of Thought Prompting Elicits Reasoning in Large Language Models (Neural Information Processing Systems)
  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. DeepSeek LLM: Scaling Open-Source Language Models with Longtermism
  8. Let's Verify Step by Step
  9. Improving Factuality and Reasoning in Language Models through Multiagent Debate (International Conference on Machine Learning)
  10. Plan-and-Solve Prompting: Improving Zero-Shot Chain-of-Thought Reasoning by Large Language Models (Annual Meeting of the Association for Computational Linguistics)

Their papers