Yingying Wu

Artificial Intelligence · with Li · 2023

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 Yingying Wu trusts

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

  1. Denny Zhou (in Artificial Intelligence)

Papers from Yingying Wu's perspective

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

  1. Self-Consistency Improves Chain of Thought Reasoning in Language Models
  2. Chain of Thought Prompting Elicits Reasoning in Large Language Models (Neural Information Processing Systems)
  3. Large Language Models are Zero-Shot Reasoners
  4. Solving Quantitative Reasoning Problems with Language Models
  5. STaR: Bootstrapping Reasoning With Reasoning
  6. Least-to-Most Prompting Enables Complex Reasoning in Large Language Models
  7. Program of Thoughts Prompting: Disentangling Computation from Reasoning for Numerical Reasoning Tasks
  8. DeepCoder: Learning to Write Programs
  9. CodeT: Code Generation with Generated Tests
  10. LEVER: Learning to Verify Language-to-Code Generation with Execution (International Conference on Machine Learning)

Their papers