Min-Yen Kan

Artificial Intelligence · with Xie · 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 Min-Yen Kan trusts

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

  1. Alex Graves (in Artificial Intelligence)

Papers from Min-Yen Kan's perspective

Ordered by how strongly the researchers Min-Yen Kan trusts endorse each paper. Same corpus, a different order for every researcher.

  1. Language Models are Few-Shot Learners (Neural Information Processing Systems)
  2. The Curious Case of Neural Text Degeneration
  3. Chain of Thought Prompting Elicits Reasoning in Large Language Models (Neural Information Processing Systems)
  4. Training Verifiers to Solve Math Word Problems
  5. Self-Consistency Improves Chain of Thought Reasoning in Language Models
  6. CommonsenseQA: A Question Answering Challenge Targeting Commonsense Knowledge
  7. On Calibration of Modern Neural Networks
  8. Sequence Transduction with Recurrent Neural Networks
  9. Beyond the Imitation Game: Quantifying and extrapolating the capabilities of language models
  10. Least-to-Most Prompting Enables Complex Reasoning in Large Language Models

Their papers