Hao Wen
npj Digit. Medicine · 2024
A researcher in the Science corpus: 1 paper; trusts 1 researcher and is trusted by 0 researchers here, as inferred from the citation graph.
Whom Hao Wen trusts
Their strongest outbound trust, strongest first, inferred from their citations.
- Richard A. Armstrong (in Epidemiology)
Papers from Hao Wen's perspective
Ordered by how strongly the researchers Hao Wen trusts endorse each paper. Same corpus, a different order for every researcher.
- Self-Consistency Improves Chain of Thought Reasoning in Language Models
- Chain of Thought Prompting Elicits Reasoning in Large Language Models (Neural Information Processing Systems)
- When to use the Bonferroni correction (Ophthalmic & physiological optics)
- Language Models are Few-Shot Learners (Neural Information Processing Systems)
- Language Models are Unsupervised Multitask Learners
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Improving Language Understanding by Generative Pre-Training
- Adaptive Computation Time for Recurrent Neural Networks
- The Curious Case of Neural Text Degeneration
- Generating Long Sequences with Sparse Transformers
Their papers
- Prompt engineering in consistency and reliability with the evidence-based guideline for LLMs (2024) — 391 citations