Li Wang
npj Digit. Medicine · with Li · 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 Li Wang trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
Papers from Li Wang's perspective
Ordered by how strongly the researchers Li Wang 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)
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Attention is All you Need (Neural Information Processing Systems)
- When to use the Bonferroni correction (Ophthalmic & physiological optics)
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
- ImageNet classification with deep convolutional neural networks
- Language Models are Unsupervised Multitask Learners
- Language Models are Few-Shot Learners (Neural Information Processing Systems)
Their papers
- Prompt engineering in consistency and reliability with the evidence-based guideline for LLMs (2024) — 391 citations