Bin Li

Artificial Intelligence · with He · 2022

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

• Artificial Intelligence — 38 citations into it
• Natural Language Processing — 24 citations into it

Whom Bin Li trusts

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

1. Hannaneh Hajishirzi (in Artificial Intelligence)

Papers from Bin Li's perspective

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

1. Attention is All you Need (Neural Information Processing Systems)
2. Language Models are Unsupervised Multitask Learners
3. Language Models are Few-Shot Learners (Neural Information Processing Systems)
4. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
5. Long Short-Term Memory
6. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
7. ImageNet classification with deep convolutional neural networks
8. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
9. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
10. Chain of Thought Prompting Elicits Reasoning in Large Language Models (Neural Information Processing Systems)

Their papers

• Large Language Models are Better Reasoners with Self-Verification (2022) — 424 citations