Kai Liu

Artificial Intelligence · with Chen · 2024

A researcher in the Science corpus: 1 paper; trusts 2 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 25 citations into it
• Evaluation & Benchmarks — 6 citations into it
• Natural Language Processing — 6 citations into it

Whom Kai Liu trusts overall

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

1. Chin-Yew Lin
2. Dan Hendrycks
3. Andrey Malinin
4. Alex Kulesza
5. Nils Reimers
6. Amos Azaria
7. Geoffrey E. Hinton
8. Alex Krizhevsky
9. Diederik P. Kingma

Papers from Kai Liu's perspective

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

1. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
2. Attention is All you Need (Neural Information Processing Systems)
3. ImageNet classification with deep convolutional neural networks
4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
5. Long Short-Term Memory
6. Gradient-based learning applied to document recognition
7. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
8. ImageNet: A large-scale hierarchical image database
9. Learning Multiple Layers of Features from Tiny Images
10. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)

Their papers

• INSIDE: LLMs' Internal States Retain the Power of Hallucination Detection (2024) — 331 citations