Meng Fang

Artificial Intelligence · with Chen · 2023

A researcher in the Science corpus: 1 paper; trusts 4 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 29 citations into it
• Safety, Robustness & Interpretability — 15 citations into it
• Large Language Models — 6 citations into it

Whom Meng Fang trusts overall

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

1. Alec Radford
2. Diederik P. Kingma
3. Geoffrey E. Hinton
4. Haochen Liu
5. Jimmy Ba
6. Jacob Devlin
7. Yoshua Bengio
8. Ilya Sutskever
9. Anne Lauscher
10. Shikha Bordia

Papers from Meng Fang's perspective

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

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

Their papers

• CHBias: Bias Evaluation and Mitigation of Chinese Conversational Language Models (2023) — 36 citations