Mingwei Liu
Artificial Intelligence · with Wang · 2023–2024
A researcher in the Science corpus: 2 papers; trusts 1 researcher and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 41 citations into it
Whom Mingwei Liu trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
Papers from Mingwei Liu's perspective
Ordered by how strongly the researchers Mingwei Liu trusts endorse each paper. Same corpus, a different order for every researcher.
- Attention is All you Need (Neural Information Processing Systems)
- BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
- Long Short-Term Memory
- ImageNet classification with deep convolutional neural networks
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Language Models are Few-Shot Learners (Neural Information Processing Systems)
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Improving Language Understanding by Generative Pre-Training
- Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformer (Journal of machine learning research)
- Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
Their papers
- Evaluating Large Language Models in Class-Level Code Generation (2024) — 309 citations
- No More Manual Tests? Evaluating and Improving ChatGPT for Unit Test Generation (2023) — 211 citations