Mingxuan Ju

Artificial Intelligence · 2022

A researcher in the Science corpus: 1 paper; trusts 3 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 50 citations into it
• Natural Language Processing — 22 citations into it

Whom Mingxuan Ju trusts overall

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

1. Gautier Izacard

Papers from Mingxuan Ju's perspective

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

1. Language Models are Few-Shot Learners (Neural Information Processing Systems)
2. Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformer (Journal of machine learning research)
3. Attention is All you Need (Neural Information Processing Systems)
4. Long Short-Term Memory
5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
6. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
7. ImageNet classification with deep convolutional neural networks
8. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
9. The Curious Case of Neural Text Degeneration
10. TriviaQA: A Large Scale Distantly Supervised Challenge Dataset for Reading Comprehension

Their papers

• Generate rather than Retrieve: Large Language Models are Strong Context Generators (2022) — 431 citations