Litu Ou
Artificial Intelligence · 2023
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 Litu Ou trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
Papers from Litu Ou's perspective
Ordered by how strongly the researchers Litu Ou trusts endorse each paper. Same corpus, a different order for every researcher.
- Attention is All you Need (Neural Information Processing Systems)
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- ImageNet classification with deep convolutional neural networks
- Language Models are Few-Shot Learners (Neural Information Processing Systems)
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Long Short-Term Memory
- Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformer (Journal of machine learning research)
- BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
- Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
- Gradient-based learning applied to document recognition
Their papers
- Chain-of-Thought Hub: A Continuous Effort to Measure Large Language Models' Reasoning Performance (2023) — 134 citations
- Specializing Smaller Language Models towards Multi-Step Reasoning (2023) — 363 citations