RosaI. Arriaga
Large Language Models · 2007–2022
A researcher in the Science corpus: 2 papers; trusts 4 researchers and is trusted by 1 researcher here, as inferred from the citation graph.
Subfields
- Large Language Models — 16 citations into it
Whom RosaI. Arriaga trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
Who trusts RosaI. Arriaga overall
Papers from RosaI. Arriaga's perspective
Ordered by how strongly the researchers RosaI. Arriaga trusts endorse each paper. Same corpus, a different order for every researcher.
- Language Models are Unsupervised Multitask Learners
- Language Models are Few-Shot Learners (Neural Information Processing Systems)
- Attention is All you Need (Neural Information Processing Systems)
- ImageNet classification with deep convolutional neural networks
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
- Training language models to follow instructions with human feedback (Neural Information Processing Systems)
- Long Short-Term Memory
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Gradient-based learning applied to document recognition
Their papers
- Number discrimination in 10-month-old infants (2007) — 178 citations
- Using Large Language Models to Simulate Multiple Humans and Replicate Human Subject Studies (2022) — 755 citations