Lintang Sutawika
Artificial Intelligence · 2021–2023
A researcher in the Science corpus: 8 papers; trusts 13 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 310 citations into it
- Large Language Models — 144 citations into it
Whom Lintang Sutawika trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
Papers from Lintang Sutawika's perspective
Ordered by how strongly the researchers Lintang Sutawika trusts endorse each paper. Same corpus, a different order for every researcher.
- Attention is All you Need (Neural Information Processing Systems)
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- ImageNet classification with deep convolutional neural networks
- Language Models are Unsupervised Multitask Learners
- Long Short-Term Memory
- Distributed Representations of Words and Phrases and their Compositionality (Neural Information Processing Systems)
- Language Models are Few-Shot Learners (Neural Information Processing Systems)
- BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
- Gradient-based learning applied to document recognition
Their papers
- Multitask Prompted Training Enables Zero-Shot Task Generalization (2021) — 2,030 citations
- Pythia: A Suite for Analyzing Large Language Models Across Training and Scaling (2023) — 2,009 citations
- Crosslingual Generalization through Multitask Finetuning (2023) — 602 citations
- What Language Model to Train if You Have One Million GPU Hours? (2022) — 125 citations
- Emergent and Predictable Memorization in Large Language Models (2023) — 192 citations
- BLOOM+1: Adding Language Support to BLOOM for Zero-Shot Prompting (2022) — 114 citations
- BLOOM: A 176B-Parameter Open-Access Multilingual Language Model (2022) — 2,975 citations
- Multitask Prompted Training Enables Zero-Shot Task Generalization (2022) — 242 citations