Gati Aher

Large Language Models · 2022

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

Subfields

• Large Language Models — 16 citations into it

Whom Gati Aher trusts overall

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

1. Anton Korinek
2. Alec Radford
3. Scott E. Page
4. K. Christianson
5. Mehdi Moussaïd
6. Liwei Jiang
7. Tomer D. Ullman
8. Michal Kosinski
9. Jeff Wu
10. Tom B. Brown

Papers from Gati Aher's perspective

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

1. Attention is All you Need (Neural Information Processing Systems)
2. ImageNet classification with deep convolutional neural networks
3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
4. Language Models are Unsupervised Multitask Learners
5. Language Models are Few-Shot Learners (Neural Information Processing Systems)
6. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
7. Long Short-Term Memory
8. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
9. ImageNet: A large-scale hierarchical image database
10. Gradient-based learning applied to document recognition

Their papers

• Using Large Language Models to Simulate Multiple Humans and Replicate Human Subject Studies (2022) — 755 citations