Kush S. Bhatia

Artificial Intelligence · 2022

A researcher in the Science corpus: 1 paper; trusts 2 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 45 citations into it
• Natural Language Processing — 21 citations into it
• Evaluation & Benchmarks — 14 citations into it

Whom Kush S. Bhatia trusts

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

1. Chin-Yew Lin (in Natural Language Processing)
2. Percy Liang (in Artificial Intelligence)

Papers from Kush S. Bhatia's perspective

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

1. Language Models are Few-Shot Learners (Neural Information Processing Systems)
2. Attention is All you Need (Neural Information Processing Systems)
3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
4. Training language models to follow instructions with human feedback (Neural Information Processing Systems)
5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
6. ImageNet classification with deep convolutional neural networks
7. Recursive Deep Models for Semantic Compositionality Over a Sentiment Treebank
8. Long Short-Term Memory
9. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
10. ROUGE: A Package for Automatic Evaluation of Summaries

Their papers

• Ask Me Anything: A simple strategy for prompting language models (2022) — 275 citations