USVSN Sai Prashanth

Artificial Intelligence · 2022–2023

A researcher in the Science corpus: 3 papers; trusts 9 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 174 citations into it
• Large Language Models — 86 citations into it

Whom USVSN Sai Prashanth trusts overall

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

1. Nicholas Carlini
2. Geoffrey E. Hinton
3. Stella Biderman
4. Sid Black
5. Diederik P. Kingma
6. Alex Krizhevsky
7. Yoshua Bengio
8. Leo Gao
9. Jared Kaplan
10. Ilya Sutskever

Papers from USVSN Sai Prashanth's perspective

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

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

Their papers

• GPT-NeoX-20B: An Open-Source Autoregressive Language Model (2022) — 1,029 citations
• Pythia: A Suite for Analyzing Large Language Models Across Training and Scaling (2023) — 2,009 citations
• Emergent and Predictable Memorization in Large Language Models (2023) — 192 citations