Shivanshu Purohit

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 Shivanshu Purohit trusts overall

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

1. Nicholas Carlini

Papers from Shivanshu Purohit's perspective

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

1. Attention is All you Need (Neural Information Processing Systems)
2. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
3. Language Models are Unsupervised Multitask Learners
4. Language Models are Few-Shot Learners (Neural Information Processing Systems)
5. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
6. Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformer (Journal of machine learning research)
7. Improving Language Understanding by Generative Pre-Training
8. ImageNet classification with deep convolutional neural networks
9. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
10. Long Short-Term Memory

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