Arvind Neelakantan

Language Models are Few-Shot Learners

T. B. Brown, Benjamin Mann, Nick Ryder et al. · arXiv (Cornell University) · 2020 · 3K citations · Full text

Artificial Intelligence, Few-shot Learning, Llm Fine-tuning +20

Efficient Non-parametric Estimation of Multiple Embeddings per Word in Vector Space

Arvind Neelakantan, Jeevan Shankar, Alexandre Passos et al. · 2014 · 461 citations · Full text

Adding Gradient Noise Improves Learning for Very Deep Networks

Arvind Neelakantan, Luke Vilnis, Quoc V. Le et al. · arXiv (Cornell University) · 2015 · 265 citations · Full text

Llm Fine-tuning, Convolutional Neural Network, Engineering +16

Compositional Vector Space Models for Knowledge Base Completion

Arvind Neelakantan, Benjamin Roth, Andrew McCallum · 2015 · 231 citations · Full text

Natural Language Processing, Applied Linguistics, Knowledge Base +15

Text and Code Embeddings by Contrastive Pre-Training

Arvind Neelakantan, Tao Xu, Raul Puri et al. · arXiv (Cornell University) · 2022 · 147 citations · Full text

Llm Fine-tuning, Engineering, Machine Learning +20