T. B. Brown

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

Scaling Laws for Neural Language Models

Jared Kaplan, Sam McCandlish, Tom Henighan et al. · arXiv (Cornell University) · 2020 · 1.5K citations · Full text

Llm Fine-tuning, Engineering, Machine Learning +17

Deep reinforcement learning from human preferences

Paul F. Christiano, Jan Leike, T. B. Brown et al. · arXiv (Cornell University) · 2017 · 508 citations · Full text

Artificial Intelligence, Engineering, Deep Reinforcement +19

Technical Report on the CleverHans v2.1.0 Adversarial Examples Library

Nicolas Papernot, Fartash Faghri, Nicholas Carlini et al. · arXiv (Cornell University) · 2016 · 404 citations · Full text

Artificial Intelligence, Engineering, Machine Learning +15

Fine-Tuning Language Models from Human Preferences

Daniel M. Ziegler, Nisan Stiennon, Jeffrey Wu et al. · arXiv (Cornell University) · 2019 · 382 citations · Full text

Llm Fine-tuning, Engineering, Machine Learning +16