research
∙
06/12/2022
Self-critiquing models for assisting human evaluators
We fine-tune large language models to write natural language critiques (...
share
research
∙
03/04/2022
Training language models to follow instructions with human feedback
Making language models bigger does not inherently make them better at fo...
research
∙
12/17/2021
WebGPT: Browser-assisted question-answering with human feedback
We fine-tune GPT-3 to answer long-form questions using a text-based web-...
research
∙
09/22/2021
Recursively Summarizing Books with Human Feedback
A major challenge for scaling machine learning is training models to per...
research
∙
09/02/2020
Learning to summarize from human feedback
As language models become more powerful, training and evaluation are inc...
research
∙
05/22/2018
Bayesian Inference of Regular Expressions from Human-Generated Example Strings
In programming by example, users "write" programs by generating a small ...
research
∙
11/26/2017
