Long Ouyang

Self-critiquing models for assisting human evaluators

2022 · arXiv (Cornell University)

We fine-tune large language models to write natural language critiques (natural language critical comments) using behavioral cloning. On a topic-based summarization task, critiques written by our models help humans find flaws in summaries that they …

Training language models to follow instructions with human feedback

2022 · arXiv (Cornell University)

Making language models bigger does not inherently make them better at following a user's intent. For example, large language models can generate outputs that are untruthful, toxic, or simply not helpful to the user. In …