Abstract: Reinforcement Learning from Human Feedback (RLHF) has become the predominant method for aligning large language models (LLMs) to be...

Abstract: We pose a fundamental question in computational learning theory: can we efficiently test whether a training set satisfies the...

One of the most striking findings in modern research on large language models (LLMs) is that, given a model and...

Abstract: Computer vision has made remarkable advances through data-driven learning of image-text associations. Large-scale vision and language models like…