2 papers indexed here
We haven’t gathered this author’s papers yet. Follow them and we’ll fetch their work.
Not the right person? Other researchers publish under this name.
It is proposed that factual sycophancy arises when in-context updating gives a user's assertion excessive weight relative to its evidence, a trade-off that calls for evaluations measuring both behaviors and mitigations that decouple them.
AI models serving a heterogeneous population must act on the principles appropriate to each user and context. While post-training has been shown to narrow the views large language models express, prior work has focused on default behavior rather than the ability to adapt to in-context information. We show that post-tra...
We use cookies to run the site and, with your consent, for analytics and to show ads. See our Cookie Policy.
