Reasoning about Intent for Ambiguous Requests

ArXi:2511.10453v3 Announce Type: replace-cross Large language models often respond to ambiguous requests by implicitly committing to one interpretation, frustrating users and creating safety risks when that interpretation is wrong. We propose generating a single structured response that enumerates the different ways an ambiguous request can be interpreted, each coupled with a corresponding answer.