AI RESEARCH

TIDE: Proactive Multi-Problem Discovery via Template-Guided Iteration

arXiv CS.AI

ArXi:2606.04743v1 Announce Type: cross Agents are widely deployed as assistants over documents, tools, and code. However, they typically act only on explicit user requests, which surface only the problems the user has noticed, while many other important problems coexist, hidden in plain sight, within the broader user context, with their total number unknown in advance. We frame this as the task of discovering multiple hidden problems from context, in which coexisting problems should be uncovered, grounded in ing evidence, and paired with concrete actions. To this end, we