AI RESEARCH

LHAW: Controllable Underspecification for Long-Horizon Tasks

arXiv CS.AI

ArXi:2602.10525v2 Announce Type: replace-cross Long-horizon workflow agents that operate effectively over extended periods are essential for truly autonomous systems. Their reliable execution critically depends on the ability to reason through ambiguous situations in which clarification seeking is necessary to ensure correct task execution. However, progress is limited by the lack of scalable, task-agnostic frameworks for systematically curating and measuring the impact of ambiguity across custom workflows. We address this gap by