GroundAct: Can LLM Agents Ground Actions in Environmental States? 事件

GroundAct: Can LLM Agents Ground Actions in Environmental States? arXiv:2508.05614v2 Announce Type: replace Abstract: LLM agents achieve 85-96% success on tasks where instructions fully specify the action, but drop to 29-53% when action feasibility depends on environmental state that the instruction does not mention. We argue that this gap reflects a missing capability: action grounding, the ability to infer from structured environmental state whether an action is feasible, what prerequisites i