AI RESEARCH

Theory of Mind in Action: The Instruction Inference Task in Dynamic Human-Agent Collaboration

arXiv CS.AI

ArXi:2507.02935v2 Announce Type: replace-cross Successful human-agent teaming relies on an agent being able to understand instructions given by a (human) principal. In many cases, an instruction may be incomplete or ambiguous. In such cases, the agent must infer the unspoken intentions from their shared context, that is, it must exercise the principal's Theory of Mind (ToM) and infer the mental states of its principal. We consider the prospects of effective human-agent collaboration using large language models (LLMs.