AI RESEARCH
TUX: Measuring Human--AI Tacit Understanding
arXiv CS.AI
•
ArXi:2605.30930v1 Announce Type: cross As large language models (LLMs) increasingly act as collaborative partners, human--AI alignment is often evaluated through explicit task success, accuracy, or reward optimization. Yet many collaborative settings depend on tacit understanding: whether an agent can align with a human's evaluative stance or representational priors without clear objectives, communication, or feedback.