Intent Mismatch in Multi-Turn Conversations¶
Liu et al. "Intent Mismatch in Multi-Turn Conversations." arXiv:2602.07338, 2026.
Key findings used in wiki¶
- Identifies intent alignment gap as the root cause of multi-turn conversational failures
- Models progressively lose track of the user's original intent as conversations extend
- Intent mismatch accumulates silently, often without user awareness until harm occurs
- Proposes a taxonomy of intent drift failure modes relevant to caregiving conversations
- Supports InvisibleBench's design principle that safety must be evaluated across full conversation arcs