Microsoft Research: LLMs Fail to Track Evolving User Intent in Multi-Turn Conversations
alan_ritter · x · 2026-07-28
A new paper from Microsoft Research introduces a framework transforming static, single-turn tasks into dynamic multi-turn conversations to evaluate LLMs. The study reveals that as user intent evolves—being incrementally disclosed, revised, or redirected—today's models struggle significantly to track and act on it. High performance in static settings does not transfer to dynamic scenarios, exposing a critical gap in LLMs acting as collaborative agents.
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