They formulated a new task setting: Interactive Intent Alignment, where user intent may be miscommunicated and change during interaction.
New benchmark tests if LLM agents can handle miscommunication and shifting user goals
Drift-Bench++ simulates realistic interactions where users give incomplete instructions, change their minds, and have limited patience.
Independent
Zheyuan Zhang · Mengyuan Chao · Ke Xiao · Ziyi Chen · Daoan Zhang · Yan Zhang · +2 more
Research Digest··2 min read
The authors introduce Interactive Intent Alignment, a task setting where agents must recover and track user intent despite miscommunication and evolving goals.
Why this paper
Independent
In one line
LLM agents struggle to track evolving user intent under miscommunication, with large gaps from oracle performance.
What we could check
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