A dialogue simulation framework with hidden user states shows that moderate uncertainty about a user's profile can sometimes improve LLM assistant outcomes, but the evidence is limited to a single model configuration.
At difficulty level 1, all necessary information is explicitly provided; at level 5, critical information is omitted, requiring substantial inference
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
cs.AI 1years
2025 1verdicts
CONDITIONAL 1representative citing papers
citing papers explorer
-
WHEN TO ACT, WHEN TO WAIT: Modeling the Intent-Action Alignment Problem in Dialogue
A dialogue simulation framework with hidden user states shows that moderate uncertainty about a user's profile can sometimes improve LLM assistant outcomes, but the evidence is limited to a single model configuration.