Announcement_22

[Findings of ACL 2026] Our work on adaptive prompt optimization, “Adaptive Prompt Optimization for Open-Ended Tasks: Uncertainty Preference as a Secondary Signal,” has been accepted to Findings of ACL 2026. It uses semantic entropy to estimate task uncertainty and steer prompt selection toward higher-entropy candidates for creative tasks and lower-entropy candidates for conservative ones.