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Unleashing the Power of Absence and Surprise
Can a machine be surprised? Learning via Surprisability teaches AI systems to form expectations and adjust when reality diverges.
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Lab Celebration: Eran's RecSys 2025 Paper!
PAIRSAT combines scarce satisfaction labels with abundant preference data to estimate user satisfaction in dialogue systems.
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Paper Alert: What Travelers Say vs. What They Rate
Across 137,000 hotel reviews, textual sentiment often diverges from star ratings — especially for solo travelers.
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Congratulations to Roi Alfassi — Part of His Master's Thesis Highlighted at HAI-GEN, IUI'2025!
Online Storytelling Spaces — participants' perceptions of overt and covert AI agents.
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From Feelings to Fingerprints: A Talk at the Department of Communication Colloquium
Two methods for analyzing online discourse — emotional signatures, and personal signatures via Learning via Surprisability.