works on

From the 1 of 14 linked papers with an AI index.

activity
20242026
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14 papers

cs.CV2026

Causal Supervision of Attention for Affective Behaviour Analysis

Nemanja Rašajski, Konstantinos Makantasis, Antonios Liapis +1

The paper introduces a causal supervision and cross‑covariance regularization scheme for attention pooling that encourages subject‑invariant facial attention, improving multi‑task…

cs.AI2026

Agents' Last Exam

Yiyou Sun, Xinyang Han, Weichen Zhang +306

Recent AI systems have achieved strong results on a wide range of benchmarks, yet these gains have not translated into economically meaningful deployment across many professional d…

cs.AI2026

Learning Local Constraints for Reinforcement-Learned Content Generators

Debosmita Bhaumik, Julian Togelius, Georgios N. Yannakakis +1

Constraint-based game content generators that learn local constraints from existing content, such as Wave Function Collapse (WFC), can generate visually satisfying game levels but…

cs.CV2026

Can Large Language Models Capture Video Game Engagement?

David Melhart, Matthew Barthet, Georgios N. Yannakakis

Can out-of-the-box pretrained Large Language Models (LLMs) detect human affect successfully when observing a video? To address this question, for the first time, we evaluate compre…

cs.AI2026

PREFAB: PREFerence-based Affective Modeling for Low-Budget Self-Annotation

Jaeyoung Moon, Youjin Choi, Yucheon Park +3

Self-annotation is the gold standard for collecting affective state labels in affective computing. Existing methods typically rely on full annotation, requiring users to continuous…

cs.LG2025

Emotions as Ambiguity-aware Ordinal Representations

Jingyao Wu, Matthew Barthet, David Melhart +1

Emotions are inherently ambiguous and dynamic phenomena, yet existing continuous emotion recognition approaches either ignore their ambiguity or treat ambiguity as an independent a…