1 citations · 1 across the 2 of their papers we have counts for
2 papers
cs.CL2026★ 1 cited
LLMs Capture Emotion Labels, Not Emotion Uncertainty: Distributional Analysis and Calibration of Human-LLM Judgment Gaps
Keito Inoshita, Xiaokang Zhou, Akira Kawai +1
Human annotators frequently disagree on emotion labels, yet most evaluations of Large Language Model (LLM) emotion annotation collapse these judgments into a single gold standard,…
cs.CV2026
Robust Low-Rank Sparse Framework for Video-Based Affective Computing
Feng-Qi Cui, Jinyang Huang, Sirui Zhao +4
Video-based Affective Computing (VAC), vital for emotion analysis and human-computer interaction, suffers from model instability and representational degradation due to complex emo…