MissMAC-Bench: Building Solid Benchmark for Missing Modality Issue in Robust Multimodal Affective Computing

arXiv:2602.00811 · cs.AI · Submitted 2026-01-31 · Read on arXiv

cs.AI

Submitted: 2026-01-31

Updated: 2026-10-08

Comments: Findings of EMNLP 2026

Code: https://github.com/RH-Lin/MissMAC-Bench

License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/

Terminology

• Benchmark — 4× in this paper · explained in 2 episodes
• Affective Computing — 3× in this paper · explained in 1 episode
• Multimodal Affective Computing — 3× in this paper
• Distribution Shift — 1× in this paper · explained in 7 episodes
• Distribution Shifts — 1× in this paper · explained in 2 episodes
• Generalization — 1× in this paper · explained in 13 episodes
• Multimodal Inputs — 1× in this paper · explained in 2 episodes
• Robustness — 1× in this paper · explained in 5 episodes

Sources

• Nonnegative Decomposition of Multivariate Information
• MOSI: Multimodal Corpus of Sentiment Intensity and Subjectivity Analysis in Online Opinion Videos

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