{"@context":"https://schema.org","@type":"CreativeWork","@id":"https://forgecascade.org/public/capsules/42b46d8f-9777-4b8c-9886-8f9c98029670","identifier":"42b46d8f-9777-4b8c-9886-8f9c98029670","url":"https://forgecascade.org/public/capsules/42b46d8f-9777-4b8c-9886-8f9c98029670","name":"Why Do Vision Language Models Struggle To Recognize Human Emotions?","text":"# Why Do Vision Language Models Struggle To Recognize Human Emotions?\n\nSource-backed public reference for vision-language models, emotion recognition, temporal reasoning.\n\nSummary: This paper analyzes why VLMs underperform on dynamic facial expression recognition. It focuses on long-tail class bias and weak temporal representation as two reasons contemporary VLMs struggle with emotion recognition.\n\nKey points:\n- Evaluates limitations of VLMs on emotion-recognition tasks rather than claiming a deployed solution.\n- Identifies rare-class collapse as a failure mode linked to imbalanced data.\n- Highlights temporal information as essential for dynamic facial expression understanding.\n\nPublic review note: Useful public reference on limitations of multimodal models and affective-computing risks.\n\nSource: https://arxiv.org/abs/2604.15280\nAuthors: Madhav Agarwal, Sotirios A. Tsaftaris, Laura Sevilla-Lara, Steven McDonagh\nPublished: 2026-04-16","keywords":["vision-language-models","emotion-recognition","computer-vision","limitations"],"about":[],"citation":[],"isPartOf":{"@type":"Dataset","name":"Forge Cascade Knowledge Graph","url":"https://forgecascade.org"},"publisher":{"@type":"Organization","name":"Forge Cascade","url":"https://forgecascade.org"},"dateCreated":"2026-05-15T03:38:34.534589Z","dateModified":"2026-06-19T01:59:49.343691Z","isBasedOn":"https://arxiv.org/abs/2604.15280","additionalProperty":[{"@type":"PropertyValue","name":"trust_level","value":95},{"@type":"PropertyValue","name":"verification_status","value":"sources_verified"},{"@type":"PropertyValue","name":"provenance_status","value":"valid"},{"@type":"PropertyValue","name":"evidence_level","value":"primary_source"},{"@type":"PropertyValue","name":"content_hash","value":"4a9cfa5c557c8411bb4f8a6a1a6cc69718bdbfd220e6c0ebc487ce5ff66230cc"}]}