Latest Research in Multimodal Affective Reasoning

Top Research Topics in Multimodal Affective Reasoning

• Emotion and Mood Recognition — 20 papers
• Computer Vision and Pattern Recognition — 19 papers
• Computation and Language — 14 papers
• Multimedia — 8 papers
• Artificial Intelligence — 6 papers
• Sentiment Analysis and Opinion Mining — 5 papers
• Mental Health via Writing — 3 papers
• Human-Computer Interaction — 2 papers
• Sound — 2 papers
• Machine Learning — 1 papers

Highest-Cited Papers

1. Long-Term Affective Persistence and Sentiment Transfer in Large Language Models
2. Between accuracy and empathy: A comparative study of human and transformer-based multi-label emotion annotation
3. Surfacing the Unsaid: CUE-Bench for Affective Stance in Chinese Discourse
4. A multimodal deep learning framework for real-time burnout detection and personalized intervention in foreign language teachers
5. Large Language Model-Assisted Distillation–Fusion Framework for Visual Emotion Recognition
6. Rationale-Guided Learning for Multimodal Emotion Recognition
7. Multimodal Ambivalence and Hesitancy Recognition via Cross-Attention and Gated Fusion
8. E$^3$mo-Bench: A Scalable Benchmark for Multimodal Evoked and Expressed Emotion Understanding via Bayesian Pairwise Alignment
9. EmoS: A Theory-Grounded Framework for Evaluating and Aligning Emotional Intelligence in Spoken Language Models
10. Expert-Guided Multimodal Fusion for Unified Emotion and Sentiment Analysis
11. Multilingual Emotion Neurons in Large Audio-Language Models
12. "Many Are My Names": The Anatomy of the Assistant and Its Personas via Sparse Autoencoders
13. CONFER: Conflict-Aware Evidence Negotiation for Regime-Calibrated Weak Supervision in Multimodal Emotion Recognition
14. Multi-Perspective Triad Interaction Graph Neural Network for Cognitive Distortion Detection
15. Long-Term Affective Persistence and Sentiment Transfer in Large Language Models
16. OneEmo: A Unified Multimodal Reasoning Model for Emotion Perception, Understanding, and Interaction
17. MIDAS: Mutual Information Disentanglement with Uncertainty-Aware Fusion for Incomplete Multimodal Sentiment Analysis
18. HAFT: Hierarchical Audio-Enhanced Fusion Transformer for Efficient Multimodal Sentiment Analysis
19. AffectAgent: Collaborative Multi-Agent Reasoning for Retrieval-Augmented Multimodal Emotion Recognition
20. Towards More Expressive Spoken LLMs: Fine-Grained Intent Benchmarking and Acoustic-Lexical Decoupled Policy Optimization

Sub-Regions

• Reproductive Health and Technologies — 42 papers
• Emotion and Mood Recognition — 29 papers
• Computer Vision and Pattern Recognition — 20 papers
• Computation and Language — 15 papers
• Computer Vision and Pattern Recognition — 1 papers