Decoding Affective Nuances: Enhancing MLLMs via Hierarchical Emotion Reasoning and Contrastive Discriminative Pruning

arXiv:2609.36782 · cs.CV · Submitted 2026-09-29 · Read on arXiv

cs.CV

Submitted: 2026-09-29

Updated: 2026-09-29

Terminology

• Pruning — 42× in this paper · explained in 4 episodes
• Accuracy — 16× in this paper · explained in 1 episode
• Benchmark — 13× in this paper · explained in 2 episodes
• Ablation — 9× in this paper · explained in 1 episode
• Contrastive Discriminative Visual Pruning — 7× in this paper
• Decoding Affective Nuances — 7× in this paper
• Ablation study — 5× in this paper · explained in 1 episode
• Instruction Tuning — 4× in this paper · explained in 2 episodes
• Prompt Engineering — 4× in this paper · explained in 4 episodes
• Redundancy — 4× in this paper · explained in 2 episodes
• Computational overhead — 3× in this paper · explained in 2 episodes
• Fine-Tuning — 3× in this paper · explained in 5 episodes
• Generative AI — 3× in this paper · explained in 2 episodes
• In-Context Learning — 3× in this paper · explained in 4 episodes
• Ablation Studies — 2× in this paper · explained in 1 episode
• Actor — 2× in this paper · explained in 3 episodes
• Fine-Grained Image Classification — 2× in this paper
• Hallucination — 2× in this paper · explained in 4 episodes
• Transformer — 2× in this paper · explained in 2 episodes
• Vision-language models — 2× in this paper · explained in 2 episodes
• Adaptation — 1× in this paper · explained in 1 episode
• Adaptive Mechanism — 1× in this paper · explained in 1 episode
• Consistency — 1× in this paper · explained in 3 episodes
• Cosine Similarity — 1× in this paper · explained in 3 episodes
• Decode — 1× in this paper · explained in 2 episodes
• Generalization — 1× in this paper · explained in 13 episodes
• Hierarchical Emotional Reasoning Chain — 1× in this paper
• Mixture of Experts — 1× in this paper · explained in 2 episodes
• Multi-Agent Framework — 1× in this paper · explained in 3 episodes
• Multi-agent Collaboration — 1× in this paper · explained in 2 episodes
• Multimodal Inputs — 1× in this paper · explained in 2 episodes
• Multimodal Integration — 1× in this paper · explained in 2 episodes
• Reinforcement Learning — 1× in this paper · explained in 4 episodes
• Robustness — 1× in this paper · explained in 5 episodes
• Semantic Understanding — 1× in this paper · explained in 2 episodes
• Training-Free Framework — 1× in this paper · explained in 2 episodes
• Verification — 1× in this paper · explained in 2 episodes

Sources

• Qwen3-VL Technical Report
• Qwen2.5-VL Technical Report
• CreatiParser: Generative Image Parsing of Raster Graphic Designs into Editable Layers
• EMO-R3: Reflective Reinforcement Learning for Emotional Reasoning in Multimodal Large Language Models
• EmoStyle: Affective Conditioning of Style-Specialist Experts for Emotional Image Generation
• Fine-Grained Visual Classification of Aircraft
• InternVL3.5: Advancing Open-Source Multimodal Models in Versatility, Reasoning, and Efficiency

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