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Argus is proposed, an agent-based framework that operationalizes classical rhetoric for persuasive writing and consistently outperforms strong baselines across multiple backbone models, achieving top rankings and the highest overall scores.
This survey focuses on visual humor understanding in single-image and multi-panel artifacts, while treating humor generation as an emerging downstream frontier, and synthesizes benchmark design, evaluation protocols, and modeling paradigms based on multimodal alignment, evidence-grounded reasoning, and controlled gener...
This survey provides a comprehensive and unified overview of recent advances in spatial intelligence for VLMs, summarize core concepts behind spatial reasoning in VLMs, analyze why spatial failures occur, and organize existing solutions into a clear framework spanning prompting-based techniques, model improvements, exp...
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