SocialOmni: Benchmarking Audio-Visual Social Interactivity in Omni Models
#SocialOmni #audio-visual #social interactivity #omni models #benchmark #multimodal AI #AI evaluation
📌 Key Takeaways
- SocialOmni is a new benchmark for evaluating audio-visual social interactivity in omni models.
- It assesses how well AI models understand and respond to social cues in combined audio and visual data.
- The benchmark aims to advance multimodal AI systems in social interaction tasks.
- It provides standardized metrics for comparing performance across different omni models.
📖 Full Retelling
arXiv:2603.16859v1 Announce Type: new
Abstract: Omni-modal large language models (OLMs) redefine human-machine interaction by natively integrating audio, vision, and text. However, existing OLM benchmarks remain anchored to static, accuracy-centric tasks, leaving a critical gap in assessing social interactivity, the fundamental capacity to navigate dynamic cues in natural dialogues. To this end, we propose SocialOmni, a comprehensive benchmark that operationalizes the evaluation of this convers
🏷️ Themes
AI Benchmarking, Multimodal AI
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Original Source
arXiv:2603.16859v1 Announce Type: new
Abstract: Omni-modal large language models (OLMs) redefine human-machine interaction by natively integrating audio, vision, and text. However, existing OLM benchmarks remain anchored to static, accuracy-centric tasks, leaving a critical gap in assessing social interactivity, the fundamental capacity to navigate dynamic cues in natural dialogues. To this end, we propose SocialOmni, a comprehensive benchmark that operationalizes the evaluation of this convers
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