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Jin-Yang Wu

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#artificial intelligence Preprint Sep 2026

SAIL: Spatial Audio Intelligence with Large Language Models via Disentangled Acoustic-Spatial Encoding and Dual-Stream Q-Former

Spatial audio large language models (LLMs) enable embodied agents, wearable assistants, and immersive systems to recognize sound events, localize sources, and reason about their spatial relationships. However, existing spatial audio LLMs often rely on early fusion of acoustic and spatial features and source-agnostic to...

Zheng-Ding Luo, Jin-Yang Wu, Hao-Zhe Ma et al. · 0 citations
#computer vision Preprint Sep 2026

RobotEQ-Video: A Video-Centric Benchmark for Social Proactive Intelligence with World-State Taxonomy

Social Proactive Intelligence (SPI) extends proactive assistance beyond task completeness to consider social appropriateness in diverse embodied scenarios. However, prior SPI research faces two key limitations. First, existing work focuses on static images, whereas dynamic videos provide crucial cues for inferring huma...

Xin-Yi Che, Zheng Lian, Kuo-Fei Fang et al. · 0 citations
Preprint Aug 2026

VideoGAIA: A Benchmark for General AI Assistants on Agentic Video Understanding

Video understanding is a fundamental task for evaluating the capabilities of multimodal large language models (MLLMs). However, existing leading models have already achieved approximately 90% accuracy on the Video-MME leaderboard, suggesting that conventional single-turn video understanding tasks are becoming increasin...

Fan Zhang, Guang-Ming Yao, Jin-Yang Wu et al. · 0 citations

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