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MGSI reveals that integrating audio and visual sentiment cues at multiple temporal scales can dramatically enhance sentiment analysis accuracy in LLMs.
Hallucinations in sentimental image captions can be drastically reduced by grounding sentiment in verifiable object-level evidence.
Achieve state-of-the-art 3D object detection in adverse weather by adaptively routing between LiDAR, radar, and fused features based on learned weather conditions.
