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A single model can now achieve state-of-the-art performance in both word and sentence alignment across multiple languages, simplifying the alignment process significantly.
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.