GenLIP pretrains ViTs to generate language tokens from images via LM objective without contrastive batches or extra decoders, matching baselines on less data and improving on OCR after multi-resolution continued pretraining.
InInternational Conference on Multimedia
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Survey of Music AVQA finds specialized input processing, dedicated spatial-temporal designs, and music-specific modeling are critical for strong performance.
EXAONE 4.5 is a new open-weight multimodal model that matches general benchmarks and outperforms similar-scale models on document understanding and Korean contextual reasoning.
citing papers explorer
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Let ViT Speak: Generative Language-Image Pre-training
GenLIP pretrains ViTs to generate language tokens from images via LM objective without contrastive batches or extra decoders, matching baselines on less data and improving on OCR after multi-resolution continued pretraining.
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Music Audio-Visual Question Answering Requires Specialized Multimodal Designs
Survey of Music AVQA finds specialized input processing, dedicated spatial-temporal designs, and music-specific modeling are critical for strong performance.
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EXAONE 4.5 Technical Report
EXAONE 4.5 is a new open-weight multimodal model that matches general benchmarks and outperforms similar-scale models on document understanding and Korean contextual reasoning.