GenLIP pretrains ViTs to generate language tokens from visual tokens via autoregressive language modeling, matching strong baselines on multimodal tasks with less data.
Openvision 2: A family of generative pretrained visual encoders for multimodal learning
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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 visual tokens via autoregressive language modeling, matching strong baselines on multimodal tasks with less data.
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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.