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J. Jitsev

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Preprint Aug 2026

LAION-BVD: A 10-Million-Hour Open Video Dataset for Multimodal Pre-training

We present LAION-BVD, a large-scale open video dataset for multimodal learning, which contains 1.3B platform-specific video URLs collected from CommonCrawl. From these, we download 80M videos with a total duration of 10 million hours. The dataset is designed for multimodal pre-training across the video, audio, and imag...

Andreas Hochlehnert, Marianna Nezhurina, M. Cherti et al. · 0 citations
#machine learning Preprint Sep 2026

Complex KDA: Understanding and Enhancing the Expressivity of Kimi Delta Attention

Linear RNNs based on the delta-rule enable efficient sequence modeling, but their linear updates with a low-rank correction constrain their expressivity. Prior work has shown that composing two delta-rule transitions in a single recurrent update can model a 2D rotation, but this increases the rank and the cost of the u...

Julien Siems, Riccardo Grazzi, Korbinian Pöppel et al. · 0 citations
#artificial intelligence Preprint Aug 2026

Deriving Scaling Laws for OpenEuroLLM Models: Learning Rate, Batch Size and Loss

This study establishes a first baseline and scaling procedure for the development of future OpenEuroLLM models, and characterize the dependence of loss on model capacity and dataset size, evaluating recently proposed scaling forms that explicitly model their interaction.

Niccolò Ajroldi, Diana-Alexandra Onutu, Haider Al-Tahan et al. · 1 citation

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