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University of Edinburgh
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Pixel-based language models can now handle multiple languages and scripts, achieving strong multilingual performance and robustness without tokenization.
Hybrid Transformer-SSM architectures can match or exceed pure Transformers in data-efficient in-context retrieval, but only if the task doesn't require precise positional reasoning.
