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Westlake University
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A new framework for EEG decoding boosts generalization across datasets while maintaining low training overhead and no extra inference costs.
Current QA benchmarks fail to capture nuanced user preferences, but CoPA reveals six key personalization factors that can help models finally understand what users *really* want.
Pixel-based language models can now handle multiple languages and scripts, achieving strong multilingual performance and robustness without tokenization.
