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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.
