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Results show that scaling consistently improves performance, while multitask learning acts as a beneficial regularizer primarily for smaller-capacity models.
Routing tokens through a contrastive lens boosts expert specialization and yields up to 1.77 points improvement in zero-shot reasoning accuracy.
Non-ML cultural heritage experts can now independently analyze artifacts and validate findings using an intuitive, open-source computer vision platform.
Security concerns in LLM development are often neglected, with critical decisions made in stages that regulators can't see.
