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Causal tracing reveals that crucial visual tokens in VLMs often come from unexpected areas, challenging assumptions about spatial localization in multimodal reasoning.
Task-Conditional Flow Matching redefines multilingual embedding adaptation by tailoring optimization strategies to task-specific needs, achieving unprecedented improvements in embedding quality.
