… We hypothesize that large-scale semantic supervision, whether through categorical labels ImageNet or billion-scale captions LAION , naturally induces metadata-semantics correlations during pretraining, leading models to convert low-level signals into predictive features. …
… Generated by Qwen/Qwen2.5-Coder-32B-Instruct Massive unstructured multimodal streams suffer from high " data entropy ," impeding both efficient human knowledge acquisition and high-quality AI post-training. …
… In heterogeneous training systems , the total importance ratio should ideally be decomposed into two semantically distinct factors: a training--inference discrepancy term that aligns inference-side and training-side distributions at the same behavior-policy version, and a policy-staleness term that… …
… Despite rapid progress, top-tier multimodal search agents remain difficult to reproduce, largely due to the absence of open high-quality training data, transparent trajectory synthesis pipelines, or detailed training recipes. …
… Data, training/eval code, and training configs are available on GitHub, released under CC BY 4.0. …
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