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A new benchmark reveals that existing defect detection methods falter in novel production scenarios, highlighting the urgent need for severity-aware assessments in manufacturing.
Achieving trillion-parameter performance with just 35 billion parameters by scaling agent horizons reveals a new frontier in model efficiency.
HIPPO reveals that hint-injected pairwise aggregation can effectively eliminate shortcut reasoning in LLMs, leading to more authentic and transferable reasoning skills.
BabelTele achieves 99.5% semantic fidelity while reducing text volume to just 27.9%, challenging the necessity of human-readable language for LLMs.
