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F2DR evaluates DeepSearch workflows across three dimensions: Content, Trajectory, and Answer, enabling comprehensive process-level assessment, and constructs DeepSearch RM-Bench, a dedicated benchmark for evaluating RMs in DeepSearch scenarios.
TRUSS reveals that incorporating execution evidence can dramatically improve both the safety and effectiveness of automated agent skills, achieving unprecedented vulnerability detection rates.
Over 95% reduction in backdoor attack success rates with only 0.1% neuron intervention reveals a breakthrough in LLM security.
