SAFE-PRO asks clarifying questions when image and text intent is ambiguous
The research combines uncertainty and cross-modal risk to decide when clarification is more useful than further reasoning alone.
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The research combines uncertainty and cross-modal risk to decide when clarification is more useful than further reasoning alone.
The research treats multi-turn policy auditing as a separate evaluation problem from task capability and harmful-content testing.
The framework decomposes long tasks and uses a progress function to shape lower-level reinforcement learning rewards.
Compatible Routing maintains experts in both modules and combines them according to relevance and cross-module compatibility.
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The theory introduces four normal forms and sound rewrite rules, with an implementation and a worked example described in the paper.
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Separate answer probes reveal influence that is less visible in group discussion, across the paper’s tested models and factual tasks.
The method scores tokens independently, with a conditional approximation guarantee and reported gains under matched cache budgets.
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