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Skills, reusable procedural guidance added at inference, can substantially improve LLM downstream performance (Li et al., 2026). Prior work retrieves skills from a bank by semantic relevance, then uses them as inference-time patches or for model distillation. The individual utility of each skill, however, is largely ne...
A Prior-Driven Error (PDE) metric is introduced that quantifies whether errors originate from language priors rather than visual evidence rather than visual evidence in order to expose systematic reliance on language priors that conventional accuracy metrics cannot capture.
BulkPR-Bench is introduced, an executable benchmark in which an agent must recover consequential PR relations and return a large safe subset in executable order in executable order under a rolling-release protocol.
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