AI Networking Cookbook: Practical recipes for AI-assisted network automation and development
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ASPO introduces an Adaptive Query-Selection Mechanism (AQSM) that focuses training on queries at the policy's competence boundary: those it can solve but not yet reliably, and introduces substructure-level rewards that measure output-quality gains within each action's descendant subgraph.
ChainSWE is introduced, the first benchmark for evaluating agents on sequential, dependent bug fixes within a shared codebase, and reveals a consistent performance drop by up to 70% as the chain length increases.
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