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This work proposes a fully local cascade framework that reframes de-identification from open-ended entity recognition to constrained privacy triage, and evaluates three reviewer configurations against same-family LLM-only baselines and a commercial API on math tutoring transcripts from two large platforms.
SQL-RewriteBench is presented, a benchmark for statement-level SQL rewriting that applies correctness gating and full-denominator accounting and shows that deployable SQL rewrite requires broader input handling, result validation, and benefit-aware rewrite decisions.
Fed-LSVI is proposed, the first provably efficient federated algorithm for online reinforcement learning with linear function approximation in episodic Markov decision processes and achieves a regret bound of $\widetilde{\mathcal O}(\sqrt{Md^3H^4T})$, matching the best-known regret for multi-agent online reinforcement...
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