CausalGuard aggregates LLM-proposed and data-pruned DAGs to weight doubly robust pseudo-outcomes and applies conformal calibration to deliver finite-sample marginal coverage for conditional average treatment effects under graph uncertainty.
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cs.LG 3years
2026 3verdicts
UNVERDICTED 3representative citing papers
RMemSafe attenuates source anchoring via entropy gating when the frozen source model degrades, yielding lower error than prior methods on continual corruption benchmarks and shallower degradation under source failure.
Presents T3+OCSVM detector for privacy policy enforcement in RAG achieving 0.93+ borderline AUROC, 44-55 point false positive reduction, and millisecond latency via synthetic data stress tests.
citing papers explorer
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CausalGuard: Conformal Inference under Graph Uncertainty
CausalGuard aggregates LLM-proposed and data-pruned DAGs to weight doubly robust pseudo-outcomes and applies conformal calibration to deliver finite-sample marginal coverage for conditional average treatment effects under graph uncertainty.
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Reliability-Gated Source Anchoring for Continual Test-Time Adaptation
RMemSafe attenuates source anchoring via entropy gating when the frozen source model degrades, yielding lower error than prior methods on continual corruption benchmarks and shallower degradation under source failure.
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Privacy Policy Enforcement Guardrails for Data-Sensitive Retrieval-Augmented Generation
Presents T3+OCSVM detector for privacy policy enforcement in RAG achieving 0.93+ borderline AUROC, 44-55 point false positive reduction, and millisecond latency via synthetic data stress tests.