arXiv AI
Continuous Risk-Based Scheduling for Food Safety Inspection: Integrating Historical Decay with Event-Driven Consumer Review Signals
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REPORT-OPS: Hybrid Evidence-Guided Reporting with Human-Supervised Refinement for HPC
Operational reporting for high-performance computing (HPC) facilities requires combining information from monitoring services, schedulers, incident and maintenance records, storage measurements, perio...
arXiv AI
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ConMem: Contribution-Aware Memory for Long-Horizon Manufacturing Inspection Logs
arXiv:2607. 28126v2 Announce Type: replace Abstract: Long-horizon steel-equipment inspection requires reasoning over heterogeneous records accumulated across repeated inspection cycles.
arXiv AI
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Positive-Unlabeled Learning for Agent Safety False Alarm Auditing
The paper introduces a two‑stage framework for auditing false alarms in safety monitors for language‑model agents, treating the problem as a positive‑unlabeled (PU) ranking task. It adapts safe references toward the alarm domain, consolidates ordering from multiple PU models, and refines the ranking with structural guidance, all without requiring alarm safety labels. The method improves macro AUPRC to 0.6444 and recovers 33.3% more false alarms at a 5% review budget compared to leading PU baselines.
Hugging Face Trending Papers
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ConMem: Contribution-Aware Memory for Long-Horizon Manufacturing Inspection Logs
Long-horizon steel-equipment inspection requires reasoning over heterogeneous records accumulated across repeated inspection cycles. Existing retrieval-augmented generation systems treat historical logs as a static corpus and retain records without estimating their diagnostic value, failing to report early risk.
arXiv Machine Learning
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Evaluation Blindness: How Silent Measurement Failures Corrupt AI Systems from Training to Deployment
arXiv:2608. 02786v1 Announce Type: new Abstract: AI systems can fail silently.
arXiv AI
Jul 8
StepShield: When, Not Whether to Intervene on Rogue Agents
arXiv:2601. 22136v2 Announce Type: replace-cross Abstract: Agent safety benchmarks measure whether a monitor detects harm, not when.