REDACT is a new systematically controlled multilingual PII detection benchmark with 51 entity types, sensitivity-tier metadata, and stratified evaluation revealing that rule-based detectors fail on high-stakes data while LLM detectors are more robust.
Sygra: A unified graph-based framework for scalable generation, quality tagging, and management of synthetic data
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EVA-Bench supplies a simulation engine for bot-to-bot voice dialogues plus two composite metrics (EVA-A for accuracy, EVA-X for experience) evaluated on 213 enterprise scenarios, showing no tested system exceeds 0.5 on both pass@1 scores.
In configurable enterprise systems, runtime discovery of transition dynamics from system configuration is more robust to deployment shifts than offline-trained world models.
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REDACT: A Systematically Controlled Multilingual Benchmark for Personal Information Detection
REDACT is a new systematically controlled multilingual PII detection benchmark with 51 entity types, sensitivity-tier metadata, and stratified evaluation revealing that rule-based detectors fail on high-stakes data while LLM detectors are more robust.