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TELOS Governance Benchmark Dataset: Out-of-Scope Detection for Task-Oriented Dialogue Systems

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Zenodo2026-01-25 更新2026-05-26 收录
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https://zenodo.org/doi/10.5281/zenodo.18009152
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资源简介:
Benchmark results demonstrating the TELOS governance layer for purpose-aligned dialogue systems. TELOS provides continuous fidelity measurement of user-to-Ai alignment against an enterprise-declared Primacy Attractor (PA) to detect out-of-scope queries and conversational drift without requiring model fine-tuning. Key Results: - CLINC150 OOS Detection: 0% → 78% improvement with governance layer - MultiWOZ Drift Detection: 100% detection across all categories - Adversarial Resistance: Jailbreak attempts produce negative fidelity scores Benchmarks: - CLINC150 (Larson et al., 2019): Intent classification with out-of-scope detection - MultiWOZ 2.4 (Ye et al., 2022): Multi-domain task-oriented dialogue with injected drift   Validation Status: Proof-of-concept validation on academic benchmarks. Not certified for production deployment without domain-specific calibration.   License: Apache 2.0
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Zenodo
创建时间:
2026-01-03
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