TELOS Governance Benchmark Dataset: Out-of-Scope Detection for Task-Oriented Dialogue Systems
收藏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
提供机构:
Zenodo创建时间:
2026-01-03



