Korean RAG SSOT Golden 50
Abstract
[Metadata anonymized 2026-05-18 for privacy/blind-review hygiene. Permanent deletion requested via Zenodo Support. Original creator credit retained in private deposit history.] Korean-language Retrieval-Augmented Generation evaluation set of 50 hand-curated tasks for stress-testing real-world RAG agents on agent governance, autonomous trading, and security/PII redaction scenarios. Published by [redacted] (Wikidata [redacted]). Five categories — rag_v2_design (18), quant_v11 (8), ssot_governance (12), security_pii (6), operations (6) — with primary metric recall@10 ≥ 0.85 and four secondary metrics. Bilingual ko/en card. Companion data on Hugging Face: neogenesislab/korean-rag-ssot-golden-50.
Read the paper
Related studies
- Knowledge Management Perspective of Generative Artificial Intelligence
- Navigating Generative Artificial Intelligence Promises and Perils for Knowledge and Creative Work
- Characterizing the evolving research on enterprise content management
- Large language models and multimodal foundation models for precision oncology
- From Generative AI to Extended Reality: Multidisciplinary Perspectives on the Challenges, Opportunities, and Future of Educational Computing
- Generative Artificial Intelligence: A New Engine for Advancing Environmental Science and Engineering
Go deeper in Evidence Hub
Evidence Hub adds a study data sheet (design, sample size, evidence level, key numbers), an AI summary and a chat grounded in the paper's text.