2 papers
cs.CR2026
Tracing the Data Trail: A Survey of Data Provenance, Transparency and Traceability in LLMs
Richard Hohensinner, Belgin Mutlu, Inti Gabriel Mendoza Estrada +3
Large language models (LLMs) are deployed at scale, yet their training data life cycle remains opaque. This survey synthesizes research from the past ten years on three tightly cou…
cs.LG2021
Towards a General Framework to Embed Advanced Machine Learning in Process Control Systems
Stefan Schrunner, Michael Scheiber, Anna Jenul +3
Since high data volume and complex data formats delivered in modern high-end production environments go beyond the scope of classical process control systems, more advanced tools i…