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cs.AI2026
Software Frameworks for Explainable AI in Time Series Classification: A Systematic Review
Louis Peter, Nils Gumpfer, Jana Fischer +2
Time series arise in a wide range of application domains and are analyzed using machine learning in decision-critical settings. Time series classification (TSC) is one of the most…
cs.CL2026
Persuasion Tokens for Editing Factual Knowledge in LLMs
Paul Youssef, Christin Seifert, Jörg Schlötterer
In-context knowledge editing (IKE) is a promising technique for updating Large Language Models (LLMs) with new information. However, IKE relies on lengthy, fact-specific demonstrat…