Author

Lucas S. Kupssinskü

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#machine learning Jun 2026

Continual Learning for Sequential Personalization of Small Language Models: A Stability Monitoring Analysis

It is shown that lightweight reference set distributional diagnostics can reveal model-specific instability patterns during sequential LoRA personalization of SLMs, including cases where task-level metrics alone hide harmful adaptation.

Thomas S. Paula, L. Kupssinskü, Rodrigo C. Barros · arXiv.org · 0 citations

#natural language process... Aug 2026

Latent Fact-Checking: Detecting Misinformation through Activation Engineering

Findings provide evidence that truthfulness is a structured, linearly separable concept in the latent space of pretrained language models, and point toward interpretability-driven misinformation detection as a practical complement to retrieval-based pipelines.

P. Barcelos, Otávio Parraga, M. M. Delucis et al. · Lecture notes in computer sc... · 0 citations