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cs.AI2026
SeLMRoute: Probabilistic Semantic Evidence for Large Language Model Routing
Vasilis Perifanis, Nikolaos Pavlidis, Symeon Symeonidis
Large language model (LLM) routing aims to select the most suitable model for each incoming query. Most existing routers learn this decision directly from query embeddings, model r…
cs.AI2025
Large Language Models as Universal Predictors? An Empirical Study on Small Tabular Datasets
Nikolaos Pavlidis, Vasilis Perifanis, Symeon Symeonidis +1
Large Language Models (LLMs), originally developed for natural language processing (NLP), have demonstrated the potential to generalize across modalities and domains. With their in…