2 papers
cs.CV2026
How Do Video Foundation Models Encode Intuitive Physics? Probing Across Pretraining Paradigms
Samuele Punzo, Niccolò Caselli, Ippokratis Pantelidis +3
We study whether pretrained video foundation models encode intuitive-physics information in their frozen representations, and how this information varies across model families, lay…
cs.CL2025
Efficient Text Classification with Conformal In-Context Learning
Ippokratis Pantelidis, Korbinian Randl, Aron Henriksson
Large Language Models (LLMs) demonstrate strong in-context learning abilities, yet their effectiveness in text classification depends heavily on prompt design and incurs substantia…