3 papers
cs.CL2026
Test-Time Scaling for Small VLMs on Multilingual Visual MCQ
Spiros Baxevanakis, Peng-Jian Yang
Test-time scaling (TTS) reliably improves reasoning in large language models, but whether it transfers to small open vision-language models remains unclear. We examine this on EXAM…
cs.CV2026
Do All Vision Transformers Need Registers? A Cross-Architectural Reassessment
Spiros Baxevanakis, Platon Karageorgis, Ioannis Dravilas +1
Training Vision Transformers (ViTs) presents significant challenges, one of which is the emergence of artifacts in attention maps, hindering their interpretability. Darcet et al. (…
cs.CV2025
Do DeepFake Attribution Models Generalize?
Spiros Baxavanakis, Manos Schinas, Symeon Papadopoulos
Recent advancements in DeepFake generation, along with the proliferation of open-source tools, have significantly lowered the barrier for creating synthetic media. This trend poses…