2 papers
cs.CL2026
World Models in Words: Auditing Physical State-Transition Commitments in Vision-Language Models
Emmanuelle Bourigault
Vision-language models (VLMs) are increasingly used to answer questions about physical scenes, yet most evaluations reduce performance to a final answer. This hides whether the mod…
cs.CV2025
FrEVL: Leveraging Frozen Pretrained Embeddings for Efficient Vision-Language Understanding
Emmanuelle Bourigault, Pauline Bourigault
The deployment of vision-language models remains constrained by substantial computational requirements. We present \textbf{FrEVL}, a framework exploring whether frozen pretrained e…