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3 papers
Less Precise Can Be More Reliable: A Systematic Evaluation of Quantization's Impact on VLMs Beyond Accuracy
Aymen Bouguerra, Daniel Montoya, Alexandra Gomez-Villa +2
Vision-Language Models (VLMs) such as CLIP have revolutionized zero-shot classification and safety-critical tasks, including Out-of-Distribution (OOD) detection. However, their hig…
The Map of Misbelief: Tracing Intrinsic and Extrinsic Hallucinations Through Attention Patterns
Elyes Hajji, Aymen Bouguerra, Fabio Arnez
Large Language Models (LLMs) are increasingly deployed in safety-critical domains, yet remain susceptible to hallucinations. While prior works have proposed confidence representati…
FindMeIfYouCan: Bringing Open Set metrics to , and Out-of-Distribution Object Detection
Daniel Montoya, Aymen Bouguerra, Alexandra Gomez-Villa +1
State-of-the-art Object Detection (OD) methods predominantly operate under a closed-world assumption, where test-time categories match those encountered during training. However, d…