Topic
ood detection
Artificial Intelligence #ood detection#simplicity bias
Mitigating Simplicity Bias in OOD Detection through Object Co-occurrence Analysis
Researchers propose an object-centric OOD detection framework that leverages object co-occurrence patterns to overcome simplicity bias, achieving competitive results on near-OOD and full-spectrum settings.
Jul 8, 2026 1 source
Artificial Intelligence #synthetic ood generation#robust refusal
Semantic Flip: Synthetic OOD Generation for Robust Refusal in Embodied Question Answering and Spatial Localization
The Semantic Flip framework trains a lightweight rejection module on top of frozen vision-language models to detect unanswerable queries in embodied question answering and spatial localization. It synthesizes out-of-distribution pairs by transforming query and video memory, achieving high refusal accuracy without external OOD annotations.
Jun 16, 2026 1 source