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Xueqing Yu

2 accepted papers

2026

VirtueBench: Evaluating Trustworthiness under Uncertainty in Long Video Understanding

CVPR 2026

Recent Vision-Language Models (VLMs) have made remarkable progress in multimodal understanding tasks, yet their evaluation on long video understanding remains unreliable. Due to limited frame inputs, key frames necessary for answering the question may be missing from the model's input. However, mode

Cited by 0SourceScholar
2025

Learning Causal Alignment for Reliable Disease Diagnosis

ICLR 2025poster

Aligning the decision-making process of machine learning algorithms with that of experienced radiologists is crucial for reliable diagnosis. While existing methods have attempted to align their prediction behaviors to those of radiologists reflected in the training data, this alignment is primarily…

Cited by 0SourcePDFScholar