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College of Computer Science and Technology, Zhejiang University, Hangzhou, China, These authors contributed equally to this work.
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DeepBD outperforms traditional variant prioritization tools by integrating LLMs and specialized evidence modules, achieving a Recall@10 of 92.9% on a large cohort of genetic cases.
LazyMCoT achieves training-free visual grounding that rivals traditional methods while cutting inference time, redefining efficiency in multimodal reasoning.
Projector Drift reveals a hidden vulnerability in omni-modal systems that can significantly impair audio retrieval, but a simple fine-tuning strategy can effectively address it.
