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#artificial intelligence Preprint Sep 2026

ProtoLIP: From Sentence-Level to Object-Level Evidence Disentanglement

To disentangle visual evidence at both semantic and spatial levels, ProtoLIP is introduced, a lightweight prototype-mediated evidence layer that organizes reusable visual prototypes into text-derived semantic families and uses coarse-to-fine evidence routing, where semantic families constrain prototype eligibility and...

Yan Zhu, Yong-Bo Chen, Zheng-Ming Ding et al. · 0 citations
Jul 2026

KeySI: An Interaction Framework for Tuning Text Embeddings Based on Human Feedback

In large-scale text analysis tasks, pre-trained language models are often used to embed text corpora for downstream analysis. However, such models may struggle to capture domain-specific semantics and adapting them typically requires large amounts of labeled data and technical expertise to implement training pipelines....

Yan Zhu, Y. Chen, Rebecca Faust · 0 citations

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