Author

Xin-Wei Yao

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#artificial intelligence Preprint Jul 2026

Lens: Bringing the Right Semantic Perspective into Focus for Training-Free Multimodal Representation Learning

High-quality representations are essential for a wide range of downstream tasks. Dedicated embedding models are explicitly optimized for representation learning, yet their training data are often more limited in scale and diversity than the massive corpora used to pretrain modern large language models and multimodal la...

Xin-Ran Liu, Shouqian Shi, Yi-Xian Chen et al. · 0 citations

Jul 2026

TraceCLIP: Recovering Local Semantics from Patch-to-CLS Contributions

Dense vision-language understanding, including object localization, region recognition, and open-vocabulary semantic segmentation, requires associating language concepts with spatially grounded visual regions. CLIP provides a strong foundation for these tasks by learning a shared image-text embedding space from large-s...

Xinran Liu, Shouqian Shi, Yutong Chen et al. · arXiv.org · 0 citations

Jul 2026

IRIS: Reusable Identity Representations from Frozen LLMs for Entity Alignment

The proposed IRIS (Identity Representations from Internal States), a training-free framework that constructs for each entity an iris-like signature encoding its distinctive and stable identity characteristics, thereby forming a shared space in which each entity is encoded once and can be aligned across different KGs th...

Xin-Ran Liu, Shengtao Li, Shouqian Shi et al. · arXiv.org · 0 citations