Author

Xiao-Rong Zhu

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Preprint Aug 2026

RePair: Turning Retrieval Failures into Counterfactual Hard Pairs

Vision-language retrieval with CLIP-style dual encoders achieves strong cross-modal performance, yet practical accuracy often hinges on localized semantic distinctions where top-ranked near misses differ from the true match by a single critical detail. Hard-sample mining can select confusable candidates but cannot cons...

Siyi Liu, Xiao-Rong Zhu, En-Jun Du et al. · 0 citations

Preprint Sep 2026

From Saliency to Discriminability: Rank-Preserving Visual Token Pruning for VLM Rerankers

Large vision-language models used as listwise rerankers must jointly process visual tokens from tens of candidates per query, making token pruning essential for practical deployment. Existing pruning methods retain tokens by attention saliency, yet we show that saliency is systematically misaligned with ranking contrib...

Siyi Liu, Han-Jun Yang, Chen-Chen Zhang et al. · 0 citations

Preprint Aug 2026

ELBench: A Multi-Dimensional Benchmark for Education-Facing Large Language Models

ELBench is introduced, the first benchmark to evaluate all four requirements (General Capability, Safety and Trustworthiness, Basic Education, and High-Level Cultivation) on the same models under a common protocol, combining curated public sources with newly synthesized safety and cultivation data.

Yi-Lin Jiang, Xiao-Rong Zhu, Fei Tan et al. · 0 citations