Author

Xiao-Ming Wu

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#artificial intelligence Preprint Oct 2026

Experts Exhibit Structured Redundancy: Structure-Preserving Expert Pruning for Mixture-of-Experts Large Language Models

Two expert pruning methods are proposed under the unified structure-preserving framework: Projection Energy Expert Pruning (PEEP), which preserves the functional subspace by maximizing weighted projection energy, and Distributional Coverage Expert Pruning (DCEP), which preserves the distributional geometry by minimizin...

Tian Wang, Yong-Ding Tao, Yihong Dong et al. · 0 citations

#artificial intelligence Preprint Oct 2026

Where Do Vision Language Models Fail at 3D Reasoning?

Vision-language models can get individual judgments right while struggling to recover and consistently use the exact properties of a 3D object. To characterize this gap, we introduce BedBench, a controlled benchmark of thirteen procedurally generated tasks spanning individual judgments and composite answers. Across twe...

Khai Le-Duc, Nguyen Kim Hai Bui, An Ngo et al. · 1 citation