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Zishan Shao

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#artificial intelligence Preprint Oct 2026

Preserving Mathematical Reasoning in Compressed Diffusion Language Models via Trajectory-Aware Low-Rank Approximation

Diffusion language model (dLLM) compression faces a known challenge because calibration is typically performed on clean, fully visible activations, whereas inference traverses partially masked intermediate states. For low-rank compression, this raises two questions. First, can low-rank optimality still be characterized...

Tian Liang, Zi-Shan Shao, Yi-Ran Chen · 0 citations
Preprint Aug 2026

LowRankArena: A Standardized Evaluation Platform for SVD-Based LLM Compression

LowRankArena is presented, a standardized evaluation platform for SVD-based LLM compression that unifies task versions, uniform-precision compression budgets, comparison regimes, and inference measurements, and provides a reproducible pipeline with over 3 TiB released compressed checkpoints.

Zi-Shan Shao, Li-Xun Zhang, Kang-Ning Cui et al. · 0 citations

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