Author

Xiao Shi

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#artificial intelligence Preprint Sep 2026

Per-Matrix Optimality Is Not Enough: Three-Level Optimization for Low-Rank LLM Compression

A three-level chain that widens optimization scope from individual matrices to Transformer blocks to the full model, with improvements only in perplexity and compression fidelity; downstream accuracy remains well below the dense model.

Hui-Cheng Zhang, Xi-Yao Feng, Ze-Tong Li et al. · 0 citations

#artificial intelligence Preprint Sep 2026

Towards Evolving Context Parameterization for Large Language Models

This work proposed PLUME, a training-free method that constructs a global update representation, activates memory evidence to form a local parameter view, and adaptively integrates their predictions during decoding, which demonstrated its effectiveness in sequential evolution settings.

Xiao Shi, Zhe-Rui Li, Yi-Ming Jiang et al. · 0 citations