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Shu-Dong Liu

2 papers indexed here

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#natural language process... Preprint Sep 2026

Neuron-Guided Fine-Tuning: Unlocking Efficient Alignment Mechanisms for Large Language Models

Experimental results across three models across both domain-specific and general benchmarks demonstrate that NGFT significantly outperforms existing mainstream fine-tuning methods in both efficiency and performance, while effectively mitigating catastrophic forgetting.

Ze-Yu Wu, Junchao Wu, Shu-Dong Liu et al. · 0 citations
#machine learning Preprint Sep 2026

MetaRSI / RSI2: A Meta-Recursive Self-Improving System for Recursive Self-Improving Systems Themselves

This work argues RSI must next operate across real, diverse scientific, engineering, and meta-scientific domains, not where formal evaluation is merely tractable, and presents MetaRSI-v1, where improvement is the scheduled composition of three typed operators over one unified paradigm.

Zi-Hang Tan, Lei-Xin Sun, Zi-Tong Shi et al. · 6 citations · ⚡1

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