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Runzhe Zhan

University of Macau

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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
Review Aug 2026

SimpleOPD: Simple Tokenizer-Agnostic On-Policy Distillation for Long-Context Reasoning

This work introduces a student reference KL loss and mask the advantages of special termination tokens to mitigate the problem of excessive generation length and frequent truncation, and improves on science benchmarks such as HLE and HiPhO, suggesting that OPD transfers reasoning capabilities that generalize beyond the...

Hao-Nan He, Hao Lei, Yun Luo et al. · 5 citations · ⚡1

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