Neuron-Guided Fine-Tuning: Unlocking Efficient Alignment Mechanisms for Large Language Models
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arXiv:2609.05913v1 Announce Type: new Abstract: Existing Supervised Fine-Tuning paradigms, particularly Full Parameter Fine-Tuning are often plagued by parameter redundancy, inconsistent data quality, and catastrophic forgetting, which current methods typically address in isolation and lack a unifi…
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- 2026-09-09 04:00 · arXiv cs.CL
Neuron-Guided Fine-Tuning: Unlocking Efficient Alignment Mechanisms for Large Language Models