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Wei Zhang

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#natural language process... Preprint Sep 2026

Efficient Reasoning Exploration via State-Conditioned Latent Steering with Progress Guidance

SPS is a training-free latent steering framework that constructs a state-conditioned Direction Bank containing multiple progress-guided steering vectors for different prefix-state regions and applies it at high-uncertainty transitions to guide the next reasoning step toward meaningful progress.

Hengyuan Zhang, Chenming Shang, Zun-Hai Su et al. · 0 citations
Jul 2026

IFCLoRA: Topology-Aware Rank Allocation for Parameter-Efficient Fine-Tuning

Low-Rank Adaptation (LoRA) is a widely used approach to parameter-efficient fine-tuning (PEFT) of LLMs whose effectiveness depends on rank allocation. Existing adaptive LoRA methods derive ranks from local gradient, activation, or matrix statistics collected before or during fine-tuning; training-time variants add over...

Wei Zhang, Xin-Wu Liu, Yihang Cheng · 0 citations

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