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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

Best-of-$N$ is a widely used inference strategy for complex reasoning, whose effectiveness depends on whether sampled candidates can cover diverse and high-quality reasoning paths. However, post-trained reasoning models often suffer from \emph{exploration collapse}, where independent rollouts repeatedly follow similar...

Hengyuan Zhang, Chenming Shang, Zunhai 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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