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Meng-Yuan Zhang

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Preprint Sep 2026

RADNPO: Reference-free Adaptive Negative Preference Optimization for LLM Unlearning

Large language models (LLMs) can memorize sensitive, private, or copyrighted content during pre-training, making machine unlearning necessary for removing targeted knowledge. Recent preference optimization (PO)-based unlearning methods improve stability over gradient ascent (GA)-based methods by introducing alignment-s...

Sheng-Han Tan, Zi-Yi Zhou, Wen-Peng Hu et al. · 0 citations
#artificial intelligence Preprint Aug 2026

G-ReAct: Graph-Guided Deep Search via Structure-State Co-Evolution

G-ReAct is a reasoning framework for deep search that organizes reasoning as state evolution over a fixed-topology query graph, transforming exploratory search driven by textual history into graph-guided reasoning under explicit constraints.

Shaoxiong Yang, Mengyuan Zhang, Shao-Jun Lin et al. · 0 citations

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