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Zi-Yi Zhou

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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
Preprint Aug 2026

Benign Alone, Harmful Together: Exploiting Experience Composition in Self-Evolving LLM Agents

EvoBreak is an experience-conditioned sequential attack that operates through individually benign attack-stage tasks and induced experiences, revealing benign experience composition as a persistent attack surface in self-evolving agents.

Bing-Yu Yan, Xiao-Ming Zhang, Chao-Zhuo Li et al. · 2 citations
#artificial intelligence Preprint Sep 2026

Reasoning through Evolution: Automatic Meta-path Discovery for LLM-based Fake News Detection

MAGER is a multi-agent genetic evolution framework that automatically discovers meta-paths optimized for LLM reasoning, enabling frozen LLMs to perform structure-aware veracity reasoning and introduces a graph in-context learning strategy that retrieves semantically and structurally similar demonstrations to strengthen...

Zi-Yi Zhou, Xiao-Ming Zhang, Hui Pang et al. · 0 citations

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