Vulnerability prioritization is inherently preference dependent, since the same CVE can receive different remediation priority under different operational preference scenarios. Existing scoring systems and ranking methods typically assume a fixed criterion. In practice, organizations already operate under a preference...
Hao-Chen Liu, Zheng-Zhang Chen, Hao-Yu Wang et al.· 0 citations
Tackling complex real-world tasks can exceed the capabilities of a single large language model (LLM), motivating the use of multi-agent workflows that coordinate specialized agents to work together on these tasks. Recent methods train LLMs to construct better workflows from execution outcomes, but they optimize only th...
Xue-Hang Guo, Hao-Yu Wang, Hai-Feng Chen et al.· 0 citations
PolicyMem is introduced, a geometric policy memory that externalizes natural-language policies as reusable geometric memory objects represented by low-rank subspaces in a shared representation space that achieves state-of-the-art unsafe behavior detection while enabling effective policy attribution, rewriting, and post...
Yuan-Chen Bei, Zheng-Zhang Chen, Yan-Jun Zhao et al.· 0 citations
This work investigates the problem of LLM knowledge updates, which requires simultaneously unlearning unwanted information and learning new knowledge, and proposes LOKA, a conflict-aware framework for Large language mOdel Knowledge updAtes.
Binchi Zhang, Zhengzhang Chen, Zaiyi Zheng et al.· Annual Meeting of the Associ...· 0 citations
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