Jinyang Li
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SCARA is a novel, end-to-end framework that autonomously connects binary-level vulnerability candidates to conditionally validated remedies for opaque industrial software, achieving high precision and success rates on a specialized benchmark.
The paper proposes A2X, an LLM-native progressive-disclosure scheme that structures service taxonomies hierarchically and searches them layer-by-layer at query time, solving context overflow and improving service discovery accuracy.
Papers
Indexing the Unreadable: LLM-Native Recursive Construction and Search of Service Taxonomies
Wei Zheng, Yang Yan, Yiyang Shao, Jinyang Li +5 more
The paper proposes A2X, an LLM-native progressive-disclosure scheme that structures service taxonomies hierarchically and searches them layer-by-layer at query time, solving context overflow and impro…