Quantum compilers translate programs into native gates, insert SWAP gates to route interactions onto a device, and optimize the result. The output is quantum assembly, a flat gate list that hides the algorithm's structure (QFT, Grover iteration, QAOA layers). Understanding, auditing, porting, or reusing such assembly r...
Pingchuan Ma, Zhan-Tong Xue, Zong-Jie Li et al.· 0 citations
Embodied agents powered by large language models and vision-language models are increasingly deployed in physical environments, but jailbreak attacks can induce these agents to perform physically harmful actions. A growing number of guardrail methods have been proposed to intercept dangerous behavior before it is execu...
Xun-Guang Wang, Qing-Yue Wang, Yu-Guang Zhou et al.· 0 citations
This work introduces LongPuzzleBench, 114 levels in six puzzle games played through native GUI actions, where one objective can take a human over a thousand actions on persistent boards and dead ends go unannounced.
Bing-Xu Zhang, Hao-Chuan Lu, Zong-Jie Li et al.· 0 citations
Training capable cyber agents is often treated primarily as a problem of model scale, yet open-weight post-training is constrained more directly by the cost of executable environments, reliable multi-turn supervision, and access to strong teachers. We present a data-centric framework that addresses these bottlenecks th...
Zong-Jie Li, W. AlanZ, J. JohnNicolas et al.· 0 citations
GuidedBench, a novel benchmark comprising a curated harmful question dataset and GuidedEval, an evaluation system integrated with detailed case-by-case evaluation guidelines are introduced, ensuring reliable and reproducible evaluations.
Ruixuan Huang, Xun-Guang Wang, Zongjie Li et al.· 8 citations
This work proposes ReDiR, a generation-time defense that conditions action generation on trajectory-level security evidence and reduces attack success rates to below 8%, transfers to unseen tool domains, and preserves benign fidelity with low computational overhead.
Yanbo Dai, Zhenlan Ji, Zong-Jie Li et al.· 0 citations
These findings reveal substantial hidden dependencies among seemingly independent API resellers, which can create a large potential blast radius, where a confidentiality or integrity failure along a common upstream path may affect users across multiple downstream resellers.
This initial study demonstrates that directly prompting off-the-shelf code LLMs remains ineffective; even advanced prompting strategies cannot compensate for the lack of task-specific knowledge, and fine-tuning proves highly effective, with pseudo-code representation consistently yielding the best performance.
Qingyuan Li, Bin-Chang Li, Cuiyun Gao et al.· ACM Transactions on Software...· 3 citations· ⚡1
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