3 papers
cs.CV2026
VisualLeakBench: Auditing the Fragility of Large Vision-Language Models against PII Leakage and Social Engineering
Youting Wang, Yuan Tang, Yitian Qian +1
As Large Vision-Language Models (LVLMs) are increasingly deployed in agent-integrated workflows and other deployment-relevant settings, their robustness against semantic visual att…
cs.IR2026
Do Deployment Constraints Make LLMs Hallucinate Citations? An Empirical Study across Four Models and Five Prompting Regimes
Chen Zhao, Yuan Tang, Yitian Qian
LLMs are increasingly used to draft academic text and to support software engineering (SE) evidence synthesis, but they often hallucinate bibliographic references that look legitim…
cs.SE2026
Discovering 100+ Compiler Defects in 72 Hours via LLM-Driven Semantic Logic Recomposition
Xingbang He, Yuanwei Chen, Hao Wu +9
Compilers constitute the foundational root-of-trust in software supply chains; however, their immense complexity inevitably conceals critical defects. Recent research has attempted…