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cs.AI2025
RAG+: Enhancing Retrieval-Augmented Generation with Application-Aware Reasoning
Yu Wang, Shiwan Zhao, Zhihu Wang +6
The integration of external knowledge through Retrieval-Augmented Generation (RAG) has become foundational in enhancing large language models (LLMs) for knowledge-intensive tasks.…
cs.CL2025
Separator Injection Attack: Uncovering Dialogue Biases in Large Language Models Caused by Role Separators
Xitao Li, Haijun Wang, Jiang Wu +1
Conversational large language models (LLMs) have gained widespread attention due to their instruction-following capabilities. To ensure conversational LLMs follow instructions, rol…
cs.CR2025
Stealthy Backdoor Attack to Real-world Models in Android Apps
Jiali Wei, Ming Fan, Xicheng Zhang +3
Powered by their superior performance, deep neural networks (DNNs) have found widespread applications across various domains. Many deep learning (DL) models are now embedded in mob…