3 papers
cs.CL2025
EcoSafeRAG: Efficient Security through Context Analysis in Retrieval-Augmented Generation
Ruobing Yao, Yifei Zhang, Shuang Song +2
Retrieval-Augmented Generation (RAG) compensates for the static knowledge limitations of Large Language Models (LLMs) by integrating external knowledge, producing responses with en…
cs.CL2025
ParetoRAG: Leveraging Sentence-Context Attention for Robust and Efficient Retrieval-Augmented Generation
Ruobing Yao, Yifei Zhang, Shuang Song +3
While Retrieval-Augmented Generation (RAG) systems enhance Large Language Models (LLMs) by incorporating external knowledge, they still face persistent challenges in retrieval inef…
cs.CV2024
First Multi-Dimensional Evaluation of Flowchart Comprehension for Multimodal Large Language Models
Enming Zhang, Ruobing Yao, Huanyong Liu +2
With the development of Multimodal Large Language Models (MLLMs) technology, its general capabilities are increasingly powerful. To evaluate the various abilities of MLLMs, numerou…