no code implementations • 12 Feb 2025 • Ruobing Yao, Yifei Zhang, Shuang Song, Yuhua Liu, Neng Gao, Chenyang Tu
While Retrieval-Augmented Generation (RAG) systems enhance Large Language Models (LLMs) by incorporating external knowledge, they still face persistent challenges in retrieval inefficiency and the inability of LLMs to filter out irrelevant information.
2 code implementations • 14 Jun 2024 • Enming Zhang, Ruobing Yao, Huanyong Liu, Junhui Yu, Jiale Wang
We propose the first comprehensive method, FlowCE, to assess MLLMs across various dimensions for tasks related to flowcharts.