Showing cs.CLShow all
2 papers · 1 filter
cs.CL2025
Towards Mixed-Modal Retrieval for Universal Retrieval-Augmented Generation
Chenghao Zhang, Guanting Dong, Xinyu Yang +1
Retrieval-Augmented Generation (RAG) has emerged as a powerful paradigm for enhancing large language models (LLMs) by retrieving relevant documents from an external corpus. However…
cs.CL2025
FlashRAG: A Modular Toolkit for Efficient Retrieval-Augmented Generation Research
Jiajie Jin, Yutao Zhu, Guanting Dong +7
With the advent of large language models (LLMs) and multimodal large language models (MLLMs), the potential of retrieval-augmented generation (RAG) has attracted considerable resea…