RAG / 检索增强生成

HF-RAG: Hierarchical Fusion-based RAG with Multiple Sources and Rankers

Payel Santra, Madhusudan Ghosh, Debasis Ganguly, Partha Basuchowdhuri, Sudip Kumar Naskar

机构 * University of Glasgow（格拉斯哥大学） ； Jadavpur University（贾瓦德普尔大学） 纠错

专题命中 检索器与排序 ：RAG(title,abstract)；retrieval augmented generation(abstract)；分类 cs.IR、cs.AI

FinDER: Financial Dataset for Question Answering and Evaluating Retrieval-Augmented Generation

Chanyeol Choi, Jihoon Kwon, Jaeseon Ha, Hojun Choi, Chaewoon Kim, Yongjae Lee, Jy-yong Sohn, Alejandro Lopez-Lira

专题命中 检索器与排序 ：retrieval-augmented generation(title,abstract)；RAG(abstract)；分类 cs.IR

Comments 10 pages, 3 figures, ICLR 2025 Workshop Advances in Financial AI

Identifying Origins of Place Names via Retrieval Augmented Generation

Alexis Horde-Vo, Matt Duckham, Estrid He, Rafe Benli

专题命中 检索器与排序 ：retrieval augmented generation(title,abstract)；分类 cs.IR

Youtu-GraphRAG: Vertically Unified Agents for Graph Retrieval-Augmented Complex Reasoning

Junnan Dong, Siyu An, Yifei Yu, Qian-Wen Zhang, Linhao Luo, Xiao Huang, Yunsheng Wu, Di Yin, Xing Sun

专题命中 检索器与排序 ：retrieval-augmented generation(abstract)；retriever(abstract)；分类 cs.IR

Comments 19 pages, 7 figures, 6 tables

Gradients: When Markets Meet Fine-tuning -- A Distributed Approach to Model Optimisation

Christopher Subia-Waud

机构 * Rayon Labs（Rayon实验室） 纠错

专题命中 检索器与排序 ：retrieval-augmented generation(abstract)；分类 cs.AI

Complementarity, Augmentation, or Substitutivity? The Impact of Generative Artificial Intelligence on the U.S. Federal Workforce

William G. Resh, Yi Ming, Xinyao Xia, Michael Overton, Gul Nisa Gürbüz, Brandon De Bruhl

专题命中 检索器与排序 ：retrieval-augmented generation(abstract)

Comments 53 pages, 9 figures, 3 tables