RAG / 检索增强生成

CoT-RAG: Integrating Chain of Thought and Retrieval-Augmented Generation to Enhance Reasoning in Large Language Models

Feiyang Li, Peng Fang, Zhan Shi, Arijit Khan, Fang Wang, Weihao Wang, Xin Zhang, Yongjian Cui

机构 * School of Computer Science and Technology, Huazhong University of Science and Technology, Wuhan, China（华中科技大学计算机科学与技术学院） ； Wuhan National Laboratory for Optoelectronics, Huazhong University of Science and Technology, Wuhan, China（华中科技大学光电实验室） ； Department of Computer Science, Bowling Green State University, Ohio, USA（Bowling Green State University 计算机科学系） ； Department of Computer Science, Aalborg University, Aalborg, Denmark（Aalborg University 计算机科学系） ； Huawei Technologies Co., Ltd, Shenzhen, China（华为技术有限公司） 纠错

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

HIRAG: Hierarchical-Thought Instruction-Tuning Retrieval-Augmented Generation

YiHan Jiao, ZheHao Tan, Dan Yang, DuoLin Sun, Jie Feng, Yue Shen, Jian Wang, Peng Wei

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

Handling Open-Vocabulary Constructs in Formalizing Specifications: Retrieval-Augmented Parsing with Expert Knowledge

Mohammad Saqib Hasan, Sayontan Ghosh, Dhruv Verma, Geoff Kuenning, Erez Zadok, Scott A. Smolka, Niranjan Balasubramanian

专题命中 检索器与排序 ：retriever(abstract)

Comments Accepted to COLM 2024