RAG / 检索增强生成

SSFO: Self-Supervised Faithfulness Optimization for Retrieval-Augmented Generation

Xiaqiang Tang, Yi Wang, Keyu Hu, Rui Xu, Chuang Li, Weigao Sun, Jian Li, Sihong Xie

机构 * The Hong Kong University of Science and Technology (Guangzhou)（香港科技大学（广州）） ； Chinese Academy of Sciences（中国科学院） ； Shanghai AI Lab（上海人工智能实验室） ； Tencent Hunyuan（腾讯文英） 纠错

专题命中 RAG评测 ：retrieval-augmented generation(title,abstract)；RAG(abstract)；分类 cs.CL、cs.AI

Comments Working in progress

Generating High-Level Test Cases from Requirements using LLM: An Industry Study

Satoshi Masuda, Satoshi Kouzawa, Kyousuke Sezai, Hidetoshi Suhara, Yasuaki Hiruta, Kunihiro Kudou

专题命中 RAG评测 ：retrieval-augmented generation(abstract)；RAG(abstract)

Comments 11pages

Multi-Agent Code-Orchestrated Generation for Reliable Infrastructure-as-Code

Rana Nameer Hussain Khan, Dawood Wasif, Jin-Hee Cho, Ali Butt

专题命中 RAG评测 ：RAG(abstract)