RAG / 检索增强生成

SGSimEval: A Comprehensive Multifaceted and Similarity-Enhanced Benchmark for Automatic Survey Generation Systems

Beichen Guo, Zhiyuan Wen, Yu Yang, Peng Gao, Ruosong Yang, Jiaxing Shen

机构 * The Hong Kong Polytechnic University（香港理工大学） ； The Education University of Hong Kong（香港教育大学） ； China Mobile (Hong Kong) Innovation and Research Institute（中国移动（香港）创新与研究院） ； Lingnan University（岭南大学） 纠错

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

Comments Accepted to The 21st International Conference on Advanced Data Mining and Applications (ADMA2025)

CryptoScope: Utilizing Large Language Models for Automated Cryptographic Logic Vulnerability Detection

Zhihao Li, Zimo Ji, Tao Zheng, Hao Ren, Xiao Lan

机构 * Sichuan University（四川大学） ； The Hong Kong University of Science and Technology（香港科学与技术大学） 纠错

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

From Misunderstandings to Learning Opportunities: Leveraging Generative AI in Discussion Forums to Support Student Learning

Stanislav Pozdniakov, Jonathan Brazil, Oleksandra Poquet, Stephan Krusche, Santiago Berrezueta-Guzman, Shazia Sadiq, Hassan Khosravi

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

Comments Artificial Intelligence in Education (AIED 2025)

Journal ref Artificial Intelligence in Education. AIED 2025. Lecture Notes in Computer Science, vol 15882. Springer, Cham