大模型对齐与安全

Small Models, Big Support: A Local LLM Framework for Educator-Centric Content Creation and Assessment with RAG and CAG

Zarreen Reza, Alexander Mazur, Michael T. Dugdale, Robin Ray-Chaudhuri

专题命中 隐私与版权 ：alignment(abstract)；safety(abstract)；分类 cs.AI、cs.CY

A Novel Hierarchical Integration Method for Efficient Model Merging in Medical LLMs

Prakrit Timilsina, Anuj Nepal, Rajan Kadel, Robin Doss

机构 * Deakin Cyber Research（德肯网络研究） ； Innovation Centre Deakin University / Universal Higher Education Melbourne, Australia（德肯大学创新中心/通用高等教育墨尔本，澳大利亚） ； School of IT（信息科技学院） ； Engineering Melbourne Institute of Technology Melbourne, Australia（工程墨尔本技术学院墨尔本，澳大利亚） ； Innovation Centre Deakin University Geelong, Australia（德肯大学创新中心吉朗，澳大利亚） 纠错

专题命中 隐私与版权 ：alignment(abstract)；分类 cs.AI、cs.LG

LLM-Generated Negative News Headlines Dataset: Creation and Benchmarking Against Real Journalism

Olusola Babalola, Bolanle Ojokoh, Olutayo Boyinbode

专题命中 隐私与版权 ：alignment(abstract)；分类 cs.CL、cs.AI

Comments 50 pages, 19 figures, 9 tables

RadarLLM: Empowering Large Language Models to Understand Human Motion from Millimeter-Wave Point Cloud Sequence

Zengyuan Lai, Jiarui Yang, Songpengcheng Xia, Lizhou Lin, Lan Sun, Renwen Wang, Jianran Liu, Qi Wu, Ling Pei

专题命中 隐私与版权 ：alignment(abstract)；分类 cs.LG

Comments Accepted by AAAI 2026 (extended version with supplementary materials)