大模型对齐与安全

Trustworthy Quantum Machine Learning: A Roadmap for Reliability, Robustness, and Security in the NISQ Era

Ferhat Ozgur Catak, Jungwon Seo, Umit Cali

机构 * Department of Electrical Engineering and Computer Science, University of Stavanger, Norway（斯瓦尔巴大学电气工程与计算机科学系） ； School of Physics, Engineering and Technology, University of York, UK（约克大学物理、工程与技术学院） 纠错

专题命中 安全评测 ：trustworthy(title,abstract)；safety(abstract)；分类 cs.AI

Comments 22 Pages

SpecDiff-2: Scaling Diffusion Drafter Alignment For Faster Speculative Decoding

Jameson Sandler, Jacob K. Christopher, Thomas Hartvigsen, Ferdinando Fioretto

专题命中 安全评测 ：alignment(title)；分类 cs.CL

CFL: On the Use of Characteristic Function Loss for Domain Alignment in Machine Learning

Abdullah Almansour, Ozan Tonguz

机构 * Carnegie Mellon University（卡内基梅隆大学） 纠错

专题命中 安全评测 ：alignment(title)；分类 cs.LG

Accumulating Context Changes the Beliefs of Language Models

Jiayi Geng, Howard Chen, Ryan Liu, Manoel Horta Ribeiro, Robb Willer, Graham Neubig, Thomas L. Griffiths

专题命中 安全评测 ：alignment(abstract)；safety(abstract)；分类 cs.CL、cs.AI

Can MLLMs Read the Room? A Multimodal Benchmark for Verifying Truthfulness in Multi-Party Social Interactions

Caixin Kang, Yifei Huang, Liangyang Ouyang, Mingfang Zhang, Yoichi Sato

机构 * The University of Tokyo（东京大学） 纠错

专题命中 安全评测 ：alignment(abstract)；trustworthy(abstract)；分类 cs.CL

Comments ICCV2025 Workshop

A Quantitative Evaluation Framework for Explainable AI in Semantic Segmentation

Reem Hammoud, Abdul Karim Gizzini, Ali J. Ghandour

机构 * American University of Beirut（美国贝鲁特美国大学） ； SogetiLabs Research and Innovation（SogetiLabs研究与创新） ； National Center for Remote Sensing（远程 sensing 国家中心） 纠错

专题命中 安全评测 ：safety(abstract)；trustworthy(abstract)

DetectiumFire: A Comprehensive Multi-modal Dataset Bridging Vision and Language for Fire Understanding

Zixuan Liu, Siavash H. Khajavi, Guangkai Jiang

机构 * Department of Computer Science（计算机科学系） ； Tulane University（Tulane 大学） ； Department of Industrial Engineering and Management（工业工程与管理系） ； Aalto University（Aalto 大学） 纠错

专题命中 安全评测 ：safety(abstract)；分类 cs.CL

Comments Advances in Neural Information Processing Systems 2025 (NeurIPS 2025), Poster, https://neurips.cc/virtual/2025/loc/san-diego/poster/121400

Quantitative Risk Assessment in Radiation Oncology via LLM-Powered Root Cause Analysis of Incident Reports

Yuntao Wang, Siamak P. Najad-Davarani, Elizabeth Bossart, Matthew T. Studenski, Mariluz De Ornelas, Yunze Yang

专题命中 安全评测 ：safety(abstract)