大模型对齐与安全 - arXivDaily 专题

2505.16146 2025-09-16 cs.CV cs.AI cs.CL cs.LG 67%

Steering LVLMs via Sparse Autoencoder for Hallucination Mitigation

Zhenglin Hua, Jinghan He, Zijun Yao, Tianxu Han, Haiyun Guo, Yuheng Jia, Junfeng Fang

机构 * School of Computer Science and Engineering, Southeast University（东南大学计算机科学与工程学院）； Key Laboratory of New Generation Artificial Intelligence Technology and Its Interdisciplinary Applications (Southeast University)（东南大学新一代人工智能技术及其交叉应用关键实验室）； Foundation Model Research Center, Institute of Automation, Chinese Academy of Sciences（中国科学院自动化研究所基础模型研究中心）； School of Artificial Intelligence, University of Chinese Academy of Sciences（中国科学院大学人工智能学院）； Department of Computer Science and Technology, Tsinghua University（清华大学计算机科学与技术系）； Wuhan University of Technology（武汉理工大学）； National University of Singapore（新加坡国立大学）

专题命中幻觉与事实性：alignment(abstract)；分类 cs.CL、cs.AI、cs.LG

Comments Accepted to Findings of EMNLP 2025

2504.15133 2025-09-16 cs.CL cs.AI cs.CV cs.HC cs.LG 67%

EasyEdit2: An Easy-to-use Steering Framework for Editing Large Language Models

Ziwen Xu, Shuxun Wang, Kewei Xu, Haoming Xu, Mengru Wang, Xinle Deng, Yunzhi Yao, Guozhou Zheng, Huajun Chen, Ningyu Zhang

机构 * Zhejiang University（浙江大学）； Ocean Research Center of Zhoushan, Zhejiang University（舟山海洋研究中心，浙江大学）

专题命中幻觉与事实性：safety(abstract)；分类 cs.CL、cs.AI、cs.LG

Comments EMNLP 2025 System Demonstrations. Demo: https://www.youtube.com/watch?v=AkfoiPfp5rQ; code: https://github.com/zjunlp/EasyEdit

2503.07082 2025-09-16 cs.CV cs.AI cs.LG 62%

On the Generalization of Representation Uncertainty in Earth Observation

Spyros Kondylatos, Nikolaos Ioannis Bountos, Dimitrios Michail, Xiao Xiang Zhu, Gustau Camps-Valls, Ioannis Papoutsis

机构 * National Observatory of Athens（雅典国家天文台）； National Technical University of Athens（雅典技术大学）； University of Valencia（瓦伦西亚大学）； Harokopio University of Athens（雅典惠克罗波利斯大学）； Technical University of Munich（慕尼黑技术大学）； Munich Center for Machine Learning（慕尼黑机器学习中心）； Archimedes/Athena RC（阿基米德/雅典RC）

专题命中幻觉与事实性：alignment(abstract)；分类 cs.AI、cs.LG

Comments Accepted to ICCV 2025

2308.01222 2025-09-16 cs.LG cs.AI 62%

Calibration in Deep Learning: A Survey of the State-of-the-Art

Cheng Wang

机构 * Amazon（亚马逊）

专题命中幻觉与事实性：safety(abstract)；分类 cs.AI、cs.LG

Comments 34 pages

2509.12034 2025-09-16 cs.AI 57%

Human-AI Use Patterns for Decision-Making in Disaster Scenarios: A Systematic Review

Emmanuel Adjei Domfeh, Christopher L. Dancy

机构 * Department of Computer Science and Engineering（计算机科学与工程系）； The Pennsylvania State University（宾夕法尼亚州立大学）； Department of Industrial and Manufacturing Engineering（工业与制造工程系）

专题命中幻觉与事实性：trustworthy(abstract)；分类 cs.AI

Comments 10 pages, 2 figures

1. 幻觉与事实性 5 篇

Steering LVLMs via Sparse Autoencoder for Hallucination Mitigation

EasyEdit2: An Easy-to-use Steering Framework for Editing Large Language Models

On the Generalization of Representation Uncertainty in Earth Observation

Calibration in Deep Learning: A Survey of the State-of-the-Art

Human-AI Use Patterns for Decision-Making in Disaster Scenarios: A Systematic Review