AI 大模型

大模型对齐与安全

大模型对齐、安全、越狱、红队、提示注入和可信评测。

2025-10-01 至 2025-10-01 共收录 5 篇信号源：cs.CL, cs.AI, cs.CY, cs.LG

1. 幻觉与事实性 5 篇

2509.25712 2025-10-01 cs.LG 74%

Expert Merging: Model Merging with Unsupervised Expert Alignment and Importance-Guided Layer Chunking

Dengming Zhang, Xiaowen Ma, Zhenliang Ni, Zhenkai Wu, Han Shu, Xin Jiang, Xinghao Chen

机构 * Zhejiang University（浙江大学）； Huawei Noah’s Ark Lab（华为诺亚实验室）

专题命中幻觉与事实性：alignment(title)；分类 cs.LG

2509.11625 2025-10-01 cs.LG cs.AI cs.CR 73%

Inducing Uncertainty on Open-Weight Models for Test-Time Privacy in Image Recognition

Muhammad H. Ashiq, Peter Triantafillou, Hung Yun Tseng, Grigoris G. Chrysos

机构 * University of Wisconsin-Madison（威斯康星大学麦迪逊分校）； University of Warwick（沃里克大学）

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

2509.26610 2025-10-01 cs.LG 57%

Uncertainty Quantification for Regression using Proper Scoring Rules

Alexander Fishkov, Kajetan Schweighofer, Mykyta Ielanskyi, Nikita Kotelevskii, Mohsen Guizani, Maxim Panov

机构 * Department of Machine Learning, MBZUAI（机器学习部门，MBZUAI）； ELLIS Unit Linz and LIT AI Lab, Institute for Machine Learning, Johannes Kepler University Linz（林兹ELLIS单元和LIT AI实验室，机器学习研究所，林兹约翰内斯·开普勒大学）

专题命中幻觉与事实性：safety(abstract)；分类 cs.LG

2509.25669 2025-10-01 cs.AI 57%

GroundSight: Augmenting Vision-Language Models with Grounding Information and De-hallucination

Xinxi Chen, Tianyang Chen, Lijia Hong

机构 * Independent Researcher（独立研究者）

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

2507.04943 2025-10-01 cs.CV cs.CL 57%

ReLoop: "Seeing Twice and Thinking Backwards" via Closed-loop Training to Mitigate Hallucinations in Multimodal understanding

Jianjiang Yang, Yanshu li, Ziyan Huang

机构 * University of Bristol（布里斯托大学）； Brown University（布朗大学）； South China University of Technology（华南理工大学）

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

Comments Accepted by conference EMNLP2025