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。

2025-10-07 至 2025-10-07 共收录 7 篇信号源：cs.CL, cs.AI, cs.CY, cs.LG

1. 幻觉与事实性 7 篇

2510.04045 2025-10-07 cs.CL cs.LG 81%

Exploring Chain-of-Thought Reasoning for Steerable Pluralistic Alignment

Yunfan Zhang, Kathleen McKeown, Smaranda Muresan

机构 * Columbia University（哥伦比亚大学）； Barnard College（巴纳德学院）

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

Comments ACL EMNLP 2025

2508.17225 2025-10-07 cs.CL cs.AI 73%

SSFO: Self-Supervised Faithfulness Optimization for Retrieval-Augmented Generation

Xiaqiang Tang, Yi Wang, Keyu Hu, Rui Xu, Chuang Li, Weigao Sun, Jian Li, Sihong Xie

机构 * The Hong Kong University of Science and Technology (Guangzhou)（香港科技大学（广州））； Chinese Academy of Sciences（中国科学院）； Shanghai AI Lab（上海人工智能实验室）； Tencent Hunyuan（腾讯文英）

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

Comments Working in progress

2510.04933 2025-10-07 cs.CL cs.AI cs.IT cs.LG cs.NE math.IT 67%

The Geometry of Truth: Layer-wise Semantic Dynamics for Hallucination Detection in Large Language Models

Amir Hameed Mir

机构 * Sirraya Labs（Sirraya实验室）

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

Comments Comments: 14 pages, 14 figures, 5 tables. Code available at: https://github.com/sirraya-tech/Sirraya_LSD_Code

2510.04439 2025-10-07 cs.CL 57%

On the Role of Unobserved Sequences on Sample-based Uncertainty Quantification for LLMs

Lucie Kunitomo-Jacquin, Edison Marrese-Taylor, Ken Fukuda

机构 * National Institute of Advanced Industrial Science and Technology (AIST)（国家先进工业科学与技术研究院）

专题命中幻觉与事实性：safety(abstract)；分类 cs.CL

Comments Accepted to UncertaiNLP workshop of EMNLP 2025

2510.04357 2025-10-07 cs.LG q-fin.CP 57%

From News to Returns: A Granger-Causal Hypergraph Transformer on the Sphere

Anoushka Harit, Zhongtian Sun, Jongmin Yu

机构 * University of Cambridge（剑桥大学）； University of Kent（肯特大学）； Department of Computer Science, University of Cambridge（剑桥大学计算机科学系）

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

Comments 6th ACM International Conference on AI in Finance

2412.10246 2025-10-07 cs.LG 57%

Detecting LLM Hallucination Through Layer-wise Information Deficiency: Analysis of Ambiguous Prompts and Unanswerable Questions

Hazel Kim, Tom A. Lamb, Adel Bibi, Philip Torr, Yarin Gal

机构 * University of Oxford（牛津大学）

专题命中幻觉与事实性：safety(abstract)；分类 cs.LG

Comments Accepted to EMNLP(main)2025

2509.20148 2025-10-07 cs.CV 50%

Smaller is Better: Enhancing Transparency in Vehicle AI Systems via Pruning

Sanish Suwal, Shaurya Garg, Dipkamal Bhusal, Michael Clifford, Nidhi Rastogi

专题命中幻觉与事实性：safety(abstract)

Comments 17 pages