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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。

2025-09-15 至 2025-09-15 共收录 4 信号源:cs.CL, cs.AI, cs.CY, cs.LG

1. 幻觉与事实性 4 篇

2502.07974 2025-09-15 cs.SE cs.AI cs.LG 81%

From Hazard Identification to Controller Design: Proactive and LLM-Supported Safety Engineering for ML-Powered Systems

Yining Hong, Christopher S. Timperley, Christian Kästner

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

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

Comments Accepted for publication at the International Conference on AI Engineering (CAIN) 2025

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2509.10048 2025-09-15 cs.LG 79%

Uncertainty-Aware Tabular Prediction: Evaluating VBLL-Enhanced TabPFN in Safety-Critical Medical Data

Madhushan Ramalingam

机构 * Engineering University of Moratuwa Sri Lanka(穆塔瓦大学工程学院)

专题命中 幻觉与事实性 :safety(title,abstract);分类 cs.LG

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2509.10208 2025-09-15 cs.CL cs.AI 62%

SI-FACT: Mitigating Knowledge Conflict via Self-Improving Faithfulness-Aware Contrastive Tuning

Shengqiang Fu

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

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2509.09989 2025-09-15 cs.CR 50%

rCamInspector: Building Reliability and Trust on IoT (Spy) Camera Detection using XAI

Priyanka Rushikesh Chaudhary, Manan Gupta, Jabez Christopher, Putrevu Venkata Sai Charan, Rajib Ranjan Maiti

专题命中 幻觉与事实性 :trustworthy(abstract)

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