InstructSafety: A Unified Framework for Building Multidimensional and Explainable Safety...

[PDF] arxiv.org

Detoxifying Large Language Models via Knowledge Editing

M Wang, N Zhang, Z Xu, Z Xi, S Deng, Y Yao… - arXiv preprint arXiv …, 2024 - arxiv.org
This paper investigates using knowledge editing techniques to detoxify Large Language
Models (LLMs). We construct a benchmark, SafeEdit, which covers nine unsafe categories …
被引用次数：3 相关文章 所有 2 个版本
[PDF] arxiv.org

High-Dimension Human Value Representation in Large Language Models

S Cahyawijaya, D Chen, Y Bang, L Khalatbari… - arXiv preprint arXiv …, 2024 - arxiv.org
The widespread application of Large Language Models (LLMs) across various tasks and
fields has necessitated the alignment of these models with human values and preferences …
相关文章 所有 2 个版本
[PDF] arxiv.org

Human-Interpretable Adversarial Prompt Attack on Large Language Models with Situational Context

N Das, E Raff, M Gaur - arXiv preprint arXiv:2407.14644, 2024 - arxiv.org
Previous research on testing the vulnerabilities in Large Language Models (LLMs) using
adversarial attacks has primarily focused on nonsensical prompt injections, which are easily …
相关文章 所有 2 个版本