Detoxifying Large Language Models via Knowledge Editing
This paper investigates using knowledge editing techniques to detoxify Large Language
Models (LLMs). We construct a benchmark, SafeEdit, which covers nine unsafe categories …
Models (LLMs). We construct a benchmark, SafeEdit, which covers nine unsafe categories …
High-Dimension Human Value Representation in Large Language Models
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 …
fields has necessitated the alignment of these models with human values and preferences …
Human-Interpretable Adversarial Prompt Attack on Large Language Models with Situational Context
Previous research on testing the vulnerabilities in Large Language Models (LLMs) using
adversarial attacks has primarily focused on nonsensical prompt injections, which are easily …
adversarial attacks has primarily focused on nonsensical prompt injections, which are easily …