Jailbreaking Large Language Models via Multi-Task Embedding-based Prompt

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Authors: Songrui Li
Cited by: 0

Abstract

MTEA: Paper Code Reproduction Overview This repository contains the official code and experimental results for our paper. The repository consists of three main components: - MTEA/: Implementation of our proposed method.- Baseline/: Source code of baseline methods used for comparison.- results/: Experimental results obtained in our experiments. It contains META's complete attack prompts and responses for each victim model. The datasets used in the paper are provided directly in the root directory.

Fields of Study & Subjects

Topic Modeling Authorship Attribution and Profiling Natural Language Processing Techniques

Publication details

Journal / source
Zenodo (CERN European Organization for Nuclear Research)
Publication date
3 January 2026