TRIDENT: Enhancing Large Language Model Safety with Tri-Dimensional Diversified Red-Teaming Data Synthesis

Xiaorui Wu, Xiaofeng Mao, Fei Li, Xin Zhang, Xuanhong Li, Chong Teng, Donghong Ji, Zhuang Li. Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers). 2025.

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Publication Details

Published
2025-01-01
DOI
https://doi.org/10.18653/v1/2025.acl-long.733
Primary Topic
Topic Modeling
Type
article
Field-Weighted Citation Impact
0.00

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article

TRIDENT: Enhancing Large Language Model Safety with Tri-Dimensional Diversified Red-Teaming Data Synthesis

Xiaorui Wu, Fei Li, Zhuang Li, Xiaoming Li et al.
Topic Modeling
article

TRIDENT: Enhancing Large Language Model Safety with Tri-Dimensional Diversified Red-Teaming Data Synthesis

Xiaorui Wu, Fei Li, Zhuang Li, Xiaoming Li, Chong Teng, Donghong Ji, Xiaofeng Mao, Xin Zhang
article en

Abstract

Xiaorui Wu, Xiaofeng Mao, Fei Li, Xin Zhang, Xuanhong Li, Chong Teng, Donghong Ji, Zhuang Li. Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers). 2025.

Ant Group, National Natural Science Foundation of China, Wuhan University
Openalex Percentile: Top 90%
Topic Modeling
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