SEAS: Self-Evolving Adversarial Safety Optimization for Large Language
Models

SEAS: Self-Evolving Adversarial Safety Optimization for Large Language Models

5 August 2024

Xunliang Cai

Papers citing "SEAS: Self-Evolving Adversarial Safety Optimization for Large Language Models"

5 / 5 papers shown

Title
We-Math: Does Your Large Multimodal Model Achieve Human-like Mathematical Reasoning? Runqi Qiao Qiuna Tan Guanting Dong Minhui Wu Chong Sun ... Yida Xu Muxi Diao Zhimin Bao Chen Li Honggang Zhang VLM LRM 31 30 0 01 Jul 2024
CS-Bench: A Comprehensive Benchmark for Large Language Models towards Computer Science Mastery Xiaoshuai Song Muxi Diao Guanting Dong Zhengyang Wang Yujia Fu ... Yejie Wang Zhuoma Gongque Jianing Yu Qiuna Tan Weiran Xu ELM 27 10 0 12 Jun 2024
Rainbow Teaming: Open-Ended Generation of Diverse Adversarial Prompts Mikayel Samvelyan Sharath Chandra Raparthy Andrei Lupu Eric Hambro Aram H. Markosyan ... Minqi Jiang Jack Parker-Holder Jakob Foerster Tim Rocktaschel Roberta Raileanu SyDa 59 61 0 26 Feb 2024
GPTFUZZER: Red Teaming Large Language Models with Auto-Generated Jailbreak Prompts Jiahao Yu Xingwei Lin Zheng Yu Xinyu Xing SILM 110 292 0 19 Sep 2023
Training language models to follow instructions with human feedback Long Ouyang Jeff Wu Xu Jiang Diogo Almeida Carroll L. Wainwright ... Amanda Askell Peter Welinder Paul Christiano Jan Leike Ryan J. Lowe OSLM ALM 301 11,730 0 04 Mar 2022