Showing cs.LGShow all
2 papers · 1 filter
cs.LG2025
Transformers in Pseudo-Random Number Generation: A Dual Perspective on Theory and Practice
Ran Li, Lingshu Zeng
Pseudo-random number generators (PRNGs) are high-nonlinear processes, and they are key blocks in optimization of Large language models. Transformers excel at processing complex non…
cs.LG2025
LARGO: Latent Adversarial Reflection through Gradient Optimization for Jailbreaking LLMs
Ran Li, Hao Wang, Chengzhi Mao
Efficient red-teaming method to uncover vulnerabilities in Large Language Models (LLMs) is crucial. While recent attacks often use LLMs as optimizers, the discrete language space m…