Lei Fu

Enhancing Problem-Solving Abilities with Reinforcement Learning-Augmented Large Language Models

2024

The problem-solving abilities of large language models (LLMs) have significantly advanced in various fields, yet their potential for tackling complex tasks remains underexplored. This paper introduces a novel framework that enhances LLM performance by incorporating …

Adversarial Prompt Optimization in LLMs: HijackNet’s Approach to Robustness and Defense Evasion

2025 · Preprints.org

This paper introduces HijackNet, an adversarial prompt hijacking framework designed to improve hijacking success rates and generalization in multi-lingual tasks. Combining Neural Architecture Search (NAS), Reinforcement Learning (RL), and Multi-Objective Optimization (MOO), HijackNet generates adversarial …