Camel: Communicative agents for" mind" exploration of large language model society

G Li, H Hammoud, H Itani… - Advances in Neural …, 2023 - proceedings.neurips.cc
The rapid advancement of chat-based language models has led to remarkable progress in
complex task-solving. However, their success heavily relies on human input to guide the …

When software security meets large language models: A survey

X Zhu, W Zhou, QL Han, W Ma, S Wen… - IEEE/CAA Journal of …, 2025 - ieeexplore.ieee.org
Software security poses substantial risks to our society because software has become part of
our life. Numerous techniques have been proposed to resolve or mitigate the impact of …

Data augmentation using llms: Data perspectives, learning paradigms and challenges

B Ding, C Qin, R Zhao, T Luo, X Li… - Findings of the …, 2024 - aclanthology.org
In the rapidly evolving field of large language models (LLMs), data augmentation (DA) has
emerged as a pivotal technique for enhancing model performance by diversifying training …

Shieldgemma: Generative ai content moderation based on gemma

W Zeng, Y Liu, R Mullins, L Peran, J Fernandez… - arxiv preprint arxiv …, 2024 - arxiv.org
We present ShieldGemma, a comprehensive suite of LLM-based safety content moderation
models built upon Gemma2. These models provide robust, state-of-the-art predictions of …