A Preliminary Study of o1 in Medicine: Are We Closer to an AI Doctor?

Y **e, J Wu, H Tu, S Yang, B Zhao, Y Zong… - arxiv preprint arxiv …, 2024 - arxiv.org
Large language models (LLMs) have exhibited remarkable capabilities across various
domains and tasks, pushing the boundaries of our knowledge in learning and cognition. The …

Chatnvd: Advancing cybersecurity vulnerability assessment with large language models

S Chopra, H Ahmad, D Goel, C Szabo - arxiv preprint arxiv:2412.04756, 2024 - arxiv.org
The increasing frequency and sophistication of cybersecurity vulnerabilities in software
systems underscore the urgent need for robust and effective methods of vulnerability …

MedS: Towards Medical Small Language Models with Self-Evolved Slow Thinking

S Jiang, Y Liao, Z Chen, Y Zhang, Y Wang… - arxiv preprint arxiv …, 2025 - arxiv.org
Medical language models (MLMs) have become pivotal in advancing medical natural
language processing. However, prior models that rely on pre-training or supervised fine …

Can Modern LLMs Act as Agent Cores in Radiology~ Environments?

Q Zheng, C Wu, P Qiu, L Dai, Y Zhang, Y Wang… - arxiv preprint arxiv …, 2024 - arxiv.org
Advancements in large language models (LLMs) have paved the way for LLM-based agent
systems that offer enhanced accuracy and interpretability across various domains …

Position: We Need An Adaptive Interpretation of Helpful, Honest, and Harmless Principles

Y Huang, C Gao, Y Zhou, K Guo, X Wang… - arxiv preprint arxiv …, 2025 - arxiv.org
The Helpful, Honest, and Harmless (HHH) principle is a foundational framework for aligning
AI systems with human values. However, existing interpretations of the HHH principle often …