2 papers
cs.CY2025
Auditing Meta-Cognitive Hallucinations in Reasoning Large Language Models
Haolang Lu, Yilian Liu, Jingxin Xu +4
The development of Reasoning Large Language Models (RLLMs) has significantly improved multi-step reasoning capabilities, but it has also made hallucination problems more frequent a…
cs.CL2025
Refining Positive and Toxic Samples for Dual Safety Self-Alignment of LLMs with Minimal Human Interventions
Jingxin Xu, Guoshun Nan, Sheng Guan +7
Recent AI agents, such as ChatGPT and LLaMA, primarily rely on instruction tuning and reinforcement learning to calibrate the output of large language models (LLMs) with human inte…