3 papers
cs.AI2026
A Survey on Evaluating Quality and Trustworthiness in LLM-Generated Data
Kaituo Zhang, Mingzhi Hu, Hoang Anh Duy Le +9
Large Language Models (LLMs) have emerged as powerful tools for generating data across various modalities. By transforming data from a scarce resource into a controllable asset, LL…
cs.AI2026
Are Tools All We Need? Unveiling the Tool-Use Tax in LLM Agents
Kaituo Zhang, Zhen Xiong, Mingyu Zhong +4
Tool-augmented reasoning has become a popular direction for LLM-based agents, and it is widely assumed to improve reasoning and reliability. However, we demonstrate that this conse…
cs.CL2026
Cleansing the Artificial Mind: A Self-Reflective Detoxification Framework for Large Language Models
Kaituo Zhang, Zhimeng Jiang, Na Zou
Recent breakthroughs in Large Language Models (LLMs) have revealed remarkable generative capabilities and emerging self-regulatory mechanisms, including self-correction and self-re…