5 citations · 5 across the 3 of their papers we have counts for
3 papers
cs.AI2026
Do Language Models Converge to Themselves? Recursive Self-Refinement as Textual Relaxation
Xuening Wu, Qianya Xu, Yanlan Kang +3
Large language models are increasingly used in recursive refinement workflows, where an initial draft is repeatedly revised by the same model. Despite their growing use, the long-t…
cs.HC2026
Human-AI Co-Evolution and Epistemic Collapse: A Dynamical Systems Perspective
Xuening Wu, Yanlan Kang, Qianya Xu +5
Large language models (LLMs) are reshaping how knowledge is produced, with increasing reliance on AI systems for generation, summarization, and reasoning. While prior work has stud…
cs.CL2024★ 5 cited
LLM-Detector: Improving AI-Generated Chinese Text Detection with Open-Source LLM Instruction Tuning
Rongsheng Wang, Haoming Chen, Ruizhe Zhou +6
ChatGPT and other general large language models (LLMs) have achieved remarkable success, but they have also raised concerns about the misuse of AI-generated texts. Existing AI-gene…