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cs.AI2026
BayesEvolve: Explicit Belief States for Autonomous Scientific Discovery
Xuening Wu, Shan Yu, Qianya Xu +1
Autonomous scientific discovery systems increasingly use large language models (LLMs) to propose new hypotheses, but many such systems condition primarily on experimental memory: a…
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…