5 papers
Policy-Conditioned AI-Use Detection: An Evidentiary Framework for Academic Publishing
Jairo Diaz-Rodriguez, Mumin Jia
Major venues now publish detailed rules about how authors, reviewers, and area chairs may use AI, and those rules differ by role, by task, and by what must be disclosed. AI detecti…
When Can Digital Personas Reliably Approximate Human Survey Findings?
Mumin Jia, Yilin Chen, Divya Sharma +1
Digital personas powered by Large Language Models (LLMs) are increasingly proposed as substitutes for human survey respondents, yet it remains unclear when they can reliably approx…
Unsupervised Text Segmentation via Kernel Change-Point Detection on Sentence Embeddings
Mumin Jia, Jairo Diaz-Rodriguez
Unsupervised text segmentation is crucial because boundary labels are expensive, subjective, and often fail to transfer across domains and granularity choices. We propose Embed-KCP…
Consistent Kernel Change-Point Detection under m-Dependence for Text Segmentation
Jairo Diaz-Rodriguez, Mumin Jia
Kernel change-point detection (KCPD) has become a widely used tool for identifying structural changes in complex data. While existing theory establishes consistency under independe…
Dynamics of Spontaneous Topic Changes in Next Token Prediction with Self-Attention
Mumin Jia, Jairo Diaz-Rodriguez
Human cognition is punctuated by abrupt, spontaneous shifts between topics-driven by emotional, contextual, or associative cues-a phenomenon known as spontaneous thought in neurosc…