Author

Yawen Li

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#artificial intelligence Preprint Sep 2026

Beyond Sub-Gaussian Detector Scores: Robust Weighted Profile-Loss Change Point Detection for Human-LLM Text Segmentation

Mixed human-LLM documents require locating authorship transitions from detector scores whose reliability varies across text units. Existing weighted mean contrasts are vulnerable to extreme scores, while directly replacing means with robust centers obscures how a misplaced boundary changes the population objective. We...

Wan Tian, Zhong-Yi Li, Ya-Wen Li et al. · 0 citations

Jul 2026

What Does Your Short-Answer VQA Score Actually Measure? Evaluator-Dependent Instability in Multimodal Short-Answer Benchmarks

Official short-answer VQA scores should be accompanied by semantic audits and answer-type diagnostics to remain interpretable, because instability is structured by answer type: extractive and multi-span answers are far more evaluator-sensitive than scalar answers.

Guanhua Ye, Jing-Bin Niu, Yan Li et al. · arXiv.org · 0 citations