评分 5.5 · 来源：cs.LG updates on arXiv.org · 发布于 2026-04-17
评分依据：Creative use of LLM as independent analyst for detecting data leakage in published research, meta-research angle is interesting
arXiv:2604.14161v1 Announce Type: cross Abstract: Reliable evaluation is essential in machine learning research, yet methodological flaws-particularly data leakage-continue to undermine the validity of reported results. In this work, we investigate whether large language models (LLMs) can act as independent analytical agents capable of identifying such issues in published studies. As a case study, we analyze a gesture-recognition paper reporting near-perfect accuracy on a small, human-centered dataset.