This article introduces two recent NL2SQL benchmark datasets—REEF, a synthetic e‑commerce database for end‑to‑end causal analysis, and text2SQL4PM, a bilingual process‑mining dataset—detailing their construction, evaluation results, and research implications for large language models.
This curated list gathers recent articles on statistical and probabilistic models, covering clustering analysis, various linear regression techniques, and causal analysis, providing convenient links for students and researchers to explore each topic in depth.
This article compiles recent Chinese-language resources on statistical and probabilistic models, organizing links to tutorials covering clustering analysis, various regression techniques, and causal inference, helping readers quickly locate essential learning material.
This article introduces causal analysis, outlines its major challenges such as correlation versus causation, confounding factors, and selection bias, explains a three‑step framework (association, intervention, counterfactual), and details how Beike applied these principles in a smart client‑management tool with rigorous A/B experiments.
This article introduces the author’s self‑developed Causal Association Method—originating from the Issue Map framework—to systematically describe, analyze, and conclude problems, then generate diverse solution ideas illustrated through real design scenarios and practical applications.
