Author

Benjamin J. Lengerich

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#machine learning Preprint Sep 2026

SleuthBench: Benchmarking Statistical LLM Evaluation Using Tabular Hidden Signals

Evaluating statistical discovery by large language model (LLM) agents requires verifiable analytical ground truth. Establishing such ground truth for real-world datasets is costly, and prior knowledge of public datasets can influence agent responses. We introduce SLEUTHBENCH, a benchmark that addresses both problems by...

Jing-Yu Jia, Antoine Remond-Tiedrez, Aaron Alvarez et al. · 0 citations

Jul 2026

RUBRIC: Realism-Utility Balanced Ranking for Imbalanced Classification

This work introduces RUBRIC, a generator-agnostic filtering framework that formulates synthetic sample selection as a quality-over-quantity optimization problem and shows that RUBRIC improves F1-macro and recall while maintaining comparable ROC-AUC across several generators.

Yan-Xuan Yu, Dong Liu, Shu Wang et al. · arXiv.org · 1 citation

Preprint Jul 2026

Context-Adaptive Inference: A Unified Statistical and Foundation-Model View

This article provides a unified view of context-adaptive inference across three traditions that are usually treated separately: explicit adaptation in statistics, rapid task-specific adaptation in meta-learning and transfer, and implicit adaptation in large foundation models via prompting, retrieval, and expert routing...

Yueting Yao, Caleb N. Ellington, Jingyun Jia et al. · 0 citations