Antoine Remond-Tiedrez

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...