Fine-Grained Benchmark Generation for Comprehensive Evaluation of Foundation Models

In three linesAutomated framework for generating fine-grained evaluation benchmarks for foundation models. Multi-agent pipeline with solution-graph-driven strategy improves ground-truth solution reliability. Three benchmarks generated (ML, Corporate Finance, Personal Finance) show lower error rates than MMLU/GSM8K. Evaluation of 12 models reveals performance differences missed by existing benchmarks.

Summary generated by Claude — human-verified