Microsoft Research's BI-Bench shows frontier LLMs score under 50% on end-to-end BI
trevposts · x · 2026-09-22
Microsoft Research released BI-Agent and BI-Bench on Hugging Face, the first benchmark to systematically test LLMs on end-to-end business intelligence. Harvested from real-world BI projects with (question, ground-truth) pairs extracted from actual user dashboards, the benchmark exposes that even frontier LLMs score under 50% accuracy on the traditional four-step BI pipeline (identify tables, transform, join, answer). Their tool-augmented BI-Agent decomposes workflows into search/join/transform subtasks and gains up to 40 percentage points over vanilla LLMs; a post-training framework synthesizing trajectories from real BI projects (SFT + RL) adds up to 30 more points. Key takeaway: combining tool-augmented reasoning with domain-specific post-training is the promising path for complex BI workflows.
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