DataFunSummit

Jul 11, 2026 · Artificial Intelligence

Why Diversity Beats Data Scale: Insights from MiniMax & Fudan’s DIVE Paper

The DIVE study shows that expanding the diversity of tool pools and task structures, rather than merely increasing the amount of homogeneous training data, dramatically improves LLM agents' ability to generalize to unseen tools, as demonstrated by a 12k‑vs‑48k experiment and reinforced by a four‑stage synthesis pipeline and RL fine‑tuning.