MMODELYST
Decision engine

What lifts a score

The one question every model-builder asks: to improve a benchmark, what actually works — and by how much? Pick a target and see the datasets, RL environments, and methods shown to raise it, ranked by effect size, each linked to its evidence. Effect sizes are representative deltas from the cited work — they vary with base model and setup.

+7.0
methodInstruction tuning (Flan / scaling)
lifts BIG-Bench Hard · ReasoningChung et al. 2022 — strong gains on BIG-Bench Hard. paper ↗
+3.0
lifts BIG-Bench Hard · ReasoningHigher-quality pretraining. paper ↗
+3.0
lifts BIG-Bench Hard · ReasoningEmbodied planning transfer. paper ↗
+2.5
lifts BIG-Bench Hard · ReasoningAlignment helps reasoning formatting. paper ↗
+2.0
lifts BIG-Bench Hard · ReasoningGrounded instruction following. paper ↗