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.

+8.0
lifts HumanEval · CodeCode instruction tuning.
+5.0
lifts HumanEval · CodeLarge permissively-licensed code pretraining corpus. paper ↗
+3.5
lifts HumanEval · CodeIncludes coding instructions.