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.

+14.0
lifts MATH · MathCompetition math with CoT solutions.
+9.0
lifts MATH · MathBootstrapped/rewritten math reasoning. paper ↗
+8.0
methodChain-of-thought prompting
lifts MATH · MathWei et al. 2022 — step-by-step reasoning transfers to harder math. paper ↗
+8.0
methodProcess reward models (Let's Verify Step by Step)
lifts MATH · MathLightman et al. 2023 — step-level verifiers beat outcome-only reward on MATH. paper ↗
+5.0
lifts MATH · MathTransfers partially to competition math. paper ↗