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.
All targetsAIMEBIG-Bench HardGPQA DiamondGSM8KHumanEvalIFEvalLiveCodeBenchMATHMBPPMMLUSWE-bench VerifiedWebArena
+8.0
DATCode Alpaca
lifts HumanEval · Code — Code instruction tuning.
+5.0
DATThe Stack v2
+3.5
lifts HumanEval · Code — Includes coding instructions.