Extensive benchmarking of reasoning models including variance

In their R1 repo deepseek people recommend to estimate PASS@1 by asking the same question various times. We implemented that into our Reasoning benchmark. Additionaly to the averaged accuracy we report also average standard error as a measurement of uncertainty. Ideally that would include some plots.

Now we want to perform experiments how the results change under

• repeated experiment with same hyperparameters
• increased number of trials

I think the AIME 2024 is suited to this experiment because LIMO is quiet large and it will take long time to run experiments with a large number of trials.

Please see recently merged brach that includes measurement of uncertainty in reasoning models answers for more details and detailed explanation of the metrics.

Feel free to reach out to me if you have further questions.