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feat: [GDPval-AA v2 Updates 1 / n] - GDPval Multi-Reference Model Support - #1663
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agronskiy
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Nice, thanks for making it back-compat!
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Signed-off-by: Alex Gronskiy <agronskiy@nvidia.com>
Signed-off-by: Alex Gronskiy <agronskiy@nvidia.com>
Signed-off-by: Alex Gronskiy <agronskiy@nvidia.com>
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could you share AA scores you have reproduced? |
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This is one of many changes needed to reproduce the AA v2 benchmark and doesn't reproduce AA scores by itself. Here is a message from David saying he was able to get ELO scores closer to AA's v1 score with this branch instead of main: https://nvidia.slack.com/archives/C0AUJLUCPR6/p1781747007273699?thread_ts=1781197862.311419&cid=C0AUJLUCPR6 
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cmunley1
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…port (#1663) Adds multi-reference model support and Bradley-Terry MLE ELO computation with multiple reference models in order to directly match AA's ELO score calcualtion algorithm: [GDPval-AA v2](https://artificialanalysis.ai/methodology/intelligence-benchmarking#gdpval-aa) > After collecting pairwise rankings, we fit them to a Bradley-Terry model via maximum likelihood estimation and compute confidence intervals using the sandwich estimator to establish our final Elo metric This is one of many changes needed to match AA's v2 benchmark. --------- Signed-off-by: Alex Gronskiy <agronskiy@nvidia.com> Co-authored-by: Virginia Adams <vadams@oci-hsg-cs-001-vscode-02.cm.cluster> Co-authored-by: Alex Gronskiy <agronskiy@nvidia.com> Signed-off-by: Rita Fernandes Neves <rfernandesne@nvidia.com>
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Adds multi-reference model support and Bradley-Terry MLE ELO computation with multiple reference models in order to directly match AA's ELO score calcualtion algorithm: GDPval-AA v2
This is one of many changes needed to match AA's v2 benchmark.