Safetensors
gemma
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@@ -27,7 +27,7 @@ The General Preference Representation Model (GPM) improves preference-based rewa
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  ## Evaluation
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- The GPM is evaluated using the [RewardBench](https://github.com/allenai/reward-bench) leaderboard, showing significant improvements over the BT model, with a performance margin of up to 5.6%. GPM also excels in modeling cyclic preferences, achieving 100% accuracy on cyclic datasets.
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  ## Usage
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  ## Evaluation
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+ The GPM is evaluated using the [RewardBench](https://github.com/allenai/reward-bench) leaderboard, showing significant improvements over the BT model, with a performance margin of up to 9.11%. GPM also excels in modeling cyclic preferences, achieving 100% accuracy on cyclic datasets.
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  ## Usage
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