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Reward Modeling on Reward Bench Prior Sets

78.2Prior Sets ScoreCohere May 2024
64.78468.26771.7575.233Jun 12, 2024

Evaluation results

MethodLinks
Cohere May 2024Source of Model/Training Data=Proprietary Models2024.0678.2
Cohere March 2024Source of Model/Training Data=Proprietary Models2024.0674.6
RLHFlow-Llama 3 8BSource of Model/Training Data=Trained with GPT-4 Generated Data2024.0674.6
ArmoRM-Llama 3 8BSource of Model/Training Data=Trained with GPT-4 Generated Data2024.0674.3
GPT-4-0613Source of Model/Training Data=Proprietary Models2024.0673.6
GPT-4o-0513Source of Model/Training Data=Proprietary Models2024.0672.6
Eurus RM Mistral 7BSource of Model/Training Data=Trained with GPT-4 Generated Data2024.0671.7
Starling RM Yi 34BSource of Model/Training Data=Trained with GPT-4 Generated Data2024.0671.4
GPT-4-0125-previewSource of Model/Training Data=Proprietary Models2024.0670.9
Llama 3 70B InstructSource of Model/Training Data=Trained with Data allowing Permissive Use2024.0670.4
Claude-3-Opus-02292024Source of Model/Training Data=Proprietary Models2024.0670.3
Llama 3 70B (w. HH-RLHF)Source of Model/Training Data=Trained with Data allowing Permissive Use2024.0668.8
Llama 3 70B (w. HelpSteer)Source of Model/Training Data=Trained with Data allowing Permissive Use2024.0667.7
Nemotron-4 340B RM (w. HelpSteer2)Source of Model/Training Data=Proprietary Models2024.0667.4
Llama 3 70B (w. Open Assistant)Source of Model/Training Data=Trained with Data allowing Permissive Use2024.0666.7
Llama 3 70B RM (w. HelpSteer2)Source of Model/Training Data=Trained with Data allowing Permissive Use2024.0666.5
Pythia 1.4B (w. Open Assistant)Source of Model/Training Data=Trained with Data allowing Permissive Use2024.0665.3