Reward Modeling
RewardBench
RewardBench per-(reward-model, item) correctness on chosen>rejected ranking.
2,733items
118subjects
ODC-BYlicense
reward_modelingdomain
textmodality
item-level responses released
Saturation status: Unknown
Response matrix
Fit to width. Hover for subject & item; click a cell for details.

lowhighUnobserved
Scale: {0, 0.5, 1} (0.5 = judge tie, <1% of rows)
Subjects
- 1infly/INF-ORM-Llama3.1-70B0.9615
- 2nicolinho/QRM-Gemma-2-27B0.9518
- 3Skywork/Skywork-Reward-Gemma-2-27B-v0.20.9497
- 4Skywork/Skywork-Reward-Gemma-2-27B0.9451
- 5Skywork/Skywork-Reward-Llama-3.1-8B-v0.20.9404
- 6nicolinho/QRM-Llama3.1-8B-v20.939
- 7LxzGordon/URM-LLaMa-3.1-8B0.9374
- 8Skywork/Skywork-Reward-Llama-3.1-8B0.9333
- 9Ray2333/GRM-Llama3-8B-rewardmodel-ft0.924
- 10Ray2333/GRM-llama3.2-3B-rewardmodel-ft0.9209
- 11internlm/internlm2-20b-reward0.9176
- 12LxzGordon/URM-LLaMa-3-8B0.9142
- 13NCSOFT/Llama-3-OffsetBias-RM-8B0.9028
- 14internlm/internlm2-7b-reward0.8938
- 15Ray2333/GRM-llama3-8B-sftreg0.8908
- 16Skywork/Skywork-Critic-Llama-3.1-8B0.8898
- 17openai/gpt-4o-2024-08-060.8861
- 18Ray2333/GRM-gemma2-2B-rewardmodel-ft0.8858
- 19Ray2333/GRM-llama3-8B-distill0.8831
- 20openai/gpt-4o-2024-05-130.867
- 21opencompass/CompassJudger-1-14B-Instruct0.8665
- 22sfairXC/FsfairX-LLaMA3-RM-v0.10.8637
- 23meta-llama/Meta-Llama-3.1-405B-Instruct-Turbo0.8613
- 24mattshumer/Reflection-70B0.8606
- 25meta-llama/Meta-Llama-3.1-70B-Instruct0.8586
- 26CIR-AMS/BTRM_Qwen2_7b_06130.8566
- 27berkeley-nest/Starling-RM-34B0.8509
- 28Ray2333/GRM-Gemma-2B-rewardmodel-ft0.8496
- 29opencompass/CompassJudger-1-7B-Instruct0.8479
- 30openbmb/Eurus-RM-7b0.8449
- 31google/gemini-1.5-flash-0010.8382
- 32allenai/tulu-v2.5-13b-preference-mix-rm0.8322
- 33NCSOFT/Llama-3-OffsetBias-8B0.8275
- 34openai/gpt-4o-mini-2024-07-180.8271
- 35weqweasdas/RM-Mistral-7B0.8235
- 36google/gemma-2-27b-it0.8216