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Multimodal Reward Modeling on MM-RLHF-Reward Bench

82.94AccuracyProxy-GRM-RL
14.466432.243250.0267.7968Mar 17, 2026

Evaluation results

MethodLinks
Proxy-GRM-RLProxy Agent=None, Data Size=45k2026.0382.9456.52
Proxy-GRM-RLProxy Agent=Proxy-SFT, Data Size=50k2026.0382.9456.52
Claude-3.7-SonnetProxy Agent=None, Data Size=-2026.0382.3565.22
Proxy-GRM-RLProxy Agent=Proxy-RL, Data Size=60k2026.0381.7658.7
R1-RewardProxy Agent=None, Data Size=>200k2026.0380.5954.35
Proxy-GRM-SFTProxy Agent=None, Data Size=10k2026.0379.4152.17
IXC-2.5-RewardProxy Agent=None, Data Size=>200k2026.0371.1850
Claude-3.5-Sonnet-(2024-06-22)Proxy Agent=None, Data Size=-2026.0362.9426.11
GPT-4o-(2024-08-06)Proxy Agent=None, Data Size=-2026.0358.2326.01
Qwen2-VL-72BProxy Agent=None, Data Size=-2026.0348.2313.04
Llama-3.2-90BProxy Agent=None, Data Size=-2026.0335.2910.86
NVLM-D-72BProxy Agent=None, Data Size=-2026.0334.76.52
VITA-1.5Proxy Agent=None, Data Size=-2026.0320.582.78
SliMEProxy Agent=None, Data Size=-2026.0317.11.76