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Visual Reasoning on HR-Bench (test)

69.94AccuracyVIRC-7B
43.867250.636157.40564.1739Dec 16, 2025

Evaluation results

MethodLinks
VIRC-7B#Params=7B2025.1269.94———
VIRC-3B#Params=3B2025.1266.75———
Qwen2.5-VL-7B-Instruct#Params=7B2025.1265.5———
Qwen2.5-VL-3B-Instruct#Params=3B2025.1265———
Hint-GRPO-Qwen2-VL-7B#Params=7B2025.1261.63———
Hint-GRPO-Qwen2.5-VL-3B#Params=3B2025.1260.94———
GPT-4o2025.1260.15———
InternVL2.5-8B-MPO#Params=8B2025.1259.69———
InternVL2.5-8B#Params=8B2025.1258.69———
LLaVA-OV-Qwen2-7b-ov#Params=7B2025.1257.6———
DeepSeek-VL2#Params=4.5B2025.1256.37———
MM-Eureka#Params=7B2025.1251.5———
R1-VL-7B#Params=7B2025.1250.38———
MINT-CoT-7B#Params=7B2025.1247.63———
Qwen3-VL-8B-Instructw/ tool#Params=8B2025.1244.87———
DeepEyesSource=Reproduced through available model weights2025.12—75.571.373.4
DeepEyesv2Source=Reported in original or other relevant paper2025.12—77.973.875.9
DRIM2025.12—83.382.983.1
Gemini 2.5 Pro2025.12—68.560.164.3
GPT-52025.12—74.272.473.3
LLaVA-OneVisionSource=Reported in original or other relevant paper2025.12—61.25457.6
Mini-o3Source=Reproduced through available model weights2025.12—73.57373.3
Ovis2.5-9B2025.12—72.967.170
ThymeSource=Reported in original or other relevant paper2025.12—777274.5