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Hallucination Evaluation on HallusionBench

82.02AccuracyMIRROR(ours)
49.343257.826666.3174.7934Jun 18, 2024Oct 14, 2024Feb 9, 2025Jun 7, 2025Oct 3, 2025Jan 29, 2026May 27, 2026

Evaluation results

MethodLinks
MIRROR(ours)Param Size=7B2026.0282.02————————————
VL-RethinkerReasoning Paradigm=Tool-use & RL Enhanced Reasoning2026.0171.08————————————
ZoomEyeModel Type=Thinking-with-Images Agent Model2026.0471.08————————————
Visual Para-ThinkerSize=7B2026.0271————————————
Qwen2.5-VLSize=72B2026.0270————————————
EvoLMMBackbone=Qwen2.5-VL-7B-Instruct2026.0269.72————————————
VisionZero-CLEVRBackbone=Qwen2.5-VL-7B-Instruct2026.0269.51————————————
Qwen3-VL-30B+VRGABackbone=Qwen3-VL-30B, Enhancement=VRGA2026.0369.4————————5161.4——
Qwen3.5Parameters=9B, Internal Reasoning (Think mode)=false2026.0569.3————————————
VisionZero-ChartBackbone=Qwen2.5-VL-7B-Instruct2026.0269.09————————————
SenseNova-U1Parameters=30BA3B, Internal Reasoning (Think mode)=true2026.0568.95————————————
Base ModelBackbone=Qwen2.5-VL-7B-Instruct2026.0268.87————————————
Qwen2.5-VL-7BParam Size=7B2026.0268.66————————————
VisionZero-RealWorldBackbone=Qwen2.5-VL-7B-Instruct2026.0268.56————————————
VisPlayBackbone=Qwen2.5-VL-7B-Instruct2026.0268.56————————————
Qwen3-VL-30BBackbone=Qwen3-VL-30B2026.0368.55————————50.761.1——
MIRROR(w/o tool)Param Size=7B2026.0268.24————————————
Active-ZeroBackbone=Qwen2.5-VL-7B-Instruct2026.0268.03————————————
Qwen3.5Parameters=35BA3B, Internal Reasoning (Think mode)=false2026.0567.9————————————
SenseNova-U1Parameters=8B, Internal Reasoning (Think mode)=true2026.0567.75————————————
LaserReasoning Paradigm=Latent Reasoning2026.0167.72————————————
LaserModel Type=Visual-Latent Model2026.0467.72————————————
Majority voting@4Size=7B2026.0266.8————————————
SequentialSize=7B2026.0266.7————————————
Qwen2.5-VLSize=7B2026.0266————————————
Qwen3VLParameters=30BA3B, Internal Reasoning (Think mode)=true2026.0566————————————
Qwen3VLParameters=8B, Internal Reasoning (Think mode)=true2026.0565.4————————————
TroL-7BParameters=7B2024.0665.3————————————
LVRReasoning Paradigm=Latent Reasoning2026.0165.19————————————
LVRModel Type=Visual-Latent Model2026.0465.19————————————
VisPlayBackbone=Qwen2.5-VL-3B-Instruct2026.0264.88————————————
Active-ZeroBackbone=Qwen2.5-VL-3B-Instruct2026.0264.14————————————
ThinkLite-VLData Size=11k2026.0463.9————————————
Vision-R1Reasoning Paradigm=Tool-use & RL Enhanced Reasoning2026.0163.83————————————
Gemini2.5-ProSize=-2026.0263.7————————————
OpenVLThinkerData Size=59.2k2026.0463.7————————————
HyLaR-7BModel Type=Visual-Latent Model, Number of Parameters=7B2026.0463.68————————————
GPT5-miniSize=-2026.0263.2————————————
Qwen2.5-VL-3BParam Size=3B2026.0263.09————————————
DeepEyesReasoning Paradigm=Tool-use & RL Enhanced Reasoning2026.0162.57————————————
DeepEyesModel Type=Thinking-with-Images Agent Model2026.0462.57————————————
V-STARData Size=40k2026.0462.3————————————
Visual Para-ThinkerSize=3B2026.0262.2————————————
GPT-4oSize=-2026.0261.4————————————
Qwen3-VLArchitecture Type=Modular, Parameter Scale=8B, Instruction Tuning=Instruct2026.0561.1————————————
R1-OnevisionData Size=155k2026.0460.9————————————
Qwen2.5VL2026.0460.3————————————
HyLaR-SFTModel Type=Visual-Latent Model, Training Protocol=SFT2026.0460.23————————————
Base ModelBackbone=Qwen2.5-VL-3B-Instruct2026.0260.04————————————
Vision-R1Data Size=210k2026.0459.8————————————
NEO-ovArchitecture Type=Native, Parameter Scale=8B, Instruction Tuning=Instruct2026.0559.8————————————
Claude-4-SonnetSize=-2026.0259.2————————————
DenseMLLM-4BModel Scale=4B2026.0259.1————————————
SequentialSize=3B2026.0258.3————————————
Majority voting@4Size=3B2026.0258.1————————————
Qwen3-VL-4BModel Scale=4B2026.0257.6————————————
PAPOReasoning Paradigm=Tool-use & RL Enhanced Reasoning2026.0157.52————————————
VAPOModel Scale=7B2025.0957.4————————————
Qwen2-VL-7B+VRGABackbone=Qwen2-VL-7B, Enhancement=VRGA2026.0357.1————————43.857.7——
Qwen2.5-VL-7BReasoning Paradigm=Zero-Shot VLMs2026.0156.57————————————
Qwen2.5-VL-7BModel Type=Open-Source Model, Number of Parameters=7B2026.0456.57————————————
MonetReasoning Paradigm=Latent Reasoning2026.0156.36————————————
MonetModel Type=Visual-Latent Model2026.0456.36————————————
VL-CogitoData Size=80k2026.0456.2————————————
InternVL3.5-8BReasoning Paradigm=Zero-Shot VLMs2026.0156.15————————————
InternVL3.5-8BModel Type=Open-Source Model, Number of Parameters=8B2026.0456.15————————————
Qwen2.5-VLSize=3B2026.0256.1————————————
VL-RethinkerData Size=39k2026.0456.1————————————
Qwen2.5-VL-7B+VRGABackbone=Qwen2.5-VL-7B, Enhancement=VRGA2026.0355.9————————44.454.9——
PAPOModel Scale=7B, Decoding Strategy=greedy decoding2025.0955.6————————————
ThymeModel Type=Thinking-with-Images Agent Model2026.0455.6————————————
Qwen2.5-VL-3B+VRGABackbone=Qwen2.5-VL-3B, Enhancement=VRGA2026.0355.4————————45.943.3——
VL-RethinkerModel Scale=7B2025.0955.4————————————
Qwen2-VL-7BBackbone=Qwen2-VL-7B2026.0355.1————————42.558.3——
GPT-4oModel Modality Type=Proprietary2024.1055————————————
MM-EurekaModel Scale=7B2025.0954.8————————————
NEO-ovArchitecture Type=Native, Parameter Scale=2B, Instruction Tuning=Instruct2026.0554.5————————————
InternVL3.5Architecture Type=Modular, Parameter Scale=8B, Instruction Tuning=Instruct2026.0554.5————————————
Qwen2.5-VL-7BBackbone=Qwen2.5-VL-7B2026.0354.2————————42.754.7——
SAILArchitecture Type=Native, Parameter Scale=8B, Instruction Tuning=Instruct2026.0554.2————————————
Qwen2.5-VL-3BBackbone=Qwen2.5-VL-3B2026.0353.4————————44.244.5——
Qwen2.5-VL-3B+CCOTBackbone=Qwen2.5-VL-3B, Enhancement=CCOT2026.0353.21————————————
Qwen2.5-VLArchitecture Type=Modular, Parameter Scale=8B, Instruction Tuning=Instruct2026.0552.9————————————
F3ARatio=60%2026.0552.83————————————
FastVRatio=60%2026.0552.52————————————
Qwen3-VL-2BRatio=100%2026.0552.41————————————
VisionZipRatio=60%2026.0552.41————————————
SAIL-VLModel Size=8B2025.0152.2————————————
SPHINX-Plus-13BParameters=13B2024.0652.1————————————
FastVRatio=40%2026.0552.1————————————
DivPruneRatio=60%2026.0551.78————————————
VisionZipRatio=40%2026.0551.68————————————
DivPruneRatio=40%2026.0551.57————————————
F3ARatio=40%2026.0551.47————————————
Qwen3-VLArchitecture Type=Modular, Parameter Scale=2B, Instruction Tuning=Instruct2026.0551.4————————————
CDPrunerRatio=60%2026.0551.36————————————
Qwen2-VL-7B+CCOTBackbone=Qwen2-VL-7B, Enhancement=CCOT2026.0351.21————————————
LLaVA-OneVisionReasoning Paradigm=Zero-Shot VLMs2026.0151.1————————————
LLaVA-OneVisionModel Type=Open-Source Model2026.0451.1————————————
Qwen2 VLModel Scale=7B, Model Modality Type=Vision-language2024.1050.6————————————