List your company

Visual Hallucination Evaluation on HallusionBench

76.6AccuracyQwen2-VL-72B-Thinking
52.99259.12165.2571.379Aug 27, 2025Oct 17, 2025Dec 8, 2025Jan 28, 2026Mar 21, 2026May 11, 2026Jul 2, 2026

Evaluation results

MethodLinks
Qwen2-VL-72B-ThinkingMax Output Tokens=40K2026.0376.6————
Qwen2-VL-72B-ThinkingMax Output Tokens=4K2026.0376.4————
Vision-SR1Backbone=Mimo-VL-7B2025.0875.6——49.5—
InternVL3.5-38BAttack=Benign2026.0775.07————
Qwen3-VL + DISCO (10K)Backbone=Qwen3-VL, Alignment Strategy=DISCO (10K)2026.0274.97————
Vision-R1Backbone=Mimo-VL-7B, Training Data=47K data2025.0874.3——46—
Visual Para-Thinker++Size=7B2026.0673.8————
Qwen3-VLBackbone=Qwen3-VL2026.0273.5————
Qwen2-VL-7B-ThinkingMax Output Tokens=40K2026.0373————
Qwen2.5-VL-7B + ECRDParameters=7B, Enhancement=ECRD2026.0272.5————
Qwen3-VL + Textual (10K)Backbone=Qwen3-VL, Alignment Strategy=Textual (10K)2026.0272.24————
Zero-shot InferenceBackbone=Mimo-VL-7B, Inference Protocol=Zero-shot (before RL)2025.0871.9——44.4—
Qwen2-VL-7B-ThinkingMax Output Tokens=4K2026.0371.6————
InternVL3.5-8BAttack=Benign2026.0771.39————
Visual Para-ThinkerSize=7B2026.0671————
Kimi-VL-A3B-Thinking2026.0370.6————
Qwen2.5-VLSize=72B2026.0670————
Qwen2.5-VL-72B-InstructAttack=Benign2026.0769.61————
Optimization-based Token SelectionTarget Model=InternVL3.5-8B2026.0769.6————
InternVL3.5-4BAttack=Benign2026.0769.08————
Vision-SR1Backbone=Qwen2.5-VL-7B2025.0868.9——52.2—
GRPOSize=7B2026.0668.8————
Vision-SR1Backbone=Qwen2.5-VL-3B2025.0868.3——48.8—
Qwen2.5-VL-7B + supervisorParameters=7B, Enhancement=supervisor2026.0267.5————
Vision-R1Backbone=Qwen2.5-VL-3B, Training Data=47K data2025.0867.4——47.1—
Majority voting@4Size=7B2026.0666.8————
Sequential (SFT)Size=7B2026.0666.7————
Vision-R1Backbone=Qwen2.5-VL-7B, Training Data=47K data2025.0866.6——50.7—
Qwen2.5-VLSize=7B2026.0666————
Percention-R1 (7B)Backbone=7B2025.0865.4——45.2—
gemma-2-9b-it2026.0365.3————
Qwen2.5-VL-7B-InstructAttack=Benign2026.0765.19————
Visual Para-Thinker++Backbone=Qwen2.5-VL-7B, Training Stage (MAC/RDMAO)=MAC+RDMAO2026.0664.7———2,540
Phi-4-reasoning-vision-15BThinking Mode=default2026.0364.4————
Visual Para-Thinker++Size=3B2026.0664————
Phi-4-reasoning-vision-15BThinking Mode=force thinking2026.0363.9————
MiniCPM-v2.6Backbone=MiniCPM-v2.62026.0263.83————
LLaVA-OneVision-7B + ECRDParameters=7B, Enhancement=ECRD2026.0263.7————
Gemini2.5-ProSize=-2026.0663.7————
Qwen2.5-VL-3B-InstructParams=3.75B2025.1263.62————
MiniCPM-v2.6 + HIPPOBackbone=MiniCPM-v2.6, Alignment Strategy=HIPPO2026.0263.41————
GPT5-miniSize=-2026.0663.2————
POW3R dynamicBase policy=Qwen3-VL-8B2026.0562.9————
Category-balancedBase policy=Qwen3-VL-8B2026.0562.6————
Category-balancedBase policy=Qwen3-VL-4B2026.0562.5————
BinaryBase policy=Qwen3-VL-8B2026.0562.5————
POW3R dynamicBase policy=Qwen3-VL-4B2026.0562.4————
BaseBase policy=Qwen3-VL-8B2026.0562.4————
Static scalarBase policy=Qwen3-VL-4B2026.0562.2————
Static scalarBase policy=Qwen3-VL-8B2026.0562.2————
Visual Para-ThinkerSize=3B2026.0662.2————
BaseBase policy=Qwen3-VL-4B2026.0562.1————
Qwen2-VL-2BParams=2.2B2025.1262.04————
BinaryBase policy=Qwen3-VL-4B2026.0562————
EVE-iter3Backbone=MiMo-VL-7B-SFT-2508, Training Iteration=32026.0461.89————
GPT-4oSize=-2026.0661.4————
Qwen2.5-VL-7BParameters=7B2026.0261.3————
EVE-iter1Backbone=MiMo-VL-7B-SFT-2508, Training Iteration=12026.0461.28————
EVE-iter2Backbone=MiMo-VL-7B-SFT-2508, Training Iteration=22026.0461.09————
MiMo-VL-7B-SFT-2508Backbone=MiMo-VL-7B-SFT-2508, Training Iteration=02026.0460.93————
GRPOSize=3B2026.0660.4————
Qwen2.5-VL-3B-InstructAttack=Benign2026.0760.04————
Qwen3-VL-8BTraining Strategy=Staged2026.0559.54————
Claude-4-SonnetSize=-2026.0659.2————
InternVL3.5-38BRatio=100%, Backbone=InternVL3.5-38B2026.0559.08————
F3ARatio=60%, Backbone=InternVL3.5-38B2026.0558.9————
VisionZipRatio=40%, Backbone=InternVL3.5-38B2026.0558.77————
DivPruneRatio=60%, Backbone=InternVL3.5-38B2026.0558.71————
FastVRatio=60%, Backbone=InternVL3.5-38B2026.0558.38————
InternVL2-2BParams=2.2B2025.1258.36————
VisionZipRatio=60%, Backbone=InternVL3.5-38B2026.0558.35————
Sequential (SFT)Size=3B2026.0658.3————
Majority voting@4Size=3B2026.0658.1————
Visual Para-Thinker++Backbone=Qwen2.5-VL-7B, Training Stage (MAC/RDMAO)=MAC only2026.0658———2,503
F3ARatio=40%, Backbone=InternVL3.5-38B2026.0557.96————
MobileNet-QwenParams=1.84B2025.1257.94————
DivPruneRatio=40%, Backbone=InternVL3.5-38B2026.0557.78————
FastVRatio=40%, Backbone=InternVL3.5-38B2026.0557.31————
Honeybee-Remake-SEED-200KModel=Qwen3-VL (4B), Selection Ratio=20%2026.0556.8————
BASEModel=Qwen3-VL (4B), Selection Ratio=0%2026.0556.7————
CDPrunerRatio=60%, Backbone=InternVL3.5-38B2026.0556.66————
Qwen2.5-VLSize=3B2026.0656.1————
AutoNeuralParams=1.47B2025.1256.05————
CDPrunerRatio=40%, Backbone=InternVL3.5-38B2026.0555.95————
FULLModel=Qwen3-VL (4B), Selection Ratio=100%2026.0555.9————
Base MLLM + Multi-Agent DebateBackbone=Qwen2.5-VL-7B2026.0655.4———2,854
InternViT-QwenParams=1.86B2025.1255.31————
LLaVA-OneVision-7BParameters=7B2026.0255.1————
VisionZipRatio=20%, Backbone=InternVL3.5-38B2026.0555.04————
F3ARatio=60%, Backbone=Qwen2.5-VL-7B2026.0554.62————
PReD2026.0354.5————
POW3R dynamicBase policy=Gemma3-4B2026.0554.4————
InternVL2-1BParams=0.94B2025.1254.26————
InternViT-LiquidParams=1.49B2025.1254.26————
Category-balancedBase policy=Gemma3-4B2026.0554.1————
FastVRatio=20%, Backbone=InternVL3.5-38B2026.0554.06————
BinaryBase policy=Gemma3-4B2026.0554————
DivPruneRatio=20%, Backbone=InternVL3.5-38B2026.0553.94————
BaseBase policy=Gemma3-4B2026.0553.9————
Base MLLM + Para-ThinkerBackbone=Qwen2.5-VL-7B, K (Number of Paths/Agents)=42026.0653.9———2,456