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Chart Question Answering on ChartQA (test)

95.3AccuracyGenRecal
77.82882.36486.991.436Apr 25, 2024Aug 21, 2024Dec 18, 2024Apr 16, 2025Aug 13, 2025Dec 10, 2025Apr 8, 2026

Evaluation results

MethodLinks
GenRecalstudent=Qwen2-VL-7B, teacher=InternVL2.5-78B2025.0695.3——————————————
MiMo-VL-7B-SFT-2508Judge=GPT-4o2025.1293.2——————————————
MiMo-VL-Miloco-7BJudge=GPT-4o2025.1292——————————————
Claude 3.5Chain-of-Thought (CoT)=true2024.0790.8——————————————
Claude 3.5 Sonnet2024.1290.8——————————————
Claude-3.5 Sonnet2026.0490.8——————————————
Qwen2.5-VL-7BJudge=GPT-4o2025.1290.2——————————————
InternVL3-8BJudge=GPT-4o2025.1289.6——————————————
Qwen2.5-VL-7B + Saliency-R1Training Stage=Saliency-R12026.0488.2——————————————
Qwen2.5VLSize=7B, Type=AR, Samples=>9M2025.1287.3——————————————
Gemini-1.5-ProModel Scale=High-End2024.0987.2——————————————
Gemini 1.5 ProChain-of-Thought (CoT)=true2024.0787.2——————————————
Gemini-1.5-Pro2024.1287.2——————————————
Gemini 1.5 Pro2024.1287.2——————————————
Qwen2.5-VL-7B + SFTTraining Stage=SFT2026.0487.2——————————————
NVILA# Parameters=15B2024.1286.9——————————————
InternVL2# Parameters=40B2024.1286.2——————————————
NVILA# Parameters=8B2024.1286.1——————————————
NVLM-D-1.0# Parameters=78B2024.1286——————————————
Llama 3-V 405BChain-of-Thought (CoT)=true2024.0785.8——————————————
GPT-4oModel Scale=High-End2024.0985.7——————————————
GPT-4oChain-of-Thought (CoT)=true2024.0785.7——————————————
GPT-4o2024.1285.7——————————————
GPT-4o2024.1285.7——————————————
GPT-4o2026.0485.7——————————————
Qwen2.5-VL-7B + Q-ZoomThroughput=0.81×, Maximum visual tokens=5762026.0485.6——————————————
Llama 3.2# Parameters=90B2024.1285.5——————————————
Qwen2.5-VL-7B + SD-RPNThroughput=0.50×, Maximum visual tokens=5762026.0485.5——————————————
Qwen3-VL-4B + Q-ZoomThroughput=0.82×, Maximum visual tokens=5762026.0485——————————————
NVILA-Lite# Parameters=8B2024.1284.8——————————————
InternVL2.5size=8B2025.0684.8——————————————
InternVL-2-26BModel=InternVL-2-26B2026.0184.4——————————————
DiffusionVLSize=7B, Type=Diff., Samples=738K2025.1284.2——————————————
Qwen2.5-VL-3B + Saliency-R1Training Stage=Saliency-R12026.0484.2——————————————
PVC InternVL2 (Ours)Size=8B, #token /image tile=642024.1284.1——————————————
Qwen2.5-VL-3B + Q-ZoomThroughput=0.73×, Maximum visual tokens=5762026.0484.1——————————————
Qwen3-VL-8B-Instruct + DUPLModel Size=8B, Optimization=DUPL2025.1084.1——————————————
Qwen2.5VLSize=3B, Type=AR, Samples=>9M2025.1284——————————————
Qwen2.5-VL-3B + SFTTraining Stage=SFT2026.0484——————————————
Qwen2.5-VL-7BTraining Stage=Base2026.0484——————————————
Qwen3-VL-4BThroughput=1.0×, Maximum visual tokens=5762026.0484——————————————
Qwen3-VL-4B + SD-RPNThroughput=0.63×, Maximum visual tokens=5762026.0484——————————————
Mulberry-7B2026.0483.9——————————————
Vision-R1-LlamaV-CI-11B2026.0483.9——————————————
InternVL 1.5#param=26B, open-source=false2024.0483.8——————————————
Qwen2.5-VL-3B + SD-RPNThroughput=0.49×, Maximum visual tokens=5762026.0483.8——————————————
LLaVA-OneVision# Parameters=72B2024.1283.7——————————————
MM1.5-30BModel Scale=30B2024.0983.6——————————————
Qwen2.5-VL-3BTraining Stage=Base2026.0483.6——————————————
Llama 3.2# Parameters=11B2024.1283.4——————————————
InternVL2Size=8B, #token /image tile=2562024.1283.3——————————————
InternVL2# Parameters=8B2024.1283.3——————————————
Phi-4-reasoning-vision-15BThinking Mode=default2026.0383.3——————————————
Llama 3-V 70BChain-of-Thought (CoT)=true2024.0783.2——————————————
Qwen2-VL-InstructLLM=Qwen2-7B, Vision Encoder=DFN-CLIP-H2024.1283——————————————
Qwen2-VLSize=7B, #token /image tile=Native resolution (unfixed)2024.1283——————————————
Qwen2-VL# Parameters=8B2024.1283——————————————
LLaVA-Reasoner-8B2026.0483——————————————
Qwen2.5-VL-7BThroughput=1.0×, Maximum visual tokens=5762026.0483——————————————
Phi-4-reasoning-vision-15BThinking Mode=force thinking2026.0382.9——————————————
Qwen3-VL-4B-Instruct + DUPLModel Size=4B, Optimization=DUPL2025.1082.8——————————————
InternVL-2-8BModel=InternVL-2-8B2026.0182.5——————————————
MiniCPM-V-2.6-8B2026.0482.4——————————————
Qwen2.5-VL-3BThroughput=1.0×, Maximum visual tokens=5762026.0482.3——————————————
IXC-2.5Size=7B, #token /image tile=4002024.1282.2——————————————
IXC-2.52026.0482.2——————————————
Qwen3-VL-8B-Instruct + GRPOModel Size=8B, Optimization=GRPO2025.1082.2——————————————
Pixtral# Parameters=12B2024.1281.8——————————————
NVILA-Lite# Parameters=15B2024.1281.8——————————————
Claude-3 Haikuopen-source=false2024.0481.7——————————————
Qwen3-VL-4B-Instruct + GRPOModel Size=4B, Optimization=GRPO2025.1081.7——————————————
Insight-V-8B2026.0481.5——————————————
Phi-3-Vision-4BModel Scale=4B2024.0981.4——————————————
Gemini Pro 1.5open-source=false2024.0481.3——————————————
ChartPaLIpretrained dataset=10B-WebLI, data=instruction data for charts2024.1181.3——————————————
IXC-2.5-7BModel=IXC-2.5-7B2026.0181.2——————————————
Claude-3 Sonnetopen-source=false2024.0481.1——————————————
LLaVA-OneVision-7B2026.0480.9——————————————
Gemini Ultra 1.0open-source=false2024.0480.8——————————————
Claude-3 Opusopen-source=false2024.0480.8——————————————
LLaVA-OVLLM=Qwen2-7B, Vision Encoder=SigLIP-SO400M2024.1280——————————————
LLaVA-OVSize=7B, #token /image tile=7292024.1280——————————————
LLaVA-OneVision# Parameters=8B2024.1280——————————————
LLaVA-OVSize=7B, Type=AR, Samples=7.8M2025.1280——————————————
DiffusionVLSize=3B, Type=Diff., Samples=738K2025.1279.9——————————————
Qwen-VL-Maxopen-source=false2024.0479.8——————————————
Qwen3-VL-8B-InstructModel Size=8B2025.1079.6——————————————
Qwen3-VL-4B-InstructModel Size=4B2025.1079.5——————————————
Qwen2-VL-72B-ThinkingMax Output Tokens=40K2026.0379.1——————————————
PVC InternVL2 (Ours)Size=2B, #token /image tile=642024.1278.9——————————————
LLaVA-OV (SI)LLM=Qwen2-7B, Vision Encoder=SigLIP-SO400M2024.1278.8——————————————
Llama 3-V 8BChain-of-Thought (CoT)=true2024.0778.7——————————————
LLaVA-OV-7B w/ CLIModel=LLaVA-OV-7B w/ CLI2026.0178.7——————————————
MM1.5-7BModel Scale=7B2024.0978.6——————————————
Qwen2-VL-7B-ThinkingMax Output Tokens=40K2026.0378.6——————————————
GPT-4Vopen-source=false2024.0478.5——————————————
GPT-4VModel Scale=High-End2024.0978.5——————————————
GPT-4V2024.1278.5——————————————
LLaVA-OV-7BModel=LLaVA-OV-7B2026.0178.5——————————————
Qwen2-VL-72B-ThinkingMax Output Tokens=4K2026.0378.5——————————————