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Information Visual Question Answering on InfoVQA (test)

89.3ANLSSeed-1.5-VL
42.70854.80466.978.996May 23, 2023Nov 12, 2023May 3, 2024Oct 23, 2024Apr 14, 2025Oct 4, 2025Mar 26, 2026

Evaluation results

MethodLinks
Seed-1.5-VLSize=20B2026.0389.3—
Pixelis (Qwen3-VL-8B-Instruct)Size=8B2026.0387.9—
Pixelis: SFT + RFTSize=8B2026.0386.7—
PRM (process reward; tools; 8B)Size=8B2026.0386.2—
Pixelis: SFT + TTRLSize=8B2026.0386.1—
Pixel Reasoner (Qwen3-VL-8B-Instruct)Size=8B2026.0385.8—
Pixelis: RFT + TTRLSize=8B2026.0385.8—
Late-fusionSize=8B2026.0385.6—
Step Self-Consistency (step-level)Size=8B2026.0385.4—
Pixelis: SFT onlySize=8B2026.0384.9—
Qwen-VL-Max-0809Params (B)=722024.1084.5—
Qwen2-VL-72B2024.1284.5—
Pixelis: RFT onlySize=8B2026.0384.4—
InternVL2.5-78B2024.1284.1—
RA-TTA (retrieval-augmented)Size=8B2026.0384—
InternVL2.5-38B2024.1283.6—
RV Self-Consistency (answer-only)Size=8B2026.0383.6—
Pixelis: TTRL onlySize=8B2026.0383.5—
Qwen3-VL-8B-InstructSize=8B2026.0383.1—
Realistic TTA of VLMs (StatA)Size=8B2026.0382.7—
InternVL2-Llama3-76B2024.1282—
Qwen3-VL-30B-A3B-InstructSize=30B2026.0382—
Molmo-72B2024.1281.9—
Gemini-1.5-ProModel Scale=High-End2024.0981—
Gemini-1.5-Pro2024.1281—
SmoLA PaLI-XOCR Usage=SOTA Overall2024.0280.3—
InternVL2.5-26B2024.1279.8—
GPT-4o-202405132024.1279.2—
InternVL2-40B2024.1278.7—
DocCogitoSize(B)=82026.0378.6—
InternVL2.5-8B2024.1277.6—
Qwen2-VL-7B2024.1276.5—
DocCogitoSize(B)=42026.0376—
InternVL2-26B2024.1275.9—
InternVL-1.5-Plusparameters=26B2024.1175.7—
Qwen3-VL-InstructSize(B)=82026.0375.7—
MartenSize(B)=8.12026.0375.2—
GPT-4V2024.1275.1—
LLaVA-OneVision-72B2024.1274.9—
InternVL2-8B2024.1274.8—
InternVL2Size(B)=8.12026.0374.8—
Qwen3-VL-InstructSize(B)=42026.0374.6—
Claude-3.5-Sonnet2024.1274.3—
Molmo-7B-D2024.1272.6—
InternVL-Chat-V1.52024.1272.5—
InternVL2.5-4B2024.1272.1—
TextHawk2Size(B)=7.42026.0367.8—
MM1.5-30BModel Scale=30B2024.0967.3—
InternVL2-4B2024.1267—
SMoLA-PaLI-X_FT (Specialist)Base model=PaLI-X, Per-task LoRA tuning=true, LoRA rank=42023.1266.2—
ScreenAIOCR Usage=With OCR2024.0265.9—
SMoLA-PaLI-XFTOCR pipeline input=true, Model Category=Generalist, Backbone=PaLI-X2023.1265.6—
Qwen2-VL-2B2024.1265.5—
PaLI-3 (Specialist)OCR pipeline input=true, Model Category=Specialist, Reference Citation=[8]2023.1262.4—
SOTA [8]2023.1262.4—
PaLI-3OCR Usage=With OCR2024.0262.4—
ScreenAIOCR Usage=Without OCR2024.0261.4—
InternVL2.5-2B2024.1260.9—
Mini-MonkeySize(B)=22026.0360.1—
MM1.5-7BModel Scale=7B2024.0959.5—
InternVL2-2BModel Scale=1B2024.0958.9—
InternVL2-2B2024.1258.9—
MM1.5-3BModel Scale=3B2024.0958.5—
DocLayLLMSize(B)=82026.0358.4—
Aquila-VL-2B2024.1258.3—
PaLI-3 (Specialist)OCR pipeline input=false, Model Category=Specialist, Reference Citation=[8]2023.1257.8—
PaLI-3OCR Usage=Without OCR2024.0257.8—
SMoLA-PaLI-3FTOCR pipeline input=true, Model Category=Generalist, Backbone=PaLI-32023.1257.3—
InternVL2.5-1B2024.1256—
MM1.5-1B-MOEModel Scale=1B, Architecture=MoE2024.0955.9—
Claude-3-Opus2024.1255.6—
PaLI-XBase model=PaLI-X2023.1254.8—
Gemini Nano-2Model Scale=3B2024.0954.5—
MM1.5-3B-MOEModel Scale=3B, Architecture=MoE2024.0953.6—
SMoLA-PaLI-3FTOCR pipeline input=false, Model Category=Generalist, Backbone=PaLI-32023.1252.4—
Gemini Nano-1Model Scale=1B2024.0951.1—
InternVL2-1B2024.1250.9—
DocOwl-1.5-ChatModel Scale=7B2024.0950.7—
DocOwl-1.5-ChatSize(B)=8.12026.0350.7—
MM1.5-1BModel Scale=1B2024.0950.5—
DocOwl-1.5Size(B)=8.12026.0350.4—
Zhang et al.Size(B)=8.12026.0350.2—
SMoLA-PaLI-XFTOCR pipeline input=false, Model Category=Generalist, Backbone=PaLI-X2023.1249.2—
Phi-3-Vision-4BModel Scale=4B2024.0949—
DocFormerv2largeModality=image + text + spatial features, Pre-train data=64M, #param=750M, Extra document VQA data=true2023.0648.8—
DocFormerv2Size(B)=0.752026.0348.8—
UDOPModality=image + text + spatial features, Pre-train data=11M, #param=794M2023.0647.4—
UDOPtype=specialized pipeline2023.0547.4—
MM1-30BModel Scale=30B2024.0947.3—
DocKylinSize(B)=7.12026.0346.6—
DocOwl2Size(B)=82026.0346.4—
T5large+2D+UModality=text / (text + spatial) features, #param=750M2023.0646.1—
Cambrian-34B2024.1246—
HVFAbackbone=mPLUG-Owl, fine-tuning dataset=650K2024.1145.9—
mPLUG-Owl-7B + OursModel Params=7.2B, Trainable Params=96M, Pre-training Data=1.1B, Fine-tuning Data=650K2024.1145.9—
Park et al.Size(B)=7.22026.0345.9—
MM1-7BModel Scale=7B2024.0945.5—
LayoutLMv3largeModality=image + text + spatial features, Pre-train data=11M, #param=368M2023.0645.1—
MM1-3BModel Scale=3B2024.0944.7—
CogAgentSize(B)=17.32026.0344.5—