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Visual Reasoning on CharXiv (val)

37.95Text in Chart AccuracyVReST-Vote
27.321230.080632.8435.5994Jun 10, 2025

Evaluation results

MethodLinks
VReST-Votevoting=true2025.0637.9561.6239.2227.0737.338.4145.3843.738.5831.7536.2132.7438.1
VReSTBackbone=Qwen2.5-VL-3B-Instruct2025.0634.3251.5236.2126.233.3336.9635.2936.336.2233.3331.0333.6334.6
VReST-VoteBackbone=Qwen2.5-VL-3B-Instruct2025.0634.3252.5335.783134.9239.8636.9734.0740.1635.7130.1732.7435.7
Best-of-N2025.0634.0948.4828.0224.0233.3330.4330.2535.5638.5831.7524.1429.231.8
ToT2025.0634.0945.4533.6220.9630.9526.8136.9731.8535.4329.3726.7239.8232.1
VReST2025.0633.6454.5533.6222.2730.9531.1641.1840.7433.8626.9830.1729.233.1
ToTBackbone=Qwen2.5-VL-3B-Instruct2025.0633.4147.4737.9324.4533.3336.2330.2534.8137.0133.3331.0333.6333.8
CoT-Votevoting=true2025.0632.9545.4528.8822.7126.9828.9933.6130.3739.3729.3725.8632.7430.9
Best-of-NBackbone=Qwen2.5-VL-3B-Instruct2025.0632.7348.4834.0525.3331.7534.0629.4134.0735.4333.3333.6230.9732.9
QA2025.0631.8238.3828.4522.2733.3330.4331.9329.6335.4325.421.5527.4329.5
CoT-VoteBackbone=Qwen2.5-VL-3B-Instruct2025.0631.8249.4933.1924.0233.3334.0630.2531.8536.2232.5427.5930.0932.1
QABackbone=Qwen2.5-VL-3B-Instruct2025.0630.4547.4731.921.8330.9532.6127.7331.1134.6530.9527.5927.4330.5
COT2025.0629.0940.426.7218.7821.4327.5432.7729.6326.7723.8123.2833.6327.3
CoTBackbone=Qwen2.5-VL-3B-Instruct2025.0628.1844.4429.3120.9628.5729.7125.2128.8933.8627.7826.7225.6628.4
CantorBackbone=Qwen2.5-VL-3B-Instruct2025.0628.1844.4431.4721.429.3731.8826.0530.3733.0728.572526.5529
Cantor2025.0627.7343.4330.623.5826.1927.5427.7331.1137.0124.630.1727.4329