method: qwen7b-retrieval2025-03-18

Authors: yc

Affiliation: CVC

Description: using 7B qwen

method: Qwen2.5-VL-7B-AWQ-lite2025-02-27

Authors: yc

Affiliation: CVC

Description: a half min_pixal and max_pixal

method: qwen2vl-2b ensemble2024-12-19

Authors: Wang KeLong

Description: Qwen2VL-2B is trained for mp-docvqa classification task, and Qwen2VL-2B is trained for sp-docvqa vqa taskļ¼ŒThe results from the four models are integrated through Qwen2VL-2B.

Ranking Table

Description Paper Source Code
AnswerPage predictionANLS per answer page position
DateMethodANLSAccuracyPage 0Page 1Page 2Page 3Page 4Page 5Page 6Page 7Page 8Page 9Page 10Page 11Page 12Page 13Page 14Page 15Page 16Page 17Page 18Page 19
2025-03-18qwen7b-retrieval0.876381.62980.92590.86180.81620.81860.81200.83060.75580.82250.87400.81520.75960.77000.75290.72190.57140.54550.78990.58840.80770.6750
2025-02-27Qwen2.5-VL-7B-AWQ-lite0.875250.78700.92920.85440.82660.83060.74970.85480.70980.83290.76140.79810.71940.81000.70360.80950.67690.58390.80070.70000.92310.5000
2024-12-19qwen2vl-2b ensemble0.850185.95340.89370.83630.79800.79650.77350.79030.66980.87180.81330.70040.76180.72290.80270.74330.72070.70310.77900.70500.88461.0000
2025-03-14Qwen-retrieval0.845850.78700.89090.83480.79640.82280.73370.79310.69060.78290.84320.70450.75700.80000.74330.56670.64290.62940.73550.70840.77690.7105
2025-03-02Qwen2.5-VL-3B-Instruct-AWQ0.840550.78700.89610.82200.79640.78120.73070.81310.66660.79330.76220.69500.70730.64000.63810.69330.59520.41720.75720.76000.81540.7500
2024-08-21Snowflake Arctic-TILT 0.8B0.812250.78700.86390.79670.75510.73120.71050.78370.69160.72390.77930.66480.78170.64450.70030.63930.72020.63640.73550.56500.69231.0000
2024-01-16GRAM0.803219.98410.83800.78540.75280.79080.74520.79220.74590.72290.74640.71020.81200.69050.75890.64730.57140.59090.74540.63670.88461.0000
2024-01-16GRAM C-Former0.781219.98410.81520.76590.73630.75690.71640.72380.74070.71800.75870.80030.76240.67710.77130.67720.57980.61720.63940.56640.83270.9250
2024-02-18ScreenAI 5B0.771177.88400.83040.73940.72610.74070.61000.72130.64540.63890.65730.75000.72620.74290.62950.51470.59320.68180.53830.59000.61540.9605
2025-01-15mPLUG-DocOwls0.693250.78700.76180.66360.64030.62190.52820.55070.53610.59600.63880.60150.63420.50000.59220.43510.46120.49380.51520.53330.63680.7105
2023-10-03(OCR-Free) Retrieval-based Baseline0.619981.55010.67550.59540.58020.56110.49860.49890.57600.49910.60620.66520.56650.34380.44700.41710.37130.59090.43210.25750.73080.9605
2023-03-28Hi-VT50.618479.63740.65710.60550.59070.54500.52590.54310.67470.61130.59710.79970.52910.36940.54660.33730.41440.38790.48350.40010.61871.0000
2023-02-14(Baseline) Longformer base concat0.528771.16960.62930.47460.44950.43710.39660.38890.44510.38830.48050.50490.28600.18880.08610.16000.17260.24480.14860.19120.11540.6625
2023-02-14(Baseline) T5 base concat0.50500.00000.71220.43900.25670.20810.14980.15330.21860.14150.13010.31350.11080.08290.08660.07740.08730.04810.16480.22400.00000.3875
2023-02-14(Baseline) BigBird ITC base concat0.492967.54330.65060.45290.37290.28830.18900.17260.16810.19620.18870.29570.18020.08000.08290.05950.02380.19930.07780.14000.07690.2375
2023-02-14(Baseline) LayoutLMv3 base - concat0.453851.94260.66240.39620.20200.11050.16090.04940.11650.04670.05960.31980.09800.08000.04330.11310.00000.04550.09780.14670.03850.2105

Ranking Graphic

Ranking Graphic