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Radiology Report Generation on CheXpert Plus (test)

0.377PrecisionMambaXray-VL-L
0.030680.120590.21050.30041Oct 1, 2024Dec 21, 2024Mar 13, 2025Jun 3, 2025Aug 24, 2025Nov 14, 2025Feb 4, 2026

Evaluation results

MethodLinks
MambaXray-VL-LEncoder=MambaXray-VL, Decoder=Llama2, Time (min)=55.18, Param (M)=202.322024.100.377———0.112—0.2760.1570.1390.3190.335—————
MambaXray-LVenue=CVPR25, Train Size=1.27M2025.090.377————————0.3190.335—————
CheXagentVenue=arXiv24, Train Size=8.5M2025.090.373————————0.1940.186—————
GPT2-MediumYear=2019, Parameters=354M, Is VLM=false, Training Time (min)=57.332024.100.358———0.063—0.1980.1040.0670.1860.165—————
GPT2-MediumYear=2019, Params=354M, FT-Size=223K2025.090.358————————0.1860.165—————
TIMEREncoder=Transformer, Decoder=Transformer, Time (min)=26.5, Param (M)=79.282024.100.345———0.083—0.2540.1210.1040.2380.234—————
TIMERVenue=CHIL23, Train Size=223K2025.090.345————————0.2380.234—————
VLCIEncoder=Transformer, Decoder=Transformer, Time (min)=123.71, Param (M)=91.462024.100.341———0.08—0.2470.1140.0720.1750.163—————
VLCIVenue=IEEE TIP25, Train Size=223K2025.090.341————————0.1750.163—————
Deepseek-LLMYear=2024, Parameters=6.9B, Is VLM=false, Training Time (min)=201.32024.100.336———0.096—0.2680.1370.150.2560.253—————
Yi-1.5Year=2024, Parameters=8.8B, Is VLM=false, Training Time (min)=48.52024.100.336———0.096—0.2690.1380.1550.2410.243—————
Deepseek-LLMYear=2024, Params=6.9B, FT-Size=223K2025.090.336————————0.2560.253—————
Yi-1.5 (9B)Year=2024, Params=8.8B, FT-Size=223K2025.090.336————————0.2410.243—————
WCLEncoder=Transformer, Decoder=Transformer, Time (min)=24.08, Param (M)=81.292024.100.335———0.084—0.2530.1260.1030.2590.256—————
WCLVenue=EMNLP21, Train Size=223K2025.090.335————————0.2590.256—————
Vicuna-V1.5Year=2023, Parameters=6.7B, Is VLM=false, Training Time (min)=722024.100.334———0.104—0.2720.160.2020.2580.276—————
Vicuna-V1.5Year=2023, Params=6.7B, FT-Size=223K2025.090.334————————0.2580.276—————
MambaXray-VL-BEncoder=MambaXray-VL, Decoder=Llama2, Time (min)=50.66, Param (M)=57.312024.100.333———0.105—0.2670.1490.1170.2640.273—————
MAMBAXRAY-VL-BPUBLISH=CVPR25, DECODER=LLAMA2-7B2026.020.333—————0.2670.1490.1170.2640.273—————
MambaXray-BVenue=CVPR25, Train Size=1.27M2025.090.333————————0.2640.273—————
Orca-2Year=2023, Parameters=6.7B, Is VLM=false, Training Time (min)=177.332024.100.33———0.103—0.270.1610.1990.2510.271—————
Orca-2 (7B)Year=2023, Params=6.7B, FT-Size=223K2025.090.33————————0.2510.271—————
R2GenCMNEncoder=Transformer, Decoder=Transformer, Time (min)=66.08, Param (M)=67.72024.100.329———0.087—0.2560.1270.1020.2410.231—————
R2GENCMNPUBLISH=ACL21, DECODER=TRANSFORMER2026.020.329—————0.2560.1270.1020.2410.231—————
R2GenCMNVenue=ACL21, Train Size=223K2025.090.329————————0.2410.231—————
CAMANetEncoder=Swin-Former, Decoder=Transformer, Time (min)=23.08, Param (M)=43.222024.100.328———0.083—0.2490.1180.090.2240.216—————
CAMANetVenue=IEEE JBHI23, Train Size=223K2025.090.328————————0.2240.216—————
Yi-1.5Year=2024, Parameters=6.1B, Is VLM=false, Training Time (min)=43.662024.100.322———0.091—0.2630.1310.1360.2290.226—————
Yi-1.5 (6B)Year=2024, Params=6.1B, FT-Size=223K2025.090.322————————0.2290.226—————
Llama-2Year=2023, Parameters=13.0B, Is VLM=false, Training Time (min)=116.422024.100.321———0.101—0.2690.160.2140.2540.267—————
Llama-2 (13B)Year=2023, Params=13.0B, FT-Size=223K2025.090.321————————0.2540.267—————
LAYER-WISE EXPERT-ALIGNED DECODING (LEAD)PUBLISH=OURS, DECODER=QWEN3-8B2026.020.32—————0.1970.1250.0820.2670.275—————
R2GenEncoder=Transformer, Decoder=Transformer, Time (min)=110.05, Param (M)=83.52024.100.318———0.081—0.2460.1130.0770.20.181—————
R2GENPUBLISH=EMNLP20, DECODER=TRANSFORMER2026.020.318—————0.2460.1130.0770.20.181—————
R2GenVenue=EMNLP20, Train Size=223K2025.090.318————————0.20.181—————
Orca-2Year=2023, Parameters=13.0B, Is VLM=false, Training Time (min)=108.662024.100.317———0.1—0.2660.1590.1870.2420.257—————
Orca-2 (13B)Year=2023, Params=13.0B, FT-Size=223K2025.090.317————————0.2420.257—————
Llama-2Year=2023, Parameters=6.7B, Is VLM=false, Training Time (min)=77.782024.100.315———0.102—0.2670.1570.1790.2440.26—————
R2GenGPTEncoder=Swin-Transformer, Decoder=Llama2, Time (min)=77.8, Param (M)=90.92024.100.315———0.101—0.2660.1450.1230.2440.26—————
R2GenCSREncoder=VMamba, Decoder=Llama2, Time (min)=31.2, Param (M)=91.72024.100.315———0.1—0.2650.1460.1210.2470.259—————
R2GENGPTPUBLISH=META-RAD.23, DECODER=LLAMA2-7B2026.020.315—————0.2660.1450.1230.2440.26—————
R2GENCSRPUBLISH=ARXIV24, DECODER=LLAMA2-7B2026.020.315—————0.2650.1460.1210.2470.259—————
Llama-2 (7B)Year=2023, Params=6.7B, FT-Size=223K2025.090.315————————0.2440.26—————
R2GenGPTVenue=Meta-Rad.23, Train Size=223K2025.090.315————————0.2440.26—————
R2GenCSRVenue=arXiv24, Train Size=223K2025.090.315————————0.2470.259—————
XProNetEncoder=Transformer, Decoder=Transformer, Time (min)=6.3, Param (M)=62.352024.100.314———0.1—0.2650.1460.1210.2470.259—————
XProNetVenue=ECCV22, Train Size=223K2025.090.314————————0.2470.259—————
Qwen-2Year=2024, Parameters=7.6B, Is VLM=false, Training Time (min)=103.332024.100.313———0.1—0.270.1420.1590.2690.261—————
Qwen-2Year=2024, Params=7.6B, FT-Size=223K2025.090.313————————0.2690.261—————
Token-MixerEncoder=ResNet-50, Decoder=Transformer, Time (min)=17.54, Param (M)=104.342024.100.309———0.091—0.2610.1350.0980.270.288—————
Token-MixerVenue=IEEE TMI23, Train Size=223K2025.090.309————————0.270.288—————
InternLMYear=2024, Parameters=7.3B, Is VLM=false, Training Time (min)=2942024.100.307———0.063—0.2070.1360.1040.2740.284—————
InternLMYear=2024, Params=7.3B, FT-Size=223K2025.090.307————————0.2740.284—————
Llama-3Year=2024, Parameters=8.0B, Is VLM=false, Training Time (min)=1302024.100.306———0.077—0.220.1210.1340.2320.222—————
R2GENGPTPUBLISH=META-RAD.23, DECODER=LLAMA3-8B2026.020.306—————0.220.1210.1340.2320.222—————
Llama-3Year=2024, Params=8.0B, FT-Size=223K2025.090.306————————0.2320.222—————
Qwen-1.5Year=2024, Parameters=7.7B, Is VLM=false, Training Time (min)=154.252024.100.303———0.098—0.2620.1390.1390.2330.241—————
Qwen-1.5Year=2024, Params=7.7B, FT-Size=223K2025.090.303————————0.2330.241—————
LAYER-WISE EXPERT-ALIGNED DECODING (LEAD)PUBLISH=OURS, DECODER=QWEN3-4B2026.020.296—————0.1920.1150.080.2420.25—————
Llama-3.1Year=2024, Parameters=8.0B, Is VLM=false, Training Time (min)=1102024.100.295———0.075—0.2210.1210.1360.2510.242—————
Llama-3.1Year=2024, Params=8.0B, FT-Size=223K2025.090.295————————0.2510.242—————
ORGanEncoder=CNN, Decoder=Transformer, Time (min)=46.66, Param (M)=67.52024.100.288———0.086—0.2610.1350.1070.2870.277—————
ORGanVenue=ACL23, Train Size=223K2025.090.288————————0.2870.277—————
CvT2DistilGPT2Encoder=Transformer, Decoder=GPT2, Time (min)=13.93, Param (M)=1282024.100.285———0.067—0.2380.1180.1010.2520.246—————
CVT2DISTILGPT2PUBLISH=AIM23, DECODER=GPT22026.020.285—————0.2380.1180.1010.2520.246—————
CvT2DistilGPT2Venue=AIM23, Train Size=223K2025.090.285————————0.2520.246—————
LAYER-WISE EXPERT-ALIGNED DECODING (LEAD)PUBLISH=OURS, DECODER=QWEN3-2B2026.020.282—————0.1880.1080.0750.2370.243—————
PromptMRGEncoder=ResNet-101, Decoder=Bert, Time (min)=108.45, Param (M)=219.922024.100.258———0.095—0.2220.1210.0440.2650.281—————
PromptMRGVenue=AAAI24, Train Size=223K2025.090.258————————0.2650.281—————
MiniCPM-V2.5Year=2024, Parameters=8.4B, Is VLM=true, Training Time (min)=51.52024.100.254———0.046—0.1770.0850.0760.1520.122—————
MiniCPM-V2.5Year=2024, Params=8.4B, FT-Size=223K2025.090.254————————0.1520.122—————
OraPOYear=–, Params=3B, FT-Size=1K2025.090.237————————0.8320.341—————
OraPOVenue=–, Train Size=1K2025.090.237————————0.8320.341—————
Zhu et al.Encoder=Transformer, Decoder=Transformer, Time (min)=10.03, Param (M)=85.952024.100.217———0.074—0.2350.1280.0780.3080.205—————
Zhu et al.Venue=MICCAI23, Train Size=223K2025.090.217————————0.3080.205—————
InternVL-2Year=2023, Parameters=8.0B, Is VLM=true, Training Time (min)=108.52024.100.196———0.058—0.1880.1120.0850.1270.132—————
InternVL-2Year=2023, Params=8.0B, FT-Size=223K2025.090.196————————0.1270.132—————
R2GenRLEncoder=Transformer, Decoder=Transformer, Time (min)=44.33, Param (M)=59.872024.100.193———0.035—0.1860.1010.0120.2290.196—————
R2GENRLPUBLISH=ACL22, DECODER=TRANSFORMER2026.020.193—————0.1860.1010.0120.2290.196—————
R2GenRLVenue=ACL22, Train Size=223K2025.090.193————————0.2290.196—————
Wang et al.Encoder=ViT, Decoder=Llama2, Time (min)=10.82, Param (M)=358.82024.100.175———0.064—0.220.110.0590.0990.078—————
Wang et al.Venue=VIS INT25, Train Size=223K2025.090.175————————0.0990.078—————
ASGMDEncoder=ResNet-101, Decoder=Transformer, Time (min)=87.37, Param (M)=277.412024.100.146———0.063—0.220.0940.0440.1080.055—————
ASGMDVenue=ESWA24, Train Size=223K2025.090.146————————0.1080.055—————
MSATEncoder=ViT-B/16, Decoder=Transformer, Time (min)=5.72, Param (M)=141.12024.100.044———0.036—0.1560.0660.0180.1420.057—————
M2KTEncoder=CNN, Decoder=Transformer, Time (min)=22.5, Param (M)=69.072024.100.044———0.078—0.2470.1010.0770.1420.058—————
MSATVenue=MICCAI22, Train Size=223K2025.090.044————————0.1420.057—————
M2KTVenue=MIA21, Train Size=223K2025.090.044————————0.1420.058—————
32-shot ICLBackbone=QoQ-Med2026.05—21.06——2.54—15.87—2.77————84.870.18430.1309
8-shot ICLBackbone=LLaVA-Med2026.05—23.04——2.48—15.55—3.49————85.120.32060.1081
AM-MRG2026.07—0.3810.238—0.109—0.282—0.221———————
CD4LMTPF=×3.61, TPS=98.492026.04——————49.21—3.38——55.943.86———
CogRad2026.07—0.4290.366—0.316—0.48—0.322———————
d3LLMTPF=×3.84, TPS=101.642026.04——————44.04—2.92——55.3940.35———
DIVEBackbone=QoQ-Med2026.05—20.37——3.93—18.76—4.65————85.050.41280.1718
DIVEBackbone=LLaVA-Med2026.05—27.79——5.31—18.99—7.49————85.860.43570.1688
dParallelTPF=×4.42, TPS=110.122026.04——————42.22—3.17——44.6536.72———
ECHOBaseTPF=×1.89, TPS=48.862026.04——————56.9—4.25——59.1252.64———
ECHOblk4TPF=×4.00, TPS=129.192026.04——————56.14—4.2——57.449.57———
ECHOblk8TPF=×8.00, TPS=274.212026.04——————55.21—4.14——56.8551.4———