Radiology Report Generation on IU-Xray (test)
0.448ROUGE-LZhou et al. (2021)
Evaluation results
| Method | Links | |||||||||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Zhou et al. (2021)2024.06 | 0.448 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| CogRad2026.07 | 0.429 | 0.549 | 0.379 | — | 0.201 | — | — | — | — | 0.724 | — | — | — | — | — | — | — | |
| XPRONETInput=paired images2023.06 | 0.411 | 0.525 | 0.357 | 0.262 | 0.199 | 0.22 | — | — | — | — | — | — | — | — | — | — | — | |
| DART2025.04 | 0.411 | 0.486 | 0.348 | 0.265 | 0.208 | 0.205 | — | — | — | — | — | — | — | — | — | — | — | |
| KiUTInput=paired images2023.06 | 0.409 | 0.525 | 0.36 | 0.251 | 0.185 | 0.242 | — | — | — | — | — | — | — | — | — | — | — | |
| HSA2026.07 | 0.405 | 0.527 | 0.361 | — | 0.196 | — | — | — | — | 0.598 | — | — | — | — | — | — | — | |
| BoxMed-RLYear=2025, Method type=BoxMed-RI2025.04 | 0.404 | 0.49 | 0.32 | 0.24 | 0.178 | 0.22 | — | — | — | — | 0.61 | — | — | — | — | — | — | |
| ORGAN2023.06 | 0.399 | 0.51 | 0.346 | 0.255 | 0.195 | 0.205 | — | — | — | — | — | — | — | — | — | — | — | |
| FMVPYear=2024, Method type=Region-Enhanced Encoder-Decoder2025.04 | 0.398 | 0.485 | 0.315 | 0.225 | 0.169 | 0.201 | — | — | — | — | — | — | — | — | — | — | — | |
| CMCA2023.06 | 0.392 | 0.496 | 0.349 | 0.268 | 0.215 | 0.209 | — | — | — | — | — | — | — | — | — | — | — | |
| TGRGPublication=MEDIA’25, Protocol=Supervised training2026.05 | 0.392 | 0.471 | 0.302 | 0.204 | 0.146 | 0.189 | 0.508 | 0.497 | 0.5 | — | — | — | — | — | — | — | 0.502 | |
| M2TR2023.06 | 0.39 | 0.486 | 0.317 | 0.232 | 0.173 | 0.192 | — | — | — | — | — | — | — | — | — | — | — | |
| I3 + C2FD2025.04 | 0.39 | 0.499 | 0.323 | 0.238 | 0.184 | 0.208 | — | — | — | — | — | — | — | — | — | — | — | |
| KERMBackbone=LLaVA-1.5-7b, Fine-tuning=LoRA2026.01 | 0.388 | 0.511 | 0.333 | 0.249 | 0.182 | 0.197 | — | — | — | — | — | — | — | — | — | — | — | |
| LM-RRGYear=2024, Method type=Prompts-Driven Large Language Models2025.04 | 0.387 | — | — | — | 0.208 | 0.216 | — | — | — | — | — | — | — | — | — | — | — | |
| MA2025.04 | 0.386 | 0.501 | 0.328 | 0.23 | 0.17 | 0.213 | — | — | — | — | — | — | — | — | — | — | — | |
| MAYear=2022, Method type=Region-Enhanced Encoder-Decoder2025.04 | 0.386 | 0.501 | 0.328 | 0.23 | 0.17 | 0.213 | — | — | — | — | — | — | — | — | — | — | — | |
| CMM-RL2023.06 | 0.384 | 0.494 | 0.321 | 0.235 | 0.181 | 0.201 | — | — | — | — | — | — | — | — | — | — | — | |
| PKERRG2026.01 | 0.384 | 0.45 | 0.301 | 0.213 | 0.158 | — | — | — | — | — | — | — | — | — | — | — | — | |
| CMMYear=2022, Method type=Region-Enhanced Encoder-Decoder2025.04 | 0.384 | 0.494 | 0.321 | 0.235 | 0.181 | 0.201 | — | — | — | — | — | — | — | — | — | — | — | |
| AM-MRG2026.07 | 0.384 | 0.489 | 0.339 | — | 0.192 | — | — | — | — | 0.613 | — | — | — | — | — | — | — | |
| DCLmodel_type=specialized2023.05 | 0.383 | — | — | — | 0.163 | 0.193 | — | — | — | 0.586 | — | — | — | — | — | — | — | |
| R2GenKG2026.07 | 0.383 | 0.468 | 0.312 | — | 0.181 | — | — | — | — | 0.701 | — | — | — | — | — | — | — | |
| TGRG + CAME-GRADProtocol=Supervised training2026.05 | 0.382 | 0.498 | 0.308 | 0.207 | 0.145 | 0.194 | 0.527 | 0.53 | 0.525 | — | — | — | — | — | — | — | 0.527 | |
| ContrastiveInput=paired images2023.06 | 0.381 | 0.492 | 0.314 | 0.222 | 0.169 | 0.193 | — | — | — | — | — | — | — | — | — | — | — | |
| CA2023.06 | 0.381 | 0.492 | 0.314 | 0.222 | 0.169 | 0.193 | — | — | — | — | — | — | — | — | — | — | — | |
| KNOWMAT2023.06 | 0.381 | 0.496 | 0.327 | 0.238 | 0.178 | — | — | — | — | — | — | — | — | — | — | — | — | |
| Med-LLM2025.04 | 0.381 | — | — | — | 0.168 | 0.209 | — | — | — | — | — | — | — | — | — | — | — | |
| KM2026.01 | 0.381 | 0.496 | 0.327 | 0.238 | 0.178 | — | — | — | — | — | — | — | — | — | — | — | — | |
| GSKYear=2022, Method type=Traditional Encoder-Decoder2025.04 | 0.381 | 0.496 | 0.327 | 0.238 | 0.178 | — | — | — | — | — | — | — | — | — | — | — | — | |
| METransformermodel_type=specialized2023.05 | 0.38 | 0.483 | 0.322 | 0.228 | 0.172 | 0.192 | — | — | — | 0.435 | — | — | — | — | — | — | — | |
| METransformer2025.04 | 0.38 | 0.483 | 0.322 | 0.228 | 0.172 | 0.192 | — | — | — | — | — | — | — | — | — | — | — | |
| METransformerYear=2023, Method type=Region-Enhanced Encoder-Decoder2025.04 | 0.38 | 0.483 | 0.332 | 0.228 | 0.172 | 0.192 | — | — | — | — | — | — | — | — | — | — | — | |
| AlignTransInput=paired images2023.06 | 0.379 | 0.484 | 0.313 | 0.225 | 0.173 | 0.204 | — | — | — | — | — | — | — | — | — | — | — | |
| ALIGNTRANSFOMER2023.06 | 0.379 | 0.484 | 0.313 | 0.225 | 0.173 | — | — | — | — | — | — | — | — | — | — | — | — | |
| M2KT2026.04 | 0.379 | 0.489 | 0.315 | 0.228 | 0.174 | — | — | — | — | 0.405 | — | — | — | — | — | — | — | |
| CMCL2023.06 | 0.378 | 0.473 | 0.305 | 0.217 | 0.162 | 0.186 | — | — | — | — | — | — | — | — | — | — | — | |
| CMCL2025.04 | 0.378 | 0.473 | 0.305 | 0.217 | 0.162 | 0.186 | — | — | — | — | — | — | — | — | — | — | — | |
| CMCL2026.04 | 0.378 | 0.473 | 0.305 | 0.217 | 0.162 | 0.186 | — | — | — | — | — | — | — | — | — | — | — | |
| Multicriteria2026.01 | 0.377 | 0.496 | 0.319 | 0.241 | 0.175 | — | — | — | — | — | — | — | — | — | — | — | — | |
| RAMTYear=2024, Method type=Region-Enhanced Encoder-Decoder2025.04 | 0.377 | 0.482 | 0.31 | 0.221 | 0.165 | 0.195 | — | — | — | — | — | — | — | — | — | — | — | |
| STREAMYear=2025, Method type=Prompts-Driven Large Language Models2025.04 | 0.377 | 0.499 | 0.333 | 0.238 | 0.178 | 0.213 | — | — | — | — | 0.608 | — | — | — | — | — | — | |
| R2GenGPT2026.07 | 0.377 | 0.488 | 0.316 | — | 0.173 | — | — | — | — | 0.438 | — | — | — | — | — | — | — | |
| PPKEDInput=paired images2023.06 | 0.376 | 0.483 | 0.315 | 0.224 | 0.168 | 0.19 | — | — | — | — | — | — | — | — | — | — | — | |
| PPKED2023.06 | 0.376 | 0.483 | 0.315 | 0.224 | 0.168 | — | — | — | — | — | — | — | — | — | — | — | — | |
| PPKED2025.04 | 0.376 | 0.483 | 0.315 | 0.224 | 0.168 | 0.19 | — | — | — | — | — | — | — | — | — | — | — | |
| PPKED2026.01 | 0.376 | 0.483 | 0.315 | 0.224 | 0.168 | 0.19 | — | — | — | — | — | — | — | — | — | — | — | |
| Clinical-BERTYear=2022, Method type=Region-Enhanced Encoder-Decoder2025.04 | 0.376 | 0.495 | 0.33 | 0.231 | 0.17 | 0.209 | — | — | — | — | — | — | — | — | — | — | — | |
| R2GenGPTYear=2023, Method type=Prompts-Driven Large Language Models2025.04 | 0.376 | 0.491 | 0.323 | 0.234 | 0.18 | 0.211 | — | — | — | — | 0.601 | — | — | — | — | — | — | |
| PPKED2026.04 | 0.376 | 0.483 | 0.315 | 0.224 | 0.168 | 0.19 | — | — | — | 0.351 | — | — | — | — | — | — | — | |
| RIHA2026.04 | 0.376 | 0.498 | 0.317 | 0.239 | 0.218 | 0.204 | — | — | — | 0.421 | — | — | — | — | — | — | — | |
| R2GENCMN2023.06 | 0.375 | 0.475 | 0.309 | 0.222 | 0.17 | 0.191 | — | — | — | — | — | — | — | — | — | — | — | |
| R2GenCMNmodel_type=specialized2023.05 | 0.375 | 0.475 | 0.309 | 0.222 | 0.17 | 0.191 | — | — | — | 0.641 | — | — | — | — | — | — | — | |
| R2GenCMN2025.04 | 0.375 | 0.475 | 0.309 | 0.222 | 0.17 | 0.191 | — | — | — | — | — | — | — | — | — | — | — | |
| CMN2026.01 | 0.375 | 0.475 | 0.309 | 0.222 | 0.17 | 0.191 | — | — | — | — | — | — | — | — | — | — | — | |
| CMNYear=2021, Method type=Region-Enhanced Encoder-Decoder2025.04 | 0.375 | 0.475 | 0.309 | 0.222 | 0.17 | 0.191 | — | — | — | — | 0.552 | — | — | — | — | — | — | |
| PromptMRG2026.04 | 0.374 | 0.488 | 0.253 | 0.237 | 0.189 | 0.192 | — | — | — | — | — | — | — | — | — | — | — | |
| MSATmodel_type=specialized2023.05 | 0.372 | 0.481 | 0.316 | 0.226 | 0.171 | 0.19 | — | — | — | 0.394 | — | — | — | — | — | — | — | |
| MSAT2025.04 | 0.372 | 0.481 | 0.316 | 0.226 | 0.171 | 0.19 | — | — | — | — | — | — | — | — | — | — | — | |
| R2GenCMNInput=paired images2023.06 | 0.371 | 0.47 | 0.304 | 0.219 | 0.165 | 0.187 | — | — | — | — | — | — | — | — | — | — | — | |
| R2GEN2023.06 | 0.371 | 0.47 | 0.304 | 0.219 | 0.165 | — | — | — | — | — | — | — | — | — | — | — | — | |
| R2Genmodel_type=specialized2023.05 | 0.371 | 0.47 | 0.304 | 0.219 | 0.165 | 0.187 | — | — | — | 0.43 | — | — | — | — | — | — | — | |
| R2Gen2025.04 | 0.371 | 0.47 | 0.304 | 0.219 | 0.165 | 0.187 | — | — | — | — | — | — | — | — | — | — | — | |
| R2Gen2026.01 | 0.371 | 0.47 | 0.304 | 0.219 | 0.165 | 0.187 | — | — | — | — | — | — | — | — | — | — | — | |
| R2GenYear=2020, Method type=Traditional Encoder-Decoder2025.04 | 0.371 | 0.475 | 0.304 | 0.219 | 0.17 | 0.187 | — | — | — | — | 0.53 | — | — | — | — | — | — | |
| R2GEN2026.04 | 0.371 | 0.39 | 0.293 | 0.236 | 0.161 | 0.187 | — | — | — | — | — | — | — | — | — | — | — | |
| COMG2026.04 | 0.371 | 0.481 | 0.313 | 0.232 | 0.183 | 0.189 | — | — | — | — | — | — | — | — | — | — | — | |
| R2Gen2026.07 | 0.371 | 0.47 | 0.304 | — | 0.165 | — | — | — | — | — | — | — | — | — | — | — | — | |
| CoAtt2026.01 | 0.369 | 0.455 | 0.288 | 0.205 | 0.154 | — | — | — | — | — | — | — | — | — | — | — | — | |
| COAT2026.04 | 0.369 | 0.455 | 0.288 | 0.205 | 0.154 | — | — | — | — | 0.277 | — | — | — | — | — | — | — | |
| EKAGen2026.04 | 0.368 | 0.471 | 0.308 | 0.223 | 0.172 | 0.201 | — | — | — | — | — | — | — | — | — | — | — | |
| SentSAT+KGInput=paired images2023.06 | 0.367 | 0.441 | 0.291 | 0.203 | 0.147 | — | — | — | — | — | — | — | — | — | — | — | — | |
| X-RGenmodel_type=generalist, optimized_on_merged_dataset=true, batch_size=1922023.05 | 0.367 | 0.466 | 0.306 | 0.225 | 0.177 | 0.199 | — | — | — | 0.602 | — | — | — | — | — | — | — | |
| SentSAT+KG2025.04 | 0.367 | 0.441 | 0.291 | 0.203 | 0.147 | — | — | — | — | — | — | — | — | — | — | — | — | |
| GSKET2026.04 | 0.367 | 0.49 | 0.311 | 0.236 | 0.177 | — | — | — | — | 0.379 | — | — | — | — | — | — | — | |
| X-RGenmodel_type=generalist, optimized_on_merged_dataset=true, batch_size=162023.05 | 0.365 | 0.444 | 0.287 | 0.202 | 0.152 | 0.19 | — | — | — | 0.509 | — | — | — | — | — | — | — | |
| R2GENCMN2026.04 | 0.365 | 0.402 | 0.31 | 0.225 | 0.175 | 0.19 | — | — | — | 0.344 | — | — | — | — | — | — | — | |
| XPRONet2026.04 | 0.364 | 0.48 | 0.312 | 0.225 | 0.175 | 0.19 | — | — | — | — | — | — | — | — | — | — | — | |
| Transformermodel_type=specialized2023.05 | 0.362 | 0.459 | 0.298 | 0.215 | 0.162 | 0.188 | — | — | — | 0.511 | — | — | — | — | — | — | — | |
| CMAS-RL2026.01 | 0.362 | 0.464 | 0.301 | 0.21 | 0.154 | — | — | — | — | — | — | — | — | — | — | — | — | |
| X-RGenmodel_type=specialized2023.05 | 0.361 | 0.441 | 0.285 | 0.208 | 0.163 | 0.184 | — | — | — | 0.609 | — | — | — | — | — | — | — | |
| X-RGenmodel_type=generalist, optimized_on_merged_dataset=true, batch_size=962023.05 | 0.361 | 0.454 | 0.29 | 0.21 | 0.161 | 0.187 | — | — | — | 0.7 | — | — | — | — | — | — | — | |
| CAMANET2026.04 | 0.361 | 0.478 | 0.314 | 0.229 | 0.179 | 0.202 | — | — | — | 0.412 | — | — | — | — | — | — | — | |
| R2Genmodel_type=generalist, optimized_on_merged_dataset=true, batch_size=962023.05 | 0.355 | 0.433 | 0.275 | 0.196 | 0.147 | 0.184 | — | — | — | 0.47 | — | — | — | — | — | — | — | |
| CAMANET + CAME-GRADProtocol=Supervised training2026.05 | 0.349 | 0.409 | 0.261 | 0.19 | 0.145 | 0.17 | 0.52 | 0.514 | 0.516 | — | — | — | — | — | — | — | 0.517 | |
| CAMANETPublication=JBHI’24, Protocol=Supervised training2026.05 | 0.339 | 0.398 | 0.256 | 0.185 | 0.142 | 0.166 | 0.503 | 0.49 | 0.494 | — | — | — | — | — | — | — | 0.496 | |
| XPRONETPublication=ECCV’22, Protocol=Supervised training2026.05 | 0.336 | 0.44 | 0.271 | 0.183 | 0.132 | 0.182 | 0.598 | 0.588 | 0.59 | — | — | — | — | — | — | — | 0.592 | |
| XPRONET + CAME-GRADProtocol=Supervised training2026.05 | 0.333 | 0.463 | 0.292 | 0.204 | 0.151 | 0.181 | 0.619 | 0.603 | 0.606 | — | — | — | — | — | — | — | 0.609 | |
| R2Genmodel_type=generalist, optimized_on_merged_dataset=true, batch_size=1922023.05 | 0.332 | 0.349 | 0.217 | 0.153 | 0.114 | 0.154 | — | — | — | 0.359 | — | — | — | — | — | — | — | |
| WCL + CAME-GRADProtocol=Supervised training2026.05 | 0.332 | 0.362 | 0.226 | 0.163 | 0.124 | 0.156 | 0.522 | 0.514 | 0.516 | — | — | — | — | — | — | — | 0.517 | |
| DEEREvaluation Protocol=Zero-shot, Training Dataset=MIMIC-CXR2026.03 | 0.324 | — | — | — | 0.119 | 0.176 | 0.228 | 0.261 | 0.23 | — | — | — | — | — | — | — | — | |
| HRGR2026.01 | 0.322 | 0.438 | 0.298 | 0.208 | 0.151 | — | — | — | — | — | — | — | — | — | — | — | — | |
| HRGR2026.04 | 0.322 | 0.438 | 0.298 | 0.208 | 0.151 | — | — | — | — | 0.343 | — | — | — | — | — | — | — | |
| WCLPublication=EMNLP’21, Protocol=Supervised training2026.05 | 0.318 | 0.325 | 0.195 | 0.137 | 0.101 | 0.137 | 0.49 | 0.498 | 0.491 | — | — | — | — | — | — | — | 0.493 | |
| R2Genmodel_type=generalist, optimized_on_merged_dataset=true, batch_size=162023.05 | 0.316 | 0.306 | 0.175 | 0.117 | 0.084 | 0.134 | — | — | — | 0.289 | — | — | — | — | — | — | — | |
| PROMPTMRGPublication=AAAI’24, Protocol=Zero-shot inference2026.05 | 0.314 | 0.419 | 0.248 | 0.158 | 0.106 | 0.161 | 0.2 | 0.21 | 0.197 | — | — | — | — | — | — | — | 0.202 | |
| DDATRPublication=TMI’25, Protocol=Zero-shot inference2026.05 | 0.314 | 0.428 | 0.253 | 0.16 | 0.107 | 0.161 | 0.308 | 0.282 | 0.257 | — | — | — | — | — | — | — | 0.282 | |
| DDATR + CAME-GRADProtocol=Zero-shot inference2026.05 | 0.313 | 0.433 | 0.257 | 0.164 | 0.11 | 0.163 | 0.281 | 0.308 | 0.259 | — | — | — | — | — | — | — | 0.283 | |
| DCL + CAME-GRADProtocol=Supervised training2026.05 | 0.312 | 0.399 | 0.262 | 0.193 | 0.151 | 0.191 | 0.575 | 0.569 | 0.571 | — | — | — | — | — | — | — | 0.572 | |
| REVTAFPublication=ICCV’25, Protocol=Zero-shot inference2026.05 | 0.311 | 0.42 | 0.249 | 0.159 | 0.106 | 0.178 | 0.292 | 0.291 | 0.283 | — | — | — | — | — | — | — | 0.289 |