{"about":{"non_affiliation":"Code with Papers and Syntology are not affiliated with, endorsed by, or sponsored by Papers with Code, Meta, or the pwc-archive mirror.","site":"https://codewithpapers.app","licence":"CC BY-SA 4.0","licence_url":"https://creativecommons.org/licenses/by-sa/4.0/legalcode","attribution":"https://codewithpapers.app/attribution","modified":"archive material modified by Syntology; see the attribution page","syntology":{"site":"https://syntology.ai","developers":"https://syntology.ai/developers","mcp":{"server":"https://syntology.ai/mcp","transport":"streamable-http","server_card":"https://syntology.ai/.well-known/mcp/server-card.json","auth":{"type":"trial token, no account","trial_token":"https://syntology.ai/api/oauth/trial/token","method":"POST","docs":"https://syntology.ai/developers"}},"have":"https://syntology.ai/api/graph/have?x=<method, arXiv id or title> (free, answers coverage only)","paper_base":"https://syntology.ai/paper/","atlas_base":"https://app.syntology.ai/?focus="},"machine_readable":[{"url":"https://codewithpapers.app/llms.txt","what":"the machine catalog: every machine-readable file, counted"},{"url":"https://codewithpapers.app/index/manifest.json","what":"paper-to-code index by arXiv id, with Syntology's counts"},{"url":"https://codewithpapers.app/search/manifest.json","what":"site search index (titles, authors) and its files"},{"url":"https://codewithpapers.app/download","what":"bulk files: Syntology's layer, described there"},{"url":"https://codewithpapers.app/build_manifest.json","what":"the build record: inputs, counts, exclusions, probes"}]},"url":"/task/medical-report-generation/papers/ran/1","list_of":"/task/medical-report-generation","task":"Medical Report Generation","archive":{"snapshot":"2025-07-28"},"key_notes":{"n_ran_checked":"legacy name, kept unchanged so existing readers do not break: it counts the samples that ran with no instrument failure (honoured, violated, and ran with no contract checked); it does not mean a contract was checked, and the pages print it as 'K with no instrument failure', not 'K checked'","n_constructed":"a sub-count of the samples that ran, never subtracted from them and never a failure: an executed sample whose run returned an instance of its own class (fixture_out_type equals the entry name): the run built an object and did not compute a result (Syntology's RAN record, counts.constructed)"},"syntology_read_at":"2026-09-28T10:30:06+00:00","order":"ran","order_definition":"only papers where Syntology ran at least one harvested sample; date (newest first), ties by arXiv id","caption":"We ran code from the paper's repository; we did not run it on this task or check it against the task's benchmarks.","absence":"A paper missing from this list is not a recorded non-run: it may have no arXiv id, no harvested code, or only samples that have not run yet.","page":1,"pages_in_order":1,"rows_per_page":100,"rows":[1,8],"of":8,"counts":{"archive_papers_tagged":110,"with_a_code_link":46,"where_syntology_ran_a_sample":8,"not_listed_spam_title":0,"listed":110,"listed_where_code_ran":8,"where_syntology_ran_a_sample_split":{"with_a_run_with_no_instrument_failure":7,"every_run_a_failure_of_syntologys_instrument":1,"listed_with_a_run_with_no_instrument_failure":7,"listed_every_run_a_failure_of_syntologys_instrument":1,"filter":{"states":["a run with no instrument failure","any run, instrument failures included"],"default":"a run with no instrument failure","note":"on the 'only where code ran' pages the default hides, in the browser, the rows where every run was a failure of Syntology's instrument; the second state shows them again. Rows are hidden, never re-ordered; these twins list every row"}},"definition":"distinct papers the archive tags; 'where Syntology ran a sample' counts papers with at least one harvested sample that ran, which is not a correctness claim"},"first_page":"/task/medical-report-generation/papers/ran/1","prev":null,"next":null,"papers":[{"url":"/paper/cxpmrg-bench-pre-training-and-benchmarking","slug":"cxpmrg-bench-pre-training-and-benchmarking","title":"CXPMRG-Bench: Pre-training and Benchmarking for X-ray Medical Report Generation on CheXpert Plus Dataset","date":"2024-10-01","arxiv_id":"2410.00379","repositories_listed":1,"syntology":{"n":4,"n_ran":4,"n_constructed":0,"n_ran_checked":3,"n_instrument":1,"n_unverified":0,"n_honours":0,"n_violates":0,"n_no_contract":3,"n_pointer_only":0,"phrase":"4 ran (of which 0 constructed an object rather than computing a result; 3 with no instrument failure: 0 honoured, 0 violated, 3 with no contract checked; 1 where Syntology's instrument failed) · 0 unverified","sample_list":"/paper/cxpmrg-bench-pre-training-and-benchmarking#ran","syntology_url":"https://syntology.ai/paper/2410.00379","mcp":{"get_harvested_code_for_paper":{"arxiv_id":"2410.00379"}},"official":{"repos":["event-ahu/medical_image_analysis"],"state":"official (archive's flag): 4 ran","n_ran":4,"n_constructed":0,"n_ran_no_instrument_failure":3,"n_unverified":0,"ran_from_kinds":["official"]}}},{"url":"/paper/ecg-chat-a-large-ecg-language-model-for","slug":"ecg-chat-a-large-ecg-language-model-for","title":"ECG-Chat: A Large ECG-Language Model for Cardiac Disease Diagnosis","date":"2024-08-16","arxiv_id":"2408.08849","repositories_listed":1,"syntology":{"n":14,"n_ran":6,"n_constructed":0,"n_ran_checked":4,"n_instrument":2,"n_unverified":8,"n_honours":0,"n_violates":1,"n_no_contract":3,"n_pointer_only":14,"phrase":"6 ran (of which 0 constructed an object rather than computing a result; 4 with no instrument failure: 0 honoured, 1 violated, 3 with no contract checked; 2 where Syntology's instrument failed) · 8 unverified","sample_list":"/paper/ecg-chat-a-large-ecg-language-model-for#ran","syntology_url":"https://syntology.ai/paper/2408.08849","mcp":{"get_harvested_code_for_paper":{"arxiv_id":"2408.08849"}},"official":{"repos":["YubaoZhao/ECG-Chat"],"state":"official (archive's flag): 6 ran","n_ran":6,"n_constructed":0,"n_ran_no_instrument_failure":4,"n_unverified":8,"ran_from_kinds":["official"]}}},{"url":"/paper/minigpt-med-large-language-model-as-a-general","slug":"minigpt-med-large-language-model-as-a-general","title":"MiniGPT-Med: Large Language Model as a General Interface for Radiology Diagnosis","date":"2024-07-04","arxiv_id":"2407.04106","repositories_listed":1,"syntology":{"n":5,"n_ran":5,"n_constructed":0,"n_ran_checked":1,"n_instrument":4,"n_unverified":0,"n_honours":0,"n_violates":1,"n_no_contract":0,"n_pointer_only":0,"phrase":"5 ran (of which 0 constructed an object rather than computing a result; 1 with no instrument failure: 0 honoured, 1 violated, 0 with no contract checked; 4 where Syntology's instrument failed) · 0 unverified","sample_list":"/paper/minigpt-med-large-language-model-as-a-general#ran","syntology_url":"https://syntology.ai/paper/2407.04106","mcp":{"get_harvested_code_for_paper":{"arxiv_id":"2407.04106"}},"official":{"repos":["vision-cair/minigpt-med"],"state":"official (archive's flag): 5 ran","n_ran":5,"n_constructed":0,"n_ran_no_instrument_failure":1,"n_unverified":0,"ran_from_kinds":["official"]}}},{"url":"/paper/meddr-diagnosis-guided-bootstrapping-for","slug":"meddr-diagnosis-guided-bootstrapping-for","title":"GSCo: Towards Generalizable AI in Medicine via Generalist-Specialist Collaboration","date":"2024-04-23","arxiv_id":"2404.15127","repositories_listed":1,"syntology":{"n":8,"n_ran":7,"n_constructed":0,"n_ran_checked":6,"n_instrument":1,"n_unverified":1,"n_honours":0,"n_violates":0,"n_no_contract":6,"n_pointer_only":0,"phrase":"7 ran (of which 0 constructed an object rather than computing a result; 6 with no instrument failure: 0 honoured, 0 violated, 6 with no contract checked; 1 where Syntology's instrument failed) · 1 unverified","sample_list":"/paper/meddr-diagnosis-guided-bootstrapping-for#ran","syntology_url":"https://syntology.ai/paper/2404.15127","mcp":{"get_harvested_code_for_paper":{"arxiv_id":"2404.15127"}},"official":{"repos":["sunanhe/meddr"],"state":"official (archive's flag): 7 ran","n_ran":7,"n_constructed":0,"n_ran_no_instrument_failure":6,"n_unverified":1,"ran_from_kinds":["official"]}}},{"url":"/paper/histgen-histopathology-report-generation-via","slug":"histgen-histopathology-report-generation-via","title":"HistGen: Histopathology Report Generation via Local-Global Feature Encoding and Cross-modal Context Interaction","date":"2024-03-08","arxiv_id":"2403.05396","repositories_listed":1,"syntology":{"n":6,"n_ran":6,"n_constructed":0,"n_ran_checked":5,"n_instrument":1,"n_unverified":0,"n_honours":0,"n_violates":1,"n_no_contract":4,"n_pointer_only":1,"phrase":"6 ran (of which 0 constructed an object rather than computing a result; 5 with no instrument failure: 0 honoured, 1 violated, 4 with no contract checked; 1 where Syntology's instrument failed) · 0 unverified","sample_list":"/paper/histgen-histopathology-report-generation-via#ran","syntology_url":"https://syntology.ai/paper/2403.05396","mcp":{"get_harvested_code_for_paper":{"arxiv_id":"2403.05396"}},"official":{"repos":["dddavid4real/HistGen"],"state":"official (archive's flag): 6 ran","n_ran":6,"n_constructed":0,"n_ran_no_instrument_failure":5,"n_unverified":0,"ran_from_kinds":["official"]}}},{"url":"/paper/interactive-and-explainable-region-guided","slug":"interactive-and-explainable-region-guided","title":"Interactive and Explainable Region-guided Radiology Report Generation","date":"2023-04-17","arxiv_id":"2304.08295","repositories_listed":1,"syntology":{"n":10,"n_ran":9,"n_constructed":0,"n_ran_checked":9,"n_instrument":0,"n_unverified":1,"n_honours":0,"n_violates":0,"n_no_contract":9,"n_pointer_only":0,"phrase":"9 ran (of which 0 constructed an object rather than computing a result; 9 with no instrument failure: 0 honoured, 0 violated, 9 with no contract checked; 0 where Syntology's instrument failed) · 1 unverified","sample_list":"/paper/interactive-and-explainable-region-guided#ran","syntology_url":"https://syntology.ai/paper/2304.08295","mcp":{"get_harvested_code_for_paper":{"arxiv_id":"2304.08295"}},"official":{"repos":["ttanida/rgrg"],"state":"official (archive's flag): 9 ran","n_ran":9,"n_constructed":0,"n_ran_no_instrument_failure":9,"n_unverified":1,"ran_from_kinds":["official"]}}},{"url":"/paper/dynamic-graph-enhanced-contrastive-learning","slug":"dynamic-graph-enhanced-contrastive-learning","title":"Dynamic Graph Enhanced Contrastive Learning for Chest X-ray Report Generation","date":"2023-03-18","arxiv_id":"2303.10323","repositories_listed":1,"syntology":{"n":11,"n_ran":10,"n_constructed":0,"n_ran_checked":3,"n_instrument":7,"n_unverified":1,"n_honours":0,"n_violates":0,"n_no_contract":3,"n_pointer_only":3,"phrase":"10 ran (of which 0 constructed an object rather than computing a result; 3 with no instrument failure: 0 honoured, 0 violated, 3 with no contract checked; 7 where Syntology's instrument failed) · 1 unverified","sample_list":"/paper/dynamic-graph-enhanced-contrastive-learning#ran","syntology_url":"https://syntology.ai/paper/2303.10323","mcp":{"get_harvested_code_for_paper":{"arxiv_id":"2303.10323"}},"official":{"repos":["mlii0117/dcl"],"state":"official (archive's flag): 10 ran","n_ran":10,"n_constructed":0,"n_ran_no_instrument_failure":3,"n_unverified":1,"ran_from_kinds":["official"]}}},{"url":"/paper/visualgpt-data-efficient-image-captioning-by","slug":"visualgpt-data-efficient-image-captioning-by","title":"VisualGPT: Data-efficient Adaptation of Pretrained Language Models for Image Captioning","date":"2021-02-20","arxiv_id":"2102.10407","repositories_listed":1,"syntology":{"n":3,"n_ran":1,"n_constructed":0,"n_ran_checked":0,"n_instrument":1,"n_unverified":2,"n_honours":0,"n_violates":0,"n_no_contract":0,"n_pointer_only":1,"phrase":"1 ran (of which 0 constructed an object rather than computing a result; 0 with no instrument failure: 0 honoured, 0 violated, 0 with no contract checked; 1 where Syntology's instrument failed) · 2 unverified","sample_list":"/paper/visualgpt-data-efficient-image-captioning-by#ran","syntology_url":"https://syntology.ai/paper/2102.10407","mcp":{"get_harvested_code_for_paper":{"arxiv_id":"2102.10407"}},"official":{"repos":["Vision-CAIR/VisualGPT"],"state":"official: harvested, nothing ran","n_ran":0,"n_constructed":0,"n_ran_no_instrument_failure":0,"n_unverified":2,"ran_from_kinds":["unlocated"]}}}],"record_sha256":"534f61f47efbdbc0de2548df9e29b1b17a8943bd3cb5ed9e5acfc27e49795fcf","record_changed_at":"2026-09-28","record_changed_at_basis":"first_hashed"}