{"id":"https://openalex.org/W4409720608","doi":"https://doi.org/10.1145/3706599.3719852","title":"Adaptive Human-LLMs Interaction Collaboration: Reinforcement Learning driven Vision-Language Models for Medical Report Generation","display_name":"Adaptive Human-LLMs Interaction Collaboration: Reinforcement Learning driven Vision-Language Models for Medical Report Generation","publication_year":2025,"publication_date":"2025-04-23","ids":{"openalex":"https://openalex.org/W4409720608","doi":"https://doi.org/10.1145/3706599.3719852"},"language":"en","primary_location":{"id":"doi:10.1145/3706599.3719852","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3706599.3719852","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Extended Abstracts of the CHI Conference on Human Factors in Computing Systems","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5100612686","display_name":"Yiming Cao","orcid":"https://orcid.org/0000-0003-4945-4049"},"institutions":[{"id":"https://openalex.org/I172675005","display_name":"Nanyang Technological University","ror":"https://ror.org/02e7b5302","country_code":"SG","type":"education","lineage":["https://openalex.org/I172675005"]}],"countries":["SG"],"is_corresponding":false,"raw_author_name":"Yiming Cao","raw_affiliation_strings":["Alibaba-NTU Global e-Sustainability CorpLab (ANGEL), Nanyang Technological University, Singapore, Singapore"],"raw_orcid":"https://orcid.org/0000-0003-4945-4049","affiliations":[{"raw_affiliation_string":"Alibaba-NTU Global e-Sustainability CorpLab (ANGEL), Nanyang Technological University, Singapore, Singapore","institution_ids":["https://openalex.org/I172675005"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100332644","display_name":"Zhen Li","orcid":"https://orcid.org/0000-0002-9783-169X"},"institutions":[{"id":"https://openalex.org/I4210161528","display_name":"Qilu Hospital of Shandong University","ror":"https://ror.org/056ef9489","country_code":"CN","type":"healthcare","lineage":["https://openalex.org/I4210161528"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhen Li","raw_affiliation_strings":["Qilu Hospital of Shandong University, Jinan, China"],"raw_orcid":"https://orcid.org/0000-0002-9783-169X","affiliations":[{"raw_affiliation_string":"Qilu Hospital of Shandong University, Jinan, China","institution_ids":["https://openalex.org/I4210161528"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101414718","display_name":"Lizhen Cui","orcid":"https://orcid.org/0000-0002-8262-8883"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Lizhen Cui","raw_affiliation_strings":["School of software, Jinan, China"],"raw_orcid":"https://orcid.org/0000-0002-8262-8883","affiliations":[{"raw_affiliation_string":"School of software, Jinan, China","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100382077","display_name":"Chunyan Miao","orcid":"https://orcid.org/0000-0002-0300-3448"},"institutions":[{"id":"https://openalex.org/I172675005","display_name":"Nanyang Technological University","ror":"https://ror.org/02e7b5302","country_code":"SG","type":"education","lineage":["https://openalex.org/I172675005"]}],"countries":["SG"],"is_corresponding":false,"raw_author_name":"Chunyan Miao","raw_affiliation_strings":["Joint NTU-UBC Research Centre of Excellence in Active Living for the Elderly (LILY), Nanyang Technological University, Singapore, Singapore"],"raw_orcid":"https://orcid.org/0000-0002-0300-3448","affiliations":[{"raw_affiliation_string":"Joint NTU-UBC Research Centre of Excellence in Active Living for the Elderly (LILY), Nanyang Technological University, Singapore, Singapore","institution_ids":["https://openalex.org/I172675005"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10028","display_name":"Topic Modeling","score":0.9941999912261963,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10028","display_name":"Topic Modeling","score":0.9941999912261963,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11710","display_name":"Biomedical Text Mining and Ontologies","score":0.9940000176429749,"subfield":{"id":"https://openalex.org/subfields/1312","display_name":"Molecular Biology"},"field":{"id":"https://openalex.org/fields/13","display_name":"Biochemistry, Genetics and Molecular Biology"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},{"id":"https://openalex.org/T13643","display_name":"Artificial Intelligence in Law","score":0.9559999704360962,"subfield":{"id":"https://openalex.org/subfields/3320","display_name":"Political Science and International Relations"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/reinforcement-learning","display_name":"Reinforcement learning","score":0.6805579662322998},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5917923450469971},{"id":"https://openalex.org/keywords/human\u2013computer-interaction","display_name":"Human\u2013computer interaction","score":0.4109210968017578},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.36055195331573486}],"concepts":[{"id":"https://openalex.org/C97541855","wikidata":"https://www.wikidata.org/wiki/Q830687","display_name":"Reinforcement learning","level":2,"score":0.6805579662322998},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5917923450469971},{"id":"https://openalex.org/C107457646","wikidata":"https://www.wikidata.org/wiki/Q207434","display_name":"Human\u2013computer interaction","level":1,"score":0.4109210968017578},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.36055195331573486}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1145/3706599.3719852","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3706599.3719852","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Extended Abstracts of the CHI Conference on Human Factors in Computing Systems","raw_type":"proceedings-article"},{"id":"pmh:oai:dr.ntu.edu.sg:10356/205135","is_oa":false,"landing_page_url":"https://hdl.handle.net/10356/205135","pdf_url":null,"source":{"id":"https://openalex.org/S4306402609","display_name":"DR-NTU (Nanyang Technological University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I172675005","host_organization_name":"Nanyang Technological University","host_organization_lineage":["https://openalex.org/I172675005"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Conference Paper"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":12,"referenced_works":["https://openalex.org/W2918341242","https://openalex.org/W2970837303","https://openalex.org/W4280615754","https://openalex.org/W4285293648","https://openalex.org/W4312190897","https://openalex.org/W4313476346","https://openalex.org/W4318616691","https://openalex.org/W4322757547","https://openalex.org/W4323651244","https://openalex.org/W4365511237","https://openalex.org/W4372047097","https://openalex.org/W4382678522"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2899084033","https://openalex.org/W2748952813","https://openalex.org/W2390279801","https://openalex.org/W4306904969","https://openalex.org/W4391913857","https://openalex.org/W2358668433","https://openalex.org/W4396701345","https://openalex.org/W2138720691","https://openalex.org/W2376932109"],"abstract_inverted_index":{"The":[0,17,130],"large":[1],"language":[2],"models":[3,7,21],"(LLMs)":[4],"and":[5,74,146],"vision":[6],"have":[8],"demonstrated":[9],"great":[10],"potential":[11],"in":[12,28,47,137],"the":[13,39,64,70,85,90,97,104,115,124,127],"field":[14],"of":[15,19,72,99,126],"healthcare.":[16],"integration":[18],"vision-language":[20,59],"(VLMs)":[22],"has":[23],"led":[24],"to":[25,82,93,122,142],"significant":[26],"advancements":[27],"automatic":[29],"medical":[30],"report":[31,40,65,144],"generation.":[32],"However,":[33],"effectively":[34],"incorporating":[35],"doctor":[36,94,101,111],"feedback":[37,71,102],"into":[38,103],"generation":[41,66,105],"process":[42,67],"remains":[43],"an":[44,55,120],"unresolved":[45],"challenge":[46,98],"clinical":[48,140,147],"practice.":[49],"In":[50],"this":[51],"paper,":[52],"we":[53,113],"propose":[54],"adaptive":[56],"human-LLMs":[57],"collaborative":[58],"model":[60,131],"that":[61],"dynamically":[62,83],"adjusts":[63],"based":[68],"on":[69,110],"doctors":[73,141],"LLMs.":[75],"We":[76],"designed":[77],"a":[78,133],"reinforcement":[79],"learning":[80],"module":[81],"update":[84],"generated":[86,88,128],"content":[87],"by":[89],"VLMs":[91],"according":[92],"feedback,":[95,112],"addressing":[96],"integrating":[100],"model.":[106],"To":[107],"mitigate":[108],"over-reliance":[109],"introduced":[114],"RL-LLM":[116],"module,":[117],"which":[118],"uses":[119],"LLM":[121],"assess":[123],"quality":[125],"report.":[129],"adopts":[132],"participatory":[134],"design":[135],"approach":[136],"collaboration":[138],"with":[139],"improve":[143],"accuracy":[145],"availability.":[148]},"counts_by_year":[{"year":2026,"cited_by_count":2}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}