{"id":"https://openalex.org/W4407213770","doi":"https://doi.org/10.48550/arxiv.2502.03004","title":"MedBioLM: Optimizing Medical and Biological QA with Fine-Tuned Large Language Models and Retrieval-Augmented Generation","display_name":"MedBioLM: Optimizing Medical and Biological QA with Fine-Tuned Large Language Models and Retrieval-Augmented Generation","publication_year":2025,"publication_date":"2025-02-05","ids":{"openalex":"https://openalex.org/W4407213770","doi":"https://doi.org/10.48550/arxiv.2502.03004"},"language":"en","primary_location":{"id":"pmh:oai:arXiv.org:2502.03004","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2502.03004","pdf_url":"https://arxiv.org/pdf/2502.03004","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},"type":"preprint","indexed_in":["arxiv","datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/2502.03004","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5010796867","display_name":"Seon\u2010Ok Kim","orcid":"https://orcid.org/0000-0001-9010-5460"},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Kim, Seonok","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":["https://openalex.org/A5010796867"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":true,"cited_by_count":5,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11710","display_name":"Biomedical Text Mining and Ontologies","score":0.9830999970436096,"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"}},"topics":[{"id":"https://openalex.org/T11710","display_name":"Biomedical Text Mining and Ontologies","score":0.9830999970436096,"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/T10028","display_name":"Topic Modeling","score":0.9778000116348267,"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/T12254","display_name":"Machine Learning in Bioinformatics","score":0.9344000220298767,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5917642116546631},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.4577459692955017},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.38317281007766724},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.33296650648117065}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5917642116546631},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.4577459692955017},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.38317281007766724},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.33296650648117065}],"mesh":[],"locations_count":2,"locations":[{"id":"pmh:oai:arXiv.org:2502.03004","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2502.03004","pdf_url":"https://arxiv.org/pdf/2502.03004","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},{"id":"doi:10.48550/arxiv.2502.03004","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2502.03004","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"Preprint"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:2502.03004","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2502.03004","pdf_url":"https://arxiv.org/pdf/2502.03004","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4407213770.pdf","grobid_xml":"https://content.openalex.org/works/W4407213770.grobid-xml"},"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2899084033","https://openalex.org/W2748952813","https://openalex.org/W2390279801","https://openalex.org/W4391913857","https://openalex.org/W2358668433","https://openalex.org/W4396701345","https://openalex.org/W2376932109","https://openalex.org/W2001405890","https://openalex.org/W3204019825"],"abstract_inverted_index":{"Large":[0],"Language":[1],"Models":[2],"(LLMs)":[3],"have":[4],"demonstrated":[5],"impressive":[6],"capabilities":[7],"across":[8],"natural":[9],"language":[10],"processing":[11],"tasks.":[12,90],"However,":[13],"their":[14],"application":[15],"to":[16,27,44],"specialized":[17],"domains":[18],"such":[19],"as":[20],"medicine":[21],"and":[22,32,48,54,66,86,117],"biology":[23],"requires":[24],"further":[25],"optimization":[26],"ensure":[28],"factual":[29,67,101],"accuracy,":[30],"reliability,":[31],"contextual":[33],"depth.":[34],"We":[35],"introduce":[36],"MedBioLM,":[37],"a":[38],"domain-adapted":[39],"biomedical":[40,79,113],"question-answering":[41],"model":[42,76],"designed":[43],"enhance":[45],"both":[46],"short-form":[47],"long-form":[49],"queries.":[50],"By":[51],"integrating":[52],"fine-tuning":[53],"retrieval-augmented":[55],"generation":[56],"(RAG),":[57],"MedBioLM":[58],"dynamically":[59],"incorporates":[60],"domain-specific":[61],"knowledge,":[62],"improving":[63],"reasoning":[64,89],"abilities":[65],"accuracy.":[68],"To":[69],"evaluate":[70],"its":[71],"effectiveness,":[72],"we":[73],"fine-tuned":[74],"the":[75,106],"on":[77,95],"diverse":[78],"QA":[80],"datasets,":[81,97],"covering":[82],"structured":[83],"multiple-choice":[84],"assessments":[85],"complex":[87],"clinical":[88,118],"Fine-tuning":[91],"significantly":[92],"improves":[93],"accuracy":[94],"benchmark":[96],"while":[98],"RAG":[99],"enhances":[100],"consistency.":[102],"These":[103],"results":[104],"highlight":[105],"potential":[107],"of":[108],"domain-optimized":[109],"LLMs":[110],"in":[111],"advancing":[112],"research,":[114],"medical":[115],"education,":[116],"decision":[119],"support.":[120]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":3}],"updated_date":"2026-07-01T06:00:48.157686","created_date":"2025-10-10T00:00:00"}