{"id":"https://openalex.org/W7160380780","doi":"https://doi.org/10.48550/arxiv.2605.03618","title":"BIT.UA-AAUBS at ArchEHR-QA 2026: Evaluating Open-Source and Proprietary LLMs via Prompting in Low-Resource QA","display_name":"BIT.UA-AAUBS at ArchEHR-QA 2026: Evaluating Open-Source and Proprietary LLMs via Prompting in Low-Resource QA","publication_year":2026,"publication_date":"2026-05-05","ids":{"openalex":"https://openalex.org/W7160380780","doi":"https://doi.org/10.48550/arxiv.2605.03618"},"language":null,"primary_location":{"id":"doi:10.48550/arxiv.2605.03618","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2605.03618","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":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Preprint"},"type":"preprint","indexed_in":["datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://doi.org/10.48550/arxiv.2605.03618","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5130410655","display_name":"Richard A. A. Jonker","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Jonker, Richard A. A.","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5053168700","display_name":"Alexander Christiansen","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Christiansen, Alexander","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5061505238","display_name":"Alexandros Maniatis","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Maniatis, Alexandros","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5135422100","display_name":"R\u00faben Garrido","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Garrido, R\u00faben","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5135484672","display_name":"Rog\u00e9rio Braunschweiger de Freitas Lima","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Lima, Rog\u00e9rio Braunschweiger de Freitas","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5011641675","display_name":"Roman Jurowetzki","orcid":"https://orcid.org/0000-0002-5199-918X"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Jurowetzki, Roman","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5134909811","display_name":"S\u00e9rgio Matos","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Matos, S\u00e9rgio","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":0,"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/T10028","display_name":"Topic Modeling","score":0.6661999821662903,"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":0.6661999821662903,"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/T13702","display_name":"Machine Learning in Healthcare","score":0.16619999706745148,"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/T11636","display_name":"Artificial Intelligence in Healthcare and Education","score":0.06480000168085098,"subfield":{"id":"https://openalex.org/subfields/2718","display_name":"Health Informatics"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.6704999804496765},{"id":"https://openalex.org/keywords/domain","display_name":"Domain (mathematical analysis)","score":0.5246000289916992},{"id":"https://openalex.org/keywords/key","display_name":"Key (lock)","score":0.4472000002861023},{"id":"https://openalex.org/keywords/voting","display_name":"Voting","score":0.4219000041484833},{"id":"https://openalex.org/keywords/task-analysis","display_name":"Task analysis","score":0.38850000500679016},{"id":"https://openalex.org/keywords/resilience","display_name":"Resilience (materials science)","score":0.36489999294281006},{"id":"https://openalex.org/keywords/language-model","display_name":"Language model","score":0.3352999985218048},{"id":"https://openalex.org/keywords/information-privacy","display_name":"Information privacy","score":0.3303999900817871}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7103000283241272},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.6704999804496765},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.5246000289916992},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.4472000002861023},{"id":"https://openalex.org/C520049643","wikidata":"https://www.wikidata.org/wiki/Q189760","display_name":"Voting","level":3,"score":0.4219000041484833},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.4027999937534332},{"id":"https://openalex.org/C175154964","wikidata":"https://www.wikidata.org/wiki/Q380077","display_name":"Task analysis","level":3,"score":0.38850000500679016},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.3686000108718872},{"id":"https://openalex.org/C2779585090","wikidata":"https://www.wikidata.org/wiki/Q3457762","display_name":"Resilience (materials science)","level":2,"score":0.36489999294281006},{"id":"https://openalex.org/C108827166","wikidata":"https://www.wikidata.org/wiki/Q175975","display_name":"Internet privacy","level":1,"score":0.35580000281333923},{"id":"https://openalex.org/C137293760","wikidata":"https://www.wikidata.org/wiki/Q3621696","display_name":"Language model","level":2,"score":0.3352999985218048},{"id":"https://openalex.org/C123201435","wikidata":"https://www.wikidata.org/wiki/Q456632","display_name":"Information privacy","level":2,"score":0.3303999900817871},{"id":"https://openalex.org/C18555067","wikidata":"https://www.wikidata.org/wiki/Q8375051","display_name":"Joint (building)","level":2,"score":0.32109999656677246},{"id":"https://openalex.org/C112930515","wikidata":"https://www.wikidata.org/wiki/Q4389547","display_name":"Risk analysis (engineering)","level":1,"score":0.301800012588501},{"id":"https://openalex.org/C2778805511","wikidata":"https://www.wikidata.org/wiki/Q1713","display_name":"Citation","level":2,"score":0.29840001463890076},{"id":"https://openalex.org/C71745522","wikidata":"https://www.wikidata.org/wiki/Q2476929","display_name":"Confidentiality","level":2,"score":0.2955999970436096},{"id":"https://openalex.org/C67186912","wikidata":"https://www.wikidata.org/wiki/Q367664","display_name":"Data modeling","level":2,"score":0.29170000553131104},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.2904999852180481},{"id":"https://openalex.org/C56739046","wikidata":"https://www.wikidata.org/wiki/Q192060","display_name":"Knowledge management","level":1,"score":0.29010000824928284},{"id":"https://openalex.org/C2776945810","wikidata":"https://www.wikidata.org/wiki/Q17006654","display_name":"Data anonymization","level":3,"score":0.2888000011444092},{"id":"https://openalex.org/C2779530757","wikidata":"https://www.wikidata.org/wiki/Q1207505","display_name":"Quality (philosophy)","level":2,"score":0.28110000491142273},{"id":"https://openalex.org/C160735492","wikidata":"https://www.wikidata.org/wiki/Q31207","display_name":"Health care","level":2,"score":0.2549000084400177},{"id":"https://openalex.org/C51632099","wikidata":"https://www.wikidata.org/wiki/Q3985153","display_name":"Training set","level":2,"score":0.25220000743865967}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.48550/arxiv.2605.03618","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2605.03618","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":null,"license_id":null,"version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"Preprint"}],"best_oa_location":{"id":"doi:10.48550/arxiv.2605.03618","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2605.03618","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":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Preprint"},"sustainable_development_goals":[{"display_name":"Decent work and economic growth","id":"https://metadata.un.org/sdg/8","score":0.6035296320915222}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"This":[0],"paper":[1],"presents":[2],"the":[3,7,13,33,39,46,53,127],"joint":[4],"participation":[5],"of":[6,35,55],"BIT.UA":[8],"and":[9,24,38,69,83,91,146,158],"AAUBS":[10],"groups":[11],"in":[12,27,140,149],"ArchEHR-QA":[14],"2026":[15],"shared":[16],"task,":[17],"which":[18],"focuses":[19],"on":[20,162],"clinical":[21],"question":[22],"answering":[23],"evidence":[25],"grounding":[26],"a":[28],"low-resource":[29],"setting.":[30],"Due":[31],"to":[32,45,95,109],"absence":[34],"training":[36],"data":[37,41],"strict":[40],"privacy":[42],"constraints":[43],"inherent":[44],"healthcare":[47],"domain":[48],"(e.g.":[49],"GDPR),":[50],"we":[51,87],"investigate":[52],"capabilities":[54],"Large":[56],"Language":[57],"Models":[58],"(LLMs)":[59],"without":[60],"weight":[61],"updates.":[62],"We":[63],"evaluate":[64],"several":[65],"state-of-the-art":[66],"proprietary":[67,104],"models":[68,105,114],"locally":[70],"deployable":[71],"open-source":[72,113],"alternatives":[73],"using":[74],"various":[75],"prompt":[76,110],"engineering":[77],"strategies,":[78],"including":[79],"task":[80],"decomposition,":[81],"Chain-of-Thought,":[82],"in-context":[84],"learning.":[85],"Furthermore,":[86],"explore":[88],"majority":[89],"voting":[90],"LLM-as-a-judge":[92],"ensembling":[93],"techniques":[94],"maximize":[96],"predictive":[97],"robustness.":[98],"Our":[99],"results":[100],"demonstrate":[101],"that":[102],"while":[103],"exhibit":[106],"strong":[107],"resilience":[108],"variations,":[111],"domain-adapted":[112],"(such":[115],"as":[116],"MedGemma":[117],"3":[118,151],"27B)":[119],"achieve":[120],"highly":[121,135],"competitive":[122],"performance":[123],"when":[124],"paired":[125],"with":[126],"right":[128],"prompt.":[129],"Overall,":[130],"our":[131,163],"prompt-based":[132],"approach":[133],"proved":[134],"effective,":[136],"securing":[137],"1st":[138],"place":[139,148],"Subtask":[141,150],"4":[142],"(evidence":[143],"citation":[144],"alignment)":[145],"3rd":[147],"(patient-friendly":[152],"answer":[153],"generation).":[154],"All":[155],"code,":[156],"results,":[157],"prompts":[159],"are":[160],"available":[161],"GitHub":[164],"repository:":[165],"https://github.com/bioinformatics-ua/ArchEHR-QA-2026.":[166]},"counts_by_year":[],"updated_date":"2026-07-01T06:00:48.157686","created_date":"2026-05-07T00:00:00"}
