{"id":"https://openalex.org/W7158905882","doi":"https://doi.org/10.48550/arxiv.2604.26048","title":"BioGraphletQA: Knowledge-Anchored Generation of Complex QA Datasets","display_name":"BioGraphletQA: Knowledge-Anchored Generation of Complex QA Datasets","publication_year":2026,"publication_date":"2026-04-28","ids":{"openalex":"https://openalex.org/W7158905882","doi":"https://doi.org/10.48550/arxiv.2604.26048"},"language":null,"primary_location":{"id":"doi:10.48550/arxiv.2604.26048","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2604.26048","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.2604.26048","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/A5130363814","display_name":"B\u00e1rbara Maria Ribeiro de Abreu Martins","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Martins, B\u00e1rbara Maria Ribeiro de Abreu","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/T11710","display_name":"Biomedical Text Mining and Ontologies","score":0.506600022315979,"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":0.506600022315979,"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":0.2425999939441681,"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/T11273","display_name":"Advanced Graph Neural Networks","score":0.11339999735355377,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/scalability","display_name":"Scalability","score":0.5774999856948853},{"id":"https://openalex.org/keywords/domain","display_name":"Domain (mathematical analysis)","score":0.40459999442100525},{"id":"https://openalex.org/keywords/quality","display_name":"Quality (philosophy)","score":0.38600000739097595},{"id":"https://openalex.org/keywords/baseline","display_name":"Baseline (sea)","score":0.384799987077713},{"id":"https://openalex.org/keywords/data-quality","display_name":"Data quality","score":0.3531000018119812},{"id":"https://openalex.org/keywords/source-code","display_name":"Source code","score":0.35010001063346863}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7700999975204468},{"id":"https://openalex.org/C48044578","wikidata":"https://www.wikidata.org/wiki/Q727490","display_name":"Scalability","level":2,"score":0.5774999856948853},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.40459999442100525},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.40070000290870667},{"id":"https://openalex.org/C2779530757","wikidata":"https://www.wikidata.org/wiki/Q1207505","display_name":"Quality (philosophy)","level":2,"score":0.38600000739097595},{"id":"https://openalex.org/C12725497","wikidata":"https://www.wikidata.org/wiki/Q810247","display_name":"Baseline (sea)","level":2,"score":0.384799987077713},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.38269999623298645},{"id":"https://openalex.org/C24756922","wikidata":"https://www.wikidata.org/wiki/Q1757694","display_name":"Data quality","level":3,"score":0.3531000018119812},{"id":"https://openalex.org/C43126263","wikidata":"https://www.wikidata.org/wiki/Q128751","display_name":"Source code","level":2,"score":0.35010001063346863},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.34790000319480896},{"id":"https://openalex.org/C2164484","wikidata":"https://www.wikidata.org/wiki/Q5170150","display_name":"Core (optical fiber)","level":2,"score":0.3147999942302704},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.3059999942779541},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.28610000014305115},{"id":"https://openalex.org/C174348530","wikidata":"https://www.wikidata.org/wiki/Q188635","display_name":"Bridging (networking)","level":2,"score":0.2727999985218048},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.2619999945163727},{"id":"https://openalex.org/C2776207758","wikidata":"https://www.wikidata.org/wiki/Q5303302","display_name":"Downstream (manufacturing)","level":2,"score":0.2605000138282776},{"id":"https://openalex.org/C2776760102","wikidata":"https://www.wikidata.org/wiki/Q5139990","display_name":"Code (set theory)","level":3,"score":0.25270000100135803},{"id":"https://openalex.org/C2987255567","wikidata":"https://www.wikidata.org/wiki/Q33002955","display_name":"Knowledge graph","level":2,"score":0.2515999972820282}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.48550/arxiv.2604.26048","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2604.26048","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.2604.26048","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2604.26048","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":[],"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],"a":[3,23,31,38,65,79,117,159,166,172,178],"principled":[4],"and":[5,45,110,129,162,180,194,205,216],"scalable":[6],"framework":[7,21,62,176,206],"for":[8,183],"systematically":[9],"generating":[10],"complex":[11,189],"Question":[12],"Answering":[13],"(QA)":[14],"data.":[15,134],"In":[16],"the":[17,43,47,87,93,107,111,125,132,202],"core":[18],"of":[19,50,60,70,81,92,131],"this":[20,61,199],"is":[22,63,76],"graphlet-anchored":[24],"generation":[25],"process,":[26],"where":[27],"small":[28],"subgraphs":[29],"from":[30,86,101,154,165],"Knowledge":[32],"Graph":[33],"(KG)":[34],"are":[35,209],"used":[36],"in":[37,78,158,171],"structured":[39],"prompt":[40],"to":[41,83,156,169,187,212],"control":[42],"complexity":[44,130],"ensure":[46],"factual":[48],"grounding":[49],"questions":[51],"generated":[52,133],"by":[53,105,116,141],"Large":[54],"Language":[55],"Models.":[56],"The":[57],"first":[58],"instantiation":[59],"BioGraphletQA,":[64],"new":[66],"biomedical":[67],"KGQA":[68],"dataset":[69,203],"119,856":[71],"QA":[72,122,190],"pairs.":[73],"Each":[74],"entry":[75],"grounded":[77],"graphlet":[80],"up":[82],"five":[84],"nodes":[85],"OREGANO":[88],"KG,":[89],"with":[90,97,147],"most":[91],"pairs":[94],"being":[95],"enriched":[96],"relevant":[98],"document":[99],"snippets":[100],"PubMed.":[102],"We":[103],"start":[104],"demonstrating":[106],"framework's":[108],"value":[109],"dataset's":[112],"quality":[113],"through":[114],"evaluation":[115],"domain":[118],"expert":[119],"on":[120,152,163],"106":[121],"pairs,":[123],"confirming":[124],"high":[126],"scientific":[127],"validity":[128],"Secondly,":[135],"we":[136],"establish":[137],"its":[138],"practical":[139],"utility":[140],"showing":[142],"that":[143],"augmenting":[144],"downstream":[145],"benchmarks":[146],"our":[148],"data":[149],"improves":[150],"accuracy":[151],"PubMedQA":[153],"49.2%":[155],"68.5%":[157],"low-resource":[160],"setting,":[161],"MedQA":[164],"41.4%":[167],"baseline":[168],"44.8%":[170],"full-resource":[173],"setting.":[174],"Our":[175],"provides":[177],"robust":[179],"generalizable":[181],"solution":[182],"creating":[184],"critical":[185],"resources":[186,197],"advance":[188],"tasks,":[191],"including":[192,201],"MCQA":[193],"KGQA.":[195],"All":[196],"supporting":[198],"work,":[200],"(https://zenodo.org/records/17381119)":[204],"code":[207],"(https://github.com/ieeta-pt/BioGraphletQA),":[208],"publicly":[210],"available":[211],"facilitate":[213],"use,":[214],"reproducibility":[215],"extension.":[217]},"counts_by_year":[],"updated_date":"2026-07-01T06:00:48.157686","created_date":"2026-05-01T00:00:00"}
