{"id":"https://openalex.org/W7158601761","doi":"https://doi.org/10.48550/arxiv.2604.26880","title":"HealthNLP_Retrievers at ArchEHR-QA 2026: Cascaded LLM Pipeline for Grounded Clinical Question Answering","display_name":"HealthNLP_Retrievers at ArchEHR-QA 2026: Cascaded LLM Pipeline for Grounded Clinical Question Answering","publication_year":2026,"publication_date":"2026-04-29","ids":{"openalex":"https://openalex.org/W7158601761","doi":"https://doi.org/10.48550/arxiv.2604.26880"},"language":null,"primary_location":{"id":"doi:10.48550/arxiv.2604.26880","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2604.26880","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":false,"raw_source_name":null,"raw_type":"article"},"type":"preprint","indexed_in":["datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://doi.org/10.48550/arxiv.2604.26880","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5134916226","display_name":"Md Biplob Hosen","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Hosen, Md Biplob","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5134880757","display_name":"Md Alomgeer Hussein","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Hussein, Md Alomgeer","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5134910012","display_name":"Md Akmol Masud","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Masud, Md Akmol","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5042246074","display_name":"Omar Faruque","orcid":"https://orcid.org/0000-0001-7416-580X"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Faruque, Omar","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5045579627","display_name":"Tera L Reynolds","orcid":"https://orcid.org/0000-0001-7536-5504"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Reynolds, Tera L","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5053727798","display_name":"Lujie Chen","orcid":"https://orcid.org/0000-0002-7185-8405"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Chen, Lujie Karen","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":6,"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":0.9075999855995178,"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":0.9075999855995178,"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":0.022600000724196434,"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":0.009100000374019146,"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/pipeline","display_name":"Pipeline (software)","score":0.8238000273704529},{"id":"https://openalex.org/keywords/question-answering","display_name":"Question answering","score":0.4925000071525574},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.4668000042438507},{"id":"https://openalex.org/keywords/quality","display_name":"Quality (philosophy)","score":0.4424999952316284},{"id":"https://openalex.org/keywords/generator","display_name":"Generator (circuit theory)","score":0.39559999108314514},{"id":"https://openalex.org/keywords/grounded-theory","display_name":"Grounded theory","score":0.3928000032901764},{"id":"https://openalex.org/keywords/code","display_name":"Code (set theory)","score":0.3668999969959259},{"id":"https://openalex.org/keywords/knowledge-base","display_name":"Knowledge base","score":0.34689998626708984}],"concepts":[{"id":"https://openalex.org/C43521106","wikidata":"https://www.wikidata.org/wiki/Q2165493","display_name":"Pipeline (software)","level":2,"score":0.8238000273704529},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7666000127792358},{"id":"https://openalex.org/C44291984","wikidata":"https://www.wikidata.org/wiki/Q1074173","display_name":"Question answering","level":2,"score":0.4925000071525574},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.4668000042438507},{"id":"https://openalex.org/C2779530757","wikidata":"https://www.wikidata.org/wiki/Q1207505","display_name":"Quality (philosophy)","level":2,"score":0.4424999952316284},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.4147000014781952},{"id":"https://openalex.org/C2780992000","wikidata":"https://www.wikidata.org/wiki/Q17016113","display_name":"Generator (circuit theory)","level":3,"score":0.39559999108314514},{"id":"https://openalex.org/C156325361","wikidata":"https://www.wikidata.org/wiki/Q1152864","display_name":"Grounded theory","level":3,"score":0.3928000032901764},{"id":"https://openalex.org/C2776760102","wikidata":"https://www.wikidata.org/wiki/Q5139990","display_name":"Code (set theory)","level":3,"score":0.3668999969959259},{"id":"https://openalex.org/C4554734","wikidata":"https://www.wikidata.org/wiki/Q593744","display_name":"Knowledge base","level":2,"score":0.34689998626708984},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.3441999852657318},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.3359000086784363},{"id":"https://openalex.org/C43126263","wikidata":"https://www.wikidata.org/wiki/Q128751","display_name":"Source code","level":2,"score":0.32339999079704285},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.3125999867916107},{"id":"https://openalex.org/C67186912","wikidata":"https://www.wikidata.org/wiki/Q367664","display_name":"Data modeling","level":2,"score":0.3019999861717224},{"id":"https://openalex.org/C3020144179","wikidata":"https://www.wikidata.org/wiki/Q10871684","display_name":"Electronic health record","level":3,"score":0.2930000126361847},{"id":"https://openalex.org/C160735492","wikidata":"https://www.wikidata.org/wiki/Q31207","display_name":"Health care","level":2,"score":0.289900004863739},{"id":"https://openalex.org/C24756922","wikidata":"https://www.wikidata.org/wiki/Q1757694","display_name":"Data quality","level":3,"score":0.28769999742507935},{"id":"https://openalex.org/C137293760","wikidata":"https://www.wikidata.org/wiki/Q3621696","display_name":"Language model","level":2,"score":0.28630000352859497},{"id":"https://openalex.org/C115903868","wikidata":"https://www.wikidata.org/wiki/Q80993","display_name":"Software engineering","level":1,"score":0.2818000018596649},{"id":"https://openalex.org/C148027188","wikidata":"https://www.wikidata.org/wiki/Q907375","display_name":"Unit testing","level":3,"score":0.27950000762939453},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.2694000005722046},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.2644999921321869},{"id":"https://openalex.org/C180198813","wikidata":"https://www.wikidata.org/wiki/Q121182","display_name":"Information system","level":2,"score":0.2578999996185303},{"id":"https://openalex.org/C175154964","wikidata":"https://www.wikidata.org/wiki/Q380077","display_name":"Task analysis","level":3,"score":0.2506999969482422}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.48550/arxiv.2604.26880","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2604.26880","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":"article"}],"best_oa_location":{"id":"doi:10.48550/arxiv.2604.26880","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2604.26880","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":false,"raw_source_name":null,"raw_type":"article"},"sustainable_development_goals":[{"score":0.751042366027832,"display_name":"Quality Education","id":"https://metadata.un.org/sdg/4"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"Patient":[0],"portals":[1],"now":[2],"give":[3],"individuals":[4],"direct":[5],"access":[6,14],"to":[7,79,117,131,145],"their":[8],"electronic":[9],"health":[10,201],"records":[11],"(EHRs),":[12],"yet":[13],"alone":[15],"does":[16],"not":[17],"ensure":[18],"patients":[19],"understand":[20],"or":[21],"act":[22],"on":[23,42],"the":[24,52,56,72,156,159,196],"complex":[25],"clinical":[26,89,115,147],"information":[27],"contained":[28],"in":[29,163,167,171,176,212],"these":[30],"records.":[31],"The":[32,62],"ArchEHR-QA":[33],"2026":[34],"shared":[35],"task":[36],"addresses":[37],"this":[38,49,60],"challenge":[39],"by":[40,55,71],"focusing":[41],"grounded":[43,122],"question":[44,164],"answering":[45],"over":[46],"EHRs,":[47],"and":[48,83,134,174,195],"paper":[50],"presents":[51],"system":[53,160],"developed":[54],"HealthNLP_Retrievers":[57],"team":[58],"for":[59],"task.":[61],"proposed":[63],"approach":[64,151],"uses":[65],"a":[66,98,109,121,136,188],"multi-stage":[67,190],"cascaded":[68,150],"pipeline":[69,191],"powered":[70],"Gemini":[73],"2.5":[74],"Pro":[75],"large":[76,184],"language":[77,185],"model":[78],"interpret":[80],"patient-authored":[81],"questions":[82],"retrieve":[84],"relevant":[85],"evidence":[86,111,172],"from":[87],"lengthy":[88],"notes.":[90],"Our":[91],"architecture":[92],"comprises":[93],"four":[94],"integrated":[95],"modules:":[96],"(1)":[97],"few-shot":[99],"query":[100],"reformulation":[101],"unit":[102],"which":[103,113,125,141],"summarizes":[104],"verbose":[105],"patient":[106],"queries;":[107],"(2)":[108],"heuristic-based":[110],"scorer":[112],"ranks":[114],"sentences":[116],"prioritize":[118],"recall;":[119],"(3)":[120],"response":[123],"generator":[124],"synthesizes":[126],"professional-caliber":[127],"answers":[128,144],"restricted":[129],"strictly":[130],"identified":[132],"evidence;":[133],"(4)":[135],"high-precision":[137],"many-to-many":[138],"alignment":[139],"framework":[140],"links":[142],"generated":[143],"supporting":[146],"sentences.":[148],"This":[149],"achieved":[152],"competitive":[153],"results.":[154],"Across":[155],"individual":[157],"tracks,":[158],"ranked":[161],"1st":[162],"interpretation,":[165],"5th":[166],"answer":[168],"generation,":[169],"7th":[170],"identification,":[173],"9th":[175],"answer-evidence":[177],"alignment.":[178],"These":[179],"results":[180],"show":[181],"that":[182],"integrating":[183],"models":[186],"within":[187],"structured":[189],"improves":[192],"grounding,":[193],"precision,":[194],"professional":[197],"quality":[198],"of":[199],"patient-oriented":[200],"communication.":[202],"To":[203],"support":[204],"reproducibility,":[205],"our":[206,213],"source":[207],"code":[208],"is":[209],"publicly":[210],"available":[211],"GitHub":[214],"repository":[215]},"counts_by_year":[],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2026-05-01T00:00:00"}
