{"id":"https://openalex.org/W7160110807","doi":"https://doi.org/10.48550/arxiv.2605.00336","title":"Budget-Aware Routing for Long Clinical Text","display_name":"Budget-Aware Routing for Long Clinical Text","publication_year":2026,"publication_date":"2026-05-01","ids":{"openalex":"https://openalex.org/W7160110807","doi":"https://doi.org/10.48550/arxiv.2605.00336"},"language":null,"primary_location":{"id":"doi:10.48550/arxiv.2605.00336","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2605.00336","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.2605.00336","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5103262696","display_name":"Khizar Qureshi","orcid":"https://orcid.org/0000-0001-9839-0446"},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Qureshi, Khizar","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5135114300","display_name":"Geoffrey Martin","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Martin, Geoffrey","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5135184162","display_name":"Yifan Peng","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Peng, Yifan","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5103262696"],"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":0.4392000138759613,"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":0.4392000138759613,"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/T10181","display_name":"Natural Language Processing Techniques","score":0.18639999628067017,"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":0.1429000049829483,"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/security-token","display_name":"Security token","score":0.7197999954223633},{"id":"https://openalex.org/keywords/heuristics","display_name":"Heuristics","score":0.5343999862670898},{"id":"https://openalex.org/keywords/latency","display_name":"Latency (audio)","score":0.5242000222206116},{"id":"https://openalex.org/keywords/selection","display_name":"Selection (genetic algorithm)","score":0.5146999955177307},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.5085999965667725},{"id":"https://openalex.org/keywords/generator","display_name":"Generator (circuit theory)","score":0.47699999809265137},{"id":"https://openalex.org/keywords/key","display_name":"Key (lock)","score":0.46480000019073486},{"id":"https://openalex.org/keywords/routing","display_name":"Routing (electronic design automation)","score":0.42719998955726624},{"id":"https://openalex.org/keywords/submodular-set-function","display_name":"Submodular set function","score":0.4097999930381775}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7712000012397766},{"id":"https://openalex.org/C48145219","wikidata":"https://www.wikidata.org/wiki/Q1335365","display_name":"Security token","level":2,"score":0.7197999954223633},{"id":"https://openalex.org/C127705205","wikidata":"https://www.wikidata.org/wiki/Q5748245","display_name":"Heuristics","level":2,"score":0.5343999862670898},{"id":"https://openalex.org/C82876162","wikidata":"https://www.wikidata.org/wiki/Q17096504","display_name":"Latency (audio)","level":2,"score":0.5242000222206116},{"id":"https://openalex.org/C81917197","wikidata":"https://www.wikidata.org/wiki/Q628760","display_name":"Selection (genetic algorithm)","level":2,"score":0.5146999955177307},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.5085999965667725},{"id":"https://openalex.org/C2780992000","wikidata":"https://www.wikidata.org/wiki/Q17016113","display_name":"Generator (circuit theory)","level":3,"score":0.47699999809265137},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.46480000019073486},{"id":"https://openalex.org/C74172769","wikidata":"https://www.wikidata.org/wiki/Q1446839","display_name":"Routing (electronic design automation)","level":2,"score":0.42719998955726624},{"id":"https://openalex.org/C178621042","wikidata":"https://www.wikidata.org/wiki/Q7631710","display_name":"Submodular set function","level":2,"score":0.4097999930381775},{"id":"https://openalex.org/C105339364","wikidata":"https://www.wikidata.org/wiki/Q2297740","display_name":"Software deployment","level":2,"score":0.3813000023365021},{"id":"https://openalex.org/C2834757","wikidata":"https://www.wikidata.org/wiki/Q4925424","display_name":"Monotone polygon","level":2,"score":0.36160001158714294},{"id":"https://openalex.org/C173801870","wikidata":"https://www.wikidata.org/wiki/Q201413","display_name":"Heuristic","level":2,"score":0.35690000653266907},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.349700003862381},{"id":"https://openalex.org/C2779530757","wikidata":"https://www.wikidata.org/wiki/Q1207505","display_name":"Quality (philosophy)","level":2,"score":0.3479999899864197},{"id":"https://openalex.org/C51823790","wikidata":"https://www.wikidata.org/wiki/Q504353","display_name":"Greedy algorithm","level":2,"score":0.3375000059604645},{"id":"https://openalex.org/C12590798","wikidata":"https://www.wikidata.org/wiki/Q3933199","display_name":"Replication (statistics)","level":2,"score":0.33309999108314514},{"id":"https://openalex.org/C2776207758","wikidata":"https://www.wikidata.org/wiki/Q5303302","display_name":"Downstream (manufacturing)","level":2,"score":0.32269999384880066},{"id":"https://openalex.org/C3770464","wikidata":"https://www.wikidata.org/wiki/Q775963","display_name":"Smoothing","level":2,"score":0.31189998984336853},{"id":"https://openalex.org/C2777655017","wikidata":"https://www.wikidata.org/wiki/Q1501161","display_name":"Toolbox","level":2,"score":0.3095000088214874},{"id":"https://openalex.org/C2781003394","wikidata":"https://www.wikidata.org/wiki/Q737372","display_name":"Alphanumeric","level":2,"score":0.3061999976634979},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.30300000309944153},{"id":"https://openalex.org/C137293760","wikidata":"https://www.wikidata.org/wiki/Q3621696","display_name":"Language model","level":2,"score":0.29159998893737793},{"id":"https://openalex.org/C2780513914","wikidata":"https://www.wikidata.org/wiki/Q18210350","display_name":"Bottleneck","level":2,"score":0.2881999909877777},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.28290000557899475},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.2777000069618225},{"id":"https://openalex.org/C206729178","wikidata":"https://www.wikidata.org/wiki/Q2271896","display_name":"Scheduling (production processes)","level":2,"score":0.2720000147819519},{"id":"https://openalex.org/C117251300","wikidata":"https://www.wikidata.org/wiki/Q1849855","display_name":"Parametric statistics","level":2,"score":0.2646999955177307},{"id":"https://openalex.org/C120314980","wikidata":"https://www.wikidata.org/wiki/Q180634","display_name":"Distributed computing","level":1,"score":0.26249998807907104},{"id":"https://openalex.org/C104954878","wikidata":"https://www.wikidata.org/wiki/Q1648707","display_name":"Routing protocol","level":3,"score":0.25870001316070557},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.2524000108242035}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.48550/arxiv.2605.00336","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2605.00336","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.2605.00336","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2605.00336","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":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"A":[0],"key":[1],"challenge":[2],"for":[3,174],"large":[4],"language":[5],"models":[6],"is":[7,43],"token":[8,48],"cost":[9,57],"per":[10],"query":[11],"and":[12,21,29,58,79,98,105,108,126,167],"overall":[13],"deployment":[14],"cost.":[15],"Clinical":[16],"inputs":[17],"are":[18,27,85],"long,":[19],"heterogeneous,":[20],"often":[22],"redundant,":[23],"while":[24,147,177],"downstream":[25],"tasks":[26],"short":[28],"high":[30],"stakes.":[31],"We":[32,61,87,100,183],"study":[33],"budgeted":[34],"context":[35],"selection,":[36],"where":[37],"a":[38,46,65,90,110],"subset":[39,67],"of":[40],"document":[41,77],"units":[42,84],"chosen":[44],"under":[45],"strict":[47],"budget":[49,117],"so":[50],"an":[51],"off-the-shelf":[52],"generator":[53],"can":[54],"meet":[55],"fixed":[56],"latency":[59],"constraints.":[60],"cast":[62],"this":[63],"as":[64,151],"knapsack-constrained":[66],"selection":[68,80],"problem":[69],"with":[70,162],"two":[71],"design":[72],"choices,":[73],"unitization":[74],"that":[75,81,94,113,129],"defines":[76],"segmentation":[78],"determines":[82],"which":[83],"kept.":[86],"propose":[88],"\\textbf{RCD},":[89],"monotone":[91],"submodular":[92],"objective":[93],"balances":[95],"relevance,":[96],"coverage,":[97],"diversity.":[99],"compare":[101],"sentence,":[102],"section,":[103],"window,":[104],"cluster-based":[106,163],"unitization,":[107,161],"introduce":[109],"routing":[111],"heuristic":[112],"adapts":[114],"to":[115],"the":[116,134],"regime.":[118],"Experiments":[119],"on":[120,133],"MIMIC":[121],"discharge":[122],"notes,":[123],"Cochrane":[124],"abstracts,":[125],"L-Eval":[127],"show":[128],"optimal":[130],"strategies":[131],"depend":[132],"evaluation":[135],"setting.":[136],"Positional":[137],"heuristics":[138],"perform":[139],"best":[140],"at":[141,187],"low":[142],"budgets":[143],"in":[144],"extractive":[145],"tasks,":[146],"diversity-aware":[148],"methods":[149],"such":[150],"MMR":[152],"improve":[153],"LLM":[154,175],"generation.":[155],"Selector":[156],"choice":[157],"matters":[158],"more":[159],"than":[160],"grouping":[164],"reducing":[165],"performance":[166],"other":[168],"schemes":[169],"behaving":[170],"similarly.":[171],"ROUGE":[172],"saturates":[173],"summaries,":[176],"BERTScore":[178],"better":[179],"reflects":[180],"quality":[181],"differences.":[182],"release":[184],"our":[185],"code":[186],"https://github.com/stone-technologies/ACL_budget_paper.":[188]},"counts_by_year":[],"updated_date":"2026-05-05T06:12:25.323381","created_date":"2026-05-05T00:00:00"}