{"id":"https://openalex.org/W7162450576","doi":"https://doi.org/10.1145/3788853.3801580","title":"C <scp>hronos</scp> BI: Supercharging LLM-Powered Business Intelligence Pipelines with Semantic Caching and Cost Planning","display_name":"C <scp>hronos</scp> BI: Supercharging LLM-Powered Business Intelligence Pipelines with Semantic Caching and Cost Planning","publication_year":2026,"publication_date":"2026-05-26","ids":{"openalex":"https://openalex.org/W7162450576","doi":"https://doi.org/10.1145/3788853.3801580"},"language":null,"primary_location":{"id":"doi:10.1145/3788853.3801580","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3788853.3801580","pdf_url":null,"source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Companion of the International Conference on Management of Data","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://doi.org/10.1145/3788853.3801580","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5137067412","display_name":"Jianfeng Zhang","orcid":"https://orcid.org/0009-0008-4000-4272"},"institutions":[{"id":"https://openalex.org/I76130692","display_name":"Zhejiang University","ror":"https://ror.org/00a2xv884","country_code":"CN","type":"education","lineage":["https://openalex.org/I76130692"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jianfeng Zhang","raw_affiliation_strings":["Zhejiang University, Hangzhou, China"],"raw_orcid":"https://orcid.org/0009-0008-4000-4272","affiliations":[{"raw_affiliation_string":"Zhejiang University, Hangzhou, China","institution_ids":["https://openalex.org/I76130692"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5108965069","display_name":"Lingxi Cui","orcid":null},"institutions":[{"id":"https://openalex.org/I76130692","display_name":"Zhejiang University","ror":"https://ror.org/00a2xv884","country_code":"CN","type":"education","lineage":["https://openalex.org/I76130692"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lingxi Cui","raw_affiliation_strings":["Zhejiang University, Hangzhou, China"],"raw_orcid":"https://orcid.org/0009-0002-6314-9104","affiliations":[{"raw_affiliation_string":"Zhejiang University, Hangzhou, China","institution_ids":["https://openalex.org/I76130692"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5133798291","display_name":"Y Xu","orcid":null},"institutions":[{"id":"https://openalex.org/I76130692","display_name":"Zhejiang University","ror":"https://ror.org/00a2xv884","country_code":"CN","type":"education","lineage":["https://openalex.org/I76130692"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yongqin Xu","raw_affiliation_strings":["Zhejiang University, Hangzhou, China"],"raw_orcid":"https://orcid.org/0009-0004-5722-0116","affiliations":[{"raw_affiliation_string":"Zhejiang University, Hangzhou, China","institution_ids":["https://openalex.org/I76130692"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5137013955","display_name":"Tong Wang","orcid":"https://orcid.org/0009-0003-2802-9999"},"institutions":[{"id":"https://openalex.org/I76130692","display_name":"Zhejiang University","ror":"https://ror.org/00a2xv884","country_code":"CN","type":"education","lineage":["https://openalex.org/I76130692"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Tong Wang","raw_affiliation_strings":["Zhejiang University, Hangzhou, China"],"raw_orcid":"https://orcid.org/0009-0003-2802-9999","affiliations":[{"raw_affiliation_string":"Zhejiang University, Hangzhou, China","institution_ids":["https://openalex.org/I76130692"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5137039002","display_name":"Yi Guo","orcid":"https://orcid.org/0009-0004-7283-6656"},"institutions":[{"id":"https://openalex.org/I862669128","display_name":"Xiaomi (China)","ror":"https://ror.org/029f7bn57","country_code":"CN","type":"company","lineage":["https://openalex.org/I862669128"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yi Guo","raw_affiliation_strings":["Xiaohongshu, Hangzhou, China"],"raw_orcid":"https://orcid.org/0009-0004-7283-6656","affiliations":[{"raw_affiliation_string":"Xiaohongshu, Hangzhou, China","institution_ids":["https://openalex.org/I862669128"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5137073587","display_name":"Zhouzhi Yang","orcid":"https://orcid.org/0009-0009-7855-2159"},"institutions":[{"id":"https://openalex.org/I862669128","display_name":"Xiaomi (China)","ror":"https://ror.org/029f7bn57","country_code":"CN","type":"company","lineage":["https://openalex.org/I862669128"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhouzhi Yang","raw_affiliation_strings":["Xiaohongshu, Hangzhou, China"],"raw_orcid":"https://orcid.org/0009-0009-7855-2159","affiliations":[{"raw_affiliation_string":"Xiaohongshu, Hangzhou, China","institution_ids":["https://openalex.org/I862669128"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5065859286","display_name":"Hui Li","orcid":"https://orcid.org/0000-0001-9198-3951"},"institutions":[{"id":"https://openalex.org/I76130692","display_name":"Zhejiang University","ror":"https://ror.org/00a2xv884","country_code":"CN","type":"education","lineage":["https://openalex.org/I76130692"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Huan Li","raw_affiliation_strings":["Zhejiang University, Hangzhou, China"],"raw_orcid":"https://orcid.org/0009-0001-7191-0998","affiliations":[{"raw_affiliation_string":"Zhejiang University, Hangzhou, China","institution_ids":["https://openalex.org/I76130692"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5137022843","display_name":"Ke Chen","orcid":"https://orcid.org/0000-0002-3062-0900"},"institutions":[{"id":"https://openalex.org/I76130692","display_name":"Zhejiang University","ror":"https://ror.org/00a2xv884","country_code":"CN","type":"education","lineage":["https://openalex.org/I76130692"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ke Chen","raw_affiliation_strings":["Zhejiang University, Hangzhou, China"],"raw_orcid":"https://orcid.org/0000-0002-3062-0900","affiliations":[{"raw_affiliation_string":"Zhejiang University, Hangzhou, China","institution_ids":["https://openalex.org/I76130692"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5137062848","display_name":"Lidan Shou","orcid":"https://orcid.org/0000-0001-8062-8356"},"institutions":[{"id":"https://openalex.org/I76130692","display_name":"Zhejiang University","ror":"https://ror.org/00a2xv884","country_code":"CN","type":"education","lineage":["https://openalex.org/I76130692"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lidan Shou","raw_affiliation_strings":["Zhejiang University, Hangzhou, China"],"raw_orcid":"https://orcid.org/0000-0001-8062-8356","affiliations":[{"raw_affiliation_string":"Zhejiang University, Hangzhou, China","institution_ids":["https://openalex.org/I76130692"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":9,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.84636157,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"146","last_page":"149"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10215","display_name":"Semantic Web and Ontologies","score":0.2190999984741211,"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/T10215","display_name":"Semantic Web and Ontologies","score":0.2190999984741211,"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/T10703","display_name":"Business Process Modeling and Analysis","score":0.12229999899864197,"subfield":{"id":"https://openalex.org/subfields/1404","display_name":"Management Information Systems"},"field":{"id":"https://openalex.org/fields/14","display_name":"Business, Management and Accounting"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T10317","display_name":"Advanced Database Systems and Queries","score":0.06859999895095825,"subfield":{"id":"https://openalex.org/subfields/1705","display_name":"Computer Networks and Communications"},"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/business-intelligence","display_name":"Business intelligence","score":0.42660000920295715},{"id":"https://openalex.org/keywords/pipeline-transport","display_name":"Pipeline transport","score":0.3774999976158142},{"id":"https://openalex.org/keywords/pipeline","display_name":"Pipeline (software)","score":0.3257000148296356},{"id":"https://openalex.org/keywords/key","display_name":"Key (lock)","score":0.28600001335144043},{"id":"https://openalex.org/keywords/term","display_name":"Term (time)","score":0.2685000002384186}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5975000262260437},{"id":"https://openalex.org/C2767350","wikidata":"https://www.wikidata.org/wiki/Q6662173","display_name":"Business intelligence","level":2,"score":0.42660000920295715},{"id":"https://openalex.org/C175309249","wikidata":"https://www.wikidata.org/wiki/Q725864","display_name":"Pipeline transport","level":2,"score":0.3774999976158142},{"id":"https://openalex.org/C43521106","wikidata":"https://www.wikidata.org/wiki/Q2165493","display_name":"Pipeline (software)","level":2,"score":0.3257000148296356},{"id":"https://openalex.org/C144133560","wikidata":"https://www.wikidata.org/wiki/Q4830453","display_name":"Business","level":0,"score":0.314300000667572},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.28600001335144043},{"id":"https://openalex.org/C42475967","wikidata":"https://www.wikidata.org/wiki/Q194292","display_name":"Operations research","level":1,"score":0.28529998660087585},{"id":"https://openalex.org/C61797465","wikidata":"https://www.wikidata.org/wiki/Q1188986","display_name":"Term (time)","level":2,"score":0.2685000002384186},{"id":"https://openalex.org/C2776505523","wikidata":"https://www.wikidata.org/wiki/Q4785468","display_name":"Plan (archaeology)","level":2,"score":0.2632000148296356},{"id":"https://openalex.org/C18465707","wikidata":"https://www.wikidata.org/wiki/Q5001797","display_name":"Business system planning","level":2,"score":0.2563999891281128}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3788853.3801580","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3788853.3801580","pdf_url":null,"source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Companion of the International Conference on Management of Data","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.1145/3788853.3801580","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3788853.3801580","pdf_url":null,"source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Companion of the International Conference on Management of Data","raw_type":"proceedings-article"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/9","display_name":"Industry, innovation and infrastructure","score":0.4121273458003998}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":1,"referenced_works":["https://openalex.org/W4414245142"],"related_works":[],"abstract_inverted_index":{"Modern":[0],"business":[1],"intelligence":[2],"(BI)":[3],"systems":[4],"increasingly":[5],"rely":[6],"on":[7],"large":[8],"language":[9,15,21],"models":[10],"(LLMs)":[11],"to":[12,134],"translate":[13],"natural":[14],"(NL)":[16],"queries":[17,80],"into":[18],"executable":[19],"domain-specific":[20],"(DSL)":[22],"programs.":[23],"However,":[24],"current":[25],"multi-stage":[26],"''long-chain''":[27],"LLM":[28],"pipelines":[29],"suffer":[30],"from":[31],"high":[32],"latency,":[33],"expensive":[34],"token":[35],"overhead,":[36],"and":[37,84,88],"error":[38],"propagation,":[39],"limiting":[40],"deployment":[41],"in":[42],"real":[43],"enterprise":[44],"environments.":[45],"We":[46],"present":[47],"ChronosBI,":[48],"an":[49],"end-to-end,":[50],"efficiency-driven":[51],"BI":[52,149],"system":[53],"that":[54,73,94],"showcases":[55],"a":[56,69,90,120,143],"new":[57],"execution":[58],"paradigm":[59],"for":[60,146],"LLM-powered":[61],"analytics.":[62],"ChronosBI":[63,118],"integrates":[64],"two":[65],"synergistic":[66],"modules:":[67],"(1)":[68],"smart":[70],"caching":[71,101],"engine":[72],"accelerates":[74],"repeated":[75],"or":[76],"structurally":[77],"similar":[78],"NL":[79],"via":[81],"skeleton-based":[82],"matching":[83],"few-shot":[85],"DSL":[86],"generation,":[87],"(2)":[89],"reinforcement-learning":[91],"cost":[92],"planner":[93],"dynamically":[95],"optimizes":[96],"the":[97],"long-chain":[98],"pipeline":[99],"(when":[100],"invalidates)":[102],"by":[103],"skipping":[104],"unnecessary":[105],"steps":[106],"while":[107,123],"maintaining":[108,124],"accuracy.":[109,126],"Deployed":[110],"at":[111],"Xiaohongshu":[112],"with":[113],"over":[114],"5,000":[115],"daily":[116],"sessions,":[117],"delivers":[119],"2\u00d7":[121],"speedup":[122],"84.64%":[125],"Visitors":[127],"can":[128],"explore":[129],"our":[130],"live":[131],"demo":[132],"(https://dilab-zju.github.io/ChronosBI/)":[133],"experience":[135],"this":[136],"adaptive,":[137],"cost-aware":[138],"generation":[139],"process,":[140],"which":[141],"exemplifies":[142],"scalable":[144],"path":[145],"next-generation":[147],"LLM-based":[148],"systems.":[150]},"counts_by_year":[],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2026-05-27T00:00:00"}
