{"id":"https://openalex.org/W7140112015","doi":"https://doi.org/10.18653/v1/2026.eacl-industry.19","title":"Beyond Grid Search: Leveraging Bayesian Optimization for Accelerating RAG Pipeline Optimization","display_name":"Beyond Grid Search: Leveraging Bayesian Optimization for Accelerating RAG Pipeline Optimization","publication_year":2026,"publication_date":"2026-01-01","ids":{"openalex":"https://openalex.org/W7140112015","doi":"https://doi.org/10.18653/v1/2026.eacl-industry.19"},"language":null,"primary_location":{"id":"doi:10.18653/v1/2026.eacl-industry.19","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/2026.eacl-industry.19","pdf_url":"https://aclanthology.org/2026.eacl-industry.19.pdf","source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 19th Conference of the European Chapter of the Association for Computational Linguistics (Volume 5: Industry Track)","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://aclanthology.org/2026.eacl-industry.19.pdf","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5130411550","display_name":"Anum Afzal","orcid":null},"institutions":[{"id":"https://openalex.org/I62916508","display_name":"Technical University of Munich","ror":"https://ror.org/02kkvpp62","country_code":"DE","type":"education","lineage":["https://openalex.org/I62916508"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Anum Afzal","raw_affiliation_strings":["Technical University of Munich Technical University of Munich Technical University of Munich"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Technical University of Munich Technical University of Munich Technical University of Munich","institution_ids":["https://openalex.org/I62916508"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5067222253","display_name":"Xueru Zheng","orcid":null},"institutions":[{"id":"https://openalex.org/I62916508","display_name":"Technical University of Munich","ror":"https://ror.org/02kkvpp62","country_code":"DE","type":"education","lineage":["https://openalex.org/I62916508"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Xueru Zheng","raw_affiliation_strings":["Technical University of Munich Technical University of Munich Technical University of Munich"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Technical University of Munich Technical University of Munich Technical University of Munich","institution_ids":["https://openalex.org/I62916508"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5130329009","display_name":"Florian Matthes","orcid":null},"institutions":[{"id":"https://openalex.org/I62916508","display_name":"Technical University of Munich","ror":"https://ror.org/02kkvpp62","country_code":"DE","type":"education","lineage":["https://openalex.org/I62916508"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Florian Matthes","raw_affiliation_strings":["Technical University of Munich Technical University of Munich Technical University of Munich"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Technical University of Munich Technical University of Munich Technical University of Munich","institution_ids":["https://openalex.org/I62916508"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I62916508"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":true,"cited_by_count":0,"citation_normalized_percentile":{"value":0.32106647,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"263","last_page":"277"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10848","display_name":"Advanced Multi-Objective Optimization Algorithms","score":0.16899999976158142,"subfield":{"id":"https://openalex.org/subfields/1703","display_name":"Computational Theory and Mathematics"},"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/T10848","display_name":"Advanced Multi-Objective Optimization Algorithms","score":0.16899999976158142,"subfield":{"id":"https://openalex.org/subfields/1703","display_name":"Computational Theory and Mathematics"},"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/T12101","display_name":"Advanced Bandit Algorithms Research","score":0.10320000350475311,"subfield":{"id":"https://openalex.org/subfields/1803","display_name":"Management Science and Operations Research"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T11413","display_name":"Risk and Portfolio Optimization","score":0.08659999817609787,"subfield":{"id":"https://openalex.org/subfields/1803","display_name":"Management Science and Operations Research"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/bayesian-optimization","display_name":"Bayesian optimization","score":0.5602999925613403},{"id":"https://openalex.org/keywords/pipeline","display_name":"Pipeline (software)","score":0.5304999947547913},{"id":"https://openalex.org/keywords/grid","display_name":"Grid","score":0.4593000113964081},{"id":"https://openalex.org/keywords/bayesian-probability","display_name":"Bayesian probability","score":0.4320000112056732},{"id":"https://openalex.org/keywords/optimization-problem","display_name":"Optimization problem","score":0.3253999948501587},{"id":"https://openalex.org/keywords/power-grid","display_name":"Power grid","score":0.3183000087738037}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6377000212669373},{"id":"https://openalex.org/C2778049539","wikidata":"https://www.wikidata.org/wiki/Q17002908","display_name":"Bayesian optimization","level":2,"score":0.5602999925613403},{"id":"https://openalex.org/C43521106","wikidata":"https://www.wikidata.org/wiki/Q2165493","display_name":"Pipeline (software)","level":2,"score":0.5304999947547913},{"id":"https://openalex.org/C187691185","wikidata":"https://www.wikidata.org/wiki/Q2020720","display_name":"Grid","level":2,"score":0.4593000113964081},{"id":"https://openalex.org/C107673813","wikidata":"https://www.wikidata.org/wiki/Q812534","display_name":"Bayesian probability","level":2,"score":0.4320000112056732},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.3896999955177307},{"id":"https://openalex.org/C137836250","wikidata":"https://www.wikidata.org/wiki/Q984063","display_name":"Optimization problem","level":2,"score":0.3253999948501587},{"id":"https://openalex.org/C2983254600","wikidata":"https://www.wikidata.org/wiki/Q1096907","display_name":"Power grid","level":3,"score":0.3183000087738037},{"id":"https://openalex.org/C49937458","wikidata":"https://www.wikidata.org/wiki/Q2599292","display_name":"Probabilistic logic","level":2,"score":0.3075000047683716},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.2985000014305115},{"id":"https://openalex.org/C2987595161","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Optimization algorithm","level":2,"score":0.29499998688697815},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.28450000286102295},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.2827000021934509},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.27619999647140503},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.27549999952316284},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.27379998564720154}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.18653/v1/2026.eacl-industry.19","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/2026.eacl-industry.19","pdf_url":"https://aclanthology.org/2026.eacl-industry.19.pdf","source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 19th Conference of the European Chapter of the Association for Computational Linguistics (Volume 5: Industry Track)","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.18653/v1/2026.eacl-industry.19","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/2026.eacl-industry.19","pdf_url":"https://aclanthology.org/2026.eacl-industry.19.pdf","source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 19th Conference of the European Chapter of the Association for Computational Linguistics (Volume 5: Industry Track)","raw_type":"proceedings-article"},"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320323383","display_name":"Technische Universit\u00e4t M\u00fcnchen","ror":"https://ror.org/02kkvpp62"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W7140112015.pdf","grobid_xml":"https://content.openalex.org/works/W7140112015.grobid-xml"},"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"Finding":[0],"optimal":[1],"configurations":[2],"for":[3,87,102],"Retrieval-Augmented":[4],"Generation":[5],"(RAG)":[6],"pipelines":[7],"via":[8],"grid":[9,73],"search":[10,74],"is":[11],"computationally":[12],"prohibitive,":[13],"limiting":[14],"real-world":[15],"scalability.We":[16],"investigate":[17],"Bayesian":[18],"Optimization":[19],"(BO)":[20],"as":[21],"an":[22],"efficient":[23],"alternative,":[24],"systematically":[25],"comparing":[26],"seven":[27],"BO":[28,63],"strategies":[29],"combining":[30],"four":[31],"surrogate":[32],"models":[33],"and":[34,41,49,57,116],"two":[35],"multi-fidelity":[36],"methods":[37],"across":[38],"FiQA,":[39],"SciFact,":[40],"HotpotQA":[42],"datasets.Our":[43],"framework":[44],"explores":[45],"both":[46],"global":[47],"pipeline":[48],"local":[50,80],"component-wise":[51],"optimization,":[52],"targeting":[53],"final":[54],"RAG":[55,104,119],"performance":[56,89],"resource":[58,99],"efficiency.Our":[59],"results":[60],"show":[61],"that":[62,97,109],"reduces":[64],"optimization":[65,81],"time":[66],"by":[67],"up":[68],"to":[69,72,113],"84%":[70],"compared":[71],"while":[75],"maintaining":[76],"comparable":[77],"accuracy,":[78],"with":[79,92],"offering":[82],"the":[83],"most":[84],"practical":[85],"balance":[86],"deployment.Notably,":[88],"gains":[90],"plateau":[91],"larger":[93],"evaluation":[94],"budgets,":[95],"suggesting":[96],"moderate":[98],"investments":[100],"suffice":[101],"effective":[103],"tuning.We":[105],"provide":[106],"actionable":[107],"guidelines":[108],"empower":[110],"industry":[111],"practitioners":[112],"efficiently":[114],"configure":[115],"deploy":[117],"high-performing":[118],"systems":[120],"under":[121],"realworld":[122],"constraints.":[123]},"counts_by_year":[],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2026-03-24T00:00:00"}
