{"id":"https://openalex.org/W4408347223","doi":"https://doi.org/10.1109/icassp49660.2025.10889018","title":"Improving Generated and Retrieved Knowledge Combination Through Zero-shot Generation","display_name":"Improving Generated and Retrieved Knowledge Combination Through Zero-shot Generation","publication_year":2025,"publication_date":"2025-03-12","ids":{"openalex":"https://openalex.org/W4408347223","doi":"https://doi.org/10.1109/icassp49660.2025.10889018"},"language":"en","primary_location":{"id":"doi:10.1109/icassp49660.2025.10889018","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp49660.2025.10889018","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ICASSP 2025 - 2025 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5079203711","display_name":"Xinkai Du","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Xinkai Du","raw_affiliation_strings":["Dig&AI Tech Sunshine Insurance Group,Beijing,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Dig&AI Tech Sunshine Insurance Group,Beijing,China","institution_ids":[]}]},{"author_position":"middle","author":{"id":null,"display_name":"Quanjie Han","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Quanjie Han","raw_affiliation_strings":["Dig&AI Tech Sunshine Insurance Group,Beijing,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Dig&AI Tech Sunshine Insurance Group,Beijing,China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5113381904","display_name":"Chao Lv","orcid":"https://orcid.org/0000-0001-8615-2029"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Chao Lv","raw_affiliation_strings":["Dig&AI Tech Sunshine Insurance Group,Beijing,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Dig&AI Tech Sunshine Insurance Group,Beijing,China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100729293","display_name":"Yan Liu","orcid":"https://orcid.org/0000-0001-7330-1793"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Yan Liu","raw_affiliation_strings":["Dig&AI Tech Sunshine Insurance Group,Beijing,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Dig&AI Tech Sunshine Insurance Group,Beijing,China","institution_ids":[]}]},{"author_position":"middle","author":{"id":null,"display_name":"Yalin Sun","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Yalin Sun","raw_affiliation_strings":["Dig&AI Tech Sunshine Insurance Group,Beijing,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Dig&AI Tech Sunshine Insurance Group,Beijing,China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5115705101","display_name":"Hao Shu","orcid":null},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hao Shu","raw_affiliation_strings":["Tsinghua University,Dept. of Comp. Sci. & Tech.,Beijing,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Tsinghua University,Dept. of Comp. Sci. & Tech.,Beijing,China","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5115705102","display_name":"Hongbo Shan","orcid":null},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hongbo Shan","raw_affiliation_strings":["Tsinghua University,Dept. of Comp. Sci. & Tech.,Beijing,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Tsinghua University,Dept. of Comp. Sci. & Tech.,Beijing,China","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5046448314","display_name":"Maosong Sun","orcid":"https://orcid.org/0000-0002-6011-6115"},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Maosong Sun","raw_affiliation_strings":["Tsinghua University,Dept. of Comp. Sci. & Tech.,Beijing,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Tsinghua University,Dept. of Comp. Sci. & Tech.,Beijing,China","institution_ids":["https://openalex.org/I99065089"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":8,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.7588,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.8555458,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":95,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"5"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11902","display_name":"Intelligent Tutoring Systems and Adaptive Learning","score":0.7059000134468079,"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/T11902","display_name":"Intelligent Tutoring Systems and Adaptive Learning","score":0.7059000134468079,"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/computer-science","display_name":"Computer science","score":0.57489013671875},{"id":"https://openalex.org/keywords/shot","display_name":"Shot (pellet)","score":0.5542287230491638},{"id":"https://openalex.org/keywords/zero","display_name":"Zero (linguistics)","score":0.5255942344665527},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.32152843475341797},{"id":"https://openalex.org/keywords/materials-science","display_name":"Materials science","score":0.11239704489707947}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.57489013671875},{"id":"https://openalex.org/C2778344882","wikidata":"https://www.wikidata.org/wiki/Q278938","display_name":"Shot (pellet)","level":2,"score":0.5542287230491638},{"id":"https://openalex.org/C2780813799","wikidata":"https://www.wikidata.org/wiki/Q3274237","display_name":"Zero (linguistics)","level":2,"score":0.5255942344665527},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.32152843475341797},{"id":"https://openalex.org/C192562407","wikidata":"https://www.wikidata.org/wiki/Q228736","display_name":"Materials science","level":0,"score":0.11239704489707947},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C191897082","wikidata":"https://www.wikidata.org/wiki/Q11467","display_name":"Metallurgy","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icassp49660.2025.10889018","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp49660.2025.10889018","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ICASSP 2025 - 2025 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":32,"referenced_works":["https://openalex.org/W2093390569","https://openalex.org/W2222512263","https://openalex.org/W2252136820","https://openalex.org/W2912924812","https://openalex.org/W2963339397","https://openalex.org/W2963748441","https://openalex.org/W3095696617","https://openalex.org/W3099700870","https://openalex.org/W3104657626","https://openalex.org/W3156789018","https://openalex.org/W3205068155","https://openalex.org/W4225992558","https://openalex.org/W4385565351","https://openalex.org/W4385570777","https://openalex.org/W4385573057","https://openalex.org/W4389520075","https://openalex.org/W4389520486","https://openalex.org/W4389524089","https://openalex.org/W4392909535","https://openalex.org/W4402671836","https://openalex.org/W6769627184","https://openalex.org/W6777615688","https://openalex.org/W6778883912","https://openalex.org/W6803991540","https://openalex.org/W6810081322","https://openalex.org/W6810738896","https://openalex.org/W6843395508","https://openalex.org/W6850625674","https://openalex.org/W6854861890","https://openalex.org/W6857549670","https://openalex.org/W6857779439","https://openalex.org/W6860028411"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2899084033","https://openalex.org/W2748952813","https://openalex.org/W2074502265","https://openalex.org/W4214877189","https://openalex.org/W2773965352","https://openalex.org/W2381179799","https://openalex.org/W2980279061","https://openalex.org/W2334685461","https://openalex.org/W2366718574"],"abstract_inverted_index":{"Open-domain":[0],"Question":[1],"Answering":[2],"(QA)":[3],"has":[4],"garnered":[5],"substantial":[6],"interest":[7],"by":[8,128],"combining":[9],"the":[10,75],"advantages":[11],"of":[12,30,38,78,116],"faithfully":[13],"retrieved":[14,68,107],"passages":[15,18,69,79],"and":[16,50,58,70,85,130,134,138],"relevant":[17],"generated":[19],"through":[20,89],"Large":[21],"Language":[22],"Models":[23],"(LLMs).":[24],"However,":[25],"there":[26],"is":[27,96],"a":[28,100,110],"lack":[29],"definitive":[31],"labels":[32],"available":[33],"to":[34,42,98,147],"pair":[35,74],"these":[36],"sources":[37],"knowledge.":[39],"In":[40],"order":[41],"address":[43],"this":[44],"issue,":[45],"we":[46],"propose":[47],"an":[48],"unsupervised":[49],"simple":[51],"framework":[52],"called":[53],"Bi-Reranking":[54],"for":[55,66],"Merging":[56],"Generated":[57],"Retrieved":[59],"Knowledge":[60],"(BRMGR),":[61],"which":[62],"utilizes":[63],"re-ranking":[64,83],"methods":[65,84],"both":[67],"LLM-generated":[71,112],"passages.":[72],"We":[73,92],"two":[76,81],"types":[77],"using":[80],"separate":[82],"then":[86],"combine":[87],"them":[88],"greedy":[90],"matching.":[91],"demonstrate":[93],"that":[94],"BRMGR":[95],"equivalent":[97],"employing":[99],"bipartite":[101],"matching":[102],"loss":[103],"when":[104,145],"assigning":[105],"each":[106],"passage":[108],"with":[109],"corresponding":[111],"passage.":[113],"The":[114],"application":[115],"our":[117],"model":[118],"yielded":[119],"experimental":[120],"results":[121],"from":[122],"three":[123],"datasets,":[124,136],"improving":[125],"their":[126],"performance":[127],"+1.7":[129],"+1.6":[131],"on":[132,142],"NQ":[133],"WebQ":[135],"respectively,":[137],"obtaining":[139],"comparable":[140],"result":[141],"TriviaQA":[143],"dataset":[144],"compared":[146],"competitive":[148],"baselines.":[149]},"counts_by_year":[{"year":2026,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}