{"id":"https://openalex.org/W4388955883","doi":"https://doi.org/10.1145/3624918.3629547","title":"Recent Advances in Generative Information Retrieval","display_name":"Recent Advances in Generative Information Retrieval","publication_year":2023,"publication_date":"2023-11-23","ids":{"openalex":"https://openalex.org/W4388955883","doi":"https://doi.org/10.1145/3624918.3629547"},"language":"en","primary_location":{"id":"doi:10.1145/3624918.3629547","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3624918.3629547","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3624918.3629547","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 Annual International ACM SIGIR Conference on Research and Development in Information Retrieval in the Asia Pacific Region","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://dl.acm.org/doi/pdf/10.1145/3624918.3629547","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5101981298","display_name":"Yubao Tang","orcid":"https://orcid.org/0009-0003-8010-3404"},"institutions":[{"id":"https://openalex.org/I4210108629","display_name":"Computer Network Information Center","ror":"https://ror.org/01s0wyf50","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210108629"]},{"id":"https://openalex.org/I4210165038","display_name":"University of Chinese Academy of Sciences","ror":"https://ror.org/05qbk4x57","country_code":"CN","type":"education","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210165038"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yubao Tang","raw_affiliation_strings":["CAS Key Lab of Network Data Science and Technology, CAS Key Lab of Network Data Science and Technology, ICT, CAS; University of Chinese Academy of Sciences, China","University of Chinese Academy of Sciences, China"],"raw_orcid":"https://orcid.org/0009-0003-8010-3404","affiliations":[{"raw_affiliation_string":"CAS Key Lab of Network Data Science and Technology, CAS Key Lab of Network Data Science and Technology, ICT, CAS; University of Chinese Academy of Sciences, China","institution_ids":["https://openalex.org/I4210108629","https://openalex.org/I4210165038"]},{"raw_affiliation_string":"University of Chinese Academy of Sciences, China","institution_ids":["https://openalex.org/I4210165038"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5009898523","display_name":"Ruqing Zhang","orcid":"https://orcid.org/0000-0003-4294-2541"},"institutions":[{"id":"https://openalex.org/I4210090176","display_name":"Institute of Computing Technology","ror":"https://ror.org/0090r4d87","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210090176"]},{"id":"https://openalex.org/I4210165038","display_name":"University of Chinese Academy of Sciences","ror":"https://ror.org/05qbk4x57","country_code":"CN","type":"education","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210165038"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ruqing Zhang","raw_affiliation_strings":["Institute of Computing Technology, Chinese Academy of Sciences, CAS Key Lab of Network Data Science and Technology, ICT, CAS; University of Chinese Academy of Sciences, China","University of Chinese Academy of Sciences, China"],"raw_orcid":"https://orcid.org/0000-0003-4294-2541","affiliations":[{"raw_affiliation_string":"Institute of Computing Technology, Chinese Academy of Sciences, CAS Key Lab of Network Data Science and Technology, ICT, CAS; University of Chinese Academy of Sciences, China","institution_ids":["https://openalex.org/I4210090176","https://openalex.org/I4210165038"]},{"raw_affiliation_string":"University of Chinese Academy of Sciences, China","institution_ids":["https://openalex.org/I4210165038"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5088621320","display_name":"Jiafeng Guo","orcid":"https://orcid.org/0000-0002-9509-8674"},"institutions":[{"id":"https://openalex.org/I4210165038","display_name":"University of Chinese Academy of Sciences","ror":"https://ror.org/05qbk4x57","country_code":"CN","type":"education","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210165038"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jiafeng Guo","raw_affiliation_strings":["CAS Key Lab of Network Data Science and Technology, ICT, CAS; University of Chinese Academy of Sciences, China","University of Chinese Academy of Sciences, China"],"raw_orcid":"https://orcid.org/0000-0002-9509-8674","affiliations":[{"raw_affiliation_string":"CAS Key Lab of Network Data Science and Technology, ICT, CAS; University of Chinese Academy of Sciences, China","institution_ids":["https://openalex.org/I4210165038"]},{"raw_affiliation_string":"University of Chinese Academy of Sciences, China","institution_ids":["https://openalex.org/I4210165038"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5031439294","display_name":"Maarten de Rijke","orcid":"https://orcid.org/0000-0002-1086-0202"},"institutions":[{"id":"https://openalex.org/I887064364","display_name":"University of Amsterdam","ror":"https://ror.org/04dkp9463","country_code":"NL","type":"education","lineage":["https://openalex.org/I887064364"]}],"countries":["NL"],"is_corresponding":false,"raw_author_name":"Maarten de Rijke","raw_affiliation_strings":["University of Amsterdam, The Netherlands"],"raw_orcid":"https://orcid.org/0000-0002-1086-0202","affiliations":[{"raw_affiliation_string":"University of Amsterdam, The Netherlands","institution_ids":["https://openalex.org/I887064364"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":4.2847,"has_fulltext":true,"cited_by_count":10,"citation_normalized_percentile":{"value":0.94914618,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":95,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"294","last_page":"297"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10286","display_name":"Information Retrieval and Search Behavior","score":0.9994000196456909,"subfield":{"id":"https://openalex.org/subfields/1710","display_name":"Information Systems"},"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/T10286","display_name":"Information Retrieval and Search Behavior","score":0.9994000196456909,"subfield":{"id":"https://openalex.org/subfields/1710","display_name":"Information Systems"},"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/T10028","display_name":"Topic Modeling","score":0.9988999962806702,"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/T13083","display_name":"Advanced Text Analysis Techniques","score":0.996999979019165,"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":0.7773544788360596},{"id":"https://openalex.org/keywords/generative-grammar","display_name":"Generative grammar","score":0.5846718549728394},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.583861768245697},{"id":"https://openalex.org/keywords/pipeline","display_name":"Pipeline (software)","score":0.5715234875679016},{"id":"https://openalex.org/keywords/focus","display_name":"Focus (optics)","score":0.5712841153144836},{"id":"https://openalex.org/keywords/inference","display_name":"Inference","score":0.5434366464614868},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.5240904688835144},{"id":"https://openalex.org/keywords/identifier","display_name":"Identifier","score":0.5080704689025879},{"id":"https://openalex.org/keywords/rank","display_name":"Rank (graph theory)","score":0.43449318408966064},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3133360743522644}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7773544788360596},{"id":"https://openalex.org/C39890363","wikidata":"https://www.wikidata.org/wiki/Q36108","display_name":"Generative grammar","level":2,"score":0.5846718549728394},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.583861768245697},{"id":"https://openalex.org/C43521106","wikidata":"https://www.wikidata.org/wiki/Q2165493","display_name":"Pipeline (software)","level":2,"score":0.5715234875679016},{"id":"https://openalex.org/C192209626","wikidata":"https://www.wikidata.org/wiki/Q190909","display_name":"Focus (optics)","level":2,"score":0.5712841153144836},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.5434366464614868},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.5240904688835144},{"id":"https://openalex.org/C154504017","wikidata":"https://www.wikidata.org/wiki/Q853614","display_name":"Identifier","level":2,"score":0.5080704689025879},{"id":"https://openalex.org/C164226766","wikidata":"https://www.wikidata.org/wiki/Q7293202","display_name":"Rank (graph theory)","level":2,"score":0.43449318408966064},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3133360743522644},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.0},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3624918.3629547","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3624918.3629547","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3624918.3629547","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 Annual International ACM SIGIR Conference on Research and Development in Information Retrieval in the Asia Pacific Region","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.1145/3624918.3629547","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3624918.3629547","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3624918.3629547","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 Annual International ACM SIGIR Conference on Research and Development in Information Retrieval in the Asia Pacific Region","raw_type":"proceedings-article"},"sustainable_development_goals":[{"display_name":"Industry, innovation and infrastructure","score":0.5299999713897705,"id":"https://metadata.un.org/sdg/9"}],"awards":[{"id":"https://openalex.org/G6280615682","display_name":"Low Resource Chat-based Conversational Intelligence","funder_award_id":"NWA.1389.20.183","funder_id":"https://openalex.org/F4320321800","funder_display_name":"Nederlandse Organisatie voor Wetenschappelijk Onderzoek"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320321799","display_name":"Ministerie van Onderwijs, Cultuur en Wetenschap","ror":"https://ror.org/02x3w5g21"},{"id":"https://openalex.org/F4320321800","display_name":"Nederlandse Organisatie voor Wetenschappelijk Onderzoek","ror":"https://ror.org/04jsz6e67"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4388955883.pdf","grobid_xml":"https://content.openalex.org/works/W4388955883.grobid-xml"},"referenced_works_count":19,"referenced_works":["https://openalex.org/W2008437643","https://openalex.org/W2028742638","https://openalex.org/W2096937925","https://openalex.org/W2099685860","https://openalex.org/W2136189984","https://openalex.org/W2741632195","https://openalex.org/W2912924812","https://openalex.org/W2922386288","https://openalex.org/W3185146124","https://openalex.org/W4220889970","https://openalex.org/W4292215729","https://openalex.org/W4315649724","https://openalex.org/W4367628274","https://openalex.org/W4384636838","https://openalex.org/W4385565194","https://openalex.org/W4385567756","https://openalex.org/W4385573082","https://openalex.org/W4386302269","https://openalex.org/W4389523905"],"related_works":["https://openalex.org/W4378651134","https://openalex.org/W1979633005","https://openalex.org/W2352307597","https://openalex.org/W2163724607","https://openalex.org/W1980092392","https://openalex.org/W2608983118","https://openalex.org/W4318812462","https://openalex.org/W37347591","https://openalex.org/W2118976126","https://openalex.org/W4252684102"],"abstract_inverted_index":{"Generative":[0],"retrieval":[1,11],"(GR)":[2],"has":[3,14],"become":[4],"a":[5,34,37,41,49,72,124],"highly":[6],"active":[7],"area":[8],"of":[9,67,75,95,114],"information":[10,32,88],"(IR)":[12],"that":[13],"witnessed":[15],"significant":[16],"growth":[17],"recently.":[18],"Compared":[19],"to":[20,29,46,51,63,134,137],"the":[21,25,64,68,112],"traditional":[22],"\u201cindex-retrieve-then-rank\u201d":[23],"pipeline,":[24],"GR":[26,69,128,147],"paradigm":[27,70],"aims":[28],"consolidate":[30],"all":[31],"within":[33],"corpus":[35],"into":[36],"single":[38],"model.":[39],"Typically,":[40],"sequence-to-sequence":[42],"model":[43],"is":[44,132],"trained":[45],"directly":[47],"map":[48],"query":[50],"its":[52,79],"relevant":[53],"document":[54],"identifiers":[55],"(i.e.,":[56],"docids).":[57],"This":[58,130],"tutorial":[59,131],"offers":[60],"an":[61],"introduction":[62],"core":[65],"concepts":[66],"and":[71,81,92,111,122,140],"comprehensive":[73],"overview":[74],"recent":[76,102],"advances":[77],"in":[78,104,144,152],"foundations":[80],"applications.":[82],"We":[83,116],"start":[84],"by":[85,118],"providing":[86],"preliminary":[87],"covering":[89],"foundational":[90],"aspects":[91],"problem":[93],"formulations":[94],"GR.":[96,115],"Then,":[97],"our":[98],"focus":[99],"shifts":[100],"towards":[101],"progress":[103],"docid":[105],"design,":[106],"training":[107],"approaches,":[108],"inference":[109],"strategies,":[110],"applications":[113],"end":[117],"outlining":[119],"remaining":[120],"challenges":[121],"issuing":[123],"call":[125],"for":[126],"future":[127],"research.":[129],"intended":[133],"be":[135],"beneficial":[136],"both":[138],"researchers":[139],"industry":[141],"practitioners":[142],"interested":[143],"developing":[145],"novel":[146],"solutions":[148],"or":[149],"applying":[150],"them":[151],"real-world":[153],"scenarios.":[154]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":6},{"year":2024,"cited_by_count":3}],"updated_date":"2026-06-22T08:00:12.763002","created_date":"2025-10-10T00:00:00"}
