{"id":"https://openalex.org/W4402351800","doi":"https://doi.org/10.1109/ijcnn60899.2024.10650777","title":"Bridge the Query and Document: Contrastive Learning for Generative Document Retrieval","display_name":"Bridge the Query and Document: Contrastive Learning for Generative Document Retrieval","publication_year":2024,"publication_date":"2024-06-30","ids":{"openalex":"https://openalex.org/W4402351800","doi":"https://doi.org/10.1109/ijcnn60899.2024.10650777"},"language":"en","primary_location":{"id":"doi:10.1109/ijcnn60899.2024.10650777","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/ijcnn60899.2024.10650777","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 International Joint Conference on Neural Networks (IJCNN)","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/A5102743935","display_name":"Yunlong Zhao","orcid":"https://orcid.org/0000-0001-5019-5414"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"funder","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210112150","display_name":"Institute of Automation","ror":"https://ror.org/022c3hy66","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210112150"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Yunlong Zhao","raw_affiliation_strings":["Chinese Academy of Sciences,Institute of Automation,Beijing,China"],"affiliations":[{"raw_affiliation_string":"Chinese Academy of Sciences,Institute of Automation,Beijing,China","institution_ids":["https://openalex.org/I4210112150","https://openalex.org/I19820366"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5061378893","display_name":"Ziyi Ni","orcid":"https://orcid.org/0000-0001-6459-4715"},"institutions":[{"id":"https://openalex.org/I4210112150","display_name":"Institute of Automation","ror":"https://ror.org/022c3hy66","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210112150"]},{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"funder","lineage":["https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ziyi Ni","raw_affiliation_strings":["Chinese Academy of Sciences,Institute of Automation,Beijing,China"],"affiliations":[{"raw_affiliation_string":"Chinese Academy of Sciences,Institute of Automation,Beijing,China","institution_ids":["https://openalex.org/I4210112150","https://openalex.org/I19820366"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101229870","display_name":"Zefa Hu","orcid":null},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"funder","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210112150","display_name":"Institute of Automation","ror":"https://ror.org/022c3hy66","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210112150"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zefa Hu","raw_affiliation_strings":["Chinese Academy of Sciences,Institute of Automation,Beijing,China"],"affiliations":[{"raw_affiliation_string":"Chinese Academy of Sciences,Institute of Automation,Beijing,China","institution_ids":["https://openalex.org/I4210112150","https://openalex.org/I19820366"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100654365","display_name":"Shuang Xu","orcid":"https://orcid.org/0000-0003-2369-1767"},"institutions":[{"id":"https://openalex.org/I4210112150","display_name":"Institute of Automation","ror":"https://ror.org/022c3hy66","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210112150"]},{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"funder","lineage":["https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shuang Xu","raw_affiliation_strings":["Chinese Academy of Sciences,Institute of Automation,Beijing,China"],"affiliations":[{"raw_affiliation_string":"Chinese Academy of Sciences,Institute of Automation,Beijing,China","institution_ids":["https://openalex.org/I4210112150","https://openalex.org/I19820366"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5112315995","display_name":"Bo Xu","orcid":"https://orcid.org/0000-0002-2144-4271"},"institutions":[{"id":"https://openalex.org/I4210112150","display_name":"Institute of Automation","ror":"https://ror.org/022c3hy66","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210112150"]},{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"funder","lineage":["https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Bo Xu","raw_affiliation_strings":["Chinese Academy of Sciences,Institute of Automation,Beijing,China"],"affiliations":[{"raw_affiliation_string":"Chinese Academy of Sciences,Institute of Automation,Beijing,China","institution_ids":["https://openalex.org/I4210112150","https://openalex.org/I19820366"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5102743935"],"corresponding_institution_ids":["https://openalex.org/I19820366","https://openalex.org/I4210112150"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.12895883,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"33","issue":null,"first_page":"1","last_page":"8"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10028","display_name":"Topic Modeling","score":0.9994999766349792,"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":0.9994999766349792,"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":0.9986000061035156,"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/T10286","display_name":"Information Retrieval and Search Behavior","score":0.995199978351593,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7762559652328491},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.6988186240196228},{"id":"https://openalex.org/keywords/bridge","display_name":"Bridge (graph theory)","score":0.6536411643028259},{"id":"https://openalex.org/keywords/document-retrieval","display_name":"Document retrieval","score":0.5866019129753113},{"id":"https://openalex.org/keywords/generative-grammar","display_name":"Generative grammar","score":0.49253949522972107},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.46449947357177734},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4124263823032379}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7762559652328491},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.6988186240196228},{"id":"https://openalex.org/C100776233","wikidata":"https://www.wikidata.org/wiki/Q2532492","display_name":"Bridge (graph theory)","level":2,"score":0.6536411643028259},{"id":"https://openalex.org/C161156560","wikidata":"https://www.wikidata.org/wiki/Q1638872","display_name":"Document retrieval","level":2,"score":0.5866019129753113},{"id":"https://openalex.org/C39890363","wikidata":"https://www.wikidata.org/wiki/Q36108","display_name":"Generative grammar","level":2,"score":0.49253949522972107},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.46449947357177734},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4124263823032379},{"id":"https://openalex.org/C126322002","wikidata":"https://www.wikidata.org/wiki/Q11180","display_name":"Internal medicine","level":1,"score":0.0},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ijcnn60899.2024.10650777","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/ijcnn60899.2024.10650777","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 International Joint Conference on Neural Networks (IJCNN)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320335777","display_name":"National Key Research and Development Program of China","ror":null}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":54,"referenced_works":["https://openalex.org/W2118020555","https://openalex.org/W2157364932","https://openalex.org/W2187089797","https://openalex.org/W2421218773","https://openalex.org/W2555897561","https://openalex.org/W2896457183","https://openalex.org/W2912924812","https://openalex.org/W2951534261","https://openalex.org/W2963339397","https://openalex.org/W2970641574","https://openalex.org/W3034999214","https://openalex.org/W3099700870","https://openalex.org/W3156636935","https://openalex.org/W3157758108","https://openalex.org/W3169283738","https://openalex.org/W3173190788","https://openalex.org/W3194782062","https://openalex.org/W3199926081","https://openalex.org/W4221166196","https://openalex.org/W4224438163","https://openalex.org/W4237040408","https://openalex.org/W4252076394","https://openalex.org/W4283315779","https://openalex.org/W4287812705","https://openalex.org/W4288089799","https://openalex.org/W4292215729","https://openalex.org/W4292761107","https://openalex.org/W4292779060","https://openalex.org/W4315649724","https://openalex.org/W4320465836","https://openalex.org/W4320813768","https://openalex.org/W4364383092","https://openalex.org/W4385565194","https://openalex.org/W4385569809","https://openalex.org/W4385571319","https://openalex.org/W4385573082","https://openalex.org/W4385574038","https://openalex.org/W6729938257","https://openalex.org/W6730323794","https://openalex.org/W6755207826","https://openalex.org/W6769243733","https://openalex.org/W6769627184","https://openalex.org/W6774314701","https://openalex.org/W6776700526","https://openalex.org/W6778883912","https://openalex.org/W6779872132","https://openalex.org/W6810136073","https://openalex.org/W6810139940","https://openalex.org/W6810794041","https://openalex.org/W6839125180","https://openalex.org/W6842375975","https://openalex.org/W6849921291","https://openalex.org/W6850138286","https://openalex.org/W6851611710"],"related_works":["https://openalex.org/W166528628","https://openalex.org/W2083605078","https://openalex.org/W2166451235","https://openalex.org/W204509384","https://openalex.org/W1579794579","https://openalex.org/W2188001116","https://openalex.org/W2021736366","https://openalex.org/W2114279702","https://openalex.org/W2112788825","https://openalex.org/W1560138630"],"abstract_inverted_index":{"Generative":[0],"retrieval":[1,17,21,40,44,109,137],"has":[2],"garnered":[3],"significant":[4],"attention":[5],"for":[6,89],"its":[7,34],"end-to-end":[8],"optimization":[9],"and":[10,58,60,70,117,148],"exceptional":[11],"performance.":[12],"Compared":[13],"with":[14],"the":[15,19,39,53,66,77,95,101,106,120,135,141],"dense":[16,136,155],"paradigm,":[18,138],"generative":[20,43,90,108],"paradigm":[22],"maps":[23],"a":[24,27,63,82,154],"query":[25,57,69],"to":[26,93],"relevant":[28],"document":[29,91],"ID":[30],"only":[31],"relying":[32],"on":[33],"model":[35,52],"parameters,":[36],"greatly":[37],"simplifying":[38],"process.":[41],"However,":[42],"faces":[45],"two":[46],"challenges:":[47],"it":[48],"does":[49],"not":[50],"explicitly":[51],"semantic":[54],"relevance":[55],"between":[56,65],"document,":[59],"there":[61],"exists":[62],"gap":[64],"representation":[67,145],"of":[68,114],"document.":[71],"To":[72],"this":[73],"end,":[74],"we":[75],"propose":[76],"Contrastive":[78],"Search":[79],"Index":[80],"(ConSI),":[81],"simple":[83],"but":[84],"effective":[85],"contrastive":[86],"learning":[87,146],"framework":[88,143],"retrieval,":[92],"address":[94],"above":[96],"challenges.":[97],"Experiments":[98],"show":[99],"that":[100,140],"proposed":[102],"ConSI":[103,129],"consistently":[104],"surpasses":[105],"previous":[107],"baselines,":[110],"NCI.":[111],"Further":[112],"analysis":[113],"different":[115],"factors":[116],"indicators":[118],"verifies":[119],"performance":[121,133],"enhancement":[122],"brought":[123],"by":[124],"our":[125,128],"method.":[126],"Besides,":[127],"also":[130],"achieves":[131],"excellent":[132],"in":[134],"demonstrating":[139],"designed":[142],"boosts":[144],"ability":[147],"can":[149],"be":[150],"directly":[151],"used":[152],"as":[153],"retriever.":[156]},"counts_by_year":[],"updated_date":"2025-12-21T01:58:51.020947","created_date":"2025-10-10T00:00:00"}
