{"id":"https://openalex.org/W4412376911","doi":"https://doi.org/10.1145/3726302.3730281","title":"Gosling Grows Up: Retrieval with Learned Dense and Sparse Representations Using Anserini","display_name":"Gosling Grows Up: Retrieval with Learned Dense and Sparse Representations Using Anserini","publication_year":2025,"publication_date":"2025-07-13","ids":{"openalex":"https://openalex.org/W4412376911","doi":"https://doi.org/10.1145/3726302.3730281"},"language":"en","primary_location":{"id":"doi:10.1145/3726302.3730281","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3726302.3730281","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":"Proceedings of the 48th International ACM SIGIR Conference on Research and Development in Information Retrieval","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://doi.org/10.1145/3726302.3730281","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5082997975","display_name":"Jimmy Lin","orcid":"https://orcid.org/0000-0002-0661-7189"},"institutions":[{"id":"https://openalex.org/I151746483","display_name":"University of Waterloo","ror":"https://ror.org/01aff2v68","country_code":"CA","type":"education","lineage":["https://openalex.org/I151746483"]}],"countries":["CA"],"is_corresponding":true,"raw_author_name":"Jimmy Lin","raw_affiliation_strings":["University of Waterloo, Waterloo, Ontario, Canada"],"raw_orcid":"https://orcid.org/0000-0002-0661-7189","affiliations":[{"raw_affiliation_string":"University of Waterloo, Waterloo, Ontario, Canada","institution_ids":["https://openalex.org/I151746483"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Arthur Haonan Chen","orcid":"https://orcid.org/0009-0009-2668-8636"},"institutions":[{"id":"https://openalex.org/I151746483","display_name":"University of Waterloo","ror":"https://ror.org/01aff2v68","country_code":"CA","type":"education","lineage":["https://openalex.org/I151746483"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Arthur Haonan Chen","raw_affiliation_strings":["University of Waterloo, Waterloo, Ontario, Canada"],"raw_orcid":"https://orcid.org/0009-0009-2668-8636","affiliations":[{"raw_affiliation_string":"University of Waterloo, Waterloo, Ontario, Canada","institution_ids":["https://openalex.org/I151746483"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5068114632","display_name":"Carlos Lassance","orcid":"https://orcid.org/0000-0002-7754-6656"},"institutions":[{"id":"https://openalex.org/I863488634","display_name":"Coherent (United States)","ror":"https://ror.org/031tysd23","country_code":"US","type":"company","lineage":["https://openalex.org/I863488634"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Carlos Lassance","raw_affiliation_strings":["Cohere, Grenoble, Isere, France"],"raw_orcid":"https://orcid.org/0000-0002-7754-6656","affiliations":[{"raw_affiliation_string":"Cohere, Grenoble, Isere, France","institution_ids":["https://openalex.org/I863488634"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5021623012","display_name":"Xueguang Ma","orcid":"https://orcid.org/0000-0003-3430-4910"},"institutions":[{"id":"https://openalex.org/I151746483","display_name":"University of Waterloo","ror":"https://ror.org/01aff2v68","country_code":"CA","type":"education","lineage":["https://openalex.org/I151746483"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Xueguang Ma","raw_affiliation_strings":["University of Waterloo, Waterloo, Ontario, Canada"],"raw_orcid":"https://orcid.org/0000-0003-3430-4910","affiliations":[{"raw_affiliation_string":"University of Waterloo, Waterloo, Ontario, Canada","institution_ids":["https://openalex.org/I151746483"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101480198","display_name":"Ronak Pradeep","orcid":"https://orcid.org/0000-0001-6296-601X"},"institutions":[{"id":"https://openalex.org/I151746483","display_name":"University of Waterloo","ror":"https://ror.org/01aff2v68","country_code":"CA","type":"education","lineage":["https://openalex.org/I151746483"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Ronak Pradeep","raw_affiliation_strings":["University of Waterloo, Waterloo, Ontario, Canada"],"raw_orcid":"https://orcid.org/0000-0001-6296-601X","affiliations":[{"raw_affiliation_string":"University of Waterloo, Waterloo, Ontario, Canada","institution_ids":["https://openalex.org/I151746483"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5083417786","display_name":"Tommaso Teofili","orcid":"https://orcid.org/0000-0002-4372-0273"},"institutions":[{"id":"https://openalex.org/I171955805","display_name":"Genetic Information Research Institute","ror":"https://ror.org/01jngdt03","country_code":"US","type":"nonprofit","lineage":["https://openalex.org/I171955805"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Tommaso Teofili","raw_affiliation_strings":["Elastic, Mountain View, California, USA"],"raw_orcid":"https://orcid.org/0000-0002-4372-0273","affiliations":[{"raw_affiliation_string":"Elastic, Mountain View, California, USA","institution_ids":["https://openalex.org/I171955805"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5036134309","display_name":"Jasper Xian","orcid":"https://orcid.org/0009-0004-2740-6120"},"institutions":[{"id":"https://openalex.org/I151746483","display_name":"University of Waterloo","ror":"https://ror.org/01aff2v68","country_code":"CA","type":"education","lineage":["https://openalex.org/I151746483"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Jasper Xian","raw_affiliation_strings":["University of Waterloo, Waterloo, Ontario, Canada"],"raw_orcid":"https://orcid.org/0009-0004-2740-6120","affiliations":[{"raw_affiliation_string":"University of Waterloo, Waterloo, Ontario, Canada","institution_ids":["https://openalex.org/I151746483"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5014519159","display_name":"Jheng-Hong Yang","orcid":"https://orcid.org/0000-0001-5469-312X"},"institutions":[{"id":"https://openalex.org/I151746483","display_name":"University of Waterloo","ror":"https://ror.org/01aff2v68","country_code":"CA","type":"education","lineage":["https://openalex.org/I151746483"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Jheng-Hong Yang","raw_affiliation_strings":["University of Waterloo, Waterloo, Ontario, Canada"],"raw_orcid":"https://orcid.org/0000-0001-5469-312X","affiliations":[{"raw_affiliation_string":"University of Waterloo, Waterloo, Ontario, Canada","institution_ids":["https://openalex.org/I151746483"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Brayden Zhong","orcid":"https://orcid.org/0009-0002-9860-8040"},"institutions":[{"id":"https://openalex.org/I151746483","display_name":"University of Waterloo","ror":"https://ror.org/01aff2v68","country_code":"CA","type":"education","lineage":["https://openalex.org/I151746483"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Brayden Zhong","raw_affiliation_strings":["University of Waterloo, Waterloo, Ontario, Canada"],"raw_orcid":"https://orcid.org/0009-0002-9860-8040","affiliations":[{"raw_affiliation_string":"University of Waterloo, Waterloo, Ontario, Canada","institution_ids":["https://openalex.org/I151746483"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5118969043","display_name":"Vincent Zhong","orcid":null},"institutions":[{"id":"https://openalex.org/I151746483","display_name":"University of Waterloo","ror":"https://ror.org/01aff2v68","country_code":"CA","type":"education","lineage":["https://openalex.org/I151746483"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Vincent Zhong","raw_affiliation_strings":["University of Waterloo, Waterloo, Ontario, Canada"],"raw_orcid":"https://orcid.org/0009-0007-7933-6453","affiliations":[{"raw_affiliation_string":"University of Waterloo, Waterloo, Ontario, Canada","institution_ids":["https://openalex.org/I151746483"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":10,"corresponding_author_ids":["https://openalex.org/A5082997975"],"corresponding_institution_ids":["https://openalex.org/I151746483"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.07988928,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"3223","last_page":"3233"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10028","display_name":"Topic Modeling","score":0.9987000226974487,"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":0.9987000226974487,"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/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9973999857902527,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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":0.6716390252113342},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4421314299106598},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.33947256207466125}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6716390252113342},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4421314299106598},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.33947256207466125}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3726302.3730281","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3726302.3730281","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":"Proceedings of the 48th International ACM SIGIR Conference on Research and Development in Information Retrieval","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.1145/3726302.3730281","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3726302.3730281","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":"Proceedings of the 48th International ACM SIGIR Conference on Research and Development in Information Retrieval","raw_type":"proceedings-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":56,"referenced_works":["https://openalex.org/W1966443646","https://openalex.org/W2091379987","https://openalex.org/W2096937925","https://openalex.org/W2108278040","https://openalex.org/W2136189984","https://openalex.org/W2147152072","https://openalex.org/W2740321901","https://openalex.org/W2750779823","https://openalex.org/W2806743650","https://openalex.org/W2897754576","https://openalex.org/W2899154813","https://openalex.org/W2963469388","https://openalex.org/W2970971581","https://openalex.org/W2979826702","https://openalex.org/W2998702515","https://openalex.org/W3021397474","https://openalex.org/W3021779606","https://openalex.org/W3034912391","https://openalex.org/W3099384026","https://openalex.org/W3099700870","https://openalex.org/W3100107515","https://openalex.org/W3147292006","https://openalex.org/W3152624702","https://openalex.org/W3154755316","https://openalex.org/W3168875417","https://openalex.org/W3172119680","https://openalex.org/W3180230246","https://openalex.org/W3184918446","https://openalex.org/W3208821253","https://openalex.org/W3209981429","https://openalex.org/W3217305727","https://openalex.org/W4205171160","https://openalex.org/W4205951122","https://openalex.org/W4213045215","https://openalex.org/W4243800839","https://openalex.org/W4252076394","https://openalex.org/W4284664419","https://openalex.org/W4295312788","https://openalex.org/W4302008968","https://openalex.org/W4306317212","https://openalex.org/W4311609640","https://openalex.org/W4327499170","https://openalex.org/W4376123230","https://openalex.org/W4384890771","https://openalex.org/W4385565351","https://openalex.org/W4387846582","https://openalex.org/W4389523765","https://openalex.org/W4392384312","https://openalex.org/W4400526199","https://openalex.org/W4400527956","https://openalex.org/W4400530959","https://openalex.org/W4404782721","https://openalex.org/W4409183414","https://openalex.org/W6602744131","https://openalex.org/W6681698864","https://openalex.org/W6845038366"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2899084033","https://openalex.org/W2748952813","https://openalex.org/W2390279801","https://openalex.org/W4391913857","https://openalex.org/W2358668433","https://openalex.org/W4396701345","https://openalex.org/W2376932109","https://openalex.org/W2001405890","https://openalex.org/W4396696052"],"abstract_inverted_index":{"The":[0,78],"Anserini":[1,49,106],"IR":[2],"toolkit":[3],"has":[4,41,50],"come":[5],"a":[6,44,82,97],"long":[7],"way":[8],"since":[9],"efforts":[10],"began":[11],"in":[12,26,52],"2015.":[13],"Although":[14],"the":[15,18,39,58,64,75,101,122,128,135,153],"goals":[16],"of":[17,61,66,103,137,157],"project":[19,76],"-":[20,35],"to":[21,30,54],"bridge":[22],"research":[23,138,148,158],"and":[24,29,91,95,116,127,139,149],"practice":[25],"information":[27],"retrieval,":[28],"provide":[31],"reproducible,":[32],"easy-to-use":[33],"baselines":[34],"have":[36],"remained":[37],"constant,":[38],"world":[40],"changed":[42],"quite":[43],"bit.":[45],"We":[46],"discuss":[47],"how":[48],"evolved":[51],"response":[53],"this":[55],"changing":[56],"environment,":[57],"most":[59],"significant":[60],"which":[62],"is":[63],"advent":[65],"transformer-based":[67],"retrieval":[68,86,110],"models":[69,87],"that":[70],"did":[71],"not":[72],"exist":[73],"when":[74],"started.":[77],"bi-encoder":[79],"architecture":[80],"provides":[81,107],"framework":[83],"for":[84,99],"understanding":[85],"based":[88,111],"on":[89,112,121],"dense":[90,115],"sparse":[92,117],"vector":[93],"representations,":[94,118],"offers":[96],"reference":[98],"conveying":[100],"capabilities":[102],"our":[104],"toolkit.":[105],"end-to-end":[108],"first-stage":[109],"single-vector":[113],"learned":[114],"directly":[119],"building":[120],"open-source":[123],"Lucene":[124],"search":[125],"library":[126],"ONNX":[129],"runtime.":[130],"This":[131],"minimal":[132],"design":[133],"accelerates":[134],"pace":[136],"fosters":[140],"reproducibility,":[141],"enabling":[142],"''two-click":[143],"reproductions''.":[144],"By":[145],"better":[146],"aligning":[147],"practice,":[150],"we":[151],"increase":[152],"potential":[154],"real-world":[155],"impact":[156],"innovations.":[159]},"counts_by_year":[],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2025-10-10T00:00:00"}
