{"id":"https://openalex.org/W3153634982","doi":"https://doi.org/10.1145/3442381.3449863","title":"Generalizing Discriminative Retrieval Models using Generative Tasks","display_name":"Generalizing Discriminative Retrieval Models using Generative Tasks","publication_year":2021,"publication_date":"2021-04-19","ids":{"openalex":"https://openalex.org/W3153634982","doi":"https://doi.org/10.1145/3442381.3449863","mag":"3153634982"},"language":"en","primary_location":{"id":"doi:10.1145/3442381.3449863","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3442381.3449863","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 Web Conference 2021","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://doi.org/10.1145/3442381.3449863","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5026254269","display_name":"Binsheng Liu","orcid":null},"institutions":[{"id":"https://openalex.org/I82951845","display_name":"RMIT University","ror":"https://ror.org/04ttjf776","country_code":"AU","type":"education","lineage":["https://openalex.org/I82951845"]}],"countries":["AU"],"is_corresponding":true,"raw_author_name":"Binsheng Liu","raw_affiliation_strings":["RMIT University, Australia"],"affiliations":[{"raw_affiliation_string":"RMIT University, Australia","institution_ids":["https://openalex.org/I82951845"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101457713","display_name":"Hamed Zamani","orcid":"https://orcid.org/0000-0002-0800-3340"},"institutions":[{"id":"https://openalex.org/I24603500","display_name":"University of Massachusetts Amherst","ror":"https://ror.org/0072zz521","country_code":"US","type":"education","lineage":["https://openalex.org/I24603500"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Hamed Zamani","raw_affiliation_strings":["University of Massachusetts Amherst, USA"],"affiliations":[{"raw_affiliation_string":"University of Massachusetts Amherst, USA","institution_ids":["https://openalex.org/I24603500"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103166668","display_name":"Xiaolu Lu","orcid":"https://orcid.org/0000-0002-2092-5460"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Xiaolu Lu","raw_affiliation_strings":["Microsoft, Australia"],"affiliations":[{"raw_affiliation_string":"Microsoft, Australia","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5070937840","display_name":"J. Shane Culpepper","orcid":"https://orcid.org/0000-0002-1902-9087"},"institutions":[{"id":"https://openalex.org/I82951845","display_name":"RMIT University","ror":"https://ror.org/04ttjf776","country_code":"AU","type":"education","lineage":["https://openalex.org/I82951845"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"J. Shane Culpepper","raw_affiliation_strings":["RMIT University, Australia"],"affiliations":[{"raw_affiliation_string":"RMIT University, Australia","institution_ids":["https://openalex.org/I82951845"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5026254269"],"corresponding_institution_ids":["https://openalex.org/I82951845"],"apc_list":null,"apc_paid":null,"fwci":1.1193,"has_fulltext":false,"cited_by_count":8,"citation_normalized_percentile":{"value":0.81842657,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"3745","last_page":"3756"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10028","display_name":"Topic Modeling","score":0.9983999729156494,"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":0.9983999729156494,"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":0.9979000091552734,"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/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9922999739646912,"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":0.8178022503852844},{"id":"https://openalex.org/keywords/discriminative-model","display_name":"Discriminative model","score":0.8017975091934204},{"id":"https://openalex.org/keywords/transformer","display_name":"Transformer","score":0.7616430521011353},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6336079835891724},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.6230185627937317},{"id":"https://openalex.org/keywords/generative-grammar","display_name":"Generative grammar","score":0.5547891855239868},{"id":"https://openalex.org/keywords/multi-task-learning","display_name":"Multi-task learning","score":0.4481672942638397},{"id":"https://openalex.org/keywords/generative-model","display_name":"Generative model","score":0.43043234944343567},{"id":"https://openalex.org/keywords/language-model","display_name":"Language model","score":0.42893826961517334},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.4082486629486084},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.0754615068435669}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8178022503852844},{"id":"https://openalex.org/C97931131","wikidata":"https://www.wikidata.org/wiki/Q5282087","display_name":"Discriminative model","level":2,"score":0.8017975091934204},{"id":"https://openalex.org/C66322947","wikidata":"https://www.wikidata.org/wiki/Q11658","display_name":"Transformer","level":3,"score":0.7616430521011353},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6336079835891724},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.6230185627937317},{"id":"https://openalex.org/C39890363","wikidata":"https://www.wikidata.org/wiki/Q36108","display_name":"Generative grammar","level":2,"score":0.5547891855239868},{"id":"https://openalex.org/C28006648","wikidata":"https://www.wikidata.org/wiki/Q6934509","display_name":"Multi-task learning","level":3,"score":0.4481672942638397},{"id":"https://openalex.org/C167966045","wikidata":"https://www.wikidata.org/wiki/Q5532625","display_name":"Generative model","level":3,"score":0.43043234944343567},{"id":"https://openalex.org/C137293760","wikidata":"https://www.wikidata.org/wiki/Q3621696","display_name":"Language model","level":2,"score":0.42893826961517334},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.4082486629486084},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.0754615068435669},{"id":"https://openalex.org/C165801399","wikidata":"https://www.wikidata.org/wiki/Q25428","display_name":"Voltage","level":2,"score":0.0},{"id":"https://openalex.org/C119599485","wikidata":"https://www.wikidata.org/wiki/Q43035","display_name":"Electrical engineering","level":1,"score":0.0},{"id":"https://openalex.org/C201995342","wikidata":"https://www.wikidata.org/wiki/Q682496","display_name":"Systems engineering","level":1,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1145/3442381.3449863","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3442381.3449863","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 Web Conference 2021","raw_type":"proceedings-article"},{"id":"pmh:oai:alma61RMIT.INST:11280832330001341","is_oa":true,"landing_page_url":"https://dl.acm.org/doi/10.1145/3442381.3449863","pdf_url":null,"source":{"id":"https://openalex.org/S4306402074","display_name":"RMIT Research Repository (RMIT University Library)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I82951845","host_organization_name":"RMIT University","host_organization_lineage":["https://openalex.org/I82951845"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"text"},{"id":"pmh:oai:figshare.com:article/27592533","is_oa":true,"landing_page_url":null,"pdf_url":null,"source":{"id":"https://openalex.org/S4377196282","display_name":"Figshare","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4210132348","host_organization_name":"Figshare (United Kingdom)","host_organization_lineage":["https://openalex.org/I4210132348"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Text"}],"best_oa_location":{"id":"doi:10.1145/3442381.3449863","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3442381.3449863","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 Web Conference 2021","raw_type":"proceedings-article"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/10","display_name":"Reduced inequalities","score":0.7599999904632568}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":14,"referenced_works":["https://openalex.org/W2005449203","https://openalex.org/W2047221353","https://openalex.org/W2610935556","https://openalex.org/W2804823968","https://openalex.org/W2922386288","https://openalex.org/W2950541952","https://openalex.org/W2962753370","https://openalex.org/W2982096936","https://openalex.org/W3017018726","https://openalex.org/W3100107515","https://openalex.org/W4206765718","https://openalex.org/W4251504464","https://openalex.org/W4252076394","https://openalex.org/W4252222626"],"related_works":["https://openalex.org/W2987280934","https://openalex.org/W2093104230","https://openalex.org/W4390874210","https://openalex.org/W4384918963","https://openalex.org/W4365211920","https://openalex.org/W2128027845","https://openalex.org/W2113687551","https://openalex.org/W4386184937","https://openalex.org/W2751624083","https://openalex.org/W4241564561"],"abstract_inverted_index":{"Information":[0],"Retrieval":[1],"has":[2],"a":[3,40,55,86],"long":[4],"history":[5],"of":[6,38,43,47,79],"applying":[7],"either":[8,46],"discriminative":[9],"or":[10,91],"generative":[11],"modeling":[12],"to":[13,32,64,75,132],"retrieval":[14,87,121],"and":[15,23,89,127],"ranking":[16,69,134],"tasks.":[17,96,135],"Recent":[18],"developments":[19],"in":[20,105,149],"transformer":[21,82,107],"architectures":[22],"multi-task":[24,57,116,143],"learning":[25,58,117,144],"techniques":[26],"have":[27],"dramatically":[28],"improved":[29],"our":[30,109],"ability":[31],"train":[33],"effective":[34,67],"neural":[35,68],"models":[36],"capable":[37],"resolving":[39],"wide":[41],"variety":[42],"tasks":[44],"using":[45],"these":[48],"paradigms.":[49],"In":[50],"this":[51],"paper,":[52],"we":[53],"propose":[54],"novel":[56],"approach":[59,118],"which":[60],"can":[61,128],"be":[62,130],"used":[63],"produce":[65],"more":[66,92,150],"models.":[70,152],"The":[71],"key":[72],"idea":[73],"is":[74],"improve":[76],"the":[77,80,99,102,106,114,124],"quality":[78],"underlying":[81],"model":[83,146],"by":[84],"cross-training":[85],"task":[88],"one":[90],"complementary":[93],"language":[94],"generation":[95],"By":[97],"targeting":[98],"training":[100],"on":[101,123],"encoding":[103],"layer":[104],"architecture,":[108],"experimental":[110],"results":[111],"show":[112],"that":[113],"proposed":[115],"consistently":[119],"improves":[120],"effectiveness":[122],"targeted":[125],"collection":[126],"easily":[129],"re-targeted":[131],"new":[133],"We":[136],"provide":[137],"an":[138],"in-depth":[139],"analysis":[140],"showing":[141],"how":[142],"modifies":[145],"behaviors,":[147],"resulting":[148],"general":[151]},"counts_by_year":[{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":3},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":1}],"updated_date":"2026-04-04T16:13:02.066488","created_date":"2025-10-10T00:00:00"}