{"id":"https://openalex.org/W4372266800","doi":"https://doi.org/10.1109/icassp49357.2023.10095658","title":"Compensatory Debiasing For Gender Imbalances In Language Models","display_name":"Compensatory Debiasing For Gender Imbalances In Language Models","publication_year":2023,"publication_date":"2023-05-05","ids":{"openalex":"https://openalex.org/W4372266800","doi":"https://doi.org/10.1109/icassp49357.2023.10095658"},"language":"en","primary_location":{"id":"doi:10.1109/icassp49357.2023.10095658","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp49357.2023.10095658","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ICASSP 2023 - 2023 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/A5055873557","display_name":"Tae-Jin Woo","orcid":null},"institutions":[{"id":"https://openalex.org/I197347611","display_name":"Korea University","ror":"https://ror.org/047dqcg40","country_code":"KR","type":"education","lineage":["https://openalex.org/I197347611"]}],"countries":["KR"],"is_corresponding":true,"raw_author_name":"Tae-Jin Woo","raw_affiliation_strings":["Korea University,Department of Artificial Intelligence,South Korea","Department of Artificial Intelligence, Korea University, South Korea"],"affiliations":[{"raw_affiliation_string":"Korea University,Department of Artificial Intelligence,South Korea","institution_ids":["https://openalex.org/I197347611"]},{"raw_affiliation_string":"Department of Artificial Intelligence, Korea University, South Korea","institution_ids":["https://openalex.org/I197347611"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5109442512","display_name":"Woo-Jeoung Nam","orcid":null},"institutions":[{"id":"https://openalex.org/I31419693","display_name":"Kyungpook National University","ror":"https://ror.org/040c17130","country_code":"KR","type":"education","lineage":["https://openalex.org/I31419693"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Woo-Jeoung Nam","raw_affiliation_strings":["Kyungpook National University,School of Computer Science and Engineering,South Korea","School of Computer Science and Engineering, Kyungpook National University, South Korea"],"affiliations":[{"raw_affiliation_string":"Kyungpook National University,School of Computer Science and Engineering,South Korea","institution_ids":["https://openalex.org/I31419693"]},{"raw_affiliation_string":"School of Computer Science and Engineering, Kyungpook National University, South Korea","institution_ids":["https://openalex.org/I31419693"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5017703997","display_name":"Yeong-Joon Ju","orcid":"https://orcid.org/0009-0009-5552-2520"},"institutions":[{"id":"https://openalex.org/I197347611","display_name":"Korea University","ror":"https://ror.org/047dqcg40","country_code":"KR","type":"education","lineage":["https://openalex.org/I197347611"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Yeong-Joon Ju","raw_affiliation_strings":["Korea University,Department of Artificial Intelligence,South Korea","Department of Artificial Intelligence, Korea University, South Korea"],"affiliations":[{"raw_affiliation_string":"Korea University,Department of Artificial Intelligence,South Korea","institution_ids":["https://openalex.org/I197347611"]},{"raw_affiliation_string":"Department of Artificial Intelligence, Korea University, South Korea","institution_ids":["https://openalex.org/I197347611"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5011014617","display_name":"Seong\u2010Whan Lee","orcid":"https://orcid.org/0000-0002-6249-4996"},"institutions":[{"id":"https://openalex.org/I197347611","display_name":"Korea University","ror":"https://ror.org/047dqcg40","country_code":"KR","type":"education","lineage":["https://openalex.org/I197347611"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Seong-Whan Lee","raw_affiliation_strings":["Korea University,Department of Artificial Intelligence,South Korea","Department of Artificial Intelligence, Korea University, South Korea"],"affiliations":[{"raw_affiliation_string":"Korea University,Department of Artificial Intelligence,South Korea","institution_ids":["https://openalex.org/I197347611"]},{"raw_affiliation_string":"Department of Artificial Intelligence, Korea University, South Korea","institution_ids":["https://openalex.org/I197347611"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5055873557"],"corresponding_institution_ids":["https://openalex.org/I197347611"],"apc_list":null,"apc_paid":null,"fwci":0.9803,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":{"value":0.77920919,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":95,"max":97},"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/T10028","display_name":"Topic Modeling","score":0.9961000084877014,"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":0.9961000084877014,"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":0.9944000244140625,"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/T13629","display_name":"Text Readability and Simplification","score":0.9704999923706055,"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/debiasing","display_name":"Debiasing","score":0.9928604364395142},{"id":"https://openalex.org/keywords/stereotype","display_name":"Stereotype (UML)","score":0.759944498538971},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.644169807434082},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5202997326850891},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.49689605832099915},{"id":"https://openalex.org/keywords/gender-bias","display_name":"Gender bias","score":0.48341429233551025},{"id":"https://openalex.org/keywords/language-model","display_name":"Language model","score":0.4746342599391937},{"id":"https://openalex.org/keywords/cognitive-psychology","display_name":"Cognitive psychology","score":0.4500211179256439},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.34772247076034546},{"id":"https://openalex.org/keywords/social-psychology","display_name":"Social psychology","score":0.22352519631385803}],"concepts":[{"id":"https://openalex.org/C2779458634","wikidata":"https://www.wikidata.org/wiki/Q24963715","display_name":"Debiasing","level":2,"score":0.9928604364395142},{"id":"https://openalex.org/C168127410","wikidata":"https://www.wikidata.org/wiki/Q1754331","display_name":"Stereotype (UML)","level":2,"score":0.759944498538971},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.644169807434082},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5202997326850891},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.49689605832099915},{"id":"https://openalex.org/C2983427547","wikidata":"https://www.wikidata.org/wiki/Q93200","display_name":"Gender bias","level":2,"score":0.48341429233551025},{"id":"https://openalex.org/C137293760","wikidata":"https://www.wikidata.org/wiki/Q3621696","display_name":"Language model","level":2,"score":0.4746342599391937},{"id":"https://openalex.org/C180747234","wikidata":"https://www.wikidata.org/wiki/Q23373","display_name":"Cognitive psychology","level":1,"score":0.4500211179256439},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.34772247076034546},{"id":"https://openalex.org/C77805123","wikidata":"https://www.wikidata.org/wiki/Q161272","display_name":"Social psychology","level":1,"score":0.22352519631385803},{"id":"https://openalex.org/C115903868","wikidata":"https://www.wikidata.org/wiki/Q80993","display_name":"Software engineering","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icassp49357.2023.10095658","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp49357.2023.10095658","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ICASSP 2023 - 2023 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Quality Education","score":0.4699999988079071,"id":"https://metadata.un.org/sdg/4"}],"awards":[],"funders":[{"id":"https://openalex.org/F4320321373","display_name":"Korea University","ror":"https://ror.org/047dqcg40"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":29,"referenced_works":["https://openalex.org/W2896457183","https://openalex.org/W2908510526","https://openalex.org/W2923014074","https://openalex.org/W2950018712","https://openalex.org/W2963078909","https://openalex.org/W2963526187","https://openalex.org/W2971307358","https://openalex.org/W2979826702","https://openalex.org/W3035241006","https://openalex.org/W3035591180","https://openalex.org/W3093211917","https://openalex.org/W3105882417","https://openalex.org/W3131157458","https://openalex.org/W3132103448","https://openalex.org/W3155655882","https://openalex.org/W3173610337","https://openalex.org/W3176196997","https://openalex.org/W3176477796","https://openalex.org/W3206487987","https://openalex.org/W4285192297","https://openalex.org/W4292779060","https://openalex.org/W6721933647","https://openalex.org/W6755207826","https://openalex.org/W6757817989","https://openalex.org/W6778883912","https://openalex.org/W6784516682","https://openalex.org/W6788910479","https://openalex.org/W6791024018","https://openalex.org/W6791074292"],"related_works":["https://openalex.org/W3037697022","https://openalex.org/W4385573539","https://openalex.org/W3140314308","https://openalex.org/W4307474756","https://openalex.org/W2966634430","https://openalex.org/W4240015404","https://openalex.org/W4288265763","https://openalex.org/W2972663293","https://openalex.org/W4389520196","https://openalex.org/W4387929023"],"abstract_inverted_index":{"Pre-trained":[0],"language":[1,38],"models":[2],"(PLMs)":[3],"learn":[4],"gender":[5,74,108],"bias":[6,13,27,75,112,182],"from":[7],"imbalances":[8],"in":[9,22,51],"human-written":[10],"corpora.":[11],"This":[12,80],"leads":[14],"to":[15,34,45,72,87,101,110,136],"critical":[16],"social":[17],"issues":[18],"when":[19],"deploying":[20],"PLMs":[21],"real-world":[23],"scenarios.":[24],"However,":[25],"minimizing":[26],"is":[28,42],"limited":[29],"by":[30,174],"the":[31,35,52,56,106,114,118,123,126,129,133,141,150,153,157,171,178],"trade-off":[32],"due":[33],"degradation":[36],"of":[37,85,103,105,128,152,181,186],"modeling":[39],"performance.":[40],"It":[41],"particularly":[43],"challenging":[44],"detach":[46],"and":[47,92,99,132,164],"remove":[48],"biased":[49,89],"representations":[50,104,127],"embedding":[53],"space":[54],"because":[55],"learned":[57],"linguistic":[58,78,138],"knowledge":[59,139,185],"entails":[60],"bias.":[61],"To":[62,144],"address":[63],"this":[64],"problem,":[65],"we":[66,121,148],"propose":[67],"a":[68],"compensatory":[69],"debiasing":[70,130],"strategy":[71,81,176],"reduce":[73],"while":[76,183],"preserving":[77],"knowledge.":[79],"utilizes":[82],"two":[83,107],"types":[84],"sentences":[86],"distinguish":[88],"knowledge:":[90],"stereotype":[91,115],"non-stereotype":[93,142],"sentences.":[94,116,143],"We":[95],"assign":[96],"small":[97],"angles":[98],"distances":[100],"pairs":[102],"groups":[109],"mitigate":[111],"for":[113,125,140],"At":[117],"same":[119],"time,":[120],"maximize":[122],"agreement":[124],"model":[131,135,155,172],"original":[134],"maintain":[137],"validate":[145],"our":[146,175],"approach,":[147],"measure":[149],"performance":[151],"debiased":[154],"using":[156],"following":[158],"evaluation":[159],"metrics:":[160],"SEAT,":[161],"StereoSet,":[162],"CrowS-Pairs,":[163],"GLUE.":[165],"Our":[166],"experimental":[167],"results":[168],"demonstrate":[169],"that":[170],"fine-tuned":[173],"has":[177],"lowest":[179],"level":[180],"retaining":[184],"PLMs.":[187]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":3}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
