{"id":"https://openalex.org/W7166874862","doi":"https://doi.org/10.18653/v1/2026.acl-long.1320","title":"Selective Test-Time Debiasing for CLIP via Reward Gating","display_name":"Selective Test-Time Debiasing for CLIP via Reward Gating","publication_year":2026,"publication_date":"2026-01-01","ids":{"openalex":"https://openalex.org/W7166874862","doi":"https://doi.org/10.18653/v1/2026.acl-long.1320"},"language":null,"primary_location":{"id":"doi:10.18653/v1/2026.acl-long.1320","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/2026.acl-long.1320","pdf_url":"https://aclanthology.org/2026.acl-long.1320.pdf","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 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://aclanthology.org/2026.acl-long.1320.pdf","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5139815723","display_name":"Jaeho Han","orcid":null},"institutions":[{"id":"https://openalex.org/I4210164862","display_name":"Artificial Intelligence in Medicine (Canada)","ror":"https://ror.org/05p590m36","country_code":"CA","type":"company","lineage":["https://openalex.org/I4210164862"]},{"id":"https://openalex.org/I67900169","display_name":"Chung-Ang University","ror":"https://ror.org/01r024a98","country_code":"KR","type":"education","lineage":["https://openalex.org/I67900169"]}],"countries":["CA","KR"],"is_corresponding":false,"raw_author_name":"Jaeho Han","raw_affiliation_strings":["Department of Artificial Intelligence , Chung-Ang University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Artificial Intelligence , Chung-Ang University","institution_ids":["https://openalex.org/I4210164862","https://openalex.org/I67900169"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5139755370","display_name":"Jisoo Yang","orcid":null},"institutions":[{"id":"https://openalex.org/I4210164862","display_name":"Artificial Intelligence in Medicine (Canada)","ror":"https://ror.org/05p590m36","country_code":"CA","type":"company","lineage":["https://openalex.org/I4210164862"]},{"id":"https://openalex.org/I67900169","display_name":"Chung-Ang University","ror":"https://ror.org/01r024a98","country_code":"KR","type":"education","lineage":["https://openalex.org/I67900169"]}],"countries":["CA","KR"],"is_corresponding":false,"raw_author_name":"Jisoo Yang","raw_affiliation_strings":["Department of Artificial Intelligence , Chung-Ang University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Artificial Intelligence , Chung-Ang University","institution_ids":["https://openalex.org/I4210164862","https://openalex.org/I67900169"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5139762754","display_name":"Hyeondong Woo","orcid":null},"institutions":[{"id":"https://openalex.org/I4210164862","display_name":"Artificial Intelligence in Medicine (Canada)","ror":"https://ror.org/05p590m36","country_code":"CA","type":"company","lineage":["https://openalex.org/I4210164862"]},{"id":"https://openalex.org/I67900169","display_name":"Chung-Ang University","ror":"https://ror.org/01r024a98","country_code":"KR","type":"education","lineage":["https://openalex.org/I67900169"]}],"countries":["CA","KR"],"is_corresponding":false,"raw_author_name":"Hyeondong Woo","raw_affiliation_strings":["Department of Artificial Intelligence , Chung-Ang University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Artificial Intelligence , Chung-Ang University","institution_ids":["https://openalex.org/I4210164862","https://openalex.org/I67900169"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5139790540","display_name":"Mingyu Jeon","orcid":null},"institutions":[{"id":"https://openalex.org/I4210164862","display_name":"Artificial Intelligence in Medicine (Canada)","ror":"https://ror.org/05p590m36","country_code":"CA","type":"company","lineage":["https://openalex.org/I4210164862"]},{"id":"https://openalex.org/I67900169","display_name":"Chung-Ang University","ror":"https://ror.org/01r024a98","country_code":"KR","type":"education","lineage":["https://openalex.org/I67900169"]}],"countries":["CA","KR"],"is_corresponding":false,"raw_author_name":"Mingyu Jeon","raw_affiliation_strings":["Department of Artificial Intelligence , Chung-Ang University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Artificial Intelligence , Chung-Ang University","institution_ids":["https://openalex.org/I4210164862","https://openalex.org/I67900169"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5058873046","display_name":"Sunjae Yoon","orcid":"https://orcid.org/0000-0001-7458-5273"},"institutions":[{"id":"https://openalex.org/I4210164862","display_name":"Artificial Intelligence in Medicine (Canada)","ror":"https://ror.org/05p590m36","country_code":"CA","type":"company","lineage":["https://openalex.org/I4210164862"]},{"id":"https://openalex.org/I67900169","display_name":"Chung-Ang University","ror":"https://ror.org/01r024a98","country_code":"KR","type":"education","lineage":["https://openalex.org/I67900169"]}],"countries":["CA","KR"],"is_corresponding":false,"raw_author_name":"Sunjae Yoon","raw_affiliation_strings":["Department of Artificial Intelligence , Chung-Ang University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Artificial Intelligence , Chung-Ang University","institution_ids":["https://openalex.org/I4210164862","https://openalex.org/I67900169"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5062487816","display_name":"\uae40\uc900\uc601","orcid":null},"institutions":[{"id":"https://openalex.org/I4210164862","display_name":"Artificial Intelligence in Medicine (Canada)","ror":"https://ror.org/05p590m36","country_code":"CA","type":"company","lineage":["https://openalex.org/I4210164862"]},{"id":"https://openalex.org/I67900169","display_name":"Chung-Ang University","ror":"https://ror.org/01r024a98","country_code":"KR","type":"education","lineage":["https://openalex.org/I67900169"]}],"countries":["CA","KR"],"is_corresponding":false,"raw_author_name":"Junyeong Kim","raw_affiliation_strings":["Department of Artificial Intelligence , Chung-Ang University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Artificial Intelligence , Chung-Ang University","institution_ids":["https://openalex.org/I4210164862","https://openalex.org/I67900169"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":true,"cited_by_count":0,"citation_normalized_percentile":{"value":0.82799097,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"28617","last_page":"28631"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11032","display_name":"VLSI and Analog Circuit Testing","score":0.45980000495910645,"subfield":{"id":"https://openalex.org/subfields/1708","display_name":"Hardware and Architecture"},"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/T11032","display_name":"VLSI and Analog Circuit Testing","score":0.45980000495910645,"subfield":{"id":"https://openalex.org/subfields/1708","display_name":"Hardware and Architecture"},"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/T10860","display_name":"Speech and Audio Processing","score":0.033399999141693115,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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/T11034","display_name":"Digital Filter Design and Implementation","score":0.025100000202655792,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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":0.7305999994277954},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.257999986410141},{"id":"https://openalex.org/keywords/matching","display_name":"Matching (statistics)","score":0.25609999895095825},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.2513999938964844},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.24650000035762787}],"concepts":[{"id":"https://openalex.org/C2779458634","wikidata":"https://www.wikidata.org/wiki/Q24963715","display_name":"Debiasing","level":2,"score":0.7305999994277954},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6140000224113464},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.37709999084472656},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3767000138759613},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.257999986410141},{"id":"https://openalex.org/C165064840","wikidata":"https://www.wikidata.org/wiki/Q1321061","display_name":"Matching (statistics)","level":2,"score":0.25609999895095825},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.2513999938964844},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.24650000035762787},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.2354000061750412},{"id":"https://openalex.org/C194544171","wikidata":"https://www.wikidata.org/wiki/Q21105679","display_name":"Gating","level":2,"score":0.2175000011920929}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.18653/v1/2026.acl-long.1320","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/2026.acl-long.1320","pdf_url":"https://aclanthology.org/2026.acl-long.1320.pdf","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 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.18653/v1/2026.acl-long.1320","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/2026.acl-long.1320","pdf_url":"https://aclanthology.org/2026.acl-long.1320.pdf","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 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)","raw_type":"proceedings-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G13572568","display_name":null,"funder_award_id":"RS-2021-II211341","funder_id":"https://openalex.org/F4320335489","funder_display_name":"Institute for Information and Communications Technology Promotion"},{"id":"https://openalex.org/G1931183695","display_name":null,"funder_award_id":"RS-2022-II220184","funder_id":"https://openalex.org/F4320335489","funder_display_name":"Institute for Information and Communications Technology Promotion"},{"id":"https://openalex.org/G2635804323","display_name":null,"funder_award_id":"RS-2026-25498346","funder_id":"https://openalex.org/F4320320671","funder_display_name":"National Research Foundation"},{"id":"https://openalex.org/G4244160943","display_name":null,"funder_award_id":"RS-2021-II211341","funder_id":"https://openalex.org/F4320321202","funder_display_name":"Chung-Ang University"},{"id":"https://openalex.org/G4700831490","display_name":null,"funder_award_id":"2022-","funder_id":"https://openalex.org/F4320335489","funder_display_name":"Institute for Information and Communications Technology Promotion"},{"id":"https://openalex.org/G552592315","display_name":null,"funder_award_id":"RS-2021-II211341","funder_id":"https://openalex.org/F4320328359","funder_display_name":"Ministry of Science and ICT, South Korea"}],"funders":[{"id":"https://openalex.org/F4320320671","display_name":"National Research Foundation","ror":"https://ror.org/05s0g1g46"},{"id":"https://openalex.org/F4320321202","display_name":"Chung-Ang University","ror":"https://ror.org/01r024a98"},{"id":"https://openalex.org/F4320322120","display_name":"National Research Foundation of Korea","ror":"https://ror.org/013aysd81"},{"id":"https://openalex.org/F4320324891","display_name":"Iran Telecommunication Research Center","ror":"https://ror.org/01a3g2z22"},{"id":"https://openalex.org/F4320328359","display_name":"Ministry of Science and ICT, South Korea","ror":"https://ror.org/01wpjm123"},{"id":"https://openalex.org/F4320335489","display_name":"Institute for Information and Communications Technology Promotion","ror":"https://ror.org/01g0hqq23"}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W7166874862.pdf","grobid_xml":"https://content.openalex.org/works/W7166874862.grobid-xml"},"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"Vision":[0],"language":[1],"models":[2],"(VLMs)":[3],"demonstrate":[4,124],"strong":[5],"zero-shot":[6,131],"performance,":[7],"but":[8],"often":[9],"perpetuate":[10],"social":[11],"stereotypes":[12,54],"in":[13,45,55],"person-centric":[14],"queries,":[15,47],"yielding":[16],"skewed":[17],"demographic":[18],"distributions.Current":[19],"debiasing":[20,40,50,87],"methods":[21],"apply":[22],"uniform":[23,137],"bias":[24,33,99,126],"corrections":[25],"across":[26],"all":[27],"input":[28,90,103],"queries":[29,67],"regardless":[30],"of":[31,101,136],"their":[32],"sensitivity,":[34],"creating":[35],"a":[36,78],"fundamental":[37],"fairness-utility":[38],"trade-off.Strong":[39],"distorts":[41],"semantically":[42],"meaningful":[43],"information":[44],"bias-insensitive":[46,66,116],"while":[48,108,128],"weak":[49],"fails":[51],"to":[52],"mitigate":[53],"biassensitive":[56],"ones.This":[57],"one-size-fits-all":[58],"approach":[59],"hampers":[60],"simultaneously":[61,129],"achieving":[62],"high":[63],"utility":[64],"on":[65,70,89,97,111,118],"and":[68],"fairness":[69,94,119],"bias-sensitive":[71],"queries.We":[72],"introduce":[73],"Reward-Gated":[74],"Test-Time":[75],"Adaptation":[76],"(RG-TTA),":[77],"reinforcement":[79],"learning-based":[80],"test-time":[81],"adaptation":[82],"framework":[83],"that":[84],"selectively":[85],"applies":[86],"based":[88,96],"sensitivity.RG-TTA":[91],"adaptively":[92],"triggers":[93],"regularization":[95],"the":[98,134],"sensitivity":[100],"each":[102],"during":[104],"testtime":[105],"policy":[106],"adaptation,":[107],"focusing":[109],"exclusively":[110],"optimizing":[112],"cross-modal":[113],"alignment":[114],"for":[115],"inputs.Experiments":[117],"benchmarks":[120],"(e.g.,":[121],"FairFace,":[122],"UTKFace)":[123],"substantial":[125],"reduction":[127],"improving":[130],"utility,":[132],"resolving":[133],"trade-off":[135],"debiasing.Bias-insensitive":[138],"query":[139],"0.2":[140,149],"0.5":[141,150],"0.8":[142],"66":[143],"67":[144],"68":[145],"69":[146],"70":[147],"71":[148],"0.":[151]},"counts_by_year":[],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2026-07-02T00:00:00"}