{"id":"https://openalex.org/W4416034689","doi":"https://doi.org/10.18653/v1/2025.findings-emnlp.364","title":"Mitigating Gender Bias via Fostering Exploratory Thinking in LLMs","display_name":"Mitigating Gender Bias via Fostering Exploratory Thinking in LLMs","publication_year":2025,"publication_date":"2025-01-01","ids":{"openalex":"https://openalex.org/W4416034689","doi":"https://doi.org/10.18653/v1/2025.findings-emnlp.364"},"language":null,"primary_location":{"id":"doi:10.18653/v1/2025.findings-emnlp.364","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/2025.findings-emnlp.364","pdf_url":"https://aclanthology.org/2025.findings-emnlp.364.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":"Findings of the Association for Computational Linguistics: EMNLP 2025","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://aclanthology.org/2025.findings-emnlp.364.pdf","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5089811959","display_name":"Kangda Wei","orcid":null},"institutions":[{"id":"https://openalex.org/I91045830","display_name":"Texas A&M University","ror":"https://ror.org/01f5ytq51","country_code":"US","type":"education","lineage":["https://openalex.org/I91045830"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Kangda Wei","raw_affiliation_strings":["Department of Computer Science and Engineering Texas A&M University , College Station , TX"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Engineering Texas A&M University , College Station , TX","institution_ids":["https://openalex.org/I91045830"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Hasnat Md Abdullah","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Hasnat Md Abdullah","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5101688218","display_name":"Ruihong Huang","orcid":"https://orcid.org/0000-0002-4639-7766"},"institutions":[{"id":"https://openalex.org/I91045830","display_name":"Texas A&M University","ror":"https://ror.org/01f5ytq51","country_code":"US","type":"education","lineage":["https://openalex.org/I91045830"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Ruihong Huang","raw_affiliation_strings":["Department of Computer Science and Engineering Texas A&M University , College Station , TX"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Engineering Texas A&M University , College Station , TX","institution_ids":["https://openalex.org/I91045830"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":true,"cited_by_count":0,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"6895","last_page":"6917"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10883","display_name":"Ethics and Social Impacts of AI","score":0.24950000643730164,"subfield":{"id":"https://openalex.org/subfields/3311","display_name":"Safety Research"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},"topics":[{"id":"https://openalex.org/T10883","display_name":"Ethics and Social Impacts of AI","score":0.24950000643730164,"subfield":{"id":"https://openalex.org/subfields/3311","display_name":"Safety Research"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T10028","display_name":"Topic Modeling","score":0.10199999809265137,"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/T12128","display_name":"AI in Service Interactions","score":0.09239999949932098,"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/exploratory-research","display_name":"Exploratory research","score":0.4490000009536743},{"id":"https://openalex.org/keywords/gender-bias","display_name":"Gender bias","score":0.41260001063346863},{"id":"https://openalex.org/keywords/perspective","display_name":"Perspective (graphical)","score":0.30979999899864197},{"id":"https://openalex.org/keywords/work","display_name":"Work (physics)","score":0.2930999994277954},{"id":"https://openalex.org/keywords/qualitative-research","display_name":"Qualitative research","score":0.28290000557899475}],"concepts":[{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.5065000057220459},{"id":"https://openalex.org/C77805123","wikidata":"https://www.wikidata.org/wiki/Q161272","display_name":"Social psychology","level":1,"score":0.4683000147342682},{"id":"https://openalex.org/C85973986","wikidata":"https://www.wikidata.org/wiki/Q1091731","display_name":"Exploratory research","level":2,"score":0.4490000009536743},{"id":"https://openalex.org/C2983427547","wikidata":"https://www.wikidata.org/wiki/Q93200","display_name":"Gender bias","level":2,"score":0.41260001063346863},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.3149000108242035},{"id":"https://openalex.org/C12713177","wikidata":"https://www.wikidata.org/wiki/Q1900281","display_name":"Perspective (graphical)","level":2,"score":0.30979999899864197},{"id":"https://openalex.org/C39549134","wikidata":"https://www.wikidata.org/wiki/Q133080","display_name":"Public relations","level":1,"score":0.3012999892234802},{"id":"https://openalex.org/C18762648","wikidata":"https://www.wikidata.org/wiki/Q42213","display_name":"Work (physics)","level":2,"score":0.2930999994277954},{"id":"https://openalex.org/C190248442","wikidata":"https://www.wikidata.org/wiki/Q839486","display_name":"Qualitative research","level":2,"score":0.28290000557899475},{"id":"https://openalex.org/C138496976","wikidata":"https://www.wikidata.org/wiki/Q175002","display_name":"Developmental psychology","level":1,"score":0.2694000005722046},{"id":"https://openalex.org/C137403100","wikidata":"https://www.wikidata.org/wiki/Q41710","display_name":"Ethnic group","level":2,"score":0.25920000672340393},{"id":"https://openalex.org/C2776035688","wikidata":"https://www.wikidata.org/wiki/Q1606558","display_name":"Affect (linguistics)","level":2,"score":0.2515000104904175}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.18653/v1/2025.findings-emnlp.364","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/2025.findings-emnlp.364","pdf_url":"https://aclanthology.org/2025.findings-emnlp.364.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":"Findings of the Association for Computational Linguistics: EMNLP 2025","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.18653/v1/2025.findings-emnlp.364","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/2025.findings-emnlp.364","pdf_url":"https://aclanthology.org/2025.findings-emnlp.364.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":"Findings of the Association for Computational Linguistics: EMNLP 2025","raw_type":"proceedings-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4416034689.pdf","grobid_xml":"https://content.openalex.org/works/W4416034689.grobid-xml"},"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"Large":[0],"Language":[1],"Models":[2],"(LLMs)":[3],"often":[4],"exhibit":[5],"gender":[6,39,60,83,144],"bias,":[7,145],"resulting":[8],"in":[9,66,84],"unequal":[10],"treatment":[11],"of":[12,40,80],"male":[13],"and":[14,116,157],"female":[15],"subjects":[16],"across":[17],"different":[18,82],"contexts.In":[19],"particular,":[20],"our":[21,140],"recent":[22],"work":[23],"(Bajaj":[24],"et":[25],"al.,":[26],"2024)":[27],"highlights":[28],"that":[29,62,112,139],"LLMs":[30],"make":[31],"one-sided":[32],"opposite":[33],"moral":[34,98,115],"judgments":[35,111,120],"depending":[36],"on":[37,101],"the":[38,41,89,93,105,127,155],"main":[42],"character":[43],"for":[44],"morally":[45,74],"ambiguous":[46,75],"scenarios.Inspired":[47],"by":[48],"this":[49],"finding,":[50],"we":[51,103],"propose":[52],"a":[53,81],"novel":[54],"data":[55,159],"generation":[56],"framework":[57],"to":[58,72,107,125],"mitigate":[59],"bias":[61],"fosters":[63],"exploratory":[64,110,119],"thinking":[65],"LLMs.Our":[67],"approach":[68],"prompts":[69],"an":[70],"LLM":[71],"generate":[73],"story":[76,90],"pairs":[77],"featuring":[78],"protagonists":[79],"otherwise":[85],"structurally":[86],"identical":[87],"scenarios.For":[88],"scenarios":[91],"where":[92],"model":[94,106,128,152],"actually":[95],"exhibits":[96],"inconsistent":[97],"reasoning":[99],"based":[100],"gender,":[102],"prompt":[104],"produce":[108],"neutral":[109],"integrate":[113],"both":[114],"immoral":[117],"perspectives.These":[118],"are":[121],"used":[122],"as":[123],"supervision":[124],"fine-tune":[126],"or":[129,148],"optimize":[130],"it":[131],"via":[132],"Direct":[133],"Preference":[134],"Optimization":[135],"(DPO).Experimental":[136],"results":[137],"show":[138],"method":[141],"effectively":[142],"reduces":[143],"while":[146],"preserving":[147],"even":[149],"enhancing":[150],"general":[151],"capabilities.We":[153],"release":[154],"code":[156],"generated":[158],"at:":[160]},"counts_by_year":[],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-11-08T00:00:00"}