{"id":"https://openalex.org/W4412888775","doi":"https://doi.org/10.18653/v1/2025.findings-acl.263","title":"Evaluating Implicit Bias in Large Language Models by Attacking From a Psychometric Perspective","display_name":"Evaluating Implicit Bias in Large Language Models by Attacking From a Psychometric Perspective","publication_year":2025,"publication_date":"2025-01-01","ids":{"openalex":"https://openalex.org/W4412888775","doi":"https://doi.org/10.18653/v1/2025.findings-acl.263"},"language":"en","primary_location":{"id":"doi:10.18653/v1/2025.findings-acl.263","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/2025.findings-acl.263","pdf_url":"https://aclanthology.org/2025.findings-acl.263.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: ACL 2025","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://aclanthology.org/2025.findings-acl.263.pdf","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5047024203","display_name":"Yuchen Wen","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Yuchen Wen","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5040708820","display_name":"Keping Bi","orcid":"https://orcid.org/0000-0001-5123-4999"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Keping Bi","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5060738858","display_name":"Wei Chen","orcid":"https://orcid.org/0000-0003-0121-6172"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Wei Chen","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5109736354","display_name":"Jiafeng Guo","orcid":"https://orcid.org/0000-0002-9509-8674"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Jiafeng Guo","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5036544715","display_name":"Xueqi Cheng","orcid":"https://orcid.org/0009-0009-3990-4414"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Xueqi Cheng","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":5,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":3.5175,"has_fulltext":true,"cited_by_count":2,"citation_normalized_percentile":{"value":0.93067468,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":98,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"5081","last_page":"5097"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T13629","display_name":"Text Readability and Simplification","score":0.7473999857902527,"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/T13629","display_name":"Text Readability and Simplification","score":0.7473999857902527,"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/T10028","display_name":"Topic Modeling","score":0.637499988079071,"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":0.6323000192642212,"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/perspective","display_name":"Perspective (graphical)","score":0.7759383916854858},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6149623394012451},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.45251891016960144},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.35202598571777344},{"id":"https://openalex.org/keywords/cognitive-psychology","display_name":"Cognitive psychology","score":0.32648488879203796},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.31900453567504883}],"concepts":[{"id":"https://openalex.org/C12713177","wikidata":"https://www.wikidata.org/wiki/Q1900281","display_name":"Perspective (graphical)","level":2,"score":0.7759383916854858},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6149623394012451},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.45251891016960144},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.35202598571777344},{"id":"https://openalex.org/C180747234","wikidata":"https://www.wikidata.org/wiki/Q23373","display_name":"Cognitive psychology","level":1,"score":0.32648488879203796},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.31900453567504883}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.18653/v1/2025.findings-acl.263","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/2025.findings-acl.263","pdf_url":"https://aclanthology.org/2025.findings-acl.263.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: ACL 2025","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.18653/v1/2025.findings-acl.263","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/2025.findings-acl.263","pdf_url":"https://aclanthology.org/2025.findings-acl.263.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: ACL 2025","raw_type":"proceedings-article"},"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320321133","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4412888775.pdf","grobid_xml":"https://content.openalex.org/works/W4412888775.grobid-xml"},"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2899084033","https://openalex.org/W2748952813","https://openalex.org/W2018871932","https://openalex.org/W641279757","https://openalex.org/W370975646","https://openalex.org/W1670566515","https://openalex.org/W4242022592","https://openalex.org/W596972243","https://openalex.org/W3204019825"],"abstract_inverted_index":{"As":[0],"large":[1],"language":[2],"models":[3],"(LLMs)":[4],"become":[5],"an":[6,149],"important":[7],"way":[8],"of":[9,23,44,124,152,157],"information":[10],"access,":[11],"there":[12],"have":[13],"been":[14],"increasing":[15],"concerns":[16],"that":[17,29,131],"LLMs":[18,129],"may":[19],"intensify":[20],"the":[21,82,154],"spread":[22],"unethical":[24],"content,":[25],"including":[26],"implicit":[27,46],"bias":[28,47,99,116,138],"hurts":[30],"certain":[31,49],"populations":[32],"without":[33],"explicit":[34],"harmful":[35],"words.In":[36],"this":[37],"paper,":[38],"we":[39,72,86],"conduct":[40],"a":[41,55,91,110],"rigorous":[42],"evaluation":[43,123],"LLMs'":[45,136],"towards":[48],"demographics":[50],"by":[51,64],"attacking":[52],"them":[53],"from":[54],"psychometric":[56,65],"perspective":[57],"to":[58,61],"elicit":[59,135],"agreements":[60],"biased":[62,95],"viewpoints.Inspired":[63],"principles":[66],"in":[67,164],"cognitive":[68],"and":[69,80,107,127,146],"social":[70],"psychology,":[71],"propose":[73],"three":[74],"attack":[75,84,144],"approaches,":[76],"i.e.,":[77],"Disguise,":[78],"Deception,":[79],"Teaching.Incorporating":[81],"corresponding":[83],"instructions,":[85],"built":[87],"two":[88],"benchmarks:":[89],"(1)":[90],"bilingual":[92],"dataset":[93],"with":[94],"statements":[96],"covering":[97],"four":[98],"types":[100,117],"(2.7K":[101],"instances)":[102,119],"for":[103,120],"extensive":[104],"comparative":[105],"analysis,":[106],"(2)":[108],"BUMBLE,":[109],"larger":[111],"benchmark":[112],"spanning":[113],"nine":[114],"common":[115],"(12.7K":[118],"comprehensive":[121],"evaluation.Extensive":[122],"popular":[125],"commercial":[126],"open-source":[128],"shows":[130],"our":[132],"methods":[133],"can":[134],"inner":[137],"more":[139],"effectively":[140],"than":[141],"competitive":[142],"baselines.Our":[143],"methodology":[145],"benchmarks":[147],"offer":[148],"effective":[150],"means":[151],"assessing":[153],"ethical":[155],"risks":[156],"LLMs,":[158],"driving":[159],"progress":[160],"toward":[161],"greater":[162],"accountability":[163],"their":[165],"development.":[166]},"counts_by_year":[{"year":2026,"cited_by_count":2}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
