{"id":"https://openalex.org/W4417275983","doi":"https://doi.org/10.18653/v1/2026.findings-acl.534","title":"Talent or Luck? Evaluating Attribution Bias in Large Language Models","display_name":"Talent or Luck? Evaluating Attribution Bias in Large Language Models","publication_year":2026,"publication_date":"2026-01-01","ids":{"openalex":"https://openalex.org/W4417275983","doi":"https://doi.org/10.18653/v1/2026.findings-acl.534"},"language":"en","primary_location":{"id":"doi:10.18653/v1/2026.findings-acl.534","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/2026.findings-acl.534","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":"Findings of the Association for Computational Linguistics: ACL 2026","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["arxiv","crossref","datacite"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://doi.org/10.18653/v1/2026.findings-acl.534","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5050447573","display_name":"Chahat Raj","orcid":"https://orcid.org/0000-0003-0083-6812"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Chahat Raj","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":null,"display_name":"Mahika Banerjee","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Mahika Banerjee","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":null,"display_name":"Jinhao Pan","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Jinhao Pan","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5021658557","display_name":"Aylin \u00c7al\u0131\u015fkan","orcid":"https://orcid.org/0000-0002-2658-2761"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Aylin Caliskan","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5013793053","display_name":"Antonios Anastasopoulos","orcid":"https://orcid.org/0000-0002-8544-246X"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Antonios Anastasopoulos","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5019994221","display_name":"Ziwei Zhu","orcid":"https://orcid.org/0000-0002-3990-4774"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Ziwei Zhu","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.03544076,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"10982","last_page":"11014"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11902","display_name":"Intelligent Tutoring Systems and Adaptive Learning","score":0.4503999948501587,"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/T11902","display_name":"Intelligent Tutoring Systems and Adaptive Learning","score":0.4503999948501587,"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/T10467","display_name":"Psychometric Methodologies and Testing","score":0.15389999747276306,"subfield":{"id":"https://openalex.org/subfields/1803","display_name":"Management Science and Operations Research"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T12026","display_name":"Explainable Artificial Intelligence (XAI)","score":0.023399999365210533,"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/attribution","display_name":"Attribution","score":0.8234999775886536},{"id":"https://openalex.org/keywords/blame","display_name":"Blame","score":0.8185999989509583},{"id":"https://openalex.org/keywords/attribution-bias","display_name":"Attribution bias","score":0.6578999757766724},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.6108999848365784},{"id":"https://openalex.org/keywords/event","display_name":"Event (particle physics)","score":0.5504999756813049},{"id":"https://openalex.org/keywords/focus","display_name":"Focus (optics)","score":0.4982999861240387},{"id":"https://openalex.org/keywords/causality","display_name":"Causality (physics)","score":0.383899986743927},{"id":"https://openalex.org/keywords/hindsight-bias","display_name":"Hindsight bias","score":0.3197000026702881}],"concepts":[{"id":"https://openalex.org/C143299363","wikidata":"https://www.wikidata.org/wiki/Q900584","display_name":"Attribution","level":2,"score":0.8234999775886536},{"id":"https://openalex.org/C2781466463","wikidata":"https://www.wikidata.org/wiki/Q621695","display_name":"Blame","level":2,"score":0.8185999989509583},{"id":"https://openalex.org/C77805123","wikidata":"https://www.wikidata.org/wiki/Q161272","display_name":"Social psychology","level":1,"score":0.6656000018119812},{"id":"https://openalex.org/C50094484","wikidata":"https://www.wikidata.org/wiki/Q849538","display_name":"Attribution bias","level":3,"score":0.6578999757766724},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.6394000053405762},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.6108999848365784},{"id":"https://openalex.org/C2779662365","wikidata":"https://www.wikidata.org/wiki/Q5416694","display_name":"Event (particle physics)","level":2,"score":0.5504999756813049},{"id":"https://openalex.org/C192209626","wikidata":"https://www.wikidata.org/wiki/Q190909","display_name":"Focus (optics)","level":2,"score":0.4982999861240387},{"id":"https://openalex.org/C180747234","wikidata":"https://www.wikidata.org/wiki/Q23373","display_name":"Cognitive psychology","level":1,"score":0.4722999930381775},{"id":"https://openalex.org/C64357122","wikidata":"https://www.wikidata.org/wiki/Q1149766","display_name":"Causality (physics)","level":2,"score":0.383899986743927},{"id":"https://openalex.org/C10347200","wikidata":"https://www.wikidata.org/wiki/Q1960297","display_name":"Hindsight bias","level":2,"score":0.3197000026702881},{"id":"https://openalex.org/C107062074","wikidata":"https://www.wikidata.org/wiki/Q109701697","display_name":"Prejudice (legal term)","level":2,"score":0.31040000915527344},{"id":"https://openalex.org/C2776325391","wikidata":"https://www.wikidata.org/wiki/Q6917865","display_name":"Motivated reasoning","level":3,"score":0.30730000138282776},{"id":"https://openalex.org/C2780084366","wikidata":"https://www.wikidata.org/wiki/Q37732","display_name":"Demographics","level":2,"score":0.30250000953674316},{"id":"https://openalex.org/C18762648","wikidata":"https://www.wikidata.org/wiki/Q42213","display_name":"Work (physics)","level":2,"score":0.28200000524520874},{"id":"https://openalex.org/C86658582","wikidata":"https://www.wikidata.org/wiki/Q1432778","display_name":"Social cognition","level":3,"score":0.2736999988555908},{"id":"https://openalex.org/C56995899","wikidata":"https://www.wikidata.org/wiki/Q1126687","display_name":"Focus group","level":2,"score":0.26190000772476196},{"id":"https://openalex.org/C115086926","wikidata":"https://www.wikidata.org/wiki/Q17004651","display_name":"Causal reasoning","level":3,"score":0.26089999079704285},{"id":"https://openalex.org/C11671645","wikidata":"https://www.wikidata.org/wiki/Q5054567","display_name":"Causal model","level":2,"score":0.2508000135421753},{"id":"https://openalex.org/C131158328","wikidata":"https://www.wikidata.org/wiki/Q1307337","display_name":"Social influence","level":2,"score":0.25029999017715454}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.18653/v1/2026.findings-acl.534","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/2026.findings-acl.534","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":"Findings of the Association for Computational Linguistics: ACL 2026","raw_type":"proceedings-article"},{"id":"pmh:oai:arXiv.org:2505.22910","is_oa":true,"landing_page_url":"https://arxiv.org/abs/2505.22910","pdf_url":"https://arxiv.org/pdf/2505.22910","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"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":null,"raw_type":"text"},{"id":"doi:10.48550/arxiv.2505.22910","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2505.22910","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"Preprint"}],"best_oa_location":{"id":"doi:10.18653/v1/2026.findings-acl.534","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/2026.findings-acl.534","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":"Findings of the Association for Computational Linguistics: ACL 2026","raw_type":"proceedings-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"When":[0],"a":[1,92],"student":[2],"fails":[3],"an":[4],"exam,":[5],"do":[6],"we":[7],"tend":[8],"to":[9,24,51,98],"blame":[10],"their":[11],"effort":[12],"or":[13,56,86],"the":[14],"test's":[15],"difficulty?":[16],"Attribution,":[17],"defined":[18],"as":[19],"how":[20,40,100],"reasons":[21],"are":[22],"assigned":[23],"event":[25,66],"outcomes,":[26],"shapes":[27],"perceptions,":[28],"reinforces":[29],"stereotypes,":[30],"and":[31],"influences":[32],"decisions.":[33],"Attribution":[34],"Theory":[35],"in":[36,80],"social":[37,78],"psychology":[38],"explains":[39],"humans":[41],"assign":[42],"responsibility":[43],"for":[44],"events":[45],"using":[46],"implicit":[47],"cognition,":[48],"attributing":[49],"causes":[50],"internal":[52],"(e.g.,":[53,58],"effort,":[54],"ability)":[55],"external":[57],"task":[59],"difficulty,":[60],"luck)":[61],"factors.":[62],"LLMs'":[63],"attribution":[64],"of":[65],"outcomes":[67],"based":[68],"on":[69,83],"demographics":[70],"carries":[71],"important":[72],"fairness":[73],"implications.":[74],"Most":[75],"works":[76],"exploring":[77],"biases":[79,105],"LLMs":[81],"focus":[82],"surface-level":[84],"associations":[85],"isolated":[87],"stereotypes.":[88],"This":[89],"work":[90],"proposes":[91],"cognitively":[93],"grounded":[94],"bias":[95],"evaluation":[96],"framework":[97],"identify":[99],"models'":[101],"reasoning":[102],"disparities":[103],"channelize":[104],"toward":[106],"demographic":[107],"groups.":[108]},"counts_by_year":[],"updated_date":"2026-08-05T07:39:15.569665","created_date":"2025-10-10T00:00:00"}