{"id":"https://openalex.org/W4412888582","doi":"https://doi.org/10.18653/v1/2025.findings-acl.270","title":"Exploring the Choice Behavior of Large Language Models","display_name":"Exploring the Choice Behavior of Large Language Models","publication_year":2025,"publication_date":"2025-01-01","ids":{"openalex":"https://openalex.org/W4412888582","doi":"https://doi.org/10.18653/v1/2025.findings-acl.270"},"language":"en","primary_location":{"id":"doi:10.18653/v1/2025.findings-acl.270","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/2025.findings-acl.270","pdf_url":"https://aclanthology.org/2025.findings-acl.270.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.270.pdf","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5059968882","display_name":"Weidong Wu","orcid":"https://orcid.org/0000-0002-6647-9099"},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Weidong Wu","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":null,"display_name":"Qinlin Zhao","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Qinlin Zhao","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5082083478","display_name":"Hao Chen","orcid":"https://orcid.org/0000-0002-2680-6921"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Hao Chen","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":null,"display_name":"Lexin Zhou","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Lexin Zhou","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5085254654","display_name":"Defu Lian","orcid":"https://orcid.org/0000-0002-3507-9607"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Defu Lian","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5059342776","display_name":"Hong Xie","orcid":"https://orcid.org/0000-0002-0956-0421"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Hong Xie","raw_affiliation_strings":[],"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5059968882"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":true,"cited_by_count":0,"citation_normalized_percentile":{"value":0.09302215,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"5194","last_page":"5214"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10028","display_name":"Topic Modeling","score":0.48500001430511475,"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":0.48500001430511475,"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/computer-science","display_name":"Computer science","score":0.6902643442153931},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.389894962310791},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.33271175622940063}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6902643442153931},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.389894962310791},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.33271175622940063}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.18653/v1/2025.findings-acl.270","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/2025.findings-acl.270","pdf_url":"https://aclanthology.org/2025.findings-acl.270.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.270","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/2025.findings-acl.270","pdf_url":"https://aclanthology.org/2025.findings-acl.270.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":[{"id":"https://metadata.un.org/sdg/4","display_name":"Quality Education","score":0.5600000023841858}],"awards":[{"id":"https://openalex.org/G5499064096","display_name":null,"funder_award_id":"U24A20253","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4412888582.pdf","grobid_xml":"https://content.openalex.org/works/W4412888582.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/W2390279801","https://openalex.org/W4391913857","https://openalex.org/W2358668433","https://openalex.org/W4396701345","https://openalex.org/W2376932109","https://openalex.org/W2001405890","https://openalex.org/W3204019825"],"abstract_inverted_index":{"Large":[0],"Language":[1],"Models":[2],"(LLMs)":[3],"are":[4],"increasingly":[5],"deployed":[6],"as":[7],"human":[8,42],"assistants":[9],"across":[10],"various":[11],"domains":[12],"where":[13],"they":[14],"help":[15],"to":[16,107],"make":[17],"choices.However,":[18],"the":[19,33,40,55,108],"mechanisms":[20],"behind":[21],"LLMs'":[22,58,88,121,131],"choice":[23,59],"behavior":[24,60,89,122],"remain":[25],"unclear,":[26],"posing":[27],"risks":[28],"in":[29,82,120],"safety-critical":[30],"situations.Inspired":[31],"by":[32,61,94,100,123],"intrinsic":[34,95],"and":[35,48,78,111],"extrinsic":[36,101],"motivation":[37],"framework":[38],"within":[39],"classic":[41],"behavioral":[43,132],"model":[44],"of":[45,116],"Self-Determination":[46],"Theory":[47],"its":[49],"established":[50],"research":[51],"methodologies,":[52],"we":[53],"investigate":[54],"factors":[56,119],"influencing":[57],"constructing":[62],"a":[63],"virtual":[64],"QA":[65],"platform":[66],"that":[67,87],"includes":[68],"three":[69],"different":[70],"experimental":[71],"conditions,":[72],"with":[73],"four":[74],"models":[75],"from":[76],"GPT":[77],"Llama":[79],"series":[80],"participating":[81],"repeated":[83],"experiments.Our":[84],"findings":[85],"indicate":[86],"is":[90],"influenced":[91],"not":[92],"only":[93],"attention":[96],"bias":[97],"but":[98],"also":[99],"social":[102],"influence,":[103],"exhibiting":[104],"patterns":[105],"similar":[106],"Matthew":[109],"effect":[110],"Conformity.We":[112],"distinguish":[113],"independent":[114],"pathways":[115],"these":[117],"two":[118],"self-report.This":[124],"work":[125],"provides":[126],"new":[127],"insights":[128],"into":[129],"understanding":[130],"patterns,":[133],"exploring":[134],"their":[135],"human-like":[136],"characteristics.":[137]},"counts_by_year":[],"updated_date":"2026-04-21T08:09:41.155169","created_date":"2025-10-10T00:00:00"}
