{"id":"https://openalex.org/W4412888434","doi":"https://doi.org/10.18653/v1/2025.findings-acl.456","title":"The Linguistic Connectivities Within Large Language Models","display_name":"The Linguistic Connectivities Within Large Language Models","publication_year":2025,"publication_date":"2025-01-01","ids":{"openalex":"https://openalex.org/W4412888434","doi":"https://doi.org/10.18653/v1/2025.findings-acl.456"},"language":"en","primary_location":{"id":"doi:10.18653/v1/2025.findings-acl.456","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/2025.findings-acl.456","pdf_url":"https://aclanthology.org/2025.findings-acl.456.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":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://aclanthology.org/2025.findings-acl.456.pdf","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5100411862","display_name":"Dan Wang","orcid":"https://orcid.org/0000-0002-9713-2610"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Dan Wang","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5007288942","display_name":"Boxi Cao","orcid":"https://orcid.org/0000-0001-9916-7406"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Boxi Cao","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5005361590","display_name":"Ning Bian","orcid":"https://orcid.org/0009-0005-6188-5433"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Ning Bian","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5071707350","display_name":"Xuanang Chen","orcid":"https://orcid.org/0000-0003-0377-8451"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Xuanang Chen","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103090910","display_name":"Yaojie Lu","orcid":"https://orcid.org/0000-0002-5842-7715"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Yaojie Lu","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5041809943","display_name":"Hongyu Lin","orcid":"https://orcid.org/0000-0001-7151-922X"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Hongyu Lin","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5072982736","display_name":"Jia Zheng","orcid":"https://orcid.org/0000-0002-4617-428X"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Jia Zheng","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5034536222","display_name":"Le Sun","orcid":"https://orcid.org/0000-0002-4221-0327"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Le Sun","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103049525","display_name":"Shanshan Jiang","orcid":"https://orcid.org/0000-0003-0668-1954"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Shanshan Jiang","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5035683291","display_name":"Bin Dong","orcid":"https://orcid.org/0000-0003-1295-3362"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Bin Dong","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5100620300","display_name":"Xianpei Han","orcid":"https://orcid.org/0000-0002-1304-6302"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Xianpei Han","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":null,"has_fulltext":true,"cited_by_count":0,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"8700","last_page":"8714"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10181","display_name":"Natural Language Processing Techniques","score":0.8906000256538391,"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/T10181","display_name":"Natural Language Processing Techniques","score":0.8906000256538391,"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":0.8809000253677368,"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":0.7111467123031616},{"id":"https://openalex.org/keywords/linguistics","display_name":"Linguistics","score":0.6594047546386719},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.5041357278823853},{"id":"https://openalex.org/keywords/language-model","display_name":"Language model","score":0.45109909772872925},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.35390934348106384},{"id":"https://openalex.org/keywords/philosophy","display_name":"Philosophy","score":0.0914158821105957}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7111467123031616},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.6594047546386719},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.5041357278823853},{"id":"https://openalex.org/C137293760","wikidata":"https://www.wikidata.org/wiki/Q3621696","display_name":"Language model","level":2,"score":0.45109909772872925},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.35390934348106384},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0914158821105957}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.18653/v1/2025.findings-acl.456","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/2025.findings-acl.456","pdf_url":"https://aclanthology.org/2025.findings-acl.456.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.456","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/2025.findings-acl.456","pdf_url":"https://aclanthology.org/2025.findings-acl.456.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":[{"display_name":"Reduced inequalities","id":"https://metadata.un.org/sdg/10","score":0.41999998688697815}],"awards":[],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4412888434.pdf","grobid_xml":"https://content.openalex.org/works/W4412888434.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":[1,84],"models":[2],"(LLMs)":[3],"have":[4,14],"demonstrated":[5],"remarkable":[6],"multilingual":[7,121],"abilities":[8],"in":[9,21,118],"various":[10],"applications.Unfortunately,":[11],"recent":[12],"studies":[13],"discovered":[15],"that":[16],"there":[17],"exist":[18],"notable":[19],"disparities":[20,32],"their":[22],"performance":[23],"across":[24,56],"different":[25,58,62],"languages.Understanding":[26],"the":[27,52,71,115,125],"underlying":[28],"mechanisms":[29],"behind":[30],"such":[31],"is":[33],"crucial":[34],"ensuring":[35],"equitable":[36],"access":[37],"to":[38,100,127],"LLMs":[39,55,119],"for":[40],"a":[41,48,66,107],"global":[42],"user":[43],"base.Therefore,":[44],"this":[45],"paper":[46],"conducts":[47],"systematic":[49],"investigation":[50],"into":[51],"behaviors":[53],"of":[54,73,110],"27":[57],"languages":[59,81,98],"on":[60,106],"3":[61],"scenarios,":[63],"and":[64,76,90,123],"reveals":[65],"Linguistic":[67],"Map":[68],"correlates":[69],"with":[70],"richness":[72],"available":[74],"resources":[75],"linguistic":[77],"family":[78,85],"relations.Specifically,":[79],"high-resource":[80],"within":[82,120],"specific":[83],"exhibit":[86],"greater":[87],"knowledge":[88],"consistency":[89],"mutual":[91],"information":[92],"dissemination,":[93],"while":[94],"isolated":[95],"or":[96],"low-resource":[97],"tend":[99],"remain":[101],"marginalized.Our":[102],"research":[103],"sheds":[104],"light":[105],"deep":[108],"understanding":[109],"LLM's":[111],"cross-language":[112],"behavior,":[113],"highlights":[114],"inherent":[116],"biases":[117],"environments":[122],"underscores":[124],"need":[126],"address":[128],"these":[129],"inequities.":[130]},"counts_by_year":[],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}