{"id":"https://openalex.org/W7140074690","doi":"https://doi.org/10.18653/v1/2026.eacl-long.98","title":"Layer-wise Swapping for Generalizable Multilingual Safety","display_name":"Layer-wise Swapping for Generalizable Multilingual Safety","publication_year":2026,"publication_date":"2026-01-01","ids":{"openalex":"https://openalex.org/W7140074690","doi":"https://doi.org/10.18653/v1/2026.eacl-long.98"},"language":null,"primary_location":{"id":"doi:10.18653/v1/2026.eacl-long.98","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/2026.eacl-long.98","pdf_url":"https://aclanthology.org/2026.eacl-long.98.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":"Proceedings of the 19th Conference of the European Chapter of the Association for Computational Linguistics (Volume 1: Long Papers)","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://aclanthology.org/2026.eacl-long.98.pdf","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":null,"display_name":"Hyunseo Shin","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Hyunseo Shin","raw_affiliation_strings":["University of Seoul University of Seoul"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Seoul University of Seoul","institution_ids":[]}]},{"author_position":"last","author":{"id":null,"display_name":"Wonseok Hwang","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Wonseok Hwang","raw_affiliation_strings":["University of Seoul University of Seoul"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Seoul University of Seoul","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":true,"cited_by_count":0,"citation_normalized_percentile":{"value":0.39142045,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"2223","last_page":"2238"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11689","display_name":"Adversarial Robustness in Machine Learning","score":0.13729999959468842,"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/T11689","display_name":"Adversarial Robustness in Machine Learning","score":0.13729999959468842,"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/T10237","display_name":"Cryptography and Data Security","score":0.08500000089406967,"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/T10720","display_name":"Complexity and Algorithms in Graphs","score":0.05739999935030937,"subfield":{"id":"https://openalex.org/subfields/1703","display_name":"Computational Theory and Mathematics"},"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/action","display_name":"Action (physics)","score":0.29420000314712524},{"id":"https://openalex.org/keywords/identification","display_name":"Identification (biology)","score":0.29319998621940613},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.2863999903202057},{"id":"https://openalex.org/keywords/key","display_name":"Key (lock)","score":0.28060001134872437},{"id":"https://openalex.org/keywords/matching","display_name":"Matching (statistics)","score":0.24969999492168427}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5637999773025513},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.30329999327659607},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.2962999939918518},{"id":"https://openalex.org/C2780791683","wikidata":"https://www.wikidata.org/wiki/Q846785","display_name":"Action (physics)","level":2,"score":0.29420000314712524},{"id":"https://openalex.org/C116834253","wikidata":"https://www.wikidata.org/wiki/Q2039217","display_name":"Identification (biology)","level":2,"score":0.29319998621940613},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.2863999903202057},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.28060001134872437},{"id":"https://openalex.org/C165064840","wikidata":"https://www.wikidata.org/wiki/Q1321061","display_name":"Matching (statistics)","level":2,"score":0.24969999492168427},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.24629999697208405},{"id":"https://openalex.org/C9652623","wikidata":"https://www.wikidata.org/wiki/Q190109","display_name":"Field (mathematics)","level":2,"score":0.24070000648498535}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.18653/v1/2026.eacl-long.98","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/2026.eacl-long.98","pdf_url":"https://aclanthology.org/2026.eacl-long.98.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":"Proceedings of the 19th Conference of the European Chapter of the Association for Computational Linguistics (Volume 1: Long Papers)","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.18653/v1/2026.eacl-long.98","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/2026.eacl-long.98","pdf_url":"https://aclanthology.org/2026.eacl-long.98.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":"Proceedings of the 19th Conference of the European Chapter of the Association for Computational Linguistics (Volume 1: Long Papers)","raw_type":"proceedings-article"},"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320320671","display_name":"National Research Foundation","ror":"https://ror.org/05s0g1g46"},{"id":"https://openalex.org/F4320322120","display_name":"National Research Foundation of Korea","ror":"https://ror.org/013aysd81"},{"id":"https://openalex.org/F4320328359","display_name":"Ministry of Science and ICT, South Korea","ror":"https://ror.org/01wpjm123"}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W7140074690.pdf","grobid_xml":"https://content.openalex.org/works/W7140074690.grobid-xml"},"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"Despite":[0],"the":[1,102,108,115,136],"rapid":[2],"advancements":[3],"of":[4,88],"Large":[5],"Language":[6],"Models":[7],"(LLMs),":[8],"safety":[9,18,27,60,65,100,138],"risks":[10],"remain":[11],"a":[12,29,53],"critical":[13],"challenge":[14],"for":[15],"low-resource":[16,31,68],"languages.Existing":[17],"datasets":[19],"are":[20],"predominantly":[21],"English-centric,":[22],"limiting":[23],"progress":[24],"in":[25,101],"multilingual":[26],"alignment.As":[28],"result,":[30],"expert":[32,66,117],"models-fine-tuned":[33],"on":[34,85,93,118,135],"their":[35,46,86],"respective":[36],"instruction":[37],"datasets-tend":[38],"to":[39,45,67,114],"exhibit":[40],"higher":[41],"unsafety":[42],"rates":[43],"compared":[44],"high-resource":[47],"counterparts.In":[48],"this":[49],"work,":[50],"we":[51],"propose":[52],"safetyaware":[54],"layer":[55],"swapping":[56],"method":[57,78,110],"that":[58,107],"transfers":[59],"alignment":[61],"from":[62],"an":[63],"English":[64],"language":[69,95,116],"experts":[70],"without":[71],"additional":[72],"training.To":[73],"further":[74],"enhance":[75],"transferability,":[76],"our":[77],"adaptively":[79],"selects":[80],"or":[81],"blends":[82],"modules":[83],"based":[84],"degree":[87],"specialization.Our":[89],"approach":[90],"preserves":[91],"performance":[92,113],"general":[94,119],"understanding":[96],"tasks":[97],"while":[98,127],"enhancing":[99],"target":[103],"languages.Experimental":[104],"results":[105],"show":[106],"proposed":[109],"achieves":[111],"comparable":[112],"benchmarks":[120],"such":[121],"as":[122],"MMMLU,":[123],"BELEBELE,":[124],"and":[125,131],"MGSM,":[126],"producing":[128],"more":[129],"aligned":[130],"less":[132],"harmful":[133],"responses":[134],"MultiJail":[137],"benchmark.":[139],"1":[140]},"counts_by_year":[],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2026-02-04T00:00:00"}
