{"id":"https://openalex.org/W4404780994","doi":"https://doi.org/10.18653/v1/2024.findings-emnlp.701","title":"Cross-Lingual Multi-Hop Knowledge Editing","display_name":"Cross-Lingual Multi-Hop Knowledge Editing","publication_year":2024,"publication_date":"2024-01-01","ids":{"openalex":"https://openalex.org/W4404780994","doi":"https://doi.org/10.18653/v1/2024.findings-emnlp.701"},"language":"en","primary_location":{"id":"doi:10.18653/v1/2024.findings-emnlp.701","doi":"https://doi.org/10.18653/v1/2024.findings-emnlp.701","is_oa":true,"landing_page_url":"http://dx.doi.org/10.18653/v1/2024.findings-emnlp.701","pdf_url":"https://aclanthology.org/2024.findings-emnlp.701.pdf","source":{"id":"https://openalex.org/S7407096085","display_name":"Findings of the Association for Computational Linguistics: EMNLP (Findings of EMNLP)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/P4310320244","host_organization_name":"Association for Computational Linguistics","host_organization_lineage":["https://openalex.org/P4310320244"],"host_organization_lineage_names":["Association for Computational Linguistics"],"type":"conference"},"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: EMNLP 2024","raw_type":"proceedings-article"},"volume":null,"type":"conference-paper","is_traditional":true,"indexed_in":["arxiv","crossref","datacite"],"open_access":{"is_oa":true,"oa_status":"hybrid","oa_url":"https://aclanthology.org/2024.findings-emnlp.701.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":null,"display_name":"Aditi Khandelwal","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I114027177","display_name":"University of North Carolina at Chapel Hill","ror":"https://ror.org/0130frc33","country_code":"US","type":"education","lineage":["https://openalex.org/I114027177"]},{"id":"https://openalex.org/I4210164802","display_name":"Mila - Quebec Artificial Intelligence Institute","ror":"https://ror.org/05c22rx21","country_code":"CA","type":"facility","lineage":["https://openalex.org/I4210164802"]}],"countries":["CA","US"],"is_corresponding":false,"raw_author_name":"Aditi Khandelwal","raw_affiliation_strings":["MILA -Quebec AI Institute , 2 Microsoft , 3 UNC Chapel Hill ,"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"MILA -Quebec AI Institute , 2 Microsoft , 3 UNC Chapel Hill ,","institution_ids":["https://openalex.org/I114027177","https://openalex.org/I4210164802"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Harman Singh","orcid":null,"observed_orcids":[]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Harman Singh","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101084898","display_name":"Hengrui Gu","orcid":"https://orcid.org/0009-0002-3027-4478","observed_orcids":["https://orcid.org/0009-0002-3027-4478"]},"institutions":[{"id":"https://openalex.org/I137902535","display_name":"North Carolina State University","ror":"https://ror.org/04tj63d06","country_code":"US","type":"education","lineage":["https://openalex.org/I137902535"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Hengrui Gu","raw_affiliation_strings":["North Carolina State University ,"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"North Carolina State University ,","institution_ids":["https://openalex.org/I137902535"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103073431","display_name":"Tianlong Chen","orcid":"https://orcid.org/0000-0001-7774-8197","observed_orcids":["https://orcid.org/0000-0001-7774-8197","https://orcid.org/0000-0001-5588-717X"]},"institutions":[{"id":"https://openalex.org/I63966007","display_name":"Massachusetts Institute of Technology","ror":"https://ror.org/042nb2s44","country_code":"US","type":"education","lineage":["https://openalex.org/I63966007"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Tianlong Chen","raw_affiliation_strings":["Massachusetts Institute of Technology"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Massachusetts Institute of Technology","institution_ids":["https://openalex.org/I63966007"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5071607114","display_name":"Kaixiong Zhou","orcid":"https://orcid.org/0000-0001-5226-8736","observed_orcids":["https://orcid.org/0000-0001-5226-8736"]},"institutions":[{"id":"https://openalex.org/I137902535","display_name":"North Carolina State University","ror":"https://ror.org/04tj63d06","country_code":"US","type":"education","lineage":["https://openalex.org/I137902535"]},{"id":"https://openalex.org/I63966007","display_name":"Massachusetts Institute of Technology","ror":"https://ror.org/042nb2s44","country_code":"US","type":"education","lineage":["https://openalex.org/I63966007"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Kaixiong Zhou","raw_affiliation_strings":["Massachusetts Institute of Technology","North Carolina State University ,"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Massachusetts Institute of Technology","institution_ids":["https://openalex.org/I63966007"]},{"raw_affiliation_string":"North Carolina State University ,","institution_ids":["https://openalex.org/I137902535"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.7635,"has_fulltext":true,"cited_by_count":5,"citation_normalized_percentile":{"value":0.73743972,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"11995","last_page":"12015"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10028","display_name":"Topic Modeling","score":0.9740999937057495,"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":0.9740999937057495,"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":0.008799999952316284,"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/T10286","display_name":"Information Retrieval and Search Behavior","score":0.003700000001117587,"subfield":{"id":"https://openalex.org/subfields/1710","display_name":"Information Systems"},"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/large-language-models","display_name":"large language models","score":0.8899999856948853},{"id":"https://openalex.org/keywords/knowledge-updating","display_name":"knowledge updating","score":0.48100000619888306},{"id":"https://openalex.org/keywords/fact-retrieval","display_name":"fact retrieval","score":0.7789999842643738},{"id":"https://openalex.org/keywords/fact-checking","display_name":"fact-checking","score":0.9539999961853027}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.697253942489624},{"id":"https://openalex.org/C25906391","wikidata":"https://www.wikidata.org/wiki/Q1432381","display_name":"Hop (telecommunications)","level":2,"score":0.5392810702323914},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.23792782425880432}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.18653/v1/2024.findings-emnlp.701","doi":"https://doi.org/10.18653/v1/2024.findings-emnlp.701","is_oa":true,"landing_page_url":"http://dx.doi.org/10.18653/v1/2024.findings-emnlp.701","pdf_url":"https://aclanthology.org/2024.findings-emnlp.701.pdf","source":{"id":"https://openalex.org/S7407096085","display_name":"Findings of the Association for Computational Linguistics: EMNLP (Findings of EMNLP)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/P4310320244","host_organization_name":"Association for Computational Linguistics","host_organization_lineage":["https://openalex.org/P4310320244"],"host_organization_lineage_names":["Association for Computational Linguistics"],"type":"conference"},"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: EMNLP 2024","raw_type":"proceedings-article"},{"id":"pmh:oai:arXiv.org:2407.10275","doi":null,"is_oa":true,"landing_page_url":"http://arxiv.org/abs/2407.10275","pdf_url":"https://arxiv.org/pdf/2407.10275","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,"listed_in":[],"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-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},{"id":"doi:10.48550/arxiv.2407.10275","doi":"https://doi.org/10.48550/arxiv.2407.10275","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2407.10275","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,"listed_in":[],"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":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Preprint"}],"best_oa_location":{"id":"doi:10.18653/v1/2024.findings-emnlp.701","doi":"https://doi.org/10.18653/v1/2024.findings-emnlp.701","is_oa":true,"landing_page_url":"http://dx.doi.org/10.18653/v1/2024.findings-emnlp.701","pdf_url":"https://aclanthology.org/2024.findings-emnlp.701.pdf","source":{"id":"https://openalex.org/S7407096085","display_name":"Findings of the Association for Computational Linguistics: EMNLP (Findings of EMNLP)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/P4310320244","host_organization_name":"Association for Computational Linguistics","host_organization_lineage":["https://openalex.org/P4310320244"],"host_organization_lineage_names":["Association for Computational Linguistics"],"type":"conference"},"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: EMNLP 2024","raw_type":"proceedings-article"},"sustainable_development_goals":[],"study_designs":[],"awards":[{"id":"https://openalex.org/G1744092893","display_name":"Collaborative Research: CISE MSI: RDP: III: Towards Robust and Human-Aligned Deep Learning for Medical-Sensor Time Series","funder_award_id":"2431516","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"}],"funders":[{"id":"https://openalex.org/F4320306076","display_name":"National Science Foundation","ror":"https://ror.org/021nxhr62"}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4404780994.pdf","grobid_xml":"https://content.openalex.org/works/W4404780994.grobid-xml"},"referenced_works_count":4,"referenced_works":["https://openalex.org/W4313304293","https://openalex.org/W4322718191","https://openalex.org/W4362598605","https://openalex.org/W4389520103"],"related_works":["https://openalex.org/W4402671589","https://openalex.org/W4394672258","https://openalex.org/W7140129144","https://openalex.org/W4412944709","https://openalex.org/W4402667097","https://openalex.org/W4399795243","https://openalex.org/W4416036198","https://openalex.org/W6903066260","https://openalex.org/W4412888470","https://openalex.org/W4400264092"],"abstract_inverted_index":{"Large":[0],"language":[1,46],"models":[2],"are":[3,193],"often":[4],"expected":[5],"to":[6,9,19,136,144,146,186],"constantly":[7],"adapt":[8],"new":[10,40],"sources":[11],"of":[12,50,66,184],"knowledge":[13,15,34,69,86,93,117,128,147],"and":[14,62,104,126,140,151,160,164,177,191],"editing":[16,35,70,87,94,129],"techniques":[17,71,95],"aim":[18],"efficiently":[20],"patch":[21],"the":[22,51,54,64,85,102,158],"outdated":[23],"model":[24],"knowledge,":[25],"with":[26],"minimal":[27],"modification.Most":[28],"prior":[29,189],"works":[30],"focus":[31],"on":[32,122,172],"monolingual":[33],"in":[36,44,72,99,168],"English,":[37],"even":[38],"though":[39],"information":[41],"can":[42],"emerge":[43],"any":[45,48],"from":[47],"part":[49],"world.We":[52],"propose":[53,109],"Cross-Lingual":[55],"Multi-Hop":[56],"Knowledge":[57],"Editing":[58],"paradigm,":[59],"for":[60,83,114,156],"measuring":[61,84],"analyzing":[63],"performance":[65,100],"various":[67,92],"SoTA":[68],"a":[73,78,110,123,132],"crosslingual":[74,103,159],"setup.Specifically,":[75],"we":[76,108],"create":[77],"parallel":[79],"cross-lingual":[80,115],"benchmark,":[81],"CROLIN-MQUAKE":[82],"capabilities.Our":[88],"extensive":[89],"analysis":[90],"over":[91,188],"uncover":[96],"significant":[97,182],"gaps":[98],"between":[101],"English-centric":[105],"setting.Following":[106],"this,":[107],"significantly":[111],"improved":[112],"system":[113],"multi-hop":[116],"editing,":[118],"CLEVER-CKE.CLEVER-CKE":[119],"is":[120,134],"based":[121,153],"retrieve,":[124],"verify":[125],"generate":[127],"framework,":[130],"where":[131],"retriever":[133],"formulated":[135],"recall":[137],"edited":[138],"facts":[139],"support":[141],"an":[142],"LLM":[143],"adhere":[145],"edits.We":[148],"develop":[149],"language-aware":[150],"hard-negative":[152],"contrastive":[154],"objectives":[155],"improving":[157],"fine-grained":[161],"fact":[162],"retrieval":[163],"verification":[165],"process":[166],"used":[167],"this":[169],"framework.Extensive":[170],"experiments":[171],"three":[173],"LLMs,":[174],"eight":[175],"languages,":[176],"two":[178],"datasets":[179],"show":[180],"CLEVER-CKE's":[181],"gains":[183],"up":[185],"30%":[187],"methods.Code":[190],"data":[192],"released":[194],"at":[195],"https://github.com/HarmanDotpy/CroLin":[196]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":2}],"updated_date":"2026-11-07T11:25:07.637180","created_date":"2024-11-28T00:00:00"}