{"id":"https://openalex.org/W7126410531","doi":"https://doi.org/10.18653/v1/2024.findings-eacl.86","title":"Correcting Language Model Outputs by Editing Salient Layers","display_name":"Correcting Language Model Outputs by Editing Salient Layers","publication_year":2024,"publication_date":"2024-01-01","ids":{"openalex":"https://openalex.org/W7126410531","doi":"https://doi.org/10.18653/v1/2024.findings-eacl.86"},"language":null,"primary_location":{"id":"doi:10.18653/v1/2024.findings-eacl.86","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/2024.findings-eacl.86","pdf_url":"https://aclanthology.org/2024.findings-eacl.86.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: EACL 2024","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://aclanthology.org/2024.findings-eacl.86.pdf","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5124638447","display_name":"Kshitij Mishra","orcid":null},"institutions":[{"id":"https://openalex.org/I1311688040","display_name":"Amazon (United States)","ror":"https://ror.org/04mv4n011","country_code":"US","type":"company","lineage":["https://openalex.org/I1311688040"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Kshitij Mishra","raw_affiliation_strings":["Indian Institute of Technology Amazon Generative AI Center Amazon AGI Foundations Amazon AGI Foundations"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Indian Institute of Technology Amazon Generative AI Center Amazon AGI Foundations Amazon AGI Foundations","institution_ids":["https://openalex.org/I1311688040"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103166669","display_name":"Tamer Soliman","orcid":"https://orcid.org/0009-0004-9292-3941"},"institutions":[{"id":"https://openalex.org/I1311688040","display_name":"Amazon (United States)","ror":"https://ror.org/04mv4n011","country_code":"US","type":"company","lineage":["https://openalex.org/I1311688040"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Tamer Soliman","raw_affiliation_strings":["Indian Institute of Technology Amazon Generative AI Center Amazon AGI Foundations Amazon AGI Foundations"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Indian Institute of Technology Amazon Generative AI Center Amazon AGI Foundations Amazon AGI Foundations","institution_ids":["https://openalex.org/I1311688040"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5124470412","display_name":"Anil Ramakrishna","orcid":null},"institutions":[{"id":"https://openalex.org/I1311688040","display_name":"Amazon (United States)","ror":"https://ror.org/04mv4n011","country_code":"US","type":"company","lineage":["https://openalex.org/I1311688040"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Anil Ramakrishna","raw_affiliation_strings":["Indian Institute of Technology Amazon Generative AI Center Amazon AGI Foundations Amazon AGI Foundations"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Indian Institute of Technology Amazon Generative AI Center Amazon AGI Foundations Amazon AGI Foundations","institution_ids":["https://openalex.org/I1311688040"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101715504","display_name":"Aram Galstyan","orcid":"https://orcid.org/0000-0003-4215-0886"},"institutions":[{"id":"https://openalex.org/I1311688040","display_name":"Amazon (United States)","ror":"https://ror.org/04mv4n011","country_code":"US","type":"company","lineage":["https://openalex.org/I1311688040"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Aram Galstyan","raw_affiliation_strings":["Indian Institute of Technology Amazon Generative AI Center Amazon AGI Foundations Amazon AGI Foundations"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Indian Institute of Technology Amazon Generative AI Center Amazon AGI Foundations Amazon AGI Foundations","institution_ids":["https://openalex.org/I1311688040"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5108040058","display_name":"Anoop Kumar","orcid":"https://orcid.org/0000-0003-4617-0307"},"institutions":[{"id":"https://openalex.org/I1311688040","display_name":"Amazon (United States)","ror":"https://ror.org/04mv4n011","country_code":"US","type":"company","lineage":["https://openalex.org/I1311688040"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Anoop Kumar","raw_affiliation_strings":["Indian Institute of Technology Amazon Generative AI Center Amazon AGI Foundations Amazon AGI Foundations"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Indian Institute of Technology Amazon Generative AI Center Amazon AGI Foundations Amazon AGI Foundations","institution_ids":["https://openalex.org/I1311688040"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I1311688040"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":true,"cited_by_count":0,"citation_normalized_percentile":{"value":0.56973009,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1295","last_page":"1305"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10181","display_name":"Natural Language Processing Techniques","score":0.4975999891757965,"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":0.4975999891757965,"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/T11450","display_name":"Model-Driven Software Engineering Techniques","score":0.07079999893903732,"subfield":{"id":"https://openalex.org/subfields/1712","display_name":"Software"},"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/T12031","display_name":"Speech and dialogue systems","score":0.056299999356269836,"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/salient","display_name":"Salient","score":0.5525000095367432},{"id":"https://openalex.org/keywords/language-model","display_name":"Language model","score":0.447299987077713},{"id":"https://openalex.org/keywords/language-identification","display_name":"Language identification","score":0.36480000615119934},{"id":"https://openalex.org/keywords/natural-language","display_name":"Natural language","score":0.34130001068115234},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.3197000026702881}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7045999765396118},{"id":"https://openalex.org/C2780719617","wikidata":"https://www.wikidata.org/wiki/Q1030752","display_name":"Salient","level":2,"score":0.5525000095367432},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.5418000221252441},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.52920001745224},{"id":"https://openalex.org/C137293760","wikidata":"https://www.wikidata.org/wiki/Q3621696","display_name":"Language model","level":2,"score":0.447299987077713},{"id":"https://openalex.org/C129792486","wikidata":"https://www.wikidata.org/wiki/Q1050419","display_name":"Language identification","level":3,"score":0.36480000615119934},{"id":"https://openalex.org/C195324797","wikidata":"https://www.wikidata.org/wiki/Q33742","display_name":"Natural language","level":2,"score":0.34130001068115234},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.3197000026702881},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.3167000114917755},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.28540000319480896},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.2694999873638153},{"id":"https://openalex.org/C2778751112","wikidata":"https://www.wikidata.org/wiki/Q835016","display_name":"Window (computing)","level":2,"score":0.25040000677108765}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.18653/v1/2024.findings-eacl.86","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/2024.findings-eacl.86","pdf_url":"https://aclanthology.org/2024.findings-eacl.86.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: EACL 2024","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.18653/v1/2024.findings-eacl.86","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/2024.findings-eacl.86","pdf_url":"https://aclanthology.org/2024.findings-eacl.86.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: EACL 2024","raw_type":"proceedings-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W7126410531.pdf","grobid_xml":"https://content.openalex.org/works/W7126410531.grobid-xml"},"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"Large":[0],"language":[1,115],"models":[2],"can":[3],"accumulate":[4],"incorrect":[5],"or":[6,51],"outdated":[7],"knowledge":[8,50,112],"as":[9,18,59],"the":[10,80,94,110],"real":[11],"world":[12],"evolves.Compared":[13],"to":[14,32,109],"typical":[15],"solutions":[16],"such":[17,58],"retraining,":[19],"retrieval":[20],"augmented":[21],"generation,":[22],"model":[23,37,81],"editing":[24,38,82],"offers":[25],"an":[26,71],"effective":[27],"yet":[28],"low":[29],"cost":[30],"solution":[31,73,84],"address":[33],"this":[34,62],"issue.However,":[35],"existing":[36],"algorithms":[39],"employ":[40],"manual":[41],"selection":[42,56,78],"of":[43,96,103],"edit":[44],"layers,":[45],"which":[46],"requires":[47],"prior":[48,97],"domain":[49],"expensive":[52],"architecturespecific":[53],"empirical":[54],"layer":[55,77,90],"methods,":[57],"causal":[60],"tracing.In":[61],"work,":[63],"we":[64],"propose":[65],"SaLEM":[66],"(Salient":[67],"Layers":[68],"Editing":[69],"Model),":[70],"efficient":[72,107],"for":[74,79,89],"data":[75],"driven":[76],"task.Our":[83],"utilizes":[85],"layer-wise":[86],"saliency":[87],"maps":[88],"selection,":[91],"and":[92],"matches":[93],"accuracy":[95],"approaches":[98],"but":[99],"with":[100],"only":[101],"1/3":[102],"their":[104],"edits,":[105],"enabling":[106],"updates":[108],"parametric":[111],"in":[113],"large":[114],"models.":[116]},"counts_by_year":[],"updated_date":"2026-06-26T08:34:08.712188","created_date":"2026-02-02T00:00:00"}