{"id":"https://openalex.org/W4391011371","doi":"https://doi.org/10.48550/arxiv.2401.07544","title":"See the Unseen: Better Context-Consistent Knowledge-Editing by Noises","display_name":"See the Unseen: Better Context-Consistent Knowledge-Editing by Noises","publication_year":2024,"publication_date":"2024-01-15","ids":{"openalex":"https://openalex.org/W4391011371","doi":"https://doi.org/10.48550/arxiv.2401.07544"},"language":"en","primary_location":{"id":"pmh:oai:arXiv.org:2401.07544","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2401.07544","pdf_url":"https://arxiv.org/pdf/2401.07544","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,"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":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},"type":"preprint","indexed_in":["arxiv","datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/2401.07544","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5053236889","display_name":"Youcheng Huang","orcid":"https://orcid.org/0000-0002-0888-5881"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Huang, Youcheng","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5039239180","display_name":"Wenqiang Lei","orcid":"https://orcid.org/0000-0001-6540-0601"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Lei, Wenqiang","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100459130","display_name":"Zheng Zhang","orcid":"https://orcid.org/0000-0002-6277-0305"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Zhang, Zheng","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5073535763","display_name":"Jiancheng Lv","orcid":"https://orcid.org/0000-0001-6551-3884"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Lv, Jiancheng","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5100381753","display_name":"Shuicheng Yan","orcid":"https://orcid.org/0000-0001-8906-3777"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Yan, Shuicheng","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":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10028","display_name":"Topic Modeling","score":0.9993000030517578,"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":0.9993000030517578,"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":0.9948999881744385,"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/T12026","display_name":"Explainable Artificial Intelligence (XAI)","score":0.9854999780654907,"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/generalization","display_name":"Generalization","score":0.6900448799133301},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.6242458820343018},{"id":"https://openalex.org/keywords/interpretability","display_name":"Interpretability","score":0.5839067697525024},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.38861849904060364},{"id":"https://openalex.org/keywords/cognitive-psychology","display_name":"Cognitive psychology","score":0.36483633518218994},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.31372934579849243},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.3056544065475464},{"id":"https://openalex.org/keywords/epistemology","display_name":"Epistemology","score":0.1651587188243866},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.13457494974136353}],"concepts":[{"id":"https://openalex.org/C177148314","wikidata":"https://www.wikidata.org/wiki/Q170084","display_name":"Generalization","level":2,"score":0.6900448799133301},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.6242458820343018},{"id":"https://openalex.org/C2781067378","wikidata":"https://www.wikidata.org/wiki/Q17027399","display_name":"Interpretability","level":2,"score":0.5839067697525024},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.38861849904060364},{"id":"https://openalex.org/C180747234","wikidata":"https://www.wikidata.org/wiki/Q23373","display_name":"Cognitive psychology","level":1,"score":0.36483633518218994},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.31372934579849243},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.3056544065475464},{"id":"https://openalex.org/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","level":1,"score":0.1651587188243866},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.13457494974136353},{"id":"https://openalex.org/C166957645","wikidata":"https://www.wikidata.org/wiki/Q23498","display_name":"Archaeology","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"pmh:oai:arXiv.org:2401.07544","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2401.07544","pdf_url":"https://arxiv.org/pdf/2401.07544","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,"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":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},{"id":"doi:10.48550/arxiv.2401.07544","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2401.07544","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,"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":null,"raw_source_name":null,"raw_type":"Preprint"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:2401.07544","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2401.07544","pdf_url":"https://arxiv.org/pdf/2401.07544","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,"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":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/4","display_name":"Quality Education","score":0.7699999809265137}],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":false},"content_urls":{"pdf":"https://content.openalex.org/works/W4391011371.pdf"},"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W2905433371","https://openalex.org/W4390569940","https://openalex.org/W2888392564","https://openalex.org/W4310278675","https://openalex.org/W4388422664","https://openalex.org/W2806259446","https://openalex.org/W4361193272","https://openalex.org/W2963326959","https://openalex.org/W4312407344","https://openalex.org/W2894289927"],"abstract_inverted_index":{"Knowledge-editing":[0],"updates":[1],"knowledge":[2,18,27,59,92],"of":[3,15,50,73,109,120],"large":[4],"language":[5],"models":[6],"(LLMs)":[7],"and":[8,13,36,112],"contributes":[9],"to":[10,69],"the":[11,25,37,48,57,71,86,90,98,107,118],"interpretability":[12],"application":[14],"LLMs.":[16,78],"However,":[17],"applying":[19],"is":[20],"context-consistent:":[21],"LLMs":[22,54,84,105,122],"can":[23,82],"recall":[24],"same":[26,58],"in":[28,55],"different":[29,51,74],"contexts.":[30],"Existing":[31],"works":[32],"ignore":[33],"this":[34,42],"property":[35],"editing":[38,99],"lacks":[39],"generalization.":[40,100],"In":[41],"paper,":[43],"we":[44,81],"empirically":[45],"find":[46],"that":[47],"effects":[49,72],"contexts":[52,75,88],"upon":[53],"recalling":[56],"follow":[60],"a":[61],"Gaussian-like":[62],"distribution.":[63],"We":[64],"then":[65],"sample":[66],"Gaussian":[67],"noises":[68],"simulate":[70],"when":[76],"updating":[77],"By":[79],"such,":[80],"make":[83],"see":[85],"unseen":[87],"where":[89],"edited":[91],"will":[93],"be":[94],"applied,":[95],"therefore":[96],"improving":[97],"Experimental":[101],"results":[102],"on":[103],"three":[104],"demonstrate":[106],"effectiveness":[108],"our":[110,115],"methods":[111,116],"also":[113],"distinguish":[114],"from":[117],"others":[119],"fine-tuning":[121],"by":[123],"noises.":[124]},"counts_by_year":[],"updated_date":"2026-08-11T07:18:39.950985","created_date":"2025-10-10T00:00:00"}
