{"id":"https://openalex.org/W7133344686","doi":"https://doi.org/10.48550/arxiv.2603.00823","title":"A Comprehensive Evaluation of LLM Unlearning Robustness under Multi-Turn Interaction","display_name":"A Comprehensive Evaluation of LLM Unlearning Robustness under Multi-Turn Interaction","publication_year":2026,"publication_date":"2026-02-28","ids":{"openalex":"https://openalex.org/W7133344686","doi":"https://doi.org/10.48550/arxiv.2603.00823"},"language":null,"primary_location":{"id":"doi:10.48550/arxiv.2603.00823","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2603.00823","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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Preprint"},"type":"preprint","indexed_in":["datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://doi.org/10.48550/arxiv.2603.00823","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5025696045","display_name":"Ruihao Pan","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Pan, Ruihao","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5128006185","display_name":"Suhang Wang","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Wang, Suhang","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":false,"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":0.3224000036716461,"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":0.3224000036716461,"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/T11714","display_name":"Multimodal Machine Learning Applications","score":0.17679999768733978,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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/T11636","display_name":"Artificial Intelligence in Healthcare and Education","score":0.11159999668598175,"subfield":{"id":"https://openalex.org/subfields/2718","display_name":"Health Informatics"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/forgetting","display_name":"Forgetting","score":0.8019000291824341},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.7261000275611877},{"id":"https://openalex.org/keywords/retraining","display_name":"Retraining","score":0.6520000100135803},{"id":"https://openalex.org/keywords/rigidity","display_name":"Rigidity (electromagnetism)","score":0.24130000174045563}],"concepts":[{"id":"https://openalex.org/C7149132","wikidata":"https://www.wikidata.org/wiki/Q1377840","display_name":"Forgetting","level":2,"score":0.8019000291824341},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.7261000275611877},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6732000112533569},{"id":"https://openalex.org/C2778712577","wikidata":"https://www.wikidata.org/wiki/Q3505966","display_name":"Retraining","level":2,"score":0.6520000100135803},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5062000155448914},{"id":"https://openalex.org/C107457646","wikidata":"https://www.wikidata.org/wiki/Q207434","display_name":"Human\u2013computer interaction","level":1,"score":0.366100013256073},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3630000054836273},{"id":"https://openalex.org/C180747234","wikidata":"https://www.wikidata.org/wiki/Q23373","display_name":"Cognitive psychology","level":1,"score":0.2809000015258789},{"id":"https://openalex.org/C160343418","wikidata":"https://www.wikidata.org/wiki/Q185256","display_name":"Rigidity (electromagnetism)","level":2,"score":0.24130000174045563},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.2281000018119812}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.48550/arxiv.2603.00823","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2603.00823","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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"Preprint"}],"best_oa_location":{"id":"doi:10.48550/arxiv.2603.00823","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2603.00823","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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Preprint"},"sustainable_development_goals":[{"score":0.6916072368621826,"display_name":"Peace, Justice and strong institutions","id":"https://metadata.un.org/sdg/16"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"Machine":[0],"unlearning":[1,39,58,91],"aims":[2],"to":[3,28],"remove":[4],"the":[5,118],"influence":[6],"of":[7],"specific":[8],"training":[9],"data":[10],"from":[11,16],"pre-trained":[12],"models":[13,25],"without":[14],"retraining":[15],"scratch,":[17],"and":[18,31,71,116],"is":[19],"increasingly":[20],"important":[21],"for":[22,120],"large":[23],"language":[24],"(LLMs)":[26],"due":[27],"safety,":[29],"privacy,":[30],"legal":[32],"concerns.":[33],"Although":[34,89],"prior":[35],"work":[36],"primarily":[37],"evaluates":[38],"in":[40,61,80,98],"static,":[41],"single-turn":[42],"settings,":[43],"forgetting":[44,123],"robustness":[45],"under":[46,124],"realistic":[47],"interactive":[48,62,125],"use":[49],"remains":[50,59],"underexplored.":[51],"In":[52],"this":[53],"paper,":[54],"we":[55],"study":[56],"whether":[57],"stable":[60,122],"environments":[63],"by":[64],"examining":[65],"two":[66],"common":[67],"interaction":[68],"patterns:":[69],"self-correction":[70],"dialogue-conditioned":[72],"querying.":[73],"We":[74],"find":[75],"that":[76,109],"knowledge":[77,104],"appearing":[78],"forgotten":[79],"static":[81,110],"evaluation":[82,111],"can":[83],"often":[84,96],"be":[85],"recovered":[86],"through":[87],"interaction.":[88],"stronger":[90],"improves":[92],"apparent":[93],"robustness,":[94],"it":[95],"results":[97],"behavioral":[99],"rigidity":[100],"rather":[101],"than":[102],"genuine":[103],"erasure.":[105],"Our":[106],"findings":[107],"suggest":[108],"may":[112],"overestimate":[113],"real-world":[114],"effectiveness":[115],"highlight":[117],"need":[119],"ensuring":[121],"settings.":[126]},"counts_by_year":[],"updated_date":"2026-07-28T07:46:37.118299","created_date":"2026-03-04T00:00:00"}
