{"id":"https://openalex.org/W7140143024","doi":"https://doi.org/10.48550/arxiv.2603.19302","title":"Parameter-Efficient Token Embedding Editing for Clinical Class-Level Unlearning","display_name":"Parameter-Efficient Token Embedding Editing for Clinical Class-Level Unlearning","publication_year":2026,"publication_date":"2026-03-11","ids":{"openalex":"https://openalex.org/W7140143024","doi":"https://doi.org/10.48550/arxiv.2603.19302"},"language":null,"primary_location":{"id":"doi:10.48550/arxiv.2603.19302","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2603.19302","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"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":"article"},"type":"preprint","indexed_in":["datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://doi.org/10.48550/arxiv.2603.19302","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5130348450","display_name":"Iyad Ait Hou","orcid":null},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Hou, Iyad Ait","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5116619411","display_name":"Shrenik Borad","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Borad, Shrenik","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5130386798","display_name":"Harsh Sharma","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Sharma, Harsh","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5070597272","display_name":"Pooja Srinivasan","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Srinivasan, Pooja","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5070135550","display_name":"Rebecca Hwa","orcid":"https://orcid.org/0000-0003-1158-7014"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Hwa, Rebecca","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5130395375","display_name":"Aya Zirikly","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Zirikly, Aya","raw_affiliation_strings":[],"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5130348450"],"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/T13702","display_name":"Machine Learning in Healthcare","score":0.40450000762939453,"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/T13702","display_name":"Machine Learning in Healthcare","score":0.40450000762939453,"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/T11636","display_name":"Artificial Intelligence in Healthcare and Education","score":0.10450000315904617,"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"}},{"id":"https://openalex.org/T11689","display_name":"Adversarial Robustness in Machine Learning","score":0.0934000015258789,"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/security-token","display_name":"Security token","score":0.7983999848365784},{"id":"https://openalex.org/keywords/embedding","display_name":"Embedding","score":0.7063000202178955},{"id":"https://openalex.org/keywords/forgetting","display_name":"Forgetting","score":0.6557000279426575},{"id":"https://openalex.org/keywords/retraining","display_name":"Retraining","score":0.6492999792098999},{"id":"https://openalex.org/keywords/encoder","display_name":"Encoder","score":0.5406000018119812},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.5020999908447266},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.42980000376701355},{"id":"https://openalex.org/keywords/grasp","display_name":"GRASP","score":0.33309999108314514}],"concepts":[{"id":"https://openalex.org/C48145219","wikidata":"https://www.wikidata.org/wiki/Q1335365","display_name":"Security token","level":2,"score":0.7983999848365784},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7538999915122986},{"id":"https://openalex.org/C41608201","wikidata":"https://www.wikidata.org/wiki/Q980509","display_name":"Embedding","level":2,"score":0.7063000202178955},{"id":"https://openalex.org/C7149132","wikidata":"https://www.wikidata.org/wiki/Q1377840","display_name":"Forgetting","level":2,"score":0.6557000279426575},{"id":"https://openalex.org/C2778712577","wikidata":"https://www.wikidata.org/wiki/Q3505966","display_name":"Retraining","level":2,"score":0.6492999792098999},{"id":"https://openalex.org/C118505674","wikidata":"https://www.wikidata.org/wiki/Q42586063","display_name":"Encoder","level":2,"score":0.5406000018119812},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5246999859809875},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.5020999908447266},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.42980000376701355},{"id":"https://openalex.org/C171268870","wikidata":"https://www.wikidata.org/wiki/Q1486676","display_name":"GRASP","level":2,"score":0.33309999108314514},{"id":"https://openalex.org/C175154964","wikidata":"https://www.wikidata.org/wiki/Q380077","display_name":"Task analysis","level":3,"score":0.3192000091075897},{"id":"https://openalex.org/C107457646","wikidata":"https://www.wikidata.org/wiki/Q207434","display_name":"Human\u2013computer interaction","level":1,"score":0.3107999861240387},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.299699991941452},{"id":"https://openalex.org/C2776145597","wikidata":"https://www.wikidata.org/wiki/Q25339462","display_name":"Dropout (neural networks)","level":2,"score":0.27889999747276306},{"id":"https://openalex.org/C95012187","wikidata":"https://www.wikidata.org/wiki/Q6917862","display_name":"Motivated forgetting","level":3,"score":0.2770000100135803},{"id":"https://openalex.org/C137293760","wikidata":"https://www.wikidata.org/wiki/Q3621696","display_name":"Language model","level":2,"score":0.2759000062942505},{"id":"https://openalex.org/C55803922","wikidata":"https://www.wikidata.org/wiki/Q1755472","display_name":"SBus","level":4,"score":0.274399995803833},{"id":"https://openalex.org/C87868495","wikidata":"https://www.wikidata.org/wiki/Q750843","display_name":"Information processing","level":2,"score":0.2727999985218048},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.2709999978542328},{"id":"https://openalex.org/C2777212361","wikidata":"https://www.wikidata.org/wiki/Q5127848","display_name":"Class (philosophy)","level":2,"score":0.2621999979019165},{"id":"https://openalex.org/C2988416141","wikidata":"https://www.wikidata.org/wiki/Q6031139","display_name":"Information loss","level":2,"score":0.2621000111103058},{"id":"https://openalex.org/C137822555","wikidata":"https://www.wikidata.org/wiki/Q2587068","display_name":"Information sensitivity","level":2,"score":0.25679999589920044}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.48550/arxiv.2603.19302","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2603.19302","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"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":"article"}],"best_oa_location":{"id":"doi:10.48550/arxiv.2603.19302","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2603.19302","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"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":"article"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/16","score":0.7008333206176758,"display_name":"Peace, Justice and strong institutions"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"Machine":[0],"unlearning":[1,60,139],"is":[2],"increasingly":[3],"important":[4],"for":[5,57],"clinical":[6],"language":[7],"models,":[8],"where":[9],"privacy":[10],"regulations":[11],"and":[12,43,84,89],"institutional":[13],"policies":[14],"may":[15],"require":[16],"removing":[17],"sensitive":[18],"information":[19,37],"from":[20,25],"deployed":[21],"systems":[22],"without":[23,147],"retraining":[24],"scratch.":[26],"In":[27,103],"practice,":[28],"deletion":[29],"requests":[30],"must":[31],"balance":[32],"effective":[33],"forgetting":[34,111],"of":[35,40,130],"targeted":[36,137],"with":[38,68],"preservation":[39],"model":[41,131],"utility":[42,120],"minimal":[44],"parameter":[45],"modification.":[46],"We":[47],"introduce":[48],"Sparse":[49],"Token":[50],"Embedding":[51],"Unlearning":[52],"(STEU),":[53],"a":[54,69],"parameter-efficient":[55],"method":[56],"behavioral":[58,138],"class-level":[59],"that":[61,136],"updates":[62],"only":[63,128],"PMI-selected":[64],"token":[65],"embeddings":[66],"together":[67],"small":[70],"classifier":[71],"head":[72],"while":[73,97,116],"keeping":[74],"all":[75],"encoder":[76,150],"layers":[77],"frozen.":[78],"Across":[79],"experiments":[80],"on":[81],"MIMIC-IV,":[82],"MIMIC-III,":[83],"eICU":[85],"using":[86],"BioClinicalBERT,":[87],"BERT-base,":[88],"DistilBERT,":[90],"STEU":[91,108],"consistently":[92],"suppresses":[93],"the":[94,104],"target":[95],"class":[96],"largely":[98],"preserving":[99],"retained":[100,119],"task":[101],"performance.":[102],"primary":[105],"MIMIC-IV":[106],"setting,":[107],"achieves":[109],"near-complete":[110],"(forget":[112],"F1":[113,123],"=":[114,124],"0.0004)":[115],"maintaining":[117],"competitive":[118],"(retain":[121],"avg":[122],"0.4766)":[125],"after":[126],"modifying":[127,148],"0.19\\%":[129],"parameters.":[132],"These":[133],"results":[134],"suggest":[135],"can":[140],"be":[141],"achieved":[142],"through":[143],"sparse":[144],"embedding":[145],"edits":[146],"deeper":[149],"representations.":[151]},"counts_by_year":[],"updated_date":"2026-03-24T06:04:31.470712","created_date":"2026-03-24T00:00:00"}