{"id":"https://openalex.org/W4392487615","doi":"https://doi.org/10.48550/arxiv.2403.01267","title":"Dissecting Language Models: Machine Unlearning via Selective Pruning","display_name":"Dissecting Language Models: Machine Unlearning via Selective Pruning","publication_year":2024,"publication_date":"2024-03-02","ids":{"openalex":"https://openalex.org/W4392487615","doi":"https://doi.org/10.48550/arxiv.2403.01267"},"language":"en","primary_location":{"id":"pmh:oai:arXiv.org:2403.01267","doi":null,"is_oa":true,"landing_page_url":"http://arxiv.org/abs/2403.01267","pdf_url":"https://arxiv.org/pdf/2403.01267","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","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},"volume":null,"type":"preprint","is_traditional":true,"indexed_in":["arxiv","datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/2403.01267","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5094076982","display_name":"Nicholas Pochinkov","orcid":null,"observed_orcids":[]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Pochinkov, Nicholas","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5062598891","display_name":"Nandi Schoots","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I183935753","display_name":"King's College London","ror":"https://ror.org/0220mzb33","country_code":"GB","type":"education","lineage":["https://openalex.org/I124357947","https://openalex.org/I183935753"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Schoots, Nandi","raw_affiliation_strings":["King's College London"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"King's College London","institution_ids":["https://openalex.org/I183935753"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":true,"cited_by_count":50,"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/T10764","display_name":"Privacy-Preserving Technologies in Data","score":0.8324999809265137,"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/T10764","display_name":"Privacy-Preserving Technologies in Data","score":0.8324999809265137,"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/T10036","display_name":"Advanced Neural Network Applications","score":0.052799999713897705,"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/T12026","display_name":"Explainable Artificial Intelligence (XAI)","score":0.03280000016093254,"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/machine-unlearning","display_name":"machine unlearning","score":0.9869999885559082},{"id":"https://openalex.org/keywords/large-language-models","display_name":"large language models","score":0.8960000276565552},{"id":"https://openalex.org/keywords/selective-pruning","display_name":"selective pruning","score":0.9300000071525574},{"id":"https://openalex.org/keywords/neuron-importance","display_name":"neuron importance","score":0.9129999876022339},{"id":"https://openalex.org/keywords/computational-efficiency","display_name":"computational efficiency","score":0.5299999713897705},{"id":"https://openalex.org/keywords/data-efficiency","display_name":"data efficiency","score":0.9599999785423279}],"concepts":[{"id":"https://openalex.org/C108010975","wikidata":"https://www.wikidata.org/wiki/Q500094","display_name":"Pruning","level":2,"score":0.7015842795372009},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5587304830551147},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5176363587379456},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.4659503400325775},{"id":"https://openalex.org/C137293760","wikidata":"https://www.wikidata.org/wiki/Q3621696","display_name":"Language model","level":2,"score":0.462363064289093},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.06840914487838745},{"id":"https://openalex.org/C6557445","wikidata":"https://www.wikidata.org/wiki/Q173113","display_name":"Agronomy","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"pmh:oai:arXiv.org:2403.01267","doi":null,"is_oa":true,"landing_page_url":"http://arxiv.org/abs/2403.01267","pdf_url":"https://arxiv.org/pdf/2403.01267","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","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},{"id":"doi:10.48550/arxiv.2403.01267","doi":"https://doi.org/10.48550/arxiv.2403.01267","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2403.01267","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":"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"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:2403.01267","doi":null,"is_oa":true,"landing_page_url":"http://arxiv.org/abs/2403.01267","pdf_url":"https://arxiv.org/pdf/2403.01267","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","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},"sustainable_development_goals":[],"study_designs":[],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4392487615.pdf","grobid_xml":"https://content.openalex.org/works/W4392487615.grobid-xml"},"referenced_works_count":29,"referenced_works":["https://openalex.org/W2117539524","https://openalex.org/W2156150815","https://openalex.org/W2946794439","https://openalex.org/W2965373594","https://openalex.org/W2985940692","https://openalex.org/W3083410900","https://openalex.org/W3117576675","https://openalex.org/W3118781290","https://openalex.org/W3133702157","https://openalex.org/W3154155772","https://openalex.org/W3202838631","https://openalex.org/W4220795335","https://openalex.org/W4229005866","https://openalex.org/W4285134706","https://openalex.org/W4310998073","https://openalex.org/W4320005767","https://openalex.org/W4327526719","https://openalex.org/W4362655426","https://openalex.org/W4362714589","https://openalex.org/W4384918448","https://openalex.org/W4385473442","https://openalex.org/W4386081218","https://openalex.org/W4391724817","https://openalex.org/W4393147285","https://openalex.org/W4394593019","https://openalex.org/W4412565294","https://openalex.org/W7110933161","https://openalex.org/W7133216168","https://openalex.org/W7133218086"],"related_works":["https://openalex.org/W4415084928","https://openalex.org/W4415109308","https://openalex.org/W7159671713","https://openalex.org/W4414691182","https://openalex.org/W6947889110","https://openalex.org/W4415310889","https://openalex.org/W4417086773","https://openalex.org/W7091083107","https://openalex.org/W4409157766","https://openalex.org/W4387634446"],"abstract_inverted_index":{"Understanding":[0],"and":[1,18,63,68,81],"shaping":[2],"the":[3],"behaviour":[4],"of":[5],"Large":[6],"Language":[7],"Models":[8],"(LLMs)":[9],"is":[10,60,104],"increasingly":[11],"important":[12],"as":[13],"applications":[14],"become":[15],"more":[16,19,96],"powerful":[17],"frequently":[20],"adopted.":[21],"This":[22,58],"paper":[23],"introduces":[24],"a":[25,35,50,61],"machine":[26],"unlearning":[27],"method":[28,38,65],"specifically":[29],"designed":[30],"for":[31,39,66,90],"LLMs.":[32],"We":[33],"introduce":[34],"selective":[36],"pruning":[37],"LLMs":[40,85],"that":[41,71,78,88],"removes":[42],"neurons":[43,70,83,94],"based":[44],"on":[45,49],"their":[46],"relative":[47],"importance":[48],"targeted":[51],"capability":[52],"compared":[53],"to":[54],"overall":[55],"network":[56],"performance.":[57],"approach":[59],"compute-":[62],"data-efficient":[64],"identifying":[67],"removing":[69],"enable":[72],"specific":[73,91],"behaviours.":[74],"Our":[75],"findings":[76],"reveal":[77],"both":[79],"feed-forward":[80],"attention":[82],"in":[84],"are":[86,95],"specialized;":[87],"is,":[89],"tasks,":[92],"certain":[93],"crucial":[97],"than":[98],"others.":[99],"Code":[100],"from":[101],"all":[102],"experiments":[103],"available":[105],"at":[106],"https://github.com/nickypro/selective-pruning":[107]},"counts_by_year":[{"year":2026,"cited_by_count":19},{"year":2025,"cited_by_count":21},{"year":2024,"cited_by_count":10}],"updated_date":"2026-11-10T11:39:43.021295","created_date":"2024-03-06T00:00:00"}
