{"id":"https://openalex.org/W7161599419","doi":"https://doi.org/10.48550/arxiv.2605.15491","title":"Ghosted Layers: Unconstrained Activation Alignment for Recovering Layer-Pruned LLMs","display_name":"Ghosted Layers: Unconstrained Activation Alignment for Recovering Layer-Pruned LLMs","publication_year":2026,"publication_date":"2026-05-15","ids":{"openalex":"https://openalex.org/W7161599419","doi":"https://doi.org/10.48550/arxiv.2605.15491"},"language":null,"primary_location":{"id":"doi:10.48550/arxiv.2605.15491","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2605.15491","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":"Preprint"},"type":"preprint","indexed_in":["datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://doi.org/10.48550/arxiv.2605.15491","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5136368845","display_name":"Vincent-Daniel Yun","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Yun, Vincent-Daniel","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5120092130","display_name":"Junhyuk Jo","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Jo, Junhyuk","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5136413729","display_name":"Sai Praneeth Karimireddy","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Karimireddy, Sai Praneeth","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5136445102","display_name":"Sunwoo Lee","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Lee, Sunwoo","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/T10775","display_name":"Generative Adversarial Networks and Image Synthesis","score":0.16519999504089355,"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"}},"topics":[{"id":"https://openalex.org/T10775","display_name":"Generative Adversarial Networks and Image Synthesis","score":0.16519999504089355,"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/T10028","display_name":"Topic Modeling","score":0.1485999971628189,"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/T11307","display_name":"Domain Adaptation and Few-Shot Learning","score":0.14839999377727509,"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/perplexity","display_name":"Perplexity","score":0.6050999760627747},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.49079999327659607},{"id":"https://openalex.org/keywords/pruning","display_name":"Pruning","score":0.48739999532699585},{"id":"https://openalex.org/keywords/operator","display_name":"Operator (biology)","score":0.4560999870300293},{"id":"https://openalex.org/keywords/transformer","display_name":"Transformer","score":0.4494999945163727},{"id":"https://openalex.org/keywords/layer","display_name":"Layer (electronics)","score":0.44909998774528503},{"id":"https://openalex.org/keywords/calibration","display_name":"Calibration","score":0.3456999957561493}],"concepts":[{"id":"https://openalex.org/C100279451","wikidata":"https://www.wikidata.org/wiki/Q372193","display_name":"Perplexity","level":3,"score":0.6050999760627747},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5644999742507935},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.5325000286102295},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.49079999327659607},{"id":"https://openalex.org/C108010975","wikidata":"https://www.wikidata.org/wiki/Q500094","display_name":"Pruning","level":2,"score":0.48739999532699585},{"id":"https://openalex.org/C17020691","wikidata":"https://www.wikidata.org/wiki/Q139677","display_name":"Operator (biology)","level":5,"score":0.4560999870300293},{"id":"https://openalex.org/C66322947","wikidata":"https://www.wikidata.org/wiki/Q11658","display_name":"Transformer","level":3,"score":0.4494999945163727},{"id":"https://openalex.org/C2779227376","wikidata":"https://www.wikidata.org/wiki/Q6505497","display_name":"Layer (electronics)","level":2,"score":0.44909998774528503},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.3880000114440918},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3799000084400177},{"id":"https://openalex.org/C165838908","wikidata":"https://www.wikidata.org/wiki/Q736777","display_name":"Calibration","level":2,"score":0.3456999957561493},{"id":"https://openalex.org/C137293760","wikidata":"https://www.wikidata.org/wiki/Q3621696","display_name":"Language model","level":2,"score":0.33820000290870667},{"id":"https://openalex.org/C48103436","wikidata":"https://www.wikidata.org/wiki/Q599031","display_name":"State (computer science)","level":2,"score":0.3188000023365021},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.31139999628067017},{"id":"https://openalex.org/C28855332","wikidata":"https://www.wikidata.org/wiki/Q198099","display_name":"Quantization (signal processing)","level":2,"score":0.28999999165534973},{"id":"https://openalex.org/C49766605","wikidata":"https://www.wikidata.org/wiki/Q207643","display_name":"Linear map","level":2,"score":0.2623000144958496},{"id":"https://openalex.org/C165064840","wikidata":"https://www.wikidata.org/wiki/Q1321061","display_name":"Matching (statistics)","level":2,"score":0.2574999928474426},{"id":"https://openalex.org/C62354387","wikidata":"https://www.wikidata.org/wiki/Q875399","display_name":"Boundary (topology)","level":2,"score":0.2542000114917755},{"id":"https://openalex.org/C47446073","wikidata":"https://www.wikidata.org/wiki/Q5165890","display_name":"Control theory (sociology)","level":3,"score":0.2508000135421753}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.48550/arxiv.2605.15491","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2605.15491","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":"Preprint"}],"best_oa_location":{"id":"doi:10.48550/arxiv.2605.15491","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2605.15491","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":"Preprint"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"Layer":[0],"pruning":[1,112],"removes":[2],"entire":[3],"Transformer":[4],"decoder":[5],"blocks":[6],"from":[7,65],"large":[8],"language":[9],"models,":[10],"but":[11],"introduces":[12],"a":[13,42,52,60,66],"mismatch":[14],"between":[15],"the":[16,21,26,72,77,87,91,129],"hidden":[17],"state":[18],"received":[19],"by":[20,50,76],"next":[22],"surviving":[23],"layer":[24,133],"and":[25,111,121],"distribution":[27],"it":[28],"was":[29],"trained":[30],"to":[31,34,70,86,99],"process,":[32],"leading":[33],"significant":[35],"performance":[36],"degradation.":[37],"We":[38,80],"propose":[39],"Ghosted":[40],"Layers,":[41],"training-free":[43,125],"recovery":[44],"module":[45],"that":[46,82,115],"addresses":[47],"this":[48,83],"issue":[49],"solving":[51],"boundary":[53],"activation":[54,73],"alignment":[55,92],"problem.":[56],"Our":[57],"method":[58,117],"derives":[59],"closed-form":[61],"optimal":[62],"linear":[63],"operator":[64,104],"small":[67],"calibration":[68],"set":[69],"reconstruct":[71],"discrepancy":[74],"introduced":[75],"pruned":[78],"layers.":[79],"show":[81],"solution":[84],"corresponds":[85],"unconstrained":[88],"optimum":[89],"of":[90,132],"objective,":[93],"whereas":[94],"existing":[95],"methods":[96],"are":[97],"restricted":[98],"constrained":[100],"solutions":[101],"over":[102,123],"limited":[103],"subspaces.":[105],"Experiments":[106],"across":[107],"multiple":[108],"LLM":[109],"backbones":[110],"strategies":[113],"demonstrate":[114],"our":[116],"consistently":[118],"improves":[119],"accuracy":[120],"perplexity":[122],"prior":[124],"baselines,":[126],"while":[127],"preserving":[128],"efficiency":[130],"gains":[131],"pruning.":[134],"Official":[135],"code":[136],"repository:":[137],"https://github.com/daniel-eai/ghosted_layers_official_repository/.":[138]},"counts_by_year":[],"updated_date":"2026-07-01T06:00:48.157686","created_date":"2026-05-19T00:00:00"}