{"id":"https://openalex.org/W7163708554","doi":"https://doi.org/10.48550/arxiv.2606.05698","title":"Rethinking LoRA Memory Through the Lens of KV Cache Compression","display_name":"Rethinking LoRA Memory Through the Lens of KV Cache Compression","publication_year":2026,"publication_date":"2026-06-04","ids":{"openalex":"https://openalex.org/W7163708554","doi":"https://doi.org/10.48550/arxiv.2606.05698"},"language":null,"primary_location":{"id":"doi:10.48550/arxiv.2606.05698","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2606.05698","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.2606.05698","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5093917254","display_name":"Chunsheng Zuo","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Zuo, Chunsheng","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5134802529","display_name":"Liaoyaqi Wang","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Wang, Liaoyaqi","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5077832672","display_name":"William Jurayj","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Jurayj, William","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5078437270","display_name":"William Fleshman","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Fleshman, William","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5137980096","display_name":"Benjamin Van Durme","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Van Durme, Benjamin","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":0.7181000113487244,"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":0.7181000113487244,"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":0.0348999984562397,"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/T12072","display_name":"Machine Learning and Algorithms","score":0.03099999949336052,"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/cache","display_name":"Cache","score":0.6710000038146973},{"id":"https://openalex.org/keywords/adapter","display_name":"Adapter (computing)","score":0.5509999990463257},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.4961000084877014},{"id":"https://openalex.org/keywords/document-retrieval","display_name":"Document retrieval","score":0.4018999934196472},{"id":"https://openalex.org/keywords/parametric-statistics","display_name":"Parametric statistics","score":0.388700008392334},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.3400999903678894},{"id":"https://openalex.org/keywords/cpu-cache","display_name":"CPU cache","score":0.33059999346733093}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7310000061988831},{"id":"https://openalex.org/C115537543","wikidata":"https://www.wikidata.org/wiki/Q165596","display_name":"Cache","level":2,"score":0.6710000038146973},{"id":"https://openalex.org/C177284502","wikidata":"https://www.wikidata.org/wiki/Q1005390","display_name":"Adapter (computing)","level":2,"score":0.5509999990463257},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.4961000084877014},{"id":"https://openalex.org/C161156560","wikidata":"https://www.wikidata.org/wiki/Q1638872","display_name":"Document retrieval","level":2,"score":0.4018999934196472},{"id":"https://openalex.org/C117251300","wikidata":"https://www.wikidata.org/wiki/Q1849855","display_name":"Parametric statistics","level":2,"score":0.388700008392334},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.3400999903678894},{"id":"https://openalex.org/C189783530","wikidata":"https://www.wikidata.org/wiki/Q352090","display_name":"CPU cache","level":3,"score":0.33059999346733093},{"id":"https://openalex.org/C2776291640","wikidata":"https://www.wikidata.org/wiki/Q2912517","display_name":"Value (mathematics)","level":2,"score":0.3197999894618988},{"id":"https://openalex.org/C3720319","wikidata":"https://www.wikidata.org/wiki/Q5015937","display_name":"Cache-only memory architecture","level":5,"score":0.29760000109672546},{"id":"https://openalex.org/C125411270","wikidata":"https://www.wikidata.org/wiki/Q18653","display_name":"Encoding (memory)","level":2,"score":0.296099990606308},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.2822999954223633},{"id":"https://openalex.org/C9390403","wikidata":"https://www.wikidata.org/wiki/Q3966","display_name":"Computer hardware","level":1,"score":0.2806999981403351},{"id":"https://openalex.org/C127162648","wikidata":"https://www.wikidata.org/wiki/Q16858953","display_name":"Channel (broadcasting)","level":2,"score":0.26429998874664307},{"id":"https://openalex.org/C180016635","wikidata":"https://www.wikidata.org/wiki/Q2712821","display_name":"Compression (physics)","level":2,"score":0.26330000162124634},{"id":"https://openalex.org/C72773152","wikidata":"https://www.wikidata.org/wiki/Q5287629","display_name":"Document layout analysis","level":3,"score":0.25769999623298645}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.48550/arxiv.2606.05698","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2606.05698","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.2606.05698","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2606.05698","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":{"Parametric":[0],"retrieval":[1],"augmentation":[2],"encodes":[3,104],"document":[4,52,59,69,93,118,130,145],"information":[5],"into":[6],"lightweight,":[7],"document-specific":[8],"modules":[9],"such":[10],"as":[11,21,123,128,147],"LoRA":[12,60,70,119,146],"adapters,":[13],"reducing":[14],"the":[15,38,63,74,101,105,108],"need":[16],"to":[17],"include":[18],"all":[19],"evidence":[20,158],"input":[22],"context.":[23,65],"However,":[24],"it":[25],"remains":[26],"unclear":[27],"how":[28],"this":[29,43],"parameter-side":[30],"memory":[31,35,126,150],"interacts":[32],"with":[33],"context-side":[34,157],"stored":[36],"in":[37,45],"KV":[39,75],"cache.":[40],"We":[41,66],"study":[42],"interaction":[44],"document-level":[46],"question":[47],"answering":[48],"by":[49],"progressively":[50],"evicting":[51],"key-value":[53],"states":[54],"and":[55,107],"measuring":[56],"when":[57,73,91,100,156],"a":[58,129,148],"contributes":[61],"beyond":[62],"retained":[64],"find":[67],"that":[68,117],"adds":[71],"little":[72],"cache":[76],"is":[77,98,110,120,159],"largely":[78],"intact,":[79],"but":[80],"becomes":[81],"increasingly":[82],"useful":[83],"under":[84],"aggressive":[85],"compression,":[86],"recovering":[87],"13-21":[88],"ROUGE-L":[89],"points":[90],"no":[92],"context":[94],"remains.":[95],"The":[96],"gain":[97],"largest":[99],"base":[102],"model":[103],"document,":[106],"adapter":[109],"applied":[111],"only":[112],"during":[113],"answer":[114],"generation,":[115],"suggesting":[116],"better":[121],"understood":[122],"decoding-time":[124],"parametric":[125],"than":[127,139],"encoder.":[131],"Finally,":[132],"QA-style":[133],"supervision":[134],"produces":[135],"substantially":[136],"stronger":[137],"adapters":[138],"raw-context":[140],"next-token-prediction.":[141],"These":[142],"results":[143],"position":[144],"complementary":[149],"channel":[151],"whose":[152],"value":[153],"emerges":[154],"precisely":[155],"scarce.":[160]},"counts_by_year":[],"updated_date":"2026-07-01T06:00:48.157686","created_date":"2026-06-06T00:00:00"}