{"id":"https://openalex.org/W7165894149","doi":"https://doi.org/10.48550/arxiv.2606.25285","title":"EPTS: Elastic Post-Training Sparsity for Efficient Large Language Model Compression","display_name":"EPTS: Elastic Post-Training Sparsity for Efficient Large Language Model Compression","publication_year":2026,"publication_date":"2026-06-24","ids":{"openalex":"https://openalex.org/W7165894149","doi":"https://doi.org/10.48550/arxiv.2606.25285"},"language":null,"primary_location":{"id":"doi:10.48550/arxiv.2606.25285","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2606.25285","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":null,"license_id":null,"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.2606.25285","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5139349310","display_name":"Ke Xu","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Xu, Ke","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5072591276","display_name":"Jiaqi Wan","orcid":"https://orcid.org/0000-0002-2307-9589"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Wan, Jiaqi","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5084371918","display_name":"Wenhao Hu","orcid":"https://orcid.org/0000-0001-5141-9731"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Hu, Wenhao","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100787466","display_name":"Han Pu","orcid":"https://orcid.org/0009-0004-3955-1712"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Pu, Han","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5139334017","display_name":"Xiaoyun Wang","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Wang, Xiaoyun","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/T10036","display_name":"Advanced Neural Network Applications","score":0.17110000550746918,"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/T10036","display_name":"Advanced Neural Network Applications","score":0.17110000550746918,"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/T10054","display_name":"Parallel Computing and Optimization Techniques","score":0.1412999927997589,"subfield":{"id":"https://openalex.org/subfields/1708","display_name":"Hardware and Architecture"},"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/T14347","display_name":"Big Data and Digital Economy","score":0.07259999960660934,"subfield":{"id":"https://openalex.org/subfields/1710","display_name":"Information Systems"},"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/software-deployment","display_name":"Software deployment","score":0.6783000230789185},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.636900007724762},{"id":"https://openalex.org/keywords/pruning","display_name":"Pruning","score":0.6281999945640564},{"id":"https://openalex.org/keywords/hierarchy","display_name":"Hierarchy","score":0.5404999852180481},{"id":"https://openalex.org/keywords/code","display_name":"Code (set theory)","score":0.5200999975204468},{"id":"https://openalex.org/keywords/adaptability","display_name":"Adaptability","score":0.5117999911308289},{"id":"https://openalex.org/keywords/compression","display_name":"Compression (physics)","score":0.387800008058548},{"id":"https://openalex.org/keywords/source-code","display_name":"Source code","score":0.37869998812675476}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7850000262260437},{"id":"https://openalex.org/C105339364","wikidata":"https://www.wikidata.org/wiki/Q2297740","display_name":"Software deployment","level":2,"score":0.6783000230789185},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.636900007724762},{"id":"https://openalex.org/C108010975","wikidata":"https://www.wikidata.org/wiki/Q500094","display_name":"Pruning","level":2,"score":0.6281999945640564},{"id":"https://openalex.org/C31170391","wikidata":"https://www.wikidata.org/wiki/Q188619","display_name":"Hierarchy","level":2,"score":0.5404999852180481},{"id":"https://openalex.org/C2776760102","wikidata":"https://www.wikidata.org/wiki/Q5139990","display_name":"Code (set theory)","level":3,"score":0.5200999975204468},{"id":"https://openalex.org/C177606310","wikidata":"https://www.wikidata.org/wiki/Q5674297","display_name":"Adaptability","level":2,"score":0.5117999911308289},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.40790000557899475},{"id":"https://openalex.org/C180016635","wikidata":"https://www.wikidata.org/wiki/Q2712821","display_name":"Compression (physics)","level":2,"score":0.387800008058548},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.3833000063896179},{"id":"https://openalex.org/C43126263","wikidata":"https://www.wikidata.org/wiki/Q128751","display_name":"Source code","level":2,"score":0.37869998812675476},{"id":"https://openalex.org/C120314980","wikidata":"https://www.wikidata.org/wiki/Q180634","display_name":"Distributed computing","level":1,"score":0.3736000061035156},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.35269999504089355},{"id":"https://openalex.org/C137836250","wikidata":"https://www.wikidata.org/wiki/Q984063","display_name":"Optimization problem","level":2,"score":0.3294999897480011},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3255000114440918},{"id":"https://openalex.org/C125411270","wikidata":"https://www.wikidata.org/wiki/Q18653","display_name":"Encoding (memory)","level":2,"score":0.32199999690055847},{"id":"https://openalex.org/C113775141","wikidata":"https://www.wikidata.org/wiki/Q428691","display_name":"Computer engineering","level":1,"score":0.29789999127388},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.29179999232292175},{"id":"https://openalex.org/C124681953","wikidata":"https://www.wikidata.org/wiki/Q339062","display_name":"Decomposition","level":2,"score":0.2842999994754791},{"id":"https://openalex.org/C137293760","wikidata":"https://www.wikidata.org/wiki/Q3621696","display_name":"Language model","level":2,"score":0.2825999855995178},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.2736999988555908},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.2705000042915344},{"id":"https://openalex.org/C2780902518","wikidata":"https://www.wikidata.org/wiki/Q6033780","display_name":"Inheritance (genetic algorithm)","level":3,"score":0.2689000070095062},{"id":"https://openalex.org/C89611455","wikidata":"https://www.wikidata.org/wiki/Q6804646","display_name":"Mechanism (biology)","level":2,"score":0.25949999690055847},{"id":"https://openalex.org/C2780598303","wikidata":"https://www.wikidata.org/wiki/Q65921492","display_name":"Flexibility (engineering)","level":2,"score":0.25949999690055847}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.48550/arxiv.2606.25285","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2606.25285","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":null,"license_id":null,"version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"Preprint"}],"best_oa_location":{"id":"doi:10.48550/arxiv.2606.25285","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2606.25285","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":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Preprint"},"sustainable_development_goals":[{"score":0.4468095600605011,"id":"https://metadata.un.org/sdg/8","display_name":"Decent work and economic growth"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"Post-Training":[0,72],"Sparsity":[1,73],"(PTS)":[2],"has":[3],"emerged":[4],"as":[5,53],"a":[6,32,56,61,75,81,95,102,127,181],"crucial":[7],"paradigm":[8,44],"for":[9,37,121],"compressing":[10],"Large":[11],"Language":[12],"Models":[13],"to":[14,28,55,114,138,164],"facilitate":[15],"efficient":[16],"deployment":[17,48,179],"on":[18,152],"resource-constrained":[19],"devices.":[20],"However,":[21],"existing":[22],"PTS":[23],"methodologies":[24],"are":[25],"typically":[26],"confined":[27],"Single-Sparsity":[29],"optimization,":[30],"necessitating":[31],"separate,":[33],"time-consuming":[34],"optimization":[35,97],"session":[36],"each":[38],"specific":[39],"sparsity":[40,58,92,148],"level.":[41],"This":[42],"rigid":[43],"significantly":[45,133],"hinders":[46],"flexible":[47],"across":[49,90],"diverse":[50,91],"hardware":[51],"scenarios,":[52],"adapting":[54],"new":[57],"requirement":[59],"mandates":[60],"complete":[62],"re-optimization":[63],"process.":[64,98],"To":[65],"address":[66],"these":[67],"limitations,":[68],"we":[69,100,125],"propose":[70],"Elastic":[71],"(EPTS),":[74],"unified":[76],"Multi-Sparsity":[77,103,128],"framework":[78],"that":[79,108,158],"produces":[80],"single":[82,182],"elastic":[83],"model":[84],"capable":[85],"of":[86,146],"maintaining":[87],"robust":[88],"performance":[89,162],"configurations":[93],"through":[94],"one-shot":[96],"Specifically,":[99],"design":[101],"Hierarchy":[104],"LoRA":[105],"(MS-HiLoRA)":[106],"mechanism":[107],"facilitates":[109],"knowledge":[110],"inheritance":[111],"from":[112,180],"low-":[113],"high-sparsity":[115],"groups,":[116],"effectively":[117],"mitigating":[118],"the":[119,135],"competition":[120],"parameter":[122],"reconstruction.":[123],"Furthermore,":[124],"introduce":[126],"Feature":[129],"Mixer":[130],"(MSFM),":[131],"which":[132],"enhances":[134],"model's":[136],"adaptability":[137],"pruning":[139],"perturbations":[140],"by":[141,176],"dynamically":[142],"fusing":[143],"feature":[144],"representations":[145],"varying":[147],"granularities.":[149],"Extensive":[150],"experiments":[151],"LLaMA":[153],"and":[154,169],"OPT":[155],"families":[156],"demonstrate":[157],"EPTS":[159],"achieves":[160],"competitive":[161],"compared":[163],"state-of-the-art":[165],"methods":[166],"like":[167],"SparseGPT":[168],"Wanda,":[170],"while":[171],"offering":[172],"significant":[173],"efficiency":[174],"gains":[175],"enabling":[177],"multi-scenario":[178],"optimization.":[183],"our":[184],"source":[185],"code":[186],"is":[187],"available":[188],"at":[189],"https://github.com/xuke225/EPTS.":[190]},"counts_by_year":[],"updated_date":"2026-07-28T07:46:37.118299","created_date":"2026-06-26T00:00:00"}
