{"id":"https://openalex.org/W4412888365","doi":"https://doi.org/10.18653/v1/2025.findings-acl.746","title":"Assigning Distinct Roles to Quantized and Low-Rank Matrices Toward Optimal Weight Decomposition","display_name":"Assigning Distinct Roles to Quantized and Low-Rank Matrices Toward Optimal Weight Decomposition","publication_year":2025,"publication_date":"2025-01-01","ids":{"openalex":"https://openalex.org/W4412888365","doi":"https://doi.org/10.18653/v1/2025.findings-acl.746"},"language":"en","primary_location":{"id":"doi:10.18653/v1/2025.findings-acl.746","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/2025.findings-acl.746","pdf_url":"https://aclanthology.org/2025.findings-acl.746.pdf","source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Findings of the Association for Computational Linguistics: ACL 2025","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://aclanthology.org/2025.findings-acl.746.pdf","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5064318874","display_name":"Yoonjun Cho","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Yoonjun Cho","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5003850381","display_name":"Suhwan Kim","orcid":"https://orcid.org/0009-0000-9063-5947"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Soeun Kim","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":null,"display_name":"Dongjae Jeon","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Dongjae Jeon","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5004303761","display_name":"Kyelim Lee","orcid":"https://orcid.org/0009-0002-4108-7811"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Kyelim Lee","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5034911603","display_name":"Beomsoo Lee","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Beomsoo Lee","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5049196468","display_name":"Albert No","orcid":"https://orcid.org/0000-0002-6346-4182"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Albert No","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":true,"cited_by_count":0,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"14453","last_page":"14470"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10057","display_name":"Face and Expression Recognition","score":0.2669000029563904,"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/T10057","display_name":"Face and Expression Recognition","score":0.2669000029563904,"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/T10052","display_name":"Medical Image Segmentation Techniques","score":0.2612000107765198,"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/T11666","display_name":"Color Science and Applications","score":0.24289999902248383,"subfield":{"id":"https://openalex.org/subfields/3107","display_name":"Atomic and Molecular Physics, and Optics"},"field":{"id":"https://openalex.org/fields/31","display_name":"Physics and Astronomy"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/decomposition","display_name":"Decomposition","score":0.6973422765731812},{"id":"https://openalex.org/keywords/rank","display_name":"Rank (graph theory)","score":0.647034764289856},{"id":"https://openalex.org/keywords/matrix-decomposition","display_name":"Matrix decomposition","score":0.5117380619049072},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.47963815927505493},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.34490400552749634},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.3388853669166565},{"id":"https://openalex.org/keywords/combinatorics","display_name":"Combinatorics","score":0.2806512117385864},{"id":"https://openalex.org/keywords/chemistry","display_name":"Chemistry","score":0.08838194608688354},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.07622700929641724}],"concepts":[{"id":"https://openalex.org/C124681953","wikidata":"https://www.wikidata.org/wiki/Q339062","display_name":"Decomposition","level":2,"score":0.6973422765731812},{"id":"https://openalex.org/C164226766","wikidata":"https://www.wikidata.org/wiki/Q7293202","display_name":"Rank (graph theory)","level":2,"score":0.647034764289856},{"id":"https://openalex.org/C42355184","wikidata":"https://www.wikidata.org/wiki/Q1361088","display_name":"Matrix decomposition","level":3,"score":0.5117380619049072},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.47963815927505493},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.34490400552749634},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.3388853669166565},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.2806512117385864},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.08838194608688354},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.07622700929641724},{"id":"https://openalex.org/C178790620","wikidata":"https://www.wikidata.org/wiki/Q11351","display_name":"Organic chemistry","level":1,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C158693339","wikidata":"https://www.wikidata.org/wiki/Q190524","display_name":"Eigenvalues and eigenvectors","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.18653/v1/2025.findings-acl.746","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/2025.findings-acl.746","pdf_url":"https://aclanthology.org/2025.findings-acl.746.pdf","source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Findings of the Association for Computational Linguistics: ACL 2025","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.18653/v1/2025.findings-acl.746","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/2025.findings-acl.746","pdf_url":"https://aclanthology.org/2025.findings-acl.746.pdf","source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Findings of the Association for Computational Linguistics: ACL 2025","raw_type":"proceedings-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4412888365.pdf","grobid_xml":"https://content.openalex.org/works/W4412888365.grobid-xml"},"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W1979597421","https://openalex.org/W2007980826","https://openalex.org/W2061531152","https://openalex.org/W3002753104","https://openalex.org/W2077600819","https://openalex.org/W2142036596","https://openalex.org/W2072657027","https://openalex.org/W2962838298","https://openalex.org/W2600246793"],"abstract_inverted_index":{"Decomposing":[0],"weight":[1,143],"matrices":[2],"into":[3,104],"quantization":[4,27,88,114,129],"and":[5,28,89,98,116,119],"low-rank":[6,29,66],"components":[7,67],"(W":[8],"Q+LR)":[9],"is":[10],"a":[11],"widely":[12],"used":[13],"technique":[14],"for":[15,133],"compressing":[16],"large":[17],"language":[18],"models":[19],"(LLMs).Existing":[20],"joint":[21,106],"optimization":[22,107],"methods":[23,32],"iteratively":[24],"alternate":[25],"between":[26,87],"approximation.However,":[30],"these":[31],"tend":[33],"to":[34,50],"prioritize":[35],"one":[36],"component":[37],"at":[38],"the":[39,42,68,105],"expense":[40],"of":[41,71],"other,":[43],"resulting":[44],"in":[45,122],"suboptimal":[46],"decompositions":[47],"that":[48,101,128],"fail":[49],"leverage":[51],"each":[52],"component's":[53],"unique":[54],"strengths.In":[55],"this":[56],"work,":[57],"we":[58],"introduce":[59],"Outlier-Driven":[60],"Low-Rank":[61],"Initialization":[62],"(ODLRI),":[63],"which":[64],"assigns":[65],"specific":[69],"role":[70],"capturing":[72],"activation-sensitive":[73],"weights.This":[74],"structured":[75],"decomposition":[76],"mitigates":[77],"outliers'":[78],"negative":[79],"impact":[80],"on":[81,92],"quantization,":[82],"enabling":[83],"more":[84],"effective":[85],"balance":[86],"lowrank":[90],"approximation.Experiments":[91],"Llama2":[93],"(7B,":[94],"13B,":[95],"70B),":[96],"Llama3-8B,":[97],"Mistral-7B":[99],"demonstrate":[100],"incorporating":[102],"ODLRI":[103],"framework":[108],"consistently":[109],"reduces":[110],"activation-aware":[111],"error,":[112],"minimizes":[113],"scale,":[115],"improves":[117],"perplexity":[118],"zeroshot":[120],"accuracy":[121],"low-bit":[123],"settings.Recent":[124],"works":[125],"have":[126],"shown":[127],"errors":[130],"are":[131],"pronounced":[132],"weights":[134],"associated":[135],"with":[136],"activation":[137],"outliers,":[138],"as":[139],"extreme":[140],"activations":[141],"amplify":[142],"sensitivity":[144],"(Dettmers":[145],"et":[146,149],"al.,":[147,150],"2023b;Lin":[148]},"counts_by_year":[],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}