{"id":"https://openalex.org/W4406447979","doi":"https://doi.org/10.48550/arxiv.2501.07596","title":"Optimize Incompatible Parameters through Compatibility-aware Knowledge Integration","display_name":"Optimize Incompatible Parameters through Compatibility-aware Knowledge Integration","publication_year":2025,"publication_date":"2025-01-10","ids":{"openalex":"https://openalex.org/W4406447979","doi":"https://doi.org/10.48550/arxiv.2501.07596"},"language":"en","primary_location":{"id":"pmh:oai:arXiv.org:2501.07596","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2501.07596","pdf_url":"https://arxiv.org/pdf/2501.07596","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":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},"type":"preprint","indexed_in":["arxiv","datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/2501.07596","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5011772637","display_name":"Zheqi Lv","orcid":"https://orcid.org/0000-0001-6529-8088"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Lv, Zheqi","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5050830411","display_name":"K.X. Ye","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Ye, Keming","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5110555036","display_name":"Zishu Wei","orcid":"https://orcid.org/0009-0005-5271-3904"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Wei, Zishu","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5109281374","display_name":"Qi Tian","orcid":"https://orcid.org/0009-0003-0118-274X"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Tian, Qi","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100757087","display_name":"Shengyu Zhang","orcid":"https://orcid.org/0000-0002-0030-8289"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Zhang, Shengyu","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5082131901","display_name":"Wenqiao Zhang","orcid":"https://orcid.org/0000-0002-5988-7609"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Zhang, Wenqiao","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100368547","display_name":"Wenjie Wang","orcid":"https://orcid.org/0009-0001-1477-0984"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Wang, Wenjie","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5041727387","display_name":"Kun Kuang","orcid":"https://orcid.org/0000-0001-7024-9790"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Kuang, Kun","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5089404640","display_name":"Tat\u2010Seng Chua","orcid":"https://orcid.org/0000-0001-6097-7807"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Chua, Tat-Seng","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5075809078","display_name":"Fei Wu","orcid":"https://orcid.org/0000-0003-1617-3187"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Wu, Fei","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":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10820","display_name":"Fuzzy Logic and Control Systems","score":0.1889999955892563,"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/T10820","display_name":"Fuzzy Logic and Control Systems","score":0.1889999955892563,"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/compatibility","display_name":"Compatibility (geochemistry)","score":0.853643536567688},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5007326602935791},{"id":"https://openalex.org/keywords/materials-science","display_name":"Materials science","score":0.13598400354385376}],"concepts":[{"id":"https://openalex.org/C2778648169","wikidata":"https://www.wikidata.org/wiki/Q967768","display_name":"Compatibility (geochemistry)","level":2,"score":0.853643536567688},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5007326602935791},{"id":"https://openalex.org/C192562407","wikidata":"https://www.wikidata.org/wiki/Q228736","display_name":"Materials science","level":0,"score":0.13598400354385376},{"id":"https://openalex.org/C159985019","wikidata":"https://www.wikidata.org/wiki/Q181790","display_name":"Composite material","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"pmh:oai:arXiv.org:2501.07596","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2501.07596","pdf_url":"https://arxiv.org/pdf/2501.07596","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":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},{"id":"doi:10.48550/arxiv.2501.07596","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2501.07596","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":"pmh:oai:arXiv.org:2501.07596","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2501.07596","pdf_url":"https://arxiv.org/pdf/2501.07596","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":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G2546365386","display_name":null,"funder_award_id":"6203700 1","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G3253937777","display_name":null,"funder_award_id":"62376243","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5227875867","display_name":null,"funder_award_id":"62441605","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320318398","display_name":"Ant Group","ror":null},{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320322927","display_name":"Zhejiang University","ror":"https://ror.org/00a2xv884"},{"id":"https://openalex.org/F4320329860","display_name":"National Science and Technology Major Project","ror":null}],"has_content":{"grobid_xml":false,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4406447979.pdf"},"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2899084033","https://openalex.org/W2748952813","https://openalex.org/W2390255551","https://openalex.org/W2367511445","https://openalex.org/W2381930792","https://openalex.org/W2358901819","https://openalex.org/W745733672","https://openalex.org/W2983545107","https://openalex.org/W2389102290"],"abstract_inverted_index":{"Deep":[0],"neural":[1],"networks":[2],"have":[3],"become":[4],"foundational":[5],"to":[6,35,82,92,134,193],"advancements":[7],"in":[8,49],"multiple":[9,58,140,189],"domains,":[10],"including":[11],"recommendation":[12,171],"systems,":[13],"natural":[14],"language":[15,173],"processing,":[16],"and":[17,79,128,142,172,175,191],"so":[18],"on.":[19],"Despite":[20],"their":[21],"successes,":[22],"these":[23,95],"models":[24,110,141],"often":[25],"contain":[26],"incompatible":[27,96,186],"parameters":[28,52,97,187],"that":[29,179],"can":[30,153,183],"be":[31,154],"underutilized":[32],"or":[33,53,159],"detrimental":[34],"model":[36,152,202],"performance,":[37,70],"particularly":[38],"when":[39],"faced":[40],"with":[41],"specific,":[42],"varying":[43],"data":[44],"distributions.":[45],"Existing":[46],"research":[47],"excels":[48],"removing":[50],"such":[51],"merging":[54],"the":[55,63,72,90,100,109,136,144,176,196,200,205],"outputs":[56],"of":[57,103,124,139,199],"different":[59,104],"pretrained":[60],"models.":[61],"However,":[62],"former":[64],"focuses":[65],"on":[66,167],"efficiency":[67],"rather":[68],"than":[69],"while":[71],"latter":[73],"requires":[74],"several":[75],"times":[76],"more":[77],"computing":[78],"storage":[80],"resources":[81],"support":[83],"inference.":[84],"In":[85],"this":[86],"paper,":[87],"we":[88,116],"set":[89],"goal":[91],"explicitly":[93],"improve":[94],"by":[98],"leveraging":[99],"complementary":[101],"strengths":[102],"models,":[105],"thereby":[106],"directly":[107,156],"enhancing":[108],"without":[111,203],"any":[112],"additional":[113],"parameters.":[114],"Specifically,":[115],"propose":[117],"Compatibility-aware":[118,180],"Knowledge":[119,181],"Integration":[120,182],"(CKI),":[121],"which":[122,131],"consists":[123],"Parameter":[125,129],"Compatibility":[126],"Assessment":[127],"Splicing,":[130],"are":[132],"used":[133,155],"evaluate":[135],"knowledge":[137,145],"content":[138],"integrate":[143],"into":[146],"one":[147],"model,":[148],"respectively.":[149],"The":[150],"integrated":[151],"for":[157,160,170],"inference":[158,206],"further":[161],"fine-tuning.":[162],"We":[163],"conduct":[164],"extensive":[165],"experiments":[166],"various":[168],"datasets":[169],"tasks,":[174],"results":[177],"show":[178],"effectively":[184],"optimize":[185],"under":[188],"tasks":[190],"settings":[192],"break":[194],"through":[195],"training":[197],"limit":[198],"original":[201],"increasing":[204],"cost.":[207]},"counts_by_year":[],"updated_date":"2026-08-01T09:00:35.917206","created_date":"2025-10-10T00:00:00"}