{"id":"https://openalex.org/W7166889606","doi":"https://doi.org/10.18653/v1/2026.findings-acl.1574","title":"Anchored Cyclic Generation: A Novel Paradigm for Long-Sequence Symbolic Music Generation","display_name":"Anchored Cyclic Generation: A Novel Paradigm for Long-Sequence Symbolic Music Generation","publication_year":2026,"publication_date":"2026-01-01","ids":{"openalex":"https://openalex.org/W7166889606","doi":"https://doi.org/10.18653/v1/2026.findings-acl.1574"},"language":null,"primary_location":{"id":"doi:10.18653/v1/2026.findings-acl.1574","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/2026.findings-acl.1574","pdf_url":"https://aclanthology.org/2026.findings-acl.1574.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 2026","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://aclanthology.org/2026.findings-acl.1574.pdf","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5139816004","display_name":"Boyu Cao","orcid":null},"institutions":[{"id":"https://openalex.org/I90610280","display_name":"South China University of Technology","ror":"https://ror.org/0530pts50","country_code":"CN","type":"education","lineage":["https://openalex.org/I90610280"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Boyu Cao","raw_affiliation_strings":["South China University of Technology , School of Future Technology"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"South China University of Technology , School of Future Technology","institution_ids":["https://openalex.org/I90610280"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5139833915","display_name":"Lekai Qian","orcid":null},"institutions":[{"id":"https://openalex.org/I90610280","display_name":"South China University of Technology","ror":"https://ror.org/0530pts50","country_code":"CN","type":"education","lineage":["https://openalex.org/I90610280"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lekai Qian","raw_affiliation_strings":["South China University of Technology , School of Future Technology"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"South China University of Technology , School of Future Technology","institution_ids":["https://openalex.org/I90610280"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5124176967","display_name":"Dehan Li","orcid":null},"institutions":[{"id":"https://openalex.org/I90610280","display_name":"South China University of Technology","ror":"https://ror.org/0530pts50","country_code":"CN","type":"education","lineage":["https://openalex.org/I90610280"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Dehan Li","raw_affiliation_strings":["South China University of Technology , School of Future Technology"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"South China University of Technology , School of Future Technology","institution_ids":["https://openalex.org/I90610280"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5124177003","display_name":"Haoyu Gu","orcid":null},"institutions":[{"id":"https://openalex.org/I90610280","display_name":"South China University of Technology","ror":"https://ror.org/0530pts50","country_code":"CN","type":"education","lineage":["https://openalex.org/I90610280"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Haoyu Gu","raw_affiliation_strings":["South China University of Technology , School of Future Technology"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"South China University of Technology , School of Future Technology","institution_ids":["https://openalex.org/I90610280"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5133199842","display_name":"Mingda Xu","orcid":null},"institutions":[{"id":"https://openalex.org/I90610280","display_name":"South China University of Technology","ror":"https://ror.org/0530pts50","country_code":"CN","type":"education","lineage":["https://openalex.org/I90610280"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Mingda Xu","raw_affiliation_strings":["South China University of Technology , School of Future Technology"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"South China University of Technology , School of Future Technology","institution_ids":["https://openalex.org/I90610280"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5139778144","display_name":"Qi Liu","orcid":null},"institutions":[{"id":"https://openalex.org/I90610280","display_name":"South China University of Technology","ror":"https://ror.org/0530pts50","country_code":"CN","type":"education","lineage":["https://openalex.org/I90610280"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qi Liu","raw_affiliation_strings":["South China University of Technology , School of Future Technology"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"South China University of Technology , School of Future Technology","institution_ids":["https://openalex.org/I90610280"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I90610280"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":true,"cited_by_count":0,"citation_normalized_percentile":{"value":0.8630137,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"31463","last_page":"31476"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11349","display_name":"Music Technology and Sound Studies","score":0.9358999729156494,"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/T11349","display_name":"Music Technology and Sound Studies","score":0.9358999729156494,"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/T11309","display_name":"Music and Audio Processing","score":0.01360000018030405,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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/T10941","display_name":"Musicology and Musical Analysis","score":0.013500000350177288,"subfield":{"id":"https://openalex.org/subfields/1210","display_name":"Music"},"field":{"id":"https://openalex.org/fields/12","display_name":"Arts and Humanities"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/focus","display_name":"Focus (optics)","score":0.2775000035762787},{"id":"https://openalex.org/keywords/perspective","display_name":"Perspective (graphical)","score":0.26460000872612},{"id":"https://openalex.org/keywords/narrative","display_name":"Narrative","score":0.2581999897956848},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.25440001487731934}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.505299985408783},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.334199994802475},{"id":"https://openalex.org/C46312422","wikidata":"https://www.wikidata.org/wiki/Q11024","display_name":"Communication","level":1,"score":0.3287000060081482},{"id":"https://openalex.org/C188147891","wikidata":"https://www.wikidata.org/wiki/Q147638","display_name":"Cognitive science","level":1,"score":0.30550000071525574},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.3041999936103821},{"id":"https://openalex.org/C192209626","wikidata":"https://www.wikidata.org/wiki/Q190909","display_name":"Focus (optics)","level":2,"score":0.2775000035762787},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.2700999975204468},{"id":"https://openalex.org/C12713177","wikidata":"https://www.wikidata.org/wiki/Q1900281","display_name":"Perspective (graphical)","level":2,"score":0.26460000872612},{"id":"https://openalex.org/C199033989","wikidata":"https://www.wikidata.org/wiki/Q1318295","display_name":"Narrative","level":2,"score":0.2581999897956848},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.25440001487731934},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.25360000133514404}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.18653/v1/2026.findings-acl.1574","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/2026.findings-acl.1574","pdf_url":"https://aclanthology.org/2026.findings-acl.1574.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 2026","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.18653/v1/2026.findings-acl.1574","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/2026.findings-acl.1574","pdf_url":"https://aclanthology.org/2026.findings-acl.1574.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 2026","raw_type":"proceedings-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W7166889606.pdf","grobid_xml":"https://content.openalex.org/works/W7166889606.grobid-xml"},"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"Generating":[0],"long":[1],"sequences":[2],"with":[3,109],"structural":[4,47],"coherence":[5],"remains":[6],"a":[7,100],"fundamental":[8],"challenge":[9,21],"for":[10],"autoregressive":[11,37,75,82,126],"models":[12],"across":[13],"sequential":[14],"generation":[15,72,103,150],"tasks.In":[16],"symbolic":[17,148],"music":[18,44,149,181],"generation,":[19],"this":[20,49],"is":[22,106],"particularly":[23],"pronounced,":[24],"as":[25,180],"existing":[26,157],"methods":[27,159],"are":[28],"constrained":[29],"by":[30,134],"the":[31,53,74,85,91,128,152,166],"severe":[32],"error":[33,79],"accumulation":[34,80],"inherent":[35],"in":[36,43,81,160,176],"models,":[38,127],"leading":[39],"to":[40,69,124],"poor":[41],"performance":[42,175],"quality":[45],"and":[46,105,143,163],"integrity.In":[48],"paper,":[50],"we":[51,88],"propose":[52,90],"Anchored":[54,93],"Cyclic":[55,94],"Generation":[56,95],"(ACG)":[57],"paradigm,":[58,87],"which":[59,98],"relies":[60],"on":[61,84],"anchor":[62],"features":[63],"from":[64],"previously":[65],"generated":[66],"musical":[67,117],"content":[68],"guide":[70],"subsequent":[71],"during":[73],"process,":[76],"effectively":[77],"mitigating":[78],"methods.Based":[83],"ACG":[86,129],"further":[89],"Hierarchical":[92],"(Hi-ACG)":[96],"framework,":[97],"employs":[99],"systematic":[101],"global-to-local":[102],"strategy":[104],"highly":[107],"compatible":[108],"our":[110],"specifically":[111],"designed":[112],"piano":[113],"token,":[114],"an":[115,135],"efficient":[116],"representation.The":[118],"experimental":[119],"results":[120],"demonstrate":[121],"that":[122],"compared":[123],"traditional":[125],"paradigm":[130],"reduces":[131],"cosine":[132],"distance":[133],"average":[136],"of":[137],"34.7%":[138],"between":[139],"predicted":[140],"feature":[141],"vectors":[142],"ground-truth":[144],"semantic":[145],"vectors.In":[146],"long-sequence":[147],"tasks,":[151],"Hi-ACG":[153],"framework":[154,167],"significantly":[155],"outperforms":[156],"mainstream":[158],"both":[161],"subjective":[162],"objective":[164],"evaluations.Furthermore,":[165],"exhibits":[168],"excellent":[169],"task":[170],"generalization":[171],"capabilities,":[172],"achieving":[173],"superior":[174],"related":[177],"tasks":[178],"such":[179],"completion.":[182]},"counts_by_year":[],"updated_date":"2026-08-18T07:49:30.821534","created_date":"2026-07-02T00:00:00"}
