{"id":"https://openalex.org/W7166807959","doi":"https://doi.org/10.18653/v1/2026.acl-long.107","title":"GenDis: Generative-Discriminative Dual-View Co-Training for Generalized Category Discovery","display_name":"GenDis: Generative-Discriminative Dual-View Co-Training for Generalized Category Discovery","publication_year":2026,"publication_date":"2026-01-01","ids":{"openalex":"https://openalex.org/W7166807959","doi":"https://doi.org/10.18653/v1/2026.acl-long.107"},"language":null,"primary_location":{"id":"doi:10.18653/v1/2026.acl-long.107","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/2026.acl-long.107","pdf_url":"https://aclanthology.org/2026.acl-long.107.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":"Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://aclanthology.org/2026.acl-long.107.pdf","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5139778115","display_name":"Xi Chen","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Xi Chen","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5139841422","display_name":"Chuan Qin","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Chuan Qin","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5139797770","display_name":"Jinpeng Li","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Jinpeng Li","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5139720432","display_name":"Shasha Hu","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Shasha Hu","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5139763030","display_name":"Chao Wang","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Chao Wang","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5139779856","display_name":"Hengshu Zhu","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Hengshu Zhu","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5139769466","display_name":"Hui Xiong","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Hui Xiong","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":0.0,"has_fulltext":true,"cited_by_count":0,"citation_normalized_percentile":{"value":0.79793063,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"2330","last_page":"2351"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10028","display_name":"Topic Modeling","score":0.14470000565052032,"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":0.14470000565052032,"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/T11307","display_name":"Domain Adaptation and Few-Shot Learning","score":0.13699999451637268,"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/T11550","display_name":"Text and Document Classification Technologies","score":0.10279999673366547,"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/set","display_name":"Set (abstract data type)","score":0.32710000872612},{"id":"https://openalex.org/keywords/sequence","display_name":"Sequence (biology)","score":0.2639000117778778},{"id":"https://openalex.org/keywords/identification","display_name":"Identification (biology)","score":0.259799987077713},{"id":"https://openalex.org/keywords/generalization","display_name":"Generalization","score":0.25380000472068787},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.2485000044107437}],"concepts":[{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.4496000111103058},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.3587000072002411},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3409999907016754},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.32710000872612},{"id":"https://openalex.org/C2778112365","wikidata":"https://www.wikidata.org/wiki/Q3511065","display_name":"Sequence (biology)","level":2,"score":0.2639000117778778},{"id":"https://openalex.org/C116834253","wikidata":"https://www.wikidata.org/wiki/Q2039217","display_name":"Identification (biology)","level":2,"score":0.259799987077713},{"id":"https://openalex.org/C177148314","wikidata":"https://www.wikidata.org/wiki/Q170084","display_name":"Generalization","level":2,"score":0.25380000472068787},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.2485000044107437},{"id":"https://openalex.org/C2777212361","wikidata":"https://www.wikidata.org/wiki/Q5127848","display_name":"Class (philosophy)","level":2,"score":0.2451000064611435},{"id":"https://openalex.org/C153046414","wikidata":"https://www.wikidata.org/wiki/Q12482","display_name":"Set theory","level":3,"score":0.2442999929189682}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.18653/v1/2026.acl-long.107","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/2026.acl-long.107","pdf_url":"https://aclanthology.org/2026.acl-long.107.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":"Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.18653/v1/2026.acl-long.107","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/2026.acl-long.107","pdf_url":"https://aclanthology.org/2026.acl-long.107.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":"Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)","raw_type":"proceedings-article"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/10","display_name":"Reduced inequalities","score":0.7994323968887329}],"awards":[{"id":"https://openalex.org/G138355835","display_name":null,"funder_award_id":"62506352","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G1782397203","display_name":null,"funder_award_id":"92370204","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G6130982387","display_name":null,"funder_award_id":"2023B1515120057","funder_id":"https://openalex.org/F4320337111","funder_display_name":"Basic and Applied Basic Research Foundation of Guangdong Province"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320321133","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35"},{"id":"https://openalex.org/F4320329860","display_name":"National Science and Technology Major Project","ror":null},{"id":"https://openalex.org/F4320334897","display_name":"Natural Science Foundation of Anhui Province","ror":null},{"id":"https://openalex.org/F4320337111","display_name":"Basic and Applied Basic Research Foundation of Guangdong Province","ror":null}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W7166807959.pdf","grobid_xml":"https://content.openalex.org/works/W7166807959.grobid-xml"},"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"Generalized":[0],"Category":[1],"Discovery":[2],"(GCD)":[3],"aims":[4],"to":[5,32,40,49],"identify":[6],"both":[7],"known":[8],"and":[9,37,60,77,114],"novel":[10,99],"categories":[11],"from":[12,57],"partially":[13],"labeled":[14],"data,":[15],"reflecting":[16],"more":[17],"realistic":[18],"open-world":[19],"learning":[20],"scenarios.However,":[21],"most":[22],"existing":[23],"methods":[24],"rely":[25],"solely":[26],"on":[27,34,124],"one-hot":[28],"discriminative":[29,75],"supervision,":[30],"leading":[31],"overfitting":[33],"seen":[35],"classes":[36],"poor":[38],"generalization":[39],"unseen":[41],"ones.Recent":[42],"advances":[43],"introduce":[44],"large":[45],"language":[46],"models":[47],"(LLMs)":[48],"incorporate":[50],"external":[51],"semantics,":[52],"yet":[53],"they":[54],"often":[55],"suffer":[56],"semantic-label":[58],"misalignment":[59],"weak":[61],"semantic":[62,78],"integration":[63],"during":[64],"training.We":[65],"propose":[66],"GenDis,":[67],"a":[68,89,115],"Generative-Discriminative":[69],"Dual-View":[70],"Co-Training":[71],"framework":[72],"that":[73,129],"unifies":[74],"classification":[76],"label":[79],"generation":[80],"within":[81],"an":[82],"LLM.Discriminative":[83],"pseudo-labels":[84],"guide":[85],"the":[86,104,136],"formation":[87],"of":[88,138],"separable":[90],"generative":[91],"latent":[92],"space,":[93],"enabling":[94],"semantically":[95,142],"meaningful":[96],"supervision":[97],"for":[98,120],"classes.To":[100],"ensure":[101],"consistency":[102],"between":[103],"two":[105],"views,":[106],"we":[107],"employ":[108],"Canonical":[109],"Correlation":[110],"Analysis":[111],"(CCA)-based":[112],"alignment":[113],"curriculumguided,":[116],"dispersion-aware":[117],"pseudo-labeling":[118],"strategy":[119],"iterative":[121],"refinement.Extensive":[122],"experiments":[123],"five":[125],"GCD":[126],"benchmarks":[127],"demonstrate":[128],"GenDis":[130],"substantially":[131],"outperforms":[132],"prior":[133],"methods,":[134],"validating":[135],"effectiveness":[137],"dual-view":[139],"co-training":[140],"with":[141],"enriched":[143],"supervision.":[144]},"counts_by_year":[],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2026-07-02T00:00:00"}