{"id":"https://openalex.org/W4387185249","doi":"https://doi.org/10.3233/faia230591","title":"Specializing Small Language Models Towards Complex Style Transfer via Latent Attribute Pre-Training","display_name":"Specializing Small Language Models Towards Complex Style Transfer via Latent Attribute Pre-Training","publication_year":2023,"publication_date":"2023-09-28","ids":{"openalex":"https://openalex.org/W4387185249","doi":"https://doi.org/10.3233/faia230591"},"language":"en","primary_location":{"id":"doi:10.3233/faia230591","is_oa":true,"landing_page_url":"https://doi.org/10.3233/faia230591","pdf_url":"https://ebooks.iospress.nl/pdf/doi/10.3233/FAIA230591","source":{"id":"https://openalex.org/S4210201731","display_name":"Frontiers in artificial intelligence and applications","issn_l":"0922-6389","issn":["0922-6389","1879-8314"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by-nc","license_id":"https://openalex.org/licenses/cc-by-nc","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Frontiers in Artificial Intelligence and Applications","raw_type":"book-chapter"},"type":"book-chapter","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"hybrid","oa_url":"https://ebooks.iospress.nl/pdf/doi/10.3233/FAIA230591","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5022197878","display_name":"Ruiqi Xu","orcid":"https://orcid.org/0009-0001-7874-0725"},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Ruiqi Xu","raw_affiliation_strings":["Platinum AI Inc., China"],"affiliations":[{"raw_affiliation_string":"Platinum AI Inc., China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100768896","display_name":"Yongfeng Huang","orcid":"https://orcid.org/0000-0003-3825-2230"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Yongfeng Huang","raw_affiliation_strings":["Platinum AI Inc., China"],"affiliations":[{"raw_affiliation_string":"Platinum AI Inc., China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5067882551","display_name":"Xin Chen","orcid":"https://orcid.org/0000-0003-3285-058X"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Xin Chen","raw_affiliation_strings":["Platinum AI Inc., China"],"affiliations":[{"raw_affiliation_string":"Platinum AI Inc., China","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100351914","display_name":"Lin Zhang","orcid":"https://orcid.org/0000-0003-1049-3104"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Lin Zhang","raw_affiliation_strings":["Symbiotic Matrix, China"],"affiliations":[{"raw_affiliation_string":"Symbiotic Matrix, China","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5022197878"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.0421,"has_fulltext":true,"cited_by_count":2,"citation_normalized_percentile":{"value":0.78880317,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":95,"max":96},"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/T10028","display_name":"Topic Modeling","score":0.9914000034332275,"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":0.9914000034332275,"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/T10201","display_name":"Speech Recognition and Synthesis","score":0.9574000239372253,"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/T10181","display_name":"Natural Language Processing Techniques","score":0.9182000160217285,"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/computer-science","display_name":"Computer science","score":0.8063616752624512},{"id":"https://openalex.org/keywords/style","display_name":"Style (visual arts)","score":0.6429030895233154},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5648818016052246},{"id":"https://openalex.org/keywords/transfer-of-learning","display_name":"Transfer of learning","score":0.5445951223373413},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.5295349359512329},{"id":"https://openalex.org/keywords/training-set","display_name":"Training set","score":0.5180276036262512},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.4931010901927948},{"id":"https://openalex.org/keywords/quality","display_name":"Quality (philosophy)","score":0.49241840839385986},{"id":"https://openalex.org/keywords/key","display_name":"Key (lock)","score":0.4461032748222351}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8063616752624512},{"id":"https://openalex.org/C2776445246","wikidata":"https://www.wikidata.org/wiki/Q1792644","display_name":"Style (visual arts)","level":2,"score":0.6429030895233154},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5648818016052246},{"id":"https://openalex.org/C150899416","wikidata":"https://www.wikidata.org/wiki/Q1820378","display_name":"Transfer of learning","level":2,"score":0.5445951223373413},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.5295349359512329},{"id":"https://openalex.org/C51632099","wikidata":"https://www.wikidata.org/wiki/Q3985153","display_name":"Training set","level":2,"score":0.5180276036262512},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.4931010901927948},{"id":"https://openalex.org/C2779530757","wikidata":"https://www.wikidata.org/wiki/Q1207505","display_name":"Quality (philosophy)","level":2,"score":0.49241840839385986},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.4461032748222351},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.0},{"id":"https://openalex.org/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","level":1,"score":0.0},{"id":"https://openalex.org/C166957645","wikidata":"https://www.wikidata.org/wiki/Q23498","display_name":"Archaeology","level":1,"score":0.0},{"id":"https://openalex.org/C95457728","wikidata":"https://www.wikidata.org/wiki/Q309","display_name":"History","level":0,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.3233/faia230591","is_oa":true,"landing_page_url":"https://doi.org/10.3233/faia230591","pdf_url":"https://ebooks.iospress.nl/pdf/doi/10.3233/FAIA230591","source":{"id":"https://openalex.org/S4210201731","display_name":"Frontiers in artificial intelligence and applications","issn_l":"0922-6389","issn":["0922-6389","1879-8314"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by-nc","license_id":"https://openalex.org/licenses/cc-by-nc","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Frontiers in Artificial Intelligence and Applications","raw_type":"book-chapter"}],"best_oa_location":{"id":"doi:10.3233/faia230591","is_oa":true,"landing_page_url":"https://doi.org/10.3233/faia230591","pdf_url":"https://ebooks.iospress.nl/pdf/doi/10.3233/FAIA230591","source":{"id":"https://openalex.org/S4210201731","display_name":"Frontiers in artificial intelligence and applications","issn_l":"0922-6389","issn":["0922-6389","1879-8314"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by-nc","license_id":"https://openalex.org/licenses/cc-by-nc","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Frontiers in Artificial Intelligence and Applications","raw_type":"book-chapter"},"sustainable_development_goals":[{"display_name":"Quality Education","score":0.6299999952316284,"id":"https://metadata.un.org/sdg/4"}],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":false},"content_urls":{"pdf":"https://content.openalex.org/works/W4387185249.pdf"},"referenced_works_count":37,"referenced_works":["https://openalex.org/W2311783643","https://openalex.org/W2617566453","https://openalex.org/W2732863878","https://openalex.org/W2797227342","https://openalex.org/W2798851324","https://openalex.org/W2801454967","https://openalex.org/W2896457183","https://openalex.org/W2914442349","https://openalex.org/W2962937198","https://openalex.org/W2963034998","https://openalex.org/W2963241138","https://openalex.org/W2963532001","https://openalex.org/W2963667126","https://openalex.org/W2964352131","https://openalex.org/W2965373594","https://openalex.org/W2969646439","https://openalex.org/W2970562804","https://openalex.org/W2971196067","https://openalex.org/W2974149596","https://openalex.org/W2979995813","https://openalex.org/W2981852735","https://openalex.org/W2990530823","https://openalex.org/W2998006249","https://openalex.org/W3014393826","https://openalex.org/W3033129824","https://openalex.org/W3033187248","https://openalex.org/W3034917202","https://openalex.org/W3035068386","https://openalex.org/W3096804376","https://openalex.org/W3113202745","https://openalex.org/W3122890974","https://openalex.org/W3134652006","https://openalex.org/W3175315904","https://openalex.org/W3197754201","https://openalex.org/W3211686893","https://openalex.org/W4287552504","https://openalex.org/W4288089799"],"related_works":["https://openalex.org/W2356229341","https://openalex.org/W2349768204","https://openalex.org/W3201126466","https://openalex.org/W4313326281","https://openalex.org/W2140798747","https://openalex.org/W574867512","https://openalex.org/W2387271333","https://openalex.org/W2948169060","https://openalex.org/W4282827391","https://openalex.org/W581389233"],"abstract_inverted_index":{"In":[0],"this":[1],"work,":[2],"we":[3,78,116],"introduce":[4],"the":[5,27,43,80],"concept":[6],"of":[7,32,82,103,131],"complex":[8,15,56],"text":[9,16,57,104,133],"style":[10,58,90,134],"transfer":[11,135],"tasks,":[12],"and":[13,39,70,123],"constructed":[14],"datasets":[17],"based":[18,107],"on":[19,108],"two":[20],"widely":[21],"applicable":[22],"scenarios.":[23],"Our":[24],"dataset":[25],"is":[26],"first":[28],"large-scale":[29],"data":[30,65],"set":[31],"its":[33],"kind,":[34],"with":[35,88,110,120],"700":[36],"rephrased":[37],"sentences":[38,41],"1,000":[40],"from":[42],"game":[44],"Genshin":[45],"Impact.":[46],"While":[47],"large":[48],"language":[49],"models":[50,84],"(LLM)":[51],"have":[52,61],"shown":[53],"promise":[54],"in":[55],"transfer,":[59],"they":[60],"drawbacks":[62],"such":[63],"as":[64],"privacy":[66],"concerns,":[67],"network":[68],"instability,":[69],"high":[71],"deployment":[72],"costs.":[73],"To":[74],"address":[75],"these":[76],"issues,":[77],"explore":[79],"effectiveness":[81],"small":[83],"(less":[85],"than":[86],"T5-3B)":[87],"implicit":[89],"pre-training":[91],"through":[92],"contrastive":[93],"learning.":[94],"We":[95],"also":[96],"propose":[97],"a":[98],"method":[99],"for":[100],"automated":[101],"evaluation":[102],"generation":[105],"quality":[106],"alignment":[109],"human":[111],"evaluations":[112],"using":[113],"ChatGPT.":[114],"Finally,":[115],"compare":[117],"our":[118,126],"approach":[119],"existing":[121],"methods":[122],"show":[124],"that":[125],"model":[127],"achieves":[128],"state-of-art":[129],"performances":[130],"few-shot":[132],"models.":[136]},"counts_by_year":[{"year":2025,"cited_by_count":2}],"updated_date":"2025-12-22T23:10:17.713674","created_date":"2025-10-10T00:00:00"}
