{"id":"https://openalex.org/W4392345175","doi":"https://doi.org/10.1142/s0218001424510066","title":"Few-Shot Text Classification with an Efficient Prompt Tuning Method in Meta-Learning Framework","display_name":"Few-Shot Text Classification with an Efficient Prompt Tuning Method in Meta-Learning Framework","publication_year":2024,"publication_date":"2024-03-02","ids":{"openalex":"https://openalex.org/W4392345175","doi":"https://doi.org/10.1142/s0218001424510066"},"language":"en","primary_location":{"id":"doi:10.1142/s0218001424510066","is_oa":false,"landing_page_url":"https://doi.org/10.1142/s0218001424510066","pdf_url":null,"source":{"id":"https://openalex.org/S41486457","display_name":"International Journal of Pattern Recognition and Artificial Intelligence","issn_l":"0218-0014","issn":["0218-0014","1793-6381"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319815","host_organization_name":"World Scientific","host_organization_lineage":["https://openalex.org/P4310319815"],"host_organization_lineage_names":["World Scientific"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Pattern Recognition and Artificial Intelligence","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5051158453","display_name":"Xiaobao Lv","orcid":"https://orcid.org/0000-0003-0711-8936"},"institutions":[{"id":"https://openalex.org/I76569877","display_name":"Southeast University","ror":"https://ror.org/04ct4d772","country_code":"CN","type":"education","lineage":["https://openalex.org/I76569877"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Xiaobao Lv","raw_affiliation_strings":["School of Computer Science and Engineering, Southeast University, 2 Southeast University Rd, Nanjing, Jiangsu, P. R. China","Zhongke Shuguang Nanjing Research Institute Co. Ltd., 519 Chengxin Rd, Nanjing, Jiangsu, P. R. China"],"raw_orcid":"https://orcid.org/0000-0003-0711-8936","affiliations":[{"raw_affiliation_string":"School of Computer Science and Engineering, Southeast University, 2 Southeast University Rd, Nanjing, Jiangsu, P. R. China","institution_ids":["https://openalex.org/I76569877"]},{"raw_affiliation_string":"Zhongke Shuguang Nanjing Research Institute Co. Ltd., 519 Chengxin Rd, Nanjing, Jiangsu, P. R. China","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5051158453"],"corresponding_institution_ids":["https://openalex.org/I76569877"],"apc_list":null,"apc_paid":null,"fwci":0.5557,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.68589002,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":95},"biblio":{"volume":"38","issue":"03","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":0.9991000294685364,"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":0.9991000294685364,"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":0.9947999715805054,"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":0.9793999791145325,"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":0.7141152620315552},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7038344144821167},{"id":"https://openalex.org/keywords/shot","display_name":"Shot (pellet)","score":0.699129045009613},{"id":"https://openalex.org/keywords/one-shot","display_name":"One shot","score":0.5642237067222595},{"id":"https://openalex.org/keywords/meta-learning","display_name":"Meta learning (computer science)","score":0.5119298696517944},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.5067785382270813},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3512597680091858},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.3286028802394867},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.17562627792358398},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.08047285676002502}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7141152620315552},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7038344144821167},{"id":"https://openalex.org/C2778344882","wikidata":"https://www.wikidata.org/wiki/Q278938","display_name":"Shot (pellet)","level":2,"score":0.699129045009613},{"id":"https://openalex.org/C2992734406","wikidata":"https://www.wikidata.org/wiki/Q413267","display_name":"One shot","level":2,"score":0.5642237067222595},{"id":"https://openalex.org/C2781002164","wikidata":"https://www.wikidata.org/wiki/Q6822311","display_name":"Meta learning (computer science)","level":3,"score":0.5119298696517944},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5067785382270813},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3512597680091858},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.3286028802394867},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.17562627792358398},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.08047285676002502},{"id":"https://openalex.org/C201995342","wikidata":"https://www.wikidata.org/wiki/Q682496","display_name":"Systems engineering","level":1,"score":0.0},{"id":"https://openalex.org/C78519656","wikidata":"https://www.wikidata.org/wiki/Q101333","display_name":"Mechanical engineering","level":1,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C178790620","wikidata":"https://www.wikidata.org/wiki/Q11351","display_name":"Organic chemistry","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1142/s0218001424510066","is_oa":false,"landing_page_url":"https://doi.org/10.1142/s0218001424510066","pdf_url":null,"source":{"id":"https://openalex.org/S41486457","display_name":"International Journal of Pattern Recognition and Artificial Intelligence","issn_l":"0218-0014","issn":["0218-0014","1793-6381"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319815","host_organization_name":"World Scientific","host_organization_lineage":["https://openalex.org/P4310319815"],"host_organization_lineage_names":["World Scientific"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Pattern Recognition and Artificial Intelligence","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.5099999904632568,"display_name":"Quality Education","id":"https://metadata.un.org/sdg/4"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":13,"referenced_works":["https://openalex.org/W2115733720","https://openalex.org/W2559655401","https://openalex.org/W2595697910","https://openalex.org/W2612690371","https://openalex.org/W2962739339","https://openalex.org/W2963777632","https://openalex.org/W3135400612","https://openalex.org/W3174770825","https://openalex.org/W4309321756","https://openalex.org/W4321784571","https://openalex.org/W4372232596","https://openalex.org/W4385572887","https://openalex.org/W4387435121"],"related_works":["https://openalex.org/W2497720472","https://openalex.org/W4292659306","https://openalex.org/W3044321615","https://openalex.org/W4294892107","https://openalex.org/W2806221744","https://openalex.org/W2326937258","https://openalex.org/W394267150","https://openalex.org/W2773965352","https://openalex.org/W2357748469","https://openalex.org/W2392917037"],"abstract_inverted_index":{"Meta-learning":[0],"stands":[1],"as":[2],"a":[3,113],"prevalent":[4],"framework":[5],"utilized":[6],"in":[7,144],"few-shot":[8,105],"learning":[9],"methods.":[10],"Nonetheless,":[11,47],"its":[12],"efficacy":[13,50],"hinges":[14],"on":[15,39,125],"substantial":[16],"data":[17,150],"availability":[18],"during":[19],"meta-training.":[20],"Recent":[21],"work":[22],"adeptly":[23],"tackled":[24],"this":[25,69],"hurdle":[26],"by":[27,121],"synergizing":[28],"prompt":[29,75],"tuning":[30,64,76],"with":[31,136],"the":[32,48,52,80,87,95,100,126,160],"meta-learning":[33,81],"paradigm,":[34],"consequently":[35],"attaining":[36],"unparalleled":[37],"performance":[38],"four":[40],"benchmarks":[41],"(FewRel,":[42],"HuffPost,":[43],"Reuters":[44],"and":[45,90,93],"Amazon).":[46],"implementation":[49],"of":[51,103],"previous":[53],"method":[54,97],"leaves":[55],"room":[56],"for":[57],"enhancement,":[58],"which":[59,107,140],"is":[60,141,151,156],"especially":[61],"crucial":[62],"when":[63,134],"larger":[65],"language":[66],"models.":[67],"To":[68],"end,":[70],"we":[71],"introduce":[72],"another":[73],"expedited":[74],"approach":[77,85],"nested":[78],"within":[79],"framework.":[82],"The":[83,153],"novel":[84],"normalizes":[86],"label":[88],"information":[89,92],"sample":[91],"uses":[94],"regression":[96],"to":[98,158],"obtain":[99],"closed-form":[101],"solution":[102],"each":[104],"task,":[106],"significantly":[108],"enhances":[109],"inference":[110],"speed,":[111],"achieving":[112],"twofold":[114],"improvement,":[115],"while":[116],"concurrently":[117],"elevating":[118],"average":[119],"accuracy":[120],"[Formula:":[122],"see":[123],"text]%":[124],"same":[127],"benchmarks.":[128],"Moreover,":[129],"it":[130],"demonstrates":[131],"enhanced":[132],"stability":[133],"faced":[135],"limited":[137],"meta-training":[138],"data,":[139],"more":[142],"applicable":[143],"many":[145],"real":[146],"scenarios":[147],"where":[148],"parallel":[149],"rare.":[152],"source":[154],"code":[155],"available":[157],"reproduce":[159],"results":[161],"(http://github.com/Dr-Lv/EMPT).":[162]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1}],"updated_date":"2026-05-21T06:26:12.895304","created_date":"2025-10-10T00:00:00"}