{"id":"https://openalex.org/W4375869196","doi":"https://doi.org/10.1109/icassp49357.2023.10095721","title":"Prompt-Distiller: Few-Shot Knowledge Distillation for Prompt-Based Language Learners with Dual Contrastive Learning","display_name":"Prompt-Distiller: Few-Shot Knowledge Distillation for Prompt-Based Language Learners with Dual Contrastive Learning","publication_year":2023,"publication_date":"2023-05-05","ids":{"openalex":"https://openalex.org/W4375869196","doi":"https://doi.org/10.1109/icassp49357.2023.10095721"},"language":"en","primary_location":{"id":"doi:10.1109/icassp49357.2023.10095721","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp49357.2023.10095721","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ICASSP 2023 - 2023 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","raw_type":"proceedings-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/A5018701235","display_name":"Boyu Hou","orcid":"https://orcid.org/0000-0002-8637-4892"},"institutions":[{"id":"https://openalex.org/I158842170","display_name":"Chongqing University","ror":"https://ror.org/023rhb549","country_code":"CN","type":"education","lineage":["https://openalex.org/I158842170"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Boyu Hou","raw_affiliation_strings":["Chongqing University,College of Computer Science,Chongqing,China","College of Computer Science, Chongqing University, Chongqing, China"],"affiliations":[{"raw_affiliation_string":"Chongqing University,College of Computer Science,Chongqing,China","institution_ids":["https://openalex.org/I158842170"]},{"raw_affiliation_string":"College of Computer Science, Chongqing University, Chongqing, China","institution_ids":["https://openalex.org/I158842170"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100373451","display_name":"Chengyu Wang","orcid":"https://orcid.org/0000-0003-1010-9678"},"institutions":[{"id":"https://openalex.org/I45928872","display_name":"Alibaba Group (China)","ror":"https://ror.org/00k642b80","country_code":"CN","type":"company","lineage":["https://openalex.org/I45928872"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chengyu Wang","raw_affiliation_strings":["Alibaba Group,Hangzhou,China","Alibaba Group, Hangzhou, China"],"affiliations":[{"raw_affiliation_string":"Alibaba Group,Hangzhou,China","institution_ids":["https://openalex.org/I45928872"]},{"raw_affiliation_string":"Alibaba Group, Hangzhou, China","institution_ids":["https://openalex.org/I45928872"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100373745","display_name":"Xiaohong Chen","orcid":"https://orcid.org/0000-0002-9797-8384"},"institutions":[{"id":"https://openalex.org/I158842170","display_name":"Chongqing University","ror":"https://ror.org/023rhb549","country_code":"CN","type":"education","lineage":["https://openalex.org/I158842170"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaoqing Chen","raw_affiliation_strings":["Chongqing University,College of Computer Science,Chongqing,China","College of Computer Science, Chongqing University, Chongqing, China"],"affiliations":[{"raw_affiliation_string":"Chongqing University,College of Computer Science,Chongqing,China","institution_ids":["https://openalex.org/I158842170"]},{"raw_affiliation_string":"College of Computer Science, Chongqing University, Chongqing, China","institution_ids":["https://openalex.org/I158842170"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101851065","display_name":"Minghui Qiu","orcid":"https://orcid.org/0000-0002-5184-9886"},"institutions":[{"id":"https://openalex.org/I45928872","display_name":"Alibaba Group (China)","ror":"https://ror.org/00k642b80","country_code":"CN","type":"company","lineage":["https://openalex.org/I45928872"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Minghui Qiu","raw_affiliation_strings":["Alibaba Group,Hangzhou,China","Alibaba Group, Hangzhou, China"],"affiliations":[{"raw_affiliation_string":"Alibaba Group,Hangzhou,China","institution_ids":["https://openalex.org/I45928872"]},{"raw_affiliation_string":"Alibaba Group, Hangzhou, China","institution_ids":["https://openalex.org/I45928872"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5051395807","display_name":"Liang Feng","orcid":"https://orcid.org/0000-0002-8356-7242"},"institutions":[{"id":"https://openalex.org/I158842170","display_name":"Chongqing University","ror":"https://ror.org/023rhb549","country_code":"CN","type":"education","lineage":["https://openalex.org/I158842170"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Liang Feng","raw_affiliation_strings":["Chongqing University,College of Computer Science,Chongqing,China","College of Computer Science, Chongqing University, Chongqing, China"],"affiliations":[{"raw_affiliation_string":"Chongqing University,College of Computer Science,Chongqing,China","institution_ids":["https://openalex.org/I158842170"]},{"raw_affiliation_string":"College of Computer Science, Chongqing University, Chongqing, China","institution_ids":["https://openalex.org/I158842170"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5054621636","display_name":"Jun Huang","orcid":"https://orcid.org/0000-0002-7706-7081"},"institutions":[{"id":"https://openalex.org/I45928872","display_name":"Alibaba Group (China)","ror":"https://ror.org/00k642b80","country_code":"CN","type":"company","lineage":["https://openalex.org/I45928872"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jun Huang","raw_affiliation_strings":["Alibaba Group,Hangzhou,China","Alibaba Group, Hangzhou, China"],"affiliations":[{"raw_affiliation_string":"Alibaba Group,Hangzhou,China","institution_ids":["https://openalex.org/I45928872"]},{"raw_affiliation_string":"Alibaba Group, Hangzhou, China","institution_ids":["https://openalex.org/I45928872"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5018701235"],"corresponding_institution_ids":["https://openalex.org/I158842170"],"apc_list":null,"apc_paid":null,"fwci":0.5237,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.69775687,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"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":0.9998000264167786,"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":0.9998000264167786,"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":0.9976000189781189,"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/T11714","display_name":"Multimodal Machine Learning Applications","score":0.9976000189781189,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/overfitting","display_name":"Overfitting","score":0.8924463987350464},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7643023729324341},{"id":"https://openalex.org/keywords/margin","display_name":"Margin (machine learning)","score":0.6826553344726562},{"id":"https://openalex.org/keywords/distillation","display_name":"Distillation","score":0.6741275787353516},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6330314874649048},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.6094955801963806},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.5336245894432068},{"id":"https://openalex.org/keywords/dual","display_name":"Dual (grammatical number)","score":0.45650798082351685},{"id":"https://openalex.org/keywords/shot","display_name":"Shot (pellet)","score":0.43418341875076294},{"id":"https://openalex.org/keywords/one-shot","display_name":"One shot","score":0.4247596263885498},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.3639574646949768},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.0856630802154541}],"concepts":[{"id":"https://openalex.org/C22019652","wikidata":"https://www.wikidata.org/wiki/Q331309","display_name":"Overfitting","level":3,"score":0.8924463987350464},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7643023729324341},{"id":"https://openalex.org/C774472","wikidata":"https://www.wikidata.org/wiki/Q6760393","display_name":"Margin (machine learning)","level":2,"score":0.6826553344726562},{"id":"https://openalex.org/C204030448","wikidata":"https://www.wikidata.org/wiki/Q101017","display_name":"Distillation","level":2,"score":0.6741275787353516},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6330314874649048},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.6094955801963806},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5336245894432068},{"id":"https://openalex.org/C2780980858","wikidata":"https://www.wikidata.org/wiki/Q110022","display_name":"Dual (grammatical number)","level":2,"score":0.45650798082351685},{"id":"https://openalex.org/C2778344882","wikidata":"https://www.wikidata.org/wiki/Q278938","display_name":"Shot (pellet)","level":2,"score":0.43418341875076294},{"id":"https://openalex.org/C2992734406","wikidata":"https://www.wikidata.org/wiki/Q413267","display_name":"One shot","level":2,"score":0.4247596263885498},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.3639574646949768},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.0856630802154541},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"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/C124952713","wikidata":"https://www.wikidata.org/wiki/Q8242","display_name":"Literature","level":1,"score":0.0},{"id":"https://openalex.org/C142362112","wikidata":"https://www.wikidata.org/wiki/Q735","display_name":"Art","level":0,"score":0.0},{"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/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:10.1109/icassp49357.2023.10095721","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp49357.2023.10095721","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ICASSP 2023 - 2023 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Quality Education","score":0.6200000047683716,"id":"https://metadata.un.org/sdg/4"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":39,"referenced_works":["https://openalex.org/W1840435438","https://openalex.org/W2115584598","https://openalex.org/W2149048832","https://openalex.org/W2163455955","https://openalex.org/W2251939518","https://openalex.org/W2293502436","https://openalex.org/W2842511635","https://openalex.org/W2924902521","https://openalex.org/W2963846996","https://openalex.org/W2965373594","https://openalex.org/W2969601108","https://openalex.org/W2970454332","https://openalex.org/W3011574394","https://openalex.org/W3034368386","https://openalex.org/W3088409176","https://openalex.org/W3098267758","https://openalex.org/W3105966348","https://openalex.org/W3138154797","https://openalex.org/W3153427360","https://openalex.org/W3173777717","https://openalex.org/W3174784402","https://openalex.org/W3185341429","https://openalex.org/W3198659451","https://openalex.org/W3205270560","https://openalex.org/W3207699717","https://openalex.org/W4205523161","https://openalex.org/W4286987939","https://openalex.org/W4297808394","https://openalex.org/W6677506011","https://openalex.org/W6691459498","https://openalex.org/W6696936656","https://openalex.org/W6760732026","https://openalex.org/W6766673545","https://openalex.org/W6766795243","https://openalex.org/W6797393643","https://openalex.org/W6798057236","https://openalex.org/W6800875267","https://openalex.org/W6802317279","https://openalex.org/W6802386650"],"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/W2357748469","https://openalex.org/W2392917037","https://openalex.org/W2046675961"],"abstract_inverted_index":{"Prompt-based":[0],"learning":[1,6,45,104],"has":[2],"improved":[3],"the":[4,43,53,63,70,80,95],"few-shot":[5,44,72],"performance":[7],"of":[8,55,113,120],"large-scale":[9,20],"Pre-trained":[10],"Language":[11],"Models":[12],"(PLMs).":[13],"Yet,":[14],"it":[15],"is":[16,31,47],"challenging":[17],"to":[18,52,83,93,106],"deploy":[19],"PLMs":[21,41],"in":[22,42],"resource-constrained":[23],"environments":[24],"for":[25,35,62,75],"online":[26],"applications.":[27],"Knowledge":[28],"Distillation":[29],"(KD)":[30],"a":[32,48,102,137],"promising":[33],"approach":[34],"PLM":[36],"compression.":[37],"However,":[38],"distilling":[39],"prompt-tuned":[40,76,90],"setting":[46],"non-trivial":[49],"problem":[50],"due":[51],"lack":[54],"task-specific":[56],"training":[57],"data":[58],"and":[59,89,122],"KD":[60,73],"techniques":[61],"new":[64],"prompting":[65],"paradigm.":[66],"We":[67,99],"propose":[68],"Prompt-Distiller,":[69],"first":[71],"algorithm":[74],"PLMs,":[77],"which":[78],"forces":[79],"student":[81,123],"model":[82,96],"learn":[84,107],"from":[85,110],"both":[86],"its":[87],"pre-trained":[88],"teacher":[91,114,121],"models":[92],"alleviate":[94],"overfitting":[97],"problem.":[98],"further":[100],"design":[101],"contrastive":[103],"technique":[105],"higher-order":[108],"dependencies":[109],"intermediate-layer":[111],"representations":[112],"models,":[115],"considering":[116],"different":[117],"knowledge":[118],"capacities":[119],"models.":[124],"Extensive":[125],"experiments":[126],"over":[127],"various":[128],"datasets":[129],"show":[130],"that":[131],"Prompt-Distiller":[132],"consistently":[133],"outperforms":[134],"baselines":[135],"by":[136],"large":[138],"margin.":[139]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}