{"id":"https://openalex.org/W4400489206","doi":"https://doi.org/10.1109/cscwd61410.2024.10580281","title":"A Simple Method to Improve the Performance of Small Pre-trained Language Models on Few-shot Tasks","display_name":"A Simple Method to Improve the Performance of Small Pre-trained Language Models on Few-shot Tasks","publication_year":2024,"publication_date":"2024-05-08","ids":{"openalex":"https://openalex.org/W4400489206","doi":"https://doi.org/10.1109/cscwd61410.2024.10580281"},"language":"en","primary_location":{"id":"doi:10.1109/cscwd61410.2024.10580281","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/cscwd61410.2024.10580281","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 27th International Conference on Computer Supported Cooperative Work in Design (CSCWD)","raw_type":"proceedings-article"},"type":"conference-paper","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/A5100415541","display_name":"Yanan Zhang","orcid":"https://orcid.org/0009-0005-9672-2001"},"institutions":[{"id":"https://openalex.org/I132369690","display_name":"Tianjin University of Science and Technology","ror":"https://ror.org/018rbtf37","country_code":"CN","type":"education","lineage":["https://openalex.org/I132369690"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yanan Zhang","raw_affiliation_strings":["Tianjin University of Science and Technology,School of Artificial Intelligence,Tianjin,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Tianjin University of Science and Technology,School of Artificial Intelligence,Tianjin,China","institution_ids":["https://openalex.org/I132369690"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5005717077","display_name":"Chaofan Wu","orcid":null},"institutions":[{"id":"https://openalex.org/I132369690","display_name":"Tianjin University of Science and Technology","ror":"https://ror.org/018rbtf37","country_code":"CN","type":"education","lineage":["https://openalex.org/I132369690"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chaofan Wu","raw_affiliation_strings":["Tianjin University of Science and Technology,School of Artificial Intelligence,Tianjin,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Tianjin University of Science and Technology,School of Artificial Intelligence,Tianjin,China","institution_ids":["https://openalex.org/I132369690"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5106570833","display_name":"Rongkun Shi","orcid":"https://orcid.org/0000-0003-2395-7289"},"institutions":[{"id":"https://openalex.org/I132369690","display_name":"Tianjin University of Science and Technology","ror":"https://ror.org/018rbtf37","country_code":"CN","type":"education","lineage":["https://openalex.org/I132369690"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Rongkun Shi","raw_affiliation_strings":["Tianjin University of Science and Technology,School of Artificial Intelligence,Tianjin,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Tianjin University of Science and Technology,School of Artificial Intelligence,Tianjin,China","institution_ids":["https://openalex.org/I132369690"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100741029","display_name":"Yiying Zhang","orcid":"https://orcid.org/0000-0003-2131-1257"},"institutions":[{"id":"https://openalex.org/I132369690","display_name":"Tianjin University of Science and Technology","ror":"https://ror.org/018rbtf37","country_code":"CN","type":"education","lineage":["https://openalex.org/I132369690"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yiying Zhang","raw_affiliation_strings":["Tianjin University of Science and Technology,School of Artificial Intelligence,Tianjin,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Tianjin University of Science and Technology,School of Artificial Intelligence,Tianjin,China","institution_ids":["https://openalex.org/I132369690"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I132369690"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":"33","issue":null,"first_page":"1572","last_page":"1577"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10028","display_name":"Topic Modeling","score":0.9919000267982483,"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":0.9919000267982483,"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":0.9797999858856201,"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":0.9261999726295471,"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/computer-science","display_name":"Computer science","score":0.7947304248809814},{"id":"https://openalex.org/keywords/simple","display_name":"Simple (philosophy)","score":0.7420646548271179},{"id":"https://openalex.org/keywords/shot","display_name":"Shot (pellet)","score":0.6782928109169006},{"id":"https://openalex.org/keywords/one-shot","display_name":"One shot","score":0.5192049145698547},{"id":"https://openalex.org/keywords/language-model","display_name":"Language model","score":0.500819206237793},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.47251519560813904},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4193874001502991},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.40625661611557007},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.32805877923965454},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.32108134031295776},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.09021225571632385}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7947304248809814},{"id":"https://openalex.org/C2780586882","wikidata":"https://www.wikidata.org/wiki/Q7520643","display_name":"Simple (philosophy)","level":2,"score":0.7420646548271179},{"id":"https://openalex.org/C2778344882","wikidata":"https://www.wikidata.org/wiki/Q278938","display_name":"Shot (pellet)","level":2,"score":0.6782928109169006},{"id":"https://openalex.org/C2992734406","wikidata":"https://www.wikidata.org/wiki/Q413267","display_name":"One shot","level":2,"score":0.5192049145698547},{"id":"https://openalex.org/C137293760","wikidata":"https://www.wikidata.org/wiki/Q3621696","display_name":"Language model","level":2,"score":0.500819206237793},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.47251519560813904},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4193874001502991},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.40625661611557007},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.32805877923965454},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.32108134031295776},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.09021225571632385},{"id":"https://openalex.org/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"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},{"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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/cscwd61410.2024.10580281","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/cscwd61410.2024.10580281","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 27th International Conference on Computer Supported Cooperative Work in Design (CSCWD)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":37,"referenced_works":["https://openalex.org/W2062466023","https://openalex.org/W2070246124","https://openalex.org/W2114524997","https://openalex.org/W2163455955","https://openalex.org/W2593833795","https://openalex.org/W2604799547","https://openalex.org/W2607303097","https://openalex.org/W2775774141","https://openalex.org/W2798665661","https://openalex.org/W2923014074","https://openalex.org/W2964082993","https://openalex.org/W2965373594","https://openalex.org/W2970476646","https://openalex.org/W3034942609","https://openalex.org/W3114632476","https://openalex.org/W3168867926","https://openalex.org/W3173777717","https://openalex.org/W3183859557","https://openalex.org/W3185341429","https://openalex.org/W3196642073","https://openalex.org/W4206636317","https://openalex.org/W4233907442","https://openalex.org/W4285247752","https://openalex.org/W4287890941","https://openalex.org/W4292779060","https://openalex.org/W4385245566","https://openalex.org/W4386187806","https://openalex.org/W6691459498","https://openalex.org/W6755207826","https://openalex.org/W6766673545","https://openalex.org/W6773357711","https://openalex.org/W6778883912","https://openalex.org/W6796581206","https://openalex.org/W6796963063","https://openalex.org/W6800480908","https://openalex.org/W6810272626","https://openalex.org/W6839807890"],"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":{"The":[0],"goal":[1],"of":[2,113,155],"few-shot":[3,133],"learning":[4,134],"is":[5,18,87],"to":[6,75,123],"train":[7],"a":[8,90],"model":[9,126],"with":[10],"good":[11],"generalization":[12],"ability":[13],"when":[14],"the":[15,27,35,48,83,95,111,125,145,152,169],"training":[16],"data":[17],"limited":[19,55],"in":[20,127,178],"quantity.":[21],"Prompt":[22,37,72],"Learning-based":[23],"methods":[24,39],"have":[25],"become":[26],"mainstream":[28],"solution":[29],"for":[30,98,103,115,129],"addressing":[31],"such":[32,53],"problems.":[33],"In":[34,79,151],"current":[36,153],"Learning":[38,73,122],"using":[40],"small":[41],"pre-trained":[42],"language":[43],"models(with":[44],"parameters":[45],"under":[46],"1B),":[47],"Verbalizer":[49,86],"component":[50],"faces":[51],"challenges":[52],"as":[54],"answer":[56,61,77],"search":[57,62,96],"space":[58,97],"or":[59],"inadequate":[60],"guidance.":[63],"To":[64],"address":[65],"these":[66],"issues,":[67],"this":[68,101,118,159],"paper":[69,119,160],"proposes":[70],"Contrastive":[71,121],"(CPL)":[74],"optimize":[76],"search.":[78],"our":[80,136,173],"proposed":[81],"method,":[82],"manually":[84],"designed":[85],"replaced":[88],"by":[89,165],"linear":[91],"layer,":[92],"which":[93],"expands":[94],"answers.":[99,116,130],"While":[100],"allows":[102],"more":[104],"accurate":[105],"answers,":[106],"it":[107],"also":[108,161],"potentially":[109],"increases":[110],"difficulty":[112],"searching":[114,128],"Therefore,":[117],"introduces":[120],"guide":[124],"Across":[131],"multiple":[132],"tasks,":[135],"approach":[137,146,174],"compared":[138],"against":[139],"other":[140],"powerful":[141],"baseline":[142],"methods,":[143],"and":[144,168],"has":[147],"achieved":[148],"significant":[149],"improvements.":[150],"prevalence":[154],"Large":[156],"Language":[157],"Models,":[158],"conducted":[162],"comparative":[163],"experiments":[164,170],"fine-tuning":[166],"chatglm2-6B,":[167],"indicate":[171],"that":[172],"still":[175],"maintains":[176],"advantages":[177],"many":[179],"tasks.":[180]},"counts_by_year":[{"year":2024,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}
