{"id":"https://openalex.org/W4411550900","doi":"https://doi.org/10.1109/cscwd64889.2025.11033619","title":"SVllmNER: Self-Verification Large Language Model for Zero-Shot Named Entity Recognition","display_name":"SVllmNER: Self-Verification Large Language Model for Zero-Shot Named Entity Recognition","publication_year":2025,"publication_date":"2025-05-05","ids":{"openalex":"https://openalex.org/W4411550900","doi":"https://doi.org/10.1109/cscwd64889.2025.11033619"},"language":"en","primary_location":{"id":"doi:10.1109/cscwd64889.2025.11033619","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cscwd64889.2025.11033619","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 28th International Conference on Computer Supported Cooperative Work in Design (CSCWD)","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/A5032248927","display_name":"Xinlong Qiao","orcid":"https://orcid.org/0009-0004-1968-4761"},"institutions":[{"id":"https://openalex.org/I4210158570","display_name":"Zhejiang University-University of Edinburgh Institute","ror":"https://ror.org/04jth1r26","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210158570","https://openalex.org/I76130692","https://openalex.org/I98677209"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Xinlong Qiao","raw_affiliation_strings":["ZJU-UIUC Institute, Zhejiang University,Haining,China"],"affiliations":[{"raw_affiliation_string":"ZJU-UIUC Institute, Zhejiang University,Haining,China","institution_ids":["https://openalex.org/I4210158570"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100357128","display_name":"Hongwei Wang","orcid":"https://orcid.org/0000-0001-7474-8271"},"institutions":[{"id":"https://openalex.org/I4210158570","display_name":"Zhejiang University-University of Edinburgh Institute","ror":"https://ror.org/04jth1r26","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210158570","https://openalex.org/I76130692","https://openalex.org/I98677209"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hongwei Wang","raw_affiliation_strings":["ZJU-UIUC Institute, Zhejiang University,Haining,China"],"affiliations":[{"raw_affiliation_string":"ZJU-UIUC Institute, Zhejiang University,Haining,China","institution_ids":["https://openalex.org/I4210158570"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5032248927"],"corresponding_institution_ids":["https://openalex.org/I4210158570"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.07824069,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"261","last_page":"266"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10028","display_name":"Topic Modeling","score":0.9997000098228455,"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":0.9997000098228455,"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":0.9986000061035156,"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/T11719","display_name":"Data Quality and Management","score":0.9444000124931335,"subfield":{"id":"https://openalex.org/subfields/1803","display_name":"Management Science and Operations Research"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7293863296508789},{"id":"https://openalex.org/keywords/zero","display_name":"Zero (linguistics)","score":0.6872490644454956},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.5468775629997253},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4596850574016571},{"id":"https://openalex.org/keywords/shot","display_name":"Shot (pellet)","score":0.42418208718299866},{"id":"https://openalex.org/keywords/language-model","display_name":"Language model","score":0.4202784299850464},{"id":"https://openalex.org/keywords/zero-knowledge-proof","display_name":"Zero-knowledge proof","score":0.4153568744659424},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.36364537477493286},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.22108665108680725},{"id":"https://openalex.org/keywords/linguistics","display_name":"Linguistics","score":0.22043997049331665},{"id":"https://openalex.org/keywords/cryptography","display_name":"Cryptography","score":0.08167040348052979}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7293863296508789},{"id":"https://openalex.org/C2780813799","wikidata":"https://www.wikidata.org/wiki/Q3274237","display_name":"Zero (linguistics)","level":2,"score":0.6872490644454956},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.5468775629997253},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4596850574016571},{"id":"https://openalex.org/C2778344882","wikidata":"https://www.wikidata.org/wiki/Q278938","display_name":"Shot (pellet)","level":2,"score":0.42418208718299866},{"id":"https://openalex.org/C137293760","wikidata":"https://www.wikidata.org/wiki/Q3621696","display_name":"Language model","level":2,"score":0.4202784299850464},{"id":"https://openalex.org/C176329583","wikidata":"https://www.wikidata.org/wiki/Q191943","display_name":"Zero-knowledge proof","level":3,"score":0.4153568744659424},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.36364537477493286},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.22108665108680725},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.22043997049331665},{"id":"https://openalex.org/C178489894","wikidata":"https://www.wikidata.org/wiki/Q8789","display_name":"Cryptography","level":2,"score":0.08167040348052979},{"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/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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/cscwd64889.2025.11033619","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cscwd64889.2025.11033619","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 28th International Conference on Computer Supported Cooperative Work in Design (CSCWD)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Reduced inequalities","id":"https://metadata.un.org/sdg/10","score":0.46000000834465027}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":20,"referenced_works":["https://openalex.org/W2020278455","https://openalex.org/W2040298461","https://openalex.org/W2047782770","https://openalex.org/W2122496897","https://openalex.org/W2250709962","https://openalex.org/W2346452181","https://openalex.org/W2972417827","https://openalex.org/W2997448699","https://openalex.org/W3011594683","https://openalex.org/W3200787399","https://openalex.org/W4205131770","https://openalex.org/W4385572162","https://openalex.org/W4388132131","https://openalex.org/W4389519058","https://openalex.org/W6691330852","https://openalex.org/W6843893154","https://openalex.org/W6847273893","https://openalex.org/W6850671237","https://openalex.org/W6852016728","https://openalex.org/W6866621903"],"related_works":["https://openalex.org/W2074502265","https://openalex.org/W4214877189","https://openalex.org/W1870614684","https://openalex.org/W2773965352","https://openalex.org/W2381179799","https://openalex.org/W2980279061","https://openalex.org/W2334685461","https://openalex.org/W194387157","https://openalex.org/W4406460655","https://openalex.org/W2952570804"],"abstract_inverted_index":{"Recently,":[0],"Large":[1,49],"Language":[2,50],"Models":[3],"(LLMs)":[4],"are":[5],"increasingly":[6],"being":[7],"used":[8],"for":[9,52,140],"named":[10],"entity":[11,84,131,142],"recognition":[12],"(NER)":[13],"due":[14],"to":[15,80,105,128],"their":[16],"excellent":[17],"natural":[18],"language":[19],"processing":[20],"capabilities.":[21],"However,":[22],"when":[23],"tasked":[24],"with":[25,170],"structured":[26],"knowledge":[27],"extraction,":[28],"the":[29,82,87,94,136,141,144,168],"performance":[30,161],"of":[31,60,68],"these":[32,178],"models":[33],"still":[34],"demonstrated":[35],"inconsistent,":[36],"especially":[37],"in":[38,97,118,159],"zero-shot":[39,163],"settings.":[40],"To":[41],"address":[42],"this":[43,45],"issue,":[44],"paper":[46],"introduces":[47],"Self-Verification":[48],"Model":[51],"Zero-Shot":[53],"Named":[54],"Entity":[55,74],"Recognition":[56],"(SVllmNER),":[57],"which":[58,78],"consists":[59],"two":[61,115],"prompt-based":[62],"methods":[63,179],"by":[64,93],"leveraging":[65],"self-verification":[66],"ability":[67],"LLMs.":[69],"First,":[70],"we":[71,99,121,134],"propose":[72,100],"an":[73],"Correction":[75],"Mechanism":[76],"(ECM),":[77],"helps":[79],"remove":[81],"inconsistent":[83],"and":[85,112],"modify":[86],"incorrectly":[88],"labeled":[89],"entity.":[90],"Second,":[91],"inspired":[92],"biphasic":[95],"system":[96],"physics,":[98],"Biphasic":[101],"Filtering":[102],"(BF)":[103],"method":[104],"gradually":[106],"refine":[107],"predicted":[108],"information.":[109],"Regarding":[110],"labels":[111],"entities":[113],"as":[114,143],"phase":[116,123,127],"state":[117],"a":[119,156],"system,":[120],"use":[122],"threshold":[124],"at":[125],"first":[126],"achieve":[129,180],"coarse":[130],"filtering.":[132],"Then":[133],"select":[135],"most":[137],"frequent":[138],"label":[139],"final":[145],"result.":[146],"Tested":[147],"on":[148,162],"six":[149],"datasets,":[150],"empirical":[151],"results":[152],"show":[153],"SVllmNER":[154,175],"achieves":[155],"significant":[157],"improvement":[158],"LLMs'":[160],"NER.":[164],"We":[165],"also":[166],"explore":[167],"combination":[169],"other":[171],"existed":[172],"strategies.":[173],"Surprisingly,":[174],"can":[176],"help":[177],"better.":[181]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}