{"id":"https://openalex.org/W4366999773","doi":"https://doi.org/10.48550/arxiv.2304.11633","title":"Evaluating ChatGPT's Information Extraction Capabilities: An Assessment of Performance, Explainability, Calibration, and Faithfulness","display_name":"Evaluating ChatGPT's Information Extraction Capabilities: An Assessment of Performance, Explainability, Calibration, and Faithfulness","publication_year":2023,"publication_date":"2023-04-23","ids":{"openalex":"https://openalex.org/W4366999773","doi":"https://doi.org/10.48550/arxiv.2304.11633"},"language":"en","primary_location":{"id":"pmh:oai:arXiv.org:2304.11633","doi":null,"is_oa":true,"landing_page_url":"http://arxiv.org/abs/2304.11633","pdf_url":"https://arxiv.org/pdf/2304.11633","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},"volume":null,"type":"preprint","indexed_in":["arxiv","datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/2304.11633","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":null,"display_name":"Li, Bo","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I20231570","display_name":"Peking University","ror":"https://ror.org/02v51f717","country_code":"CN","type":"education","lineage":["https://openalex.org/I20231570"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Li, Bo","raw_affiliation_strings":["National Engineering Research Center for Software Engineering , Peking University","School of Software and Microelectronics , Peking University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"National Engineering Research Center for Software Engineering , Peking University","institution_ids":["https://openalex.org/I20231570"]},{"raw_affiliation_string":"School of Software and Microelectronics , Peking University","institution_ids":["https://openalex.org/I20231570"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5021257547","display_name":"Gexiang Fang","orcid":"https://orcid.org/0009-0008-0967-1333","observed_orcids":["https://orcid.org/0009-0008-0967-1333"]},"institutions":[{"id":"https://openalex.org/I20231570","display_name":"Peking University","ror":"https://ror.org/02v51f717","country_code":"CN","type":"education","lineage":["https://openalex.org/I20231570"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Fang, Gexiang","raw_affiliation_strings":["National Engineering Research Center for Software Engineering , Peking University","School of Software and Microelectronics , Peking University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"National Engineering Research Center for Software Engineering , Peking University","institution_ids":["https://openalex.org/I20231570"]},{"raw_affiliation_string":"School of Software and Microelectronics , Peking University","institution_ids":["https://openalex.org/I20231570"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100397456","display_name":"Yang Yang","orcid":"https://orcid.org/0000-0001-8857-3679","observed_orcids":["https://orcid.org/0000-0001-8857-3679"]},"institutions":[{"id":"https://openalex.org/I20231570","display_name":"Peking University","ror":"https://ror.org/02v51f717","country_code":"CN","type":"education","lineage":["https://openalex.org/I20231570"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yang, Yang","raw_affiliation_strings":["National Engineering Research Center for Software Engineering , Peking University","School of Software and Microelectronics , Peking University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"National Engineering Research Center for Software Engineering , Peking University","institution_ids":["https://openalex.org/I20231570"]},{"raw_affiliation_string":"School of Software and Microelectronics , Peking University","institution_ids":["https://openalex.org/I20231570"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5041407568","display_name":"Quansen Wang","orcid":"https://orcid.org/0000-0002-7001-5879","observed_orcids":["https://orcid.org/0000-0002-7001-5879"]},"institutions":[{"id":"https://openalex.org/I111088046","display_name":"Boston University","ror":"https://ror.org/05qwgg493","country_code":"US","type":"education","lineage":["https://openalex.org/I111088046"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Wang, Quansen","raw_affiliation_strings":["Boston University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Boston University","institution_ids":["https://openalex.org/I111088046"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100448688","display_name":"Wei Ye","orcid":"https://orcid.org/0000-0002-3784-7788","observed_orcids":["https://orcid.org/0000-0002-3784-7788"]},"institutions":[{"id":"https://openalex.org/I20231570","display_name":"Peking University","ror":"https://ror.org/02v51f717","country_code":"CN","type":"education","lineage":["https://openalex.org/I20231570"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ye, Wei","raw_affiliation_strings":["National Engineering Research Center for Software Engineering , Peking University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"National Engineering Research Center for Software Engineering , Peking University","institution_ids":["https://openalex.org/I20231570"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5107006795","display_name":"Wen Zhao","orcid":"https://orcid.org/0009-0000-1523-5740","observed_orcids":["https://orcid.org/0009-0000-1523-5740"]},"institutions":[{"id":"https://openalex.org/I20231570","display_name":"Peking University","ror":"https://ror.org/02v51f717","country_code":"CN","type":"education","lineage":["https://openalex.org/I20231570"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhao, Wen","raw_affiliation_strings":["National Engineering Research Center for Software Engineering , Peking University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"National Engineering Research Center for Software Engineering , Peking University","institution_ids":["https://openalex.org/I20231570"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101435571","display_name":"Shikun Zhang","orcid":"https://orcid.org/0000-0002-8576-2674","observed_orcids":["https://orcid.org/0000-0002-8576-2674","https://orcid.org/0000-0002-3132-4935"]},"institutions":[{"id":"https://openalex.org/I20231570","display_name":"Peking University","ror":"https://ror.org/02v51f717","country_code":"CN","type":"education","lineage":["https://openalex.org/I20231570"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhang, Shikun","raw_affiliation_strings":["National Engineering Research Center for Software Engineering , Peking University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"National Engineering Research Center for Software Engineering , Peking University","institution_ids":["https://openalex.org/I20231570"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":true,"cited_by_count":68,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"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":0.9810000061988831,"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":0.9810000061988831,"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":0.00860000029206276,"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/T10286","display_name":"Information Retrieval and Search Behavior","score":0.002899999963119626,"subfield":{"id":"https://openalex.org/subfields/1710","display_name":"Information Systems"},"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/chatgpt","display_name":"ChatGPT","score":0.9860000014305115},{"id":"https://openalex.org/keywords/large-language-models","display_name":"large language models","score":0.8579999804496765},{"id":"https://openalex.org/keywords/information-extraction","display_name":"information extraction","score":0.9869999885559082},{"id":"https://openalex.org/keywords/open-information-extraction","display_name":"open information extraction","score":0.8240000009536743},{"id":"https://openalex.org/keywords/explainability","display_name":"explainability","score":0.7699999809265137},{"id":"https://openalex.org/keywords/calibration","display_name":"calibration","score":0.8029999732971191},{"id":"https://openalex.org/keywords/faithfulness","display_name":"faithfulness","score":0.8579999804496765},{"id":"https://openalex.org/keywords/overconfidence","display_name":"overconfidence","score":0.8539999723434448},{"id":"https://openalex.org/keywords/human-evaluation","display_name":"human evaluation","score":0.8180000185966492},{"id":"https://openalex.org/keywords/test-data","display_name":"test data","score":0.47999998927116394}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7860918045043945},{"id":"https://openalex.org/C165838908","wikidata":"https://www.wikidata.org/wiki/Q736777","display_name":"Calibration","level":2,"score":0.7281908392906189},{"id":"https://openalex.org/C153701036","wikidata":"https://www.wikidata.org/wiki/Q659974","display_name":"Trustworthiness","level":2,"score":0.7141863703727722},{"id":"https://openalex.org/C192209626","wikidata":"https://www.wikidata.org/wiki/Q190909","display_name":"Focus (optics)","level":2,"score":0.5496193766593933},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.5423553586006165},{"id":"https://openalex.org/C2776760102","wikidata":"https://www.wikidata.org/wiki/Q5139990","display_name":"Code (set theory)","level":3,"score":0.54183429479599},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.5259150266647339},{"id":"https://openalex.org/C2779530757","wikidata":"https://www.wikidata.org/wiki/Q1207505","display_name":"Quality (philosophy)","level":2,"score":0.5100939869880676},{"id":"https://openalex.org/C2777267654","wikidata":"https://www.wikidata.org/wiki/Q3519023","display_name":"Test (biology)","level":2,"score":0.4524742662906647},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.4262961745262146},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3856767416000366},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.3841373324394226},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.35849058628082275},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3392677307128906},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.11829522252082825},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.10763773322105408},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.10544830560684204},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0721977949142456},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","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/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.0},{"id":"https://openalex.org/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"pmh:oai:arXiv.org:2304.11633","doi":null,"is_oa":true,"landing_page_url":"http://arxiv.org/abs/2304.11633","pdf_url":"https://arxiv.org/pdf/2304.11633","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},{"id":"doi:10.48550/arxiv.2304.11633","doi":"https://doi.org/10.48550/arxiv.2304.11633","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2304.11633","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Preprint"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:2304.11633","doi":null,"is_oa":true,"landing_page_url":"http://arxiv.org/abs/2304.11633","pdf_url":"https://arxiv.org/pdf/2304.11633","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},"sustainable_development_goals":[],"study_designs":[],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4366999773.pdf","grobid_xml":"https://content.openalex.org/works/W4366999773.grobid-xml"},"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W7126213276","https://openalex.org/W4378469337","https://openalex.org/W4387799763","https://openalex.org/W4319793302","https://openalex.org/W4394672891","https://openalex.org/W4386554968","https://openalex.org/W6927309417","https://openalex.org/W4379259169","https://openalex.org/W4391217392","https://openalex.org/W6959418243"],"abstract_inverted_index":{"The":[0,164],"capability":[1],"of":[2,33,114,132,141,151],"Large":[3],"Language":[4],"Models":[5],"(LLMs)":[6],"like":[7],"ChatGPT":[8,34,64,100,115,127],"to":[9,134,159],"comprehend":[10],"user":[11],"intent":[12],"and":[13,54,56,103,146,166],"provide":[14],"reasonable":[15],"responses":[16],"has":[17],"made":[18],"them":[19],"extremely":[20],"popular":[21],"lately.":[22],"In":[23,94],"this":[24],"paper,":[25],"we":[26,43],"focus":[27],"on":[28],"assessing":[29],"the":[30,45,63,86,135,139,148,162],"overall":[31],"ability":[32],"using":[35],"7":[36,152],"fine-grained":[37,153],"information":[38],"extraction":[39],"(IE)":[40],"tasks.":[41],"Specially,":[42],"present":[44],"systematically":[46],"analysis":[47],"by":[48,91],"measuring":[49],"ChatGPT's":[50,72],"performance,":[51],"explainability,":[52],"calibration,":[53],"faithfulness,":[55],"resulting":[57,122],"in":[58,74,85,118,123,138],"15":[59],"keys":[60],"from":[61],"either":[62],"or":[65],"domain":[66],"experts.":[67],"Our":[68],"findings":[69],"reveal":[70],"that":[71,99],"performance":[73,84],"Standard-IE":[75],"setting":[76],"is":[77,111],"poor,":[78],"but":[79],"it":[80],"surprisingly":[81],"exhibits":[82],"excellent":[83],"OpenIE":[87],"setting,":[88],"as":[89],"evidenced":[90],"human":[92],"evaluation.":[93],"addition,":[95],"our":[96],"research":[97],"indicates":[98],"provides":[101],"high-quality":[102],"trustworthy":[104],"explanations":[105],"for":[106],"its":[107,119],"decisions.":[108],"However,":[109],"there":[110],"an":[112],"issue":[113],"being":[116],"overconfident":[117],"predictions,":[120],"which":[121],"low":[124],"calibration.":[125],"Furthermore,":[126],"demonstrates":[128],"a":[129],"high":[130],"level":[131],"faithfulness":[133],"original":[136],"text":[137],"majority":[140],"cases.":[142],"We":[143],"manually":[144],"annotate":[145],"release":[147],"test":[149],"sets":[150],"IE":[154],"tasks":[155],"contains":[156],"14":[157],"datasets":[158,165],"further":[160],"promote":[161],"research.":[163],"code":[167],"are":[168],"available":[169],"at":[170],"https://github.com/pkuserc/ChatGPT_for_IE.":[171]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":16},{"year":2024,"cited_by_count":27},{"year":2023,"cited_by_count":24}],"updated_date":"2026-10-16T09:59:22.235173","created_date":"2023-04-27T00:00:00"}