{"id":"https://openalex.org/W4385569922","doi":"https://doi.org/10.18653/v1/2023.acl-long.311","title":"Zero-shot Faithful Factual Error Correction","display_name":"Zero-shot Faithful Factual Error Correction","publication_year":2023,"publication_date":"2023-01-01","ids":{"openalex":"https://openalex.org/W4385569922","doi":"https://doi.org/10.18653/v1/2023.acl-long.311"},"language":"en","primary_location":{"id":"doi:10.18653/v1/2023.acl-long.311","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/2023.acl-long.311","pdf_url":"https://aclanthology.org/2023.acl-long.311.pdf","source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://aclanthology.org/2023.acl-long.311.pdf","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5017859556","display_name":"Kung-Hsiang Huang","orcid":null},"institutions":[{"id":"https://openalex.org/I157725225","display_name":"University of Illinois Urbana-Champaign","ror":"https://ror.org/047426m28","country_code":"US","type":"education","lineage":["https://openalex.org/I157725225"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Kung-Hsiang Huang","raw_affiliation_strings":["Department of Computer Science, University of Illinois Urbana-Champaign"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science, University of Illinois Urbana-Champaign","institution_ids":["https://openalex.org/I157725225"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101761759","display_name":"Hou Pong Chan","orcid":"https://orcid.org/0000-0001-9207-4178"},"institutions":[{"id":"https://openalex.org/I157725225","display_name":"University of Illinois Urbana-Champaign","ror":"https://ror.org/047426m28","country_code":"US","type":"education","lineage":["https://openalex.org/I157725225"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Hou Pong Chan","raw_affiliation_strings":["Department of Computer Science, University of Illinois Urbana-Champaign"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science, University of Illinois Urbana-Champaign","institution_ids":["https://openalex.org/I157725225"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5075033889","display_name":"Heng Ji","orcid":"https://orcid.org/0000-0002-0464-7966"},"institutions":[{"id":"https://openalex.org/I157725225","display_name":"University of Illinois Urbana-Champaign","ror":"https://ror.org/047426m28","country_code":"US","type":"education","lineage":["https://openalex.org/I157725225"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Heng Ji","raw_affiliation_strings":["Department of Computer Science, University of Illinois Urbana-Champaign"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science, University of Illinois Urbana-Champaign","institution_ids":["https://openalex.org/I157725225"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I157725225"],"apc_list":null,"apc_paid":null,"fwci":3.7024,"has_fulltext":true,"cited_by_count":17,"citation_normalized_percentile":{"value":0.94670153,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":94,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"5660","last_page":"5676"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10028","display_name":"Topic Modeling","score":0.9972000122070312,"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":0.9972000122070312,"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/T12026","display_name":"Explainable Artificial Intelligence (XAI)","score":0.9954000115394592,"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/T11710","display_name":"Biomedical Text Mining and Ontologies","score":0.9768999814987183,"subfield":{"id":"https://openalex.org/subfields/1312","display_name":"Molecular Biology"},"field":{"id":"https://openalex.org/fields/13","display_name":"Biochemistry, Genetics and Molecular Biology"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/interpretability","display_name":"Interpretability","score":0.9019127488136292},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6728195548057556},{"id":"https://openalex.org/keywords/consistency","display_name":"Consistency (knowledge bases)","score":0.6240139007568359},{"id":"https://openalex.org/keywords/zero","display_name":"Zero (linguistics)","score":0.5439976453781128},{"id":"https://openalex.org/keywords/sequence","display_name":"Sequence (biology)","score":0.5423517823219299},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5054144859313965},{"id":"https://openalex.org/keywords/intelligibility","display_name":"Intelligibility (philosophy)","score":0.47326305508613586},{"id":"https://openalex.org/keywords/error-detection-and-correction","display_name":"Error detection and correction","score":0.4269360601902008},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.4209350049495697},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.4114909768104553},{"id":"https://openalex.org/keywords/linguistics","display_name":"Linguistics","score":0.07621270418167114},{"id":"https://openalex.org/keywords/epistemology","display_name":"Epistemology","score":0.06869474053382874}],"concepts":[{"id":"https://openalex.org/C2781067378","wikidata":"https://www.wikidata.org/wiki/Q17027399","display_name":"Interpretability","level":2,"score":0.9019127488136292},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6728195548057556},{"id":"https://openalex.org/C2776436953","wikidata":"https://www.wikidata.org/wiki/Q5163215","display_name":"Consistency (knowledge bases)","level":2,"score":0.6240139007568359},{"id":"https://openalex.org/C2780813799","wikidata":"https://www.wikidata.org/wiki/Q3274237","display_name":"Zero (linguistics)","level":2,"score":0.5439976453781128},{"id":"https://openalex.org/C2778112365","wikidata":"https://www.wikidata.org/wiki/Q3511065","display_name":"Sequence (biology)","level":2,"score":0.5423517823219299},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5054144859313965},{"id":"https://openalex.org/C60048801","wikidata":"https://www.wikidata.org/wiki/Q1433889","display_name":"Intelligibility (philosophy)","level":2,"score":0.47326305508613586},{"id":"https://openalex.org/C103088060","wikidata":"https://www.wikidata.org/wiki/Q1062839","display_name":"Error detection and correction","level":2,"score":0.4269360601902008},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4209350049495697},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.4114909768104553},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.07621270418167114},{"id":"https://openalex.org/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","level":1,"score":0.06869474053382874},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C54355233","wikidata":"https://www.wikidata.org/wiki/Q7162","display_name":"Genetics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.18653/v1/2023.acl-long.311","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/2023.acl-long.311","pdf_url":"https://aclanthology.org/2023.acl-long.311.pdf","source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.18653/v1/2023.acl-long.311","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/2023.acl-long.311","pdf_url":"https://aclanthology.org/2023.acl-long.311.pdf","source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)","raw_type":"proceedings-article"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/16","score":0.4699999988079071,"display_name":"Peace, Justice and strong institutions"}],"awards":[{"id":"https://openalex.org/G1286881433","display_name":null,"funder_award_id":"FDCT/060/2022/AFJ","funder_id":"https://openalex.org/F4320323893","funder_display_name":"Fundo para o Desenvolvimento das Ci\u00eancias e da Tecnologia"},{"id":"https://openalex.org/G3699111562","display_name":null,"funder_award_id":"MYRG2020-00054-FST","funder_id":"https://openalex.org/F4320322841","funder_display_name":"Universidade de Macau"},{"id":"https://openalex.org/G4713059963","display_name":null,"funder_award_id":"FA8750","funder_id":"https://openalex.org/F4320332180","funder_display_name":"Defense Advanced Research Projects Agency"},{"id":"https://openalex.org/G4818418728","display_name":null,"funder_award_id":"FA8750-18-2-0014","funder_id":"https://openalex.org/F4320332180","funder_display_name":"Defense Advanced Research Projects Agency"},{"id":"https://openalex.org/G5771177262","display_name":null,"funder_award_id":"HR001120C0123","funder_id":"https://openalex.org/F4320332180","funder_display_name":"Defense Advanced Research Projects Agency"},{"id":"https://openalex.org/G6889481450","display_name":null,"funder_award_id":"FDCT/0070/2022/AMJ","funder_id":"https://openalex.org/F4320323893","funder_display_name":"Fundo para o Desenvolvimento das Ci\u00eancias e da Tecnologia"},{"id":"https://openalex.org/G7539239994","display_name":null,"funder_award_id":"HR00112290105","funder_id":"https://openalex.org/F4320332180","funder_display_name":"Defense Advanced Research Projects Agency"}],"funders":[{"id":"https://openalex.org/F4320322841","display_name":"Universidade de Macau","ror":"https://ror.org/01r4q9n85"},{"id":"https://openalex.org/F4320323893","display_name":"Fundo para o Desenvolvimento das Ci\u00eancias e da Tecnologia","ror":"https://ror.org/05vna4324"},{"id":"https://openalex.org/F4320332180","display_name":"Defense Advanced Research Projects Agency","ror":"https://ror.org/02caytj08"}],"has_content":{"grobid_xml":false,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4385569922.pdf"},"referenced_works_count":51,"referenced_works":["https://openalex.org/W136732505","https://openalex.org/W759515131","https://openalex.org/W1981208470","https://openalex.org/W2282821441","https://openalex.org/W2534253848","https://openalex.org/W2788496822","https://openalex.org/W2891308403","https://openalex.org/W2908510526","https://openalex.org/W2946659172","https://openalex.org/W2951211142","https://openalex.org/W2952984539","https://openalex.org/W2963748441","https://openalex.org/W2963846996","https://openalex.org/W2963961878","https://openalex.org/W2970482702","https://openalex.org/W2998112083","https://openalex.org/W3031781733","https://openalex.org/W3034188538","https://openalex.org/W3034383590","https://openalex.org/W3099655892","https://openalex.org/W3099977667","https://openalex.org/W3102645206","https://openalex.org/W3106234277","https://openalex.org/W3173529047","https://openalex.org/W3173825754","https://openalex.org/W3174408325","https://openalex.org/W3175864309","https://openalex.org/W3176456866","https://openalex.org/W3176546569","https://openalex.org/W3177242492","https://openalex.org/W3191640844","https://openalex.org/W3199926081","https://openalex.org/W3205871113","https://openalex.org/W3213990450","https://openalex.org/W4221166832","https://openalex.org/W4226118367","https://openalex.org/W4239181501","https://openalex.org/W4280625699","https://openalex.org/W4285254998","https://openalex.org/W4287887652","https://openalex.org/W4287887766","https://openalex.org/W4287891189","https://openalex.org/W4288089799","https://openalex.org/W4293138840","https://openalex.org/W4297634122","https://openalex.org/W4385570783","https://openalex.org/W4385572054","https://openalex.org/W4385572752","https://openalex.org/W4385573663","https://openalex.org/W4385573712","https://openalex.org/W4386566433"],"related_works":["https://openalex.org/W2968260065","https://openalex.org/W4206534706","https://openalex.org/W2947762898","https://openalex.org/W4229079080","https://openalex.org/W2787767549","https://openalex.org/W2963041618","https://openalex.org/W2353865532","https://openalex.org/W2789919619","https://openalex.org/W3006943036","https://openalex.org/W3129898729"],"abstract_inverted_index":{"Faithfully":[0],"correcting":[1],"factual":[2,28,108],"errors":[3],"is":[4],"critical":[5],"for":[6,42,106],"maintaining":[7],"the":[8,46,51,61,74,90,102,113],"integrity":[9],"of":[10,53,93,124],"textual":[11],"knowledge":[12],"bases":[13],"and":[14,26,49,76,130],"preventing":[15],"hallucinations":[16],"in":[17,45,122],"sequence-to-sequence":[18],"models.":[19],"Drawing":[20],"on":[21,57,73],"humans'":[22],"ability":[23],"to":[24,84,100],"identify":[25],"correct":[27,43],"errors,":[29],"we":[30,111],"present":[31],"a":[32],"zero-shot":[33,64],"framework":[34,65,95],"that":[35],"formulates":[36],"questions":[37],"about":[38],"input":[39],"claims,":[40],"looks":[41],"answers":[44],"given":[47],"evidence,":[48],"assesses":[50],"faithfulness":[52],"each":[54],"correction":[55],"based":[56],"its":[58],"consistency":[59],"with":[60,119],"evidence.":[62],"Our":[63],"outperforms":[66],"fully-supervised":[67],"approaches,":[68],"as":[69],"demonstrated":[70],"by":[71],"experiments":[72],"FEVER":[75],"SciFact":[77],"datasets,":[78],"where":[79],"our":[80,94],"outputs":[81],"are":[82],"shown":[83],"be":[85],"more":[86],"faithful.":[87],"More":[88],"importantly,":[89],"decomposability":[91],"nature":[92],"inherently":[96],"provides":[97],"interpretability.":[98],"Additionally,":[99],"reveal":[101],"most":[103],"suitable":[104],"metrics":[105,118],"evaluating":[107],"error":[109],"corrections,":[110],"analyze":[112],"correlation":[114],"between":[115],"commonly":[116],"used":[117],"human":[120],"judgments":[121],"terms":[123],"three":[125],"different":[126],"dimensions":[127],"regarding":[128],"intelligibility":[129],"faithfulness.":[131]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":4},{"year":2024,"cited_by_count":5},{"year":2023,"cited_by_count":7}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}