{"id":"https://openalex.org/W4415428967","doi":"https://doi.org/10.3233/faia413","title":"ECAI 2025","display_name":"ECAI 2025","publication_year":2025,"publication_date":"2025-10-21","ids":{"openalex":"https://openalex.org/W4415428967","doi":"https://doi.org/10.3233/faia413"},"language":"en","primary_location":{"id":"doi:10.3233/faia413","is_oa":true,"landing_page_url":"https://doi.org/10.3233/faia413","pdf_url":null,"source":{"id":"https://openalex.org/S4210201731","display_name":"Frontiers in artificial intelligence and applications","issn_l":"0922-6389","issn":["0922-6389","1879-8314"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by-nc","license_id":"https://openalex.org/licenses/cc-by-nc","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Frontiers in Artificial Intelligence and Applications","raw_type":"edited-book"},"type":"book","indexed_in":["arxiv","crossref"],"open_access":{"is_oa":true,"oa_status":"hybrid","oa_url":"https://doi.org/10.3233/faia413","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5120313914","display_name":"Zhichao Yan","orcid":null},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Yan, Zhichao","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5120313915","display_name":"Jiaoyan Chen","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Chen, Jiaoyan","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5120313916","display_name":"Jiapu Wang","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Wang, Jiapu","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5120313917","display_name":"Xiaoli Li","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Li, Xiaoli","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5120313918","display_name":"Ru Li","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Li, Ru","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5120313919","display_name":"Jeff Z. Pan","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Pan, Jeff Z.","raw_affiliation_strings":[],"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5120313914"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.11487651,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"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":0.6359999775886536,"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":0.6359999775886536,"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/T10664","display_name":"Sentiment Analysis and Opinion Mining","score":0.05770000070333481,"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/T13910","display_name":"Computational and Text Analysis Methods","score":0.04019999876618385,"subfield":{"id":"https://openalex.org/subfields/3300","display_name":"General Social Sciences"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/fides","display_name":"Fides","score":0.8464999794960022},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.6341999769210815},{"id":"https://openalex.org/keywords/metric","display_name":"Metric (unit)","score":0.4927000105381012},{"id":"https://openalex.org/keywords/aggregate","display_name":"Aggregate (composite)","score":0.44119998812675476},{"id":"https://openalex.org/keywords/question-answering","display_name":"Question answering","score":0.35260000824928284},{"id":"https://openalex.org/keywords/attribution","display_name":"Attribution","score":0.3163999915122986}],"concepts":[{"id":"https://openalex.org/C169756158","wikidata":"https://www.wikidata.org/wiki/Q3071443","display_name":"Fides","level":3,"score":0.8464999794960022},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.6341999769210815},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5425000190734863},{"id":"https://openalex.org/C176217482","wikidata":"https://www.wikidata.org/wiki/Q860554","display_name":"Metric (unit)","level":2,"score":0.4927000105381012},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4422000050544739},{"id":"https://openalex.org/C4679612","wikidata":"https://www.wikidata.org/wiki/Q866298","display_name":"Aggregate (composite)","level":2,"score":0.44119998812675476},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.38370001316070557},{"id":"https://openalex.org/C44291984","wikidata":"https://www.wikidata.org/wiki/Q1074173","display_name":"Question answering","level":2,"score":0.35260000824928284},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.3476000130176544},{"id":"https://openalex.org/C143299363","wikidata":"https://www.wikidata.org/wiki/Q900584","display_name":"Attribution","level":2,"score":0.3163999915122986},{"id":"https://openalex.org/C51632099","wikidata":"https://www.wikidata.org/wiki/Q3985153","display_name":"Training set","level":2,"score":0.3116999864578247},{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.2881999909877777},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.257099986076355}],"mesh":[],"locations_count":4,"locations":[{"id":"doi:10.3233/faia413","is_oa":true,"landing_page_url":"https://doi.org/10.3233/faia413","pdf_url":null,"source":{"id":"https://openalex.org/S4210201731","display_name":"Frontiers in artificial intelligence and applications","issn_l":"0922-6389","issn":["0922-6389","1879-8314"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by-nc","license_id":"https://openalex.org/licenses/cc-by-nc","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Frontiers in Artificial Intelligence and Applications","raw_type":"edited-book"},{"id":"pmh:oai:arXiv.org:2509.00765","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2509.00765","pdf_url":"https://arxiv.org/pdf/2509.00765","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"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":"pmh:oai:cris.unibo.it:11585/1049649","is_oa":false,"landing_page_url":"https://hdl.handle.net/11585/1049649","pdf_url":null,"source":{"id":"https://openalex.org/S4306402579","display_name":"Archivio istituzionale della ricerca (Alma Mater Studiorum Universit\u00e0 di Bologna)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4210117483","host_organization_name":"Istituto di Ematologia di Bologna","host_organization_lineage":["https://openalex.org/I4210117483"],"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":"info:eu-repo/semantics/bookPart"},{"id":"pmh:oai:cris.unibo.it:11585/1049667","is_oa":false,"landing_page_url":"https://hdl.handle.net/11585/1049667","pdf_url":null,"source":{"id":"https://openalex.org/S4306402579","display_name":"Archivio istituzionale della ricerca (Alma Mater Studiorum Universit\u00e0 di Bologna)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4210117483","host_organization_name":"Istituto di Ematologia di Bologna","host_organization_lineage":["https://openalex.org/I4210117483"],"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":"info:eu-repo/semantics/other"}],"best_oa_location":{"id":"doi:10.3233/faia413","is_oa":true,"landing_page_url":"https://doi.org/10.3233/faia413","pdf_url":null,"source":{"id":"https://openalex.org/S4210201731","display_name":"Frontiers in artificial intelligence and applications","issn_l":"0922-6389","issn":["0922-6389","1879-8314"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by-nc","license_id":"https://openalex.org/licenses/cc-by-nc","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Frontiers in Artificial Intelligence and Applications","raw_type":"edited-book"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"Attribution":[0],"is":[1],"crucial":[2],"in":[3,36,41,162],"question":[4,12],"answering":[5],"(QA)":[6],"with":[7,113,138,141,164],"Large":[8],"Language":[9],"Models":[10],"(LLMs).SOTA":[11],"decomposition-based":[13,64],"approaches":[14,43],"use":[15],"long":[16,90],"form":[17,91],"answers":[18,92],"to":[19,46,88,102,130],"generate":[20],"questions":[21,29],"for":[22,76,149],"retrieving":[23],"related":[24,104,115],"documents.":[25],"However,":[26],"the":[27,108,114,124,131,151,156],"generated":[28],"are":[30,96,127],"often":[31],"irrelevant":[32],"and":[33,53,73,167],"incomplete,":[34],"resulting":[35],"a":[37,61,81,100],"loss":[38],"of":[39],"facts":[40],"retrieval.These":[42],"also":[44],"fail":[45],"aggregate":[47],"evidence":[48,74,105,110,125,152],"snippets":[49,111,126],"from":[50],"different":[51],"documents":[52],"paragraphs.":[54],"To":[55],"tackle":[56],"these":[57],"problems,":[58],"we":[59],"propose":[60],"new":[62,145],"fact":[63,71],"framework":[65],"called":[66,147],"FIDES":[67,79,154],"(\\textit{faithful":[68],"context":[69],"enhanced":[70,83],"decomposition":[72,86],"aggregation})":[75],"attributed":[77],"QA.":[78],"uses":[80],"contextually":[82],"two-stage":[84],"faithful":[85],"method":[87],"decompose":[89],"into":[93],"sub-facts,":[94,116],"which":[95],"then":[97],"used":[98],"by":[99,159],"retriever":[101],"retrieve":[103],"snippets.":[106],"If":[107],"retrieved":[109],"conflict":[112],"such":[117],"sub-facts":[118],"will":[119],"be":[120],"revised":[121],"accordingly.":[122],"Finally,":[123],"aggregated":[128],"according":[129],"original":[132],"sentences.Extensive":[133],"evaluation":[134],"has":[135],"been":[136],"conducted":[137],"six":[139],"datasets,":[140],"an":[142],"additionally":[143],"proposed":[144],"metric":[146],"$Attr_{auto-P}$":[148],"evaluating":[150],"precision.":[153],"outperforms":[155],"SOTA":[157],"methods":[158],"over":[160],"14\\%":[161],"average":[163],"GPT-3.5-turbo,":[165],"Gemini":[166],"Llama":[168],"70B":[169],"series.":[170]},"counts_by_year":[],"updated_date":"2026-04-07T14:57:38.498316","created_date":"2025-10-10T00:00:00"}
