{"id":"https://openalex.org/W4385764258","doi":"https://doi.org/10.24963/ijcai.2023/408","title":"A Logic-based Approach to Contrastive Explainability for Neurosymbolic Visual Question Answering","display_name":"A Logic-based Approach to Contrastive Explainability for Neurosymbolic Visual Question Answering","publication_year":2023,"publication_date":"2023-08-01","ids":{"openalex":"https://openalex.org/W4385764258","doi":"https://doi.org/10.24963/ijcai.2023/408"},"language":"en","primary_location":{"id":"doi:10.24963/ijcai.2023/408","is_oa":true,"landing_page_url":"https://doi.org/10.24963/ijcai.2023/408","pdf_url":"https://www.ijcai.org/proceedings/2023/0408.pdf","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.ijcai.org/proceedings/2023/0408.pdf","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5082178480","display_name":"Thomas Eiter","orcid":"https://orcid.org/0000-0001-6003-6345"},"institutions":[{"id":"https://openalex.org/I145847075","display_name":"TU Wien","ror":"https://ror.org/04d836q62","country_code":"AT","type":"education","lineage":["https://openalex.org/I145847075"]}],"countries":["AT"],"is_corresponding":false,"raw_author_name":"Thomas Eiter","raw_affiliation_strings":["TU Wien"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"TU Wien","institution_ids":["https://openalex.org/I145847075"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5074262091","display_name":"Tobias Geibinger","orcid":"https://orcid.org/0000-0002-0856-7162"},"institutions":[{"id":"https://openalex.org/I145847075","display_name":"TU Wien","ror":"https://ror.org/04d836q62","country_code":"AT","type":"education","lineage":["https://openalex.org/I145847075"]}],"countries":["AT"],"is_corresponding":false,"raw_author_name":"Tobias Geibinger","raw_affiliation_strings":["TU Wien"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"TU Wien","institution_ids":["https://openalex.org/I145847075"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5043323901","display_name":"Nelson Higuera","orcid":"https://orcid.org/0000-0003-3172-723X"},"institutions":[{"id":"https://openalex.org/I145847075","display_name":"TU Wien","ror":"https://ror.org/04d836q62","country_code":"AT","type":"education","lineage":["https://openalex.org/I145847075"]}],"countries":["AT"],"is_corresponding":false,"raw_author_name":"Nelson Higuera","raw_affiliation_strings":["TU Wien"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"TU Wien","institution_ids":["https://openalex.org/I145847075"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5028255011","display_name":"Johannes Oetsch","orcid":"https://orcid.org/0000-0002-9902-7662"},"institutions":[{"id":"https://openalex.org/I145847075","display_name":"TU Wien","ror":"https://ror.org/04d836q62","country_code":"AT","type":"education","lineage":["https://openalex.org/I145847075"]}],"countries":["AT"],"is_corresponding":false,"raw_author_name":"Johannes Oetsch","raw_affiliation_strings":["TU Wien"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"TU Wien","institution_ids":["https://openalex.org/I145847075"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I145847075"],"apc_list":null,"apc_paid":null,"fwci":1.3322,"has_fulltext":false,"cited_by_count":11,"citation_normalized_percentile":{"value":0.87472278,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"3668","last_page":"3676"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11714","display_name":"Multimodal Machine Learning Applications","score":1.0,"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"}},"topics":[{"id":"https://openalex.org/T11714","display_name":"Multimodal Machine Learning Applications","score":1.0,"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"}},{"id":"https://openalex.org/T10028","display_name":"Topic Modeling","score":0.9894999861717224,"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/T11307","display_name":"Domain Adaptation and Few-Shot Learning","score":0.9811999797821045,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7806515693664551},{"id":"https://openalex.org/keywords/question-answering","display_name":"Question answering","score":0.7654940485954285},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5955329537391663},{"id":"https://openalex.org/keywords/visual-reasoning","display_name":"Visual reasoning","score":0.591326892375946},{"id":"https://openalex.org/keywords/debugging","display_name":"Debugging","score":0.5645275712013245},{"id":"https://openalex.org/keywords/answer-set-programming","display_name":"Answer set programming","score":0.5561189651489258},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.5377097129821777},{"id":"https://openalex.org/keywords/deductive-reasoning","display_name":"Deductive reasoning","score":0.5350880026817322},{"id":"https://openalex.org/keywords/architecture","display_name":"Architecture","score":0.4598141610622406},{"id":"https://openalex.org/keywords/modular-design","display_name":"Modular design","score":0.4497426152229309},{"id":"https://openalex.org/keywords/key","display_name":"Key (lock)","score":0.4202617108821869},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.4153353273868561},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.3570857048034668},{"id":"https://openalex.org/keywords/logic-programming","display_name":"Logic programming","score":0.33573463559150696},{"id":"https://openalex.org/keywords/programming-language","display_name":"Programming language","score":0.29601433873176575}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7806515693664551},{"id":"https://openalex.org/C44291984","wikidata":"https://www.wikidata.org/wiki/Q1074173","display_name":"Question answering","level":2,"score":0.7654940485954285},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5955329537391663},{"id":"https://openalex.org/C2777508537","wikidata":"https://www.wikidata.org/wiki/Q7936620","display_name":"Visual reasoning","level":2,"score":0.591326892375946},{"id":"https://openalex.org/C168065819","wikidata":"https://www.wikidata.org/wiki/Q845566","display_name":"Debugging","level":2,"score":0.5645275712013245},{"id":"https://openalex.org/C182620335","wikidata":"https://www.wikidata.org/wiki/Q2852531","display_name":"Answer set programming","level":3,"score":0.5561189651489258},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.5377097129821777},{"id":"https://openalex.org/C97364631","wikidata":"https://www.wikidata.org/wiki/Q484284","display_name":"Deductive reasoning","level":2,"score":0.5350880026817322},{"id":"https://openalex.org/C123657996","wikidata":"https://www.wikidata.org/wiki/Q12271","display_name":"Architecture","level":2,"score":0.4598141610622406},{"id":"https://openalex.org/C101468663","wikidata":"https://www.wikidata.org/wiki/Q1620158","display_name":"Modular design","level":2,"score":0.4497426152229309},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.4202617108821869},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.4153353273868561},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.3570857048034668},{"id":"https://openalex.org/C128838566","wikidata":"https://www.wikidata.org/wiki/Q275603","display_name":"Logic programming","level":2,"score":0.33573463559150696},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.29601433873176575},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.0},{"id":"https://openalex.org/C142362112","wikidata":"https://www.wikidata.org/wiki/Q735","display_name":"Art","level":0,"score":0.0},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0},{"id":"https://openalex.org/C153349607","wikidata":"https://www.wikidata.org/wiki/Q36649","display_name":"Visual arts","level":1,"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:10.24963/ijcai.2023/408","is_oa":true,"landing_page_url":"https://doi.org/10.24963/ijcai.2023/408","pdf_url":"https://www.ijcai.org/proceedings/2023/0408.pdf","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.24963/ijcai.2023/408","is_oa":true,"landing_page_url":"https://doi.org/10.24963/ijcai.2023/408","pdf_url":"https://www.ijcai.org/proceedings/2023/0408.pdf","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence","raw_type":"proceedings-article"},"sustainable_development_goals":[{"display_name":"Quality Education","score":0.5099999904632568,"id":"https://metadata.un.org/sdg/4"}],"awards":[],"funders":[{"id":"https://openalex.org/F4320321004","display_name":"\u00d6sterreichischen Akademie der Wissenschaften","ror":"https://ror.org/03anc3s24"},{"id":"https://openalex.org/F4320322839","display_name":"Technische Universit\u00e4t Wien","ror":"https://ror.org/04d836q62"}],"has_content":{"grobid_xml":false,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4385764258.pdf"},"referenced_works_count":30,"referenced_works":["https://openalex.org/W1902237438","https://openalex.org/W2091138122","https://openalex.org/W2274933339","https://openalex.org/W2561715562","https://openalex.org/W2809925683","https://openalex.org/W2891021031","https://openalex.org/W2963095307","https://openalex.org/W2963234253","https://openalex.org/W2963907629","https://openalex.org/W2994667977","https://openalex.org/W3035758390","https://openalex.org/W3088333893","https://openalex.org/W3125997628","https://openalex.org/W3132507547","https://openalex.org/W3161465839","https://openalex.org/W3165170027","https://openalex.org/W3166984123","https://openalex.org/W3176736844","https://openalex.org/W3184339776","https://openalex.org/W3201068857","https://openalex.org/W3212053370","https://openalex.org/W4206294441","https://openalex.org/W4226136952","https://openalex.org/W4231827019","https://openalex.org/W4285034333","https://openalex.org/W4288046541","https://openalex.org/W4290856251","https://openalex.org/W4297749157","https://openalex.org/W4298084898","https://openalex.org/W4367281679"],"related_works":["https://openalex.org/W4210795803","https://openalex.org/W2903885543","https://openalex.org/W4226368263","https://openalex.org/W1511336005","https://openalex.org/W3000702891","https://openalex.org/W1903938722","https://openalex.org/W3209422886","https://openalex.org/W1875972884","https://openalex.org/W34858115","https://openalex.org/W2785378597"],"abstract_inverted_index":{"Visual":[0],"Question":[1],"Answering":[2],"(VQA)":[3],"is":[4,11,85],"a":[5,15,46,60,65,72],"well-known":[6],"problem":[7],"for":[8,17,68,143],"which":[9,76,95,113],"deep-learning":[10],"key.":[12],"This":[13],"poses":[14],"challenge":[16],"explaining":[18],"answers":[19],"to":[20,45,58,120,135,157],"questions,":[21],"the":[22,82,110,123,126,151,154],"more":[23,117],"if":[24],"advanced":[25],"notions":[26],"like":[27],"contrastive":[28],"explanations":[29],"(CEs)":[30],"should":[31],"be":[32,99],"provided.":[33],"The":[34],"latter":[35],"explain":[36],"why":[37],"an":[38,102],"answer":[39],"has":[40],"been":[41],"reached":[42],"in":[43,94],"contrast":[44],"different":[47],"one":[48],"and":[49,147],"are":[50],"attractive":[51],"as":[52,87,101],"they":[53],"focus":[54],"on":[55,109],"reasons":[56],"necessary":[57],"flip":[59],"query":[61],"answer.":[62],"We":[63,105],"present":[64],"CE":[66,96],"framework":[67],"VQA":[69,74],"that":[70],"uses":[71],"neurosymbolic":[73],"architecture":[75],"disentangles":[77],"perception":[78],"from":[79],"reasoning.":[80,158],"Once":[81],"reasoning":[83],"part":[84],"provided":[86],"logical":[88],"theory,":[89],"we":[90,114,130,138],"use":[91],"answer-set":[92],"programming,":[93],"generation":[97],"can":[98,139],"framed":[100],"abduction":[103],"problem.":[104],"validate":[106],"our":[107],"approach":[108,156],"CLEVR":[111],"dataset,":[112],"extend":[115],"by":[116],"sophisticated":[118],"questions":[119],"further":[121],"demonstrate":[122],"robustness":[124],"of":[125,153],"modular":[127],"architecture.":[128],"While":[129],"achieve":[131],"top":[132],"performance":[133],"compared":[134],"related":[136],"approaches,":[137],"also":[140],"produce":[141],"CEs":[142],"explanation,":[144],"model":[145],"debugging,":[146],"validation":[148],"tasks,":[149],"showing":[150],"versatility":[152],"declarative":[155]},"counts_by_year":[{"year":2026,"cited_by_count":3},{"year":2025,"cited_by_count":4},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":2}],"updated_date":"2026-08-01T09:00:35.917206","created_date":"2025-10-10T00:00:00"}