{"id":"https://openalex.org/W4415707970","doi":"https://doi.org/10.1109/icme59968.2025.11209845","title":"Harnessing Counterfactual Reasoning for Explainable Multi-Modal Fact Verification with Large Language Models","display_name":"Harnessing Counterfactual Reasoning for Explainable Multi-Modal Fact Verification with Large Language Models","publication_year":2025,"publication_date":"2025-06-30","ids":{"openalex":"https://openalex.org/W4415707970","doi":"https://doi.org/10.1109/icme59968.2025.11209845"},"language":null,"primary_location":{"id":"doi:10.1109/icme59968.2025.11209845","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icme59968.2025.11209845","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 IEEE International Conference on Multimedia and Expo (ICME)","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/A5037831162","display_name":"Chaozhuo Li","orcid":"https://orcid.org/0000-0002-9867-1712"},"institutions":[{"id":"https://openalex.org/I139759216","display_name":"Beijing University of Posts and Telecommunications","ror":"https://ror.org/04w9fbh59","country_code":"CN","type":"education","lineage":["https://openalex.org/I139759216"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chaozhuo Li","raw_affiliation_strings":["Beijing University of Posts and Telecommunications,Key Laboratory of Trustworthy Distributed Computing and Service,Beijing,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Beijing University of Posts and Telecommunications,Key Laboratory of Trustworthy Distributed Computing and Service,Beijing,China","institution_ids":["https://openalex.org/I139759216"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5110516513","display_name":"Pang Hui","orcid":null},"institutions":[{"id":"https://openalex.org/I139759216","display_name":"Beijing University of Posts and Telecommunications","ror":"https://ror.org/04w9fbh59","country_code":"CN","type":"education","lineage":["https://openalex.org/I139759216"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hui Pang","raw_affiliation_strings":["Beijing University of Posts and Telecommunications,Key Laboratory of Trustworthy Distributed Computing and Service,Beijing,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Beijing University of Posts and Telecommunications,Key Laboratory of Trustworthy Distributed Computing and Service,Beijing,China","institution_ids":["https://openalex.org/I139759216"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5052913961","display_name":"Xi Zhang","orcid":"https://orcid.org/0000-0002-1105-9417"},"institutions":[{"id":"https://openalex.org/I139759216","display_name":"Beijing University of Posts and Telecommunications","ror":"https://ror.org/04w9fbh59","country_code":"CN","type":"education","lineage":["https://openalex.org/I139759216"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xi Zhang","raw_affiliation_strings":["Beijing University of Posts and Telecommunications,Key Laboratory of Trustworthy Distributed Computing and Service,Beijing,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Beijing University of Posts and Telecommunications,Key Laboratory of Trustworthy Distributed Computing and Service,Beijing,China","institution_ids":["https://openalex.org/I139759216"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101599254","display_name":"Litian Zhang","orcid":"https://orcid.org/0000-0002-6981-3873"},"institutions":[{"id":"https://openalex.org/I82880672","display_name":"Beihang University","ror":"https://ror.org/00wk2mp56","country_code":"CN","type":"education","lineage":["https://openalex.org/I82880672"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Litian Zhang","raw_affiliation_strings":["Beihang University,School of Cyber Science and Technology,Beijing,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Beihang University,School of Cyber Science and Technology,Beijing,China","institution_ids":["https://openalex.org/I82880672"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5033233243","display_name":"Feiran Huang","orcid":"https://orcid.org/0000-0003-4294-0212"},"institutions":[{"id":"https://openalex.org/I34949971","display_name":"University of Jinan","ror":"https://ror.org/02mjz6f26","country_code":"CN","type":"education","lineage":["https://openalex.org/I34949971"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Feiran Huang","raw_affiliation_strings":["Jinan University,College of Cyber Security,Jinan,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Jinan University,College of Cyber Security,Jinan,China","institution_ids":["https://openalex.org/I34949971"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5102014973","display_name":"Ming Lu","orcid":"https://orcid.org/0000-0001-6174-7528"},"institutions":[{"id":"https://openalex.org/I4210108109","display_name":"Beijing Enterprises (China)","ror":"https://ror.org/01egb4878","country_code":"CN","type":"company","lineage":["https://openalex.org/I4210108109"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ming Lu","raw_affiliation_strings":["Zhongguancun Rongzhi Enterprise Management Innovation Promotion Center,Beijing,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Zhongguancun Rongzhi Enterprise Management Innovation Promotion Center,Beijing,China","institution_ids":["https://openalex.org/I4210108109"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.38062392,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11147","display_name":"Misinformation and Its Impacts","score":0.8507000207901001,"subfield":{"id":"https://openalex.org/subfields/3312","display_name":"Sociology and Political Science"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},"topics":[{"id":"https://openalex.org/T11147","display_name":"Misinformation and Its Impacts","score":0.8507000207901001,"subfield":{"id":"https://openalex.org/subfields/3312","display_name":"Sociology and Political Science"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T11714","display_name":"Multimodal Machine Learning Applications","score":0.04859999939799309,"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/T12026","display_name":"Explainable Artificial Intelligence (XAI)","score":0.019999999552965164,"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/interpretability","display_name":"Interpretability","score":0.9169999957084656},{"id":"https://openalex.org/keywords/counterfactual-thinking","display_name":"Counterfactual thinking","score":0.8651000261306763},{"id":"https://openalex.org/keywords/consistency","display_name":"Consistency (knowledge bases)","score":0.539900004863739},{"id":"https://openalex.org/keywords/misinformation","display_name":"Misinformation","score":0.47360000014305115},{"id":"https://openalex.org/keywords/natural-language","display_name":"Natural language","score":0.39660000801086426},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.36959999799728394},{"id":"https://openalex.org/keywords/relevance","display_name":"Relevance (law)","score":0.3650999963283539},{"id":"https://openalex.org/keywords/natural-language-generation","display_name":"Natural language generation","score":0.3628999888896942}],"concepts":[{"id":"https://openalex.org/C2781067378","wikidata":"https://www.wikidata.org/wiki/Q17027399","display_name":"Interpretability","level":2,"score":0.9169999957084656},{"id":"https://openalex.org/C108650721","wikidata":"https://www.wikidata.org/wiki/Q1783253","display_name":"Counterfactual thinking","level":2,"score":0.8651000261306763},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7455999851226807},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5649999976158142},{"id":"https://openalex.org/C2776436953","wikidata":"https://www.wikidata.org/wiki/Q5163215","display_name":"Consistency (knowledge bases)","level":2,"score":0.539900004863739},{"id":"https://openalex.org/C2776990098","wikidata":"https://www.wikidata.org/wiki/Q13579947","display_name":"Misinformation","level":2,"score":0.47360000014305115},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4043000042438507},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.396699994802475},{"id":"https://openalex.org/C195324797","wikidata":"https://www.wikidata.org/wiki/Q33742","display_name":"Natural language","level":2,"score":0.39660000801086426},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.36959999799728394},{"id":"https://openalex.org/C158154518","wikidata":"https://www.wikidata.org/wiki/Q7310970","display_name":"Relevance (law)","level":2,"score":0.3650999963283539},{"id":"https://openalex.org/C2776187449","wikidata":"https://www.wikidata.org/wiki/Q1513879","display_name":"Natural language generation","level":3,"score":0.3628999888896942},{"id":"https://openalex.org/C2779439875","wikidata":"https://www.wikidata.org/wiki/Q1078276","display_name":"Natural language understanding","level":3,"score":0.3596999943256378},{"id":"https://openalex.org/C195344581","wikidata":"https://www.wikidata.org/wiki/Q2555318","display_name":"Automated reasoning","level":2,"score":0.3580000102519989},{"id":"https://openalex.org/C182306322","wikidata":"https://www.wikidata.org/wiki/Q1779371","display_name":"Order (exchange)","level":2,"score":0.35659998655319214},{"id":"https://openalex.org/C511192102","wikidata":"https://www.wikidata.org/wiki/Q5156948","display_name":"Comprehension","level":2,"score":0.3560999929904938},{"id":"https://openalex.org/C137293760","wikidata":"https://www.wikidata.org/wiki/Q3621696","display_name":"Language model","level":2,"score":0.33629998564720154},{"id":"https://openalex.org/C161301231","wikidata":"https://www.wikidata.org/wiki/Q3478658","display_name":"Knowledge representation and reasoning","level":2,"score":0.325300008058548},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.31189998984336853},{"id":"https://openalex.org/C108154423","wikidata":"https://www.wikidata.org/wiki/Q1469792","display_name":"Salience (neuroscience)","level":2,"score":0.28369998931884766},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.26159998774528503},{"id":"https://openalex.org/C184337299","wikidata":"https://www.wikidata.org/wiki/Q1437428","display_name":"Semantics (computer science)","level":2,"score":0.25839999318122864},{"id":"https://openalex.org/C37335422","wikidata":"https://www.wikidata.org/wiki/Q6888134","display_name":"Model-based reasoning","level":3,"score":0.2549999952316284},{"id":"https://openalex.org/C62230096","wikidata":"https://www.wikidata.org/wiki/Q275969","display_name":"Crowdsourcing","level":2,"score":0.2538999915122986},{"id":"https://openalex.org/C127705205","wikidata":"https://www.wikidata.org/wiki/Q5748245","display_name":"Heuristics","level":2,"score":0.25279998779296875}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icme59968.2025.11209845","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icme59968.2025.11209845","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 IEEE International Conference on Multimedia and Expo (ICME)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":20,"referenced_works":["https://openalex.org/W2598545596","https://openalex.org/W2888482885","https://openalex.org/W2896997271","https://openalex.org/W2950336186","https://openalex.org/W2963961878","https://openalex.org/W2970641574","https://openalex.org/W3017402509","https://openalex.org/W3105295588","https://openalex.org/W3156738579","https://openalex.org/W3215028386","https://openalex.org/W4221148143","https://openalex.org/W4224313980","https://openalex.org/W4224316507","https://openalex.org/W4321485796","https://openalex.org/W4383175621","https://openalex.org/W4383860112","https://openalex.org/W4385570504","https://openalex.org/W4385571920","https://openalex.org/W4387968110","https://openalex.org/W4403577386"],"related_works":[],"abstract_inverted_index":{"With":[0],"the":[1,8,33,44,72,97,110,130,155,158],"rapid":[2],"advancement":[3],"of":[4,10,46,76,101,113,157],"online":[5],"social":[6,18],"networks,":[7],"proliferation":[9],"misinformation":[11],"has":[12],"exerted":[13],"significant":[14],"influence":[15],"on":[16],"both":[17,71],"order":[19],"and":[20,29,42,74,86,91,99,126,148],"individual":[21],"decision-making.":[22],"Traditional":[23],"manual":[24],"fact-checking":[25,56,82],"methods":[26],"are":[27],"resource-intensive":[28],"lack":[30],"scalability,":[31],"highlighting":[32],"urgent":[34],"need":[35],"for":[36,129],"automated":[37,77],"approaches":[38],"to":[39,69,95],"verify":[40],"claims":[41,115,141],"foster":[43],"dissemination":[45],"truthful":[47],"content.":[48],"In":[49],"this":[50],"work,":[51],"we":[52],"introduce":[53],"a":[54],"novel":[55],"framework,":[57],"MLLM-CRMFC,":[58],"which":[59],"integrates":[60],"multi-modal":[61,81,114],"large":[62],"language":[63,120],"models":[64],"(MLLMs)":[65],"with":[66,124],"counterfactual":[67,92],"reasoning":[68,93],"enhance":[70,154],"accuracy":[73],"interpretability":[75,156],"fact":[78],"verification.":[79],"Our":[80],"method":[83],"processes":[84],"textual":[85],"visual":[87],"data,":[88],"utilizing":[89],"LLMs":[90],"mechanisms":[94],"evaluate":[96],"relevance":[98],"consistency":[100],"diverse":[102],"evidence.":[103],"The":[104],"proposed":[105],"framework":[106],"not":[107],"only":[108],"predicts":[109],"verification":[111,159],"outcomes":[112],"but":[116],"also":[117],"generates":[118],"natural":[119],"explanations,":[121],"providing":[122],"users":[123],"transparent":[125],"traceable":[127],"justifications":[128],"decision-making":[131],"process.":[132,160],"Experimental":[133],"results":[134],"demonstrate":[135],"that":[136,153],"our":[137],"model":[138],"effectively":[139],"verifies":[140],"using":[142],"benchmark":[143],"datasets,":[144],"outperforms":[145],"state-of-the-art":[146],"approaches,":[147],"delivers":[149],"coherent,":[150],"fluent":[151],"explanations":[152]},"counts_by_year":[],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-30T00:00:00"}
