{"id":"https://openalex.org/W7125385486","doi":"https://doi.org/10.48550/arxiv.2601.15115","title":"Training-Free and Interpretable Hateful Video Detection via Multi-stage Adversarial Reasoning","display_name":"Training-Free and Interpretable Hateful Video Detection via Multi-stage Adversarial Reasoning","publication_year":2026,"publication_date":"2026-01-21","ids":{"openalex":"https://openalex.org/W7125385486","doi":"https://doi.org/10.48550/arxiv.2601.15115"},"language":null,"primary_location":{"id":"doi:10.48550/arxiv.2601.15115","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2601.15115","pdf_url":null,"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":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Preprint"},"type":"preprint","indexed_in":["datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://doi.org/10.48550/arxiv.2601.15115","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5103804962","display_name":"Shuonan Yang","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Yang, Shuonan","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5123610144","display_name":"Yuchen Zhang","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Zhang, Yuchen","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5123618856","display_name":"Zeyu Fu","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Fu, Zeyu","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":0,"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/T12262","display_name":"Hate Speech and Cyberbullying Detection","score":0.7336000204086304,"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/T12262","display_name":"Hate Speech and Cyberbullying Detection","score":0.7336000204086304,"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/T10775","display_name":"Generative Adversarial Networks and Image Synthesis","score":0.10920000076293945,"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/T11689","display_name":"Adversarial Robustness in Machine Learning","score":0.05480000004172325,"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/adversarial-system","display_name":"Adversarial system","score":0.7856000065803528},{"id":"https://openalex.org/keywords/transparency","display_name":"Transparency (behavior)","score":0.6179999709129333},{"id":"https://openalex.org/keywords/code","display_name":"Code (set theory)","score":0.34380000829696655},{"id":"https://openalex.org/keywords/key","display_name":"Key (lock)","score":0.3276999890804291},{"id":"https://openalex.org/keywords/compliance","display_name":"Compliance (psychology)","score":0.32499998807907104},{"id":"https://openalex.org/keywords/foundation","display_name":"Foundation (evidence)","score":0.31940001249313354}],"concepts":[{"id":"https://openalex.org/C37736160","wikidata":"https://www.wikidata.org/wiki/Q1801315","display_name":"Adversarial system","level":2,"score":0.7856000065803528},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7091000080108643},{"id":"https://openalex.org/C2780233690","wikidata":"https://www.wikidata.org/wiki/Q535347","display_name":"Transparency (behavior)","level":2,"score":0.6179999709129333},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5701000094413757},{"id":"https://openalex.org/C2776760102","wikidata":"https://www.wikidata.org/wiki/Q5139990","display_name":"Code (set theory)","level":3,"score":0.34380000829696655},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.3276999890804291},{"id":"https://openalex.org/C2781460075","wikidata":"https://www.wikidata.org/wiki/Q1399332","display_name":"Compliance (psychology)","level":2,"score":0.32499998807907104},{"id":"https://openalex.org/C2780966255","wikidata":"https://www.wikidata.org/wiki/Q5474306","display_name":"Foundation (evidence)","level":2,"score":0.31940001249313354},{"id":"https://openalex.org/C2776240099","wikidata":"https://www.wikidata.org/wiki/Q327018","display_name":"Interrogation","level":2,"score":0.3125},{"id":"https://openalex.org/C20162079","wikidata":"https://www.wikidata.org/wiki/Q1151406","display_name":"Case-based reasoning","level":2,"score":0.3050000071525574},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.2985999882221222},{"id":"https://openalex.org/C83260615","wikidata":"https://www.wikidata.org/wiki/Q6773121","display_name":"Mars Exploration Program","level":2,"score":0.2939999997615814},{"id":"https://openalex.org/C41065033","wikidata":"https://www.wikidata.org/wiki/Q2825412","display_name":"Adversary","level":2,"score":0.289000004529953},{"id":"https://openalex.org/C51632099","wikidata":"https://www.wikidata.org/wiki/Q3985153","display_name":"Training set","level":2,"score":0.28700000047683716},{"id":"https://openalex.org/C160920958","wikidata":"https://www.wikidata.org/wiki/Q7662746","display_name":"Synthetic data","level":2,"score":0.26179999113082886}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.48550/arxiv.2601.15115","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2601.15115","pdf_url":null,"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":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"Preprint"}],"best_oa_location":{"id":"doi:10.48550/arxiv.2601.15115","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2601.15115","pdf_url":null,"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":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Preprint"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/16","score":0.5360723733901978,"display_name":"Peace, Justice and strong institutions"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"Hateful":[0],"videos":[1],"pose":[2],"serious":[3],"risks":[4],"by":[5,22],"amplifying":[6],"discrimination,":[7],"inciting":[8],"violence,":[9],"and":[10,26,60,112,132,139,157],"undermining":[11],"online":[12],"safety.":[13],"Existing":[14],"training-based":[15,142],"hateful":[16,62,91],"video":[17,72],"detection":[18],"methods":[19,143],"are":[20,107],"constrained":[21],"limited":[23],"training":[24],"data":[25],"lack":[27],"of":[28,71,161],"interpretability,":[29],"while":[30,93],"directly":[31],"prompting":[32],"large":[33],"vision-language":[34],"models":[35],"often":[36],"struggle":[37],"to":[38,99,126,135],"deliver":[39],"reliable":[40,59],"hate":[41],"detection.":[42,64],"To":[43],"address":[44],"these":[45,105],"challenges,":[46],"this":[47],"paper":[48],"introduces":[49],"MARS,":[50],"a":[51,75,110],"training-free":[52,137],"Multi-stage":[53],"Adversarial":[54],"ReaSoning":[55],"framework":[56],"that":[57,88,122],"enables":[58],"interpretable":[61],"content":[63,162],"MARS":[65,123,149],"begins":[66],"with":[67],"the":[68,159],"objective":[69],"description":[70],"content,":[73],"establishing":[74],"neutral":[76],"foundation":[77],"for":[78],"subsequent":[79],"analysis.":[80],"Building":[81],"on":[82,117,144],"this,":[83],"it":[84],"develops":[85],"evidence-based":[86],"reasoning":[87,98],"supports":[89],"potential":[90],"interpretations,":[92],"in":[94],"parallel":[95],"incorporating":[96],"counter-evidence":[97],"capture":[100],"plausible":[101],"non-hateful":[102],"perspectives.":[103],"Finally,":[104],"perspectives":[106],"synthesized":[108],"into":[109],"conclusive":[111],"explainable":[113],"decision.":[114],"Extensive":[115],"evaluation":[116],"two":[118],"real-world":[119],"datasets":[120],"shows":[121],"achieves":[124],"up":[125],"10%":[127],"improvement":[128],"under":[129],"certain":[130],"backbones":[131],"settings":[133],"compared":[134],"other":[136],"approaches":[138],"outperforms":[140],"state-of-the-art":[141],"one":[145],"dataset.":[146],"In":[147],"addition,":[148],"produces":[150],"human-understandable":[151],"justifications,":[152],"thereby":[153],"supporting":[154],"compliance":[155],"oversight":[156],"enhancing":[158],"transparency":[160],"moderation":[163],"workflows.":[164],"The":[165],"code":[166],"is":[167],"available":[168],"at":[169],"https://github.com/Multimodal-Intelligence-Lab-MIL/MARS.":[170]},"counts_by_year":[],"updated_date":"2026-07-01T06:00:48.157686","created_date":"2026-01-23T00:00:00"}
