{"id":"https://openalex.org/W7154216611","doi":"https://doi.org/10.48550/arxiv.2604.09729","title":"LOLGORITHM: Funny Comment Generation Agent For Short Videos","display_name":"LOLGORITHM: Funny Comment Generation Agent For Short Videos","publication_year":2026,"publication_date":"2026-04-09","ids":{"openalex":"https://openalex.org/W7154216611","doi":"https://doi.org/10.48550/arxiv.2604.09729"},"language":null,"primary_location":{"id":"doi:10.48550/arxiv.2604.09729","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2604.09729","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"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.2604.09729","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5133600998","display_name":"Xuan Ouyang","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Ouyang, Xuan","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":null,"display_name":"Wang, Bouzhou","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Wang, Bouzhou","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":null,"display_name":"Wang, Senan","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Wang, Senan","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5120303699","display_name":"Siyuan Xiahou","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Xiahou, Siyuan","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5082208955","display_name":"Jingbo Zhou","orcid":"https://orcid.org/0000-0001-7889-3089"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Zhou, Jinrong","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5133591674","display_name":"Yuekang Li","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Li, Yuekang","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/T10664","display_name":"Sentiment Analysis and Opinion Mining","score":0.28040000796318054,"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/T10664","display_name":"Sentiment Analysis and Opinion Mining","score":0.28040000796318054,"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/T11714","display_name":"Multimodal Machine Learning Applications","score":0.24120000004768372,"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/T11439","display_name":"Video Analysis and Summarization","score":0.0949999988079071,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/automatic-summarization","display_name":"Automatic summarization","score":0.7778000235557556},{"id":"https://openalex.org/keywords/generalizability-theory","display_name":"Generalizability theory","score":0.7110000252723694},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.5228999853134155},{"id":"https://openalex.org/keywords/online-video","display_name":"Online video","score":0.5081999897956848},{"id":"https://openalex.org/keywords/selection","display_name":"Selection (genetic algorithm)","score":0.5009999871253967},{"id":"https://openalex.org/keywords/stylized-fact","display_name":"Stylized fact","score":0.4991999864578247},{"id":"https://openalex.org/keywords/natural-language-generation","display_name":"Natural language generation","score":0.487199991941452}],"concepts":[{"id":"https://openalex.org/C170858558","wikidata":"https://www.wikidata.org/wiki/Q1394144","display_name":"Automatic summarization","level":2,"score":0.7778000235557556},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7728999853134155},{"id":"https://openalex.org/C27158222","wikidata":"https://www.wikidata.org/wiki/Q5532422","display_name":"Generalizability theory","level":2,"score":0.7110000252723694},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.5228999853134155},{"id":"https://openalex.org/C2988167200","wikidata":"https://www.wikidata.org/wiki/Q16885149","display_name":"Online video","level":2,"score":0.5081999897956848},{"id":"https://openalex.org/C81917197","wikidata":"https://www.wikidata.org/wiki/Q628760","display_name":"Selection (genetic algorithm)","level":2,"score":0.5009999871253967},{"id":"https://openalex.org/C38935604","wikidata":"https://www.wikidata.org/wiki/Q4330363","display_name":"Stylized fact","level":2,"score":0.4991999864578247},{"id":"https://openalex.org/C2776187449","wikidata":"https://www.wikidata.org/wiki/Q1513879","display_name":"Natural language generation","level":3,"score":0.487199991941452},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.459199994802475},{"id":"https://openalex.org/C101468663","wikidata":"https://www.wikidata.org/wiki/Q1620158","display_name":"Modular design","level":2,"score":0.4242999851703644},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.42329999804496765},{"id":"https://openalex.org/C2781249084","wikidata":"https://www.wikidata.org/wiki/Q908656","display_name":"Preference","level":2,"score":0.39750000834465027},{"id":"https://openalex.org/C12725497","wikidata":"https://www.wikidata.org/wiki/Q810247","display_name":"Baseline (sea)","level":2,"score":0.3562000095844269},{"id":"https://openalex.org/C3018412434","wikidata":"https://www.wikidata.org/wiki/Q7889","display_name":"Video game","level":2,"score":0.35040000081062317},{"id":"https://openalex.org/C123657996","wikidata":"https://www.wikidata.org/wiki/Q12271","display_name":"Architecture","level":2,"score":0.34779998660087585},{"id":"https://openalex.org/C2780801425","wikidata":"https://www.wikidata.org/wiki/Q5164392","display_name":"Construct (python library)","level":2,"score":0.3382999897003174},{"id":"https://openalex.org/C49774154","wikidata":"https://www.wikidata.org/wiki/Q131765","display_name":"Multimedia","level":1,"score":0.3330000042915344},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.3287000060081482},{"id":"https://openalex.org/C107457646","wikidata":"https://www.wikidata.org/wiki/Q207434","display_name":"Human\u2013computer interaction","level":1,"score":0.2892000079154968},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.27239999175071716},{"id":"https://openalex.org/C2164484","wikidata":"https://www.wikidata.org/wiki/Q5170150","display_name":"Core (optical fiber)","level":2,"score":0.2696000039577484},{"id":"https://openalex.org/C44291984","wikidata":"https://www.wikidata.org/wiki/Q1074173","display_name":"Question answering","level":2,"score":0.2547999918460846}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.48550/arxiv.2604.09729","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2604.09729","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"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.2604.09729","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2604.09729","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"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/4","score":0.730897843837738,"display_name":"Quality Education"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"Short-form":[0],"video":[1,28,62,76,79],"platforms":[2],"have":[3],"become":[4],"central":[5],"to":[6,36,42,151],"multimedia":[7],"information":[8],"dissemination,":[9],"where":[10],"comments":[11,39,102],"play":[12],"a":[13,54,94],"critical":[14],"role":[15],"in":[16],"driving":[17],"engagement,":[18],"propagation,":[19],"and":[20,30,45,71,81,87,100,109,115,136,165],"algorithmic":[21],"feedback.":[22],"However,":[23],"existing":[24],"approaches":[25],"--":[26,34],"including":[27],"summarization":[29],"live-streaming":[31],"danmaku":[32],"generation":[33,83],"fail":[35],"produce":[37],"authentic":[38],"that":[40,121,146],"conform":[41],"platform-specific":[43],"cultural":[44],"linguistic":[46],"norms.":[47],"In":[48],"this":[49],"paper,":[50],"we":[51],"present":[52],"LOLGORITHM,":[53],"novel":[55],"modular":[56],"multi-agent":[57],"framework":[58,153],"for":[59],"stylized":[60],"short-form":[61],"comment":[63,69,82],"generation.":[64],"LOLGORITHM":[65,122],"supports":[66],"six":[67],"controllable":[68],"styles":[70],"comprises":[72],"three":[73],"core":[74],"modules:":[75],"content":[77],"summarization,":[78],"classification,":[80],"with":[84],"semantic":[85],"retrieval":[86],"hot":[88],"meme":[89],"augmentation.":[90],"We":[91],"further":[92],"construct":[93],"bilingual":[95],"dataset":[96],"of":[97,132,159,167],"3,267":[98],"videos":[99],"16,335":[101],"spanning":[103],"five":[104],"high-engagement":[105],"categories":[106],"across":[107,140],"YouTube":[108,135],"Douyin.":[110],"Evaluation":[111],"combining":[112],"automatic":[113],"scoring":[114],"large-scale":[116],"human":[117,128],"preference":[118,129],"analysis":[119],"demonstrates":[120],"consistently":[123],"outperforms":[124],"baseline":[125],"methods,":[126],"achieving":[127],"selection":[130],"rates":[131],"80.46\\%":[133],"on":[134,138],"84.29\\%":[137],"Douyin":[139],"107":[141],"respondents.":[142],"Ablation":[143],"studies":[144],"confirm":[145],"these":[147],"gains":[148],"are":[149],"attributable":[150],"the":[152,157,163],"architecture":[154],"rather":[155],"than":[156],"choice":[158],"backbone":[160],"LLM,":[161],"underscoring":[162],"robustness":[164],"generalizability":[166],"our":[168],"approach.":[169]},"counts_by_year":[],"updated_date":"2026-07-28T07:46:37.118299","created_date":"2026-04-15T00:00:00"}