{"id":"https://openalex.org/W4412888201","doi":"https://doi.org/10.18653/v1/2025.findings-acl.597","title":"Large Language Models Are Natural Video Popularity Predictors","display_name":"Large Language Models Are Natural Video Popularity Predictors","publication_year":2025,"publication_date":"2025-01-01","ids":{"openalex":"https://openalex.org/W4412888201","doi":"https://doi.org/10.18653/v1/2025.findings-acl.597"},"language":"en","primary_location":{"id":"doi:10.18653/v1/2025.findings-acl.597","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/2025.findings-acl.597","pdf_url":"https://aclanthology.org/2025.findings-acl.597.pdf","source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Findings of the Association for Computational Linguistics: ACL 2025","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://aclanthology.org/2025.findings-acl.597.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5104083222","display_name":"Pratik Kayal","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Pratik Kayal","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5000845063","display_name":"Pascal Mettes","orcid":"https://orcid.org/0000-0001-9275-5942"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Pascal Mettes","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5078338477","display_name":"Nima Dehmamy","orcid":"https://orcid.org/0000-0003-1617-5502"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Nima Dehmamy","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5100646722","display_name":"Minsu Park","orcid":"https://orcid.org/0000-0001-8429-8999"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Minsu Park","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":true,"cited_by_count":5,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"11432","last_page":"11464"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10028","display_name":"Topic Modeling","score":0.9519000053405762,"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":0.9519000053405762,"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/T11147","display_name":"Misinformation and Its Impacts","score":0.9434000253677368,"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/T13910","display_name":"Computational and Text Analysis Methods","score":0.9289000034332275,"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/popularity","display_name":"Popularity","score":0.8383029103279114},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7737470269203186},{"id":"https://openalex.org/keywords/natural","display_name":"Natural (archaeology)","score":0.4461108148097992},{"id":"https://openalex.org/keywords/natural-language","display_name":"Natural language","score":0.42118144035339355},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.3514106273651123},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.34520938992500305},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.09048420190811157},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.06074860692024231}],"concepts":[{"id":"https://openalex.org/C2780586970","wikidata":"https://www.wikidata.org/wiki/Q1357284","display_name":"Popularity","level":2,"score":0.8383029103279114},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7737470269203186},{"id":"https://openalex.org/C2776608160","wikidata":"https://www.wikidata.org/wiki/Q4785462","display_name":"Natural (archaeology)","level":2,"score":0.4461108148097992},{"id":"https://openalex.org/C195324797","wikidata":"https://www.wikidata.org/wiki/Q33742","display_name":"Natural language","level":2,"score":0.42118144035339355},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.3514106273651123},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.34520938992500305},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.09048420190811157},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.06074860692024231},{"id":"https://openalex.org/C166957645","wikidata":"https://www.wikidata.org/wiki/Q23498","display_name":"Archaeology","level":1,"score":0.0},{"id":"https://openalex.org/C77805123","wikidata":"https://www.wikidata.org/wiki/Q161272","display_name":"Social psychology","level":1,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.18653/v1/2025.findings-acl.597","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/2025.findings-acl.597","pdf_url":"https://aclanthology.org/2025.findings-acl.597.pdf","source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Findings of the Association for Computational Linguistics: ACL 2025","raw_type":"proceedings-article"},{"id":"pmh:oai:dare.uva.nl:openaire_cris_publications/89cb9b43-0a5f-4732-b786-5ba329cd6179","is_oa":true,"landing_page_url":"https://handle.uba.uva.nl/personal/pure/en/publications/large-language-models-are-natural-video-popularity-predictors(89cb9b43-0a5f-4732-b786-5ba329cd6179).html","pdf_url":null,"source":{"id":"https://openalex.org/S4306400088","display_name":"UvA-DARE (University of Amsterdam)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I887064364","host_organization_name":"University of Amsterdam","host_organization_lineage":["https://openalex.org/I887064364"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Kayal, P, Mettes, P, Dehmamy, N & Park, M 2025, Large Language Models Are Natural Video Popularity Predictors. in W Che, J Nabende, E Shutova & M T Pilehvar (eds), The 63rd Annual Meeting of the Association for Computational Linguistics (ACL 2025) : Findings of the Association for Computational Linguistics: ACL 2025 : ACL 2025 : July 27-August 1, 2025. Kerrville, TX, pp. 11432\u201311464, 63rd Annual Meeting of the Association for Computational Linguistics, ACL 2025, Vienna, Austria, 27/07/25. https://doi.org/10.18653/v1/2025.findings-acl.597","raw_type":"info:eu-repo/semantics/conferenceObject"},{"id":"pmh:oai:dare.uva.nl:publications/89cb9b43-0a5f-4732-b786-5ba329cd6179","is_oa":true,"landing_page_url":"https://hdl.handle.net/11245.1/89cb9b43-0a5f-4732-b786-5ba329cd6179","pdf_url":null,"source":{"id":"https://openalex.org/S4306400088","display_name":"UvA-DARE (University of Amsterdam)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I887064364","host_organization_name":"University of Amsterdam","host_organization_lineage":["https://openalex.org/I887064364"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Kayal, P, Mettes, P, Dehmamy, N & Park, M 2025, Large Language Models Are Natural Video Popularity Predictors. in W Che, J Nabende, E Shutova & M T Pilehvar (eds), The 63rd Annual Meeting of the Association for Computational Linguistics (ACL 2025) : Findings of the Association for Computational Linguistics: ACL 2025 : ACL 2025 : July 27-August 1, 2025. Kerrville, TX, pp. 11432\u201311464, 63rd Annual Meeting of the Association for Computational Linguistics, ACL 2025, Vienna, Austria, 27/07/25. https://doi.org/10.18653/v1/2025.findings-acl.597","raw_type":"info:eu-repo/semantics/conferenceObject"}],"best_oa_location":{"id":"doi:10.18653/v1/2025.findings-acl.597","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/2025.findings-acl.597","pdf_url":"https://aclanthology.org/2025.findings-acl.597.pdf","source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Findings of the Association for Computational Linguistics: ACL 2025","raw_type":"proceedings-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G3288531224","display_name":null,"funder_award_id":"CG001","funder_id":"https://openalex.org/F4320330069","funder_display_name":"Tamkeen"},{"id":"https://openalex.org/G8833531855","display_name":null,"funder_award_id":"CG001","funder_id":"https://openalex.org/F4320313203","funder_display_name":"New York University Abu Dhabi"}],"funders":[{"id":"https://openalex.org/F4320313203","display_name":"New York University Abu Dhabi","ror":"https://ror.org/00e5k0821"},{"id":"https://openalex.org/F4320330069","display_name":"Tamkeen","ror":null}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4412888201.pdf","grobid_xml":"https://content.openalex.org/works/W4412888201.grobid-xml"},"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W2368605798","https://openalex.org/W2518037665","https://openalex.org/W2348524959","https://openalex.org/W2477036161","https://openalex.org/W2368049389","https://openalex.org/W2384861574","https://openalex.org/W3204019825","https://openalex.org/W4226226396","https://openalex.org/W3153750606","https://openalex.org/W4308854837"],"abstract_inverted_index":{"Predicting":[0],"video":[1,19,55,94,180],"popularity":[2,20,181],"is":[3,21],"often":[4,32],"framed":[5],"as":[6,179],"a":[7,93,99,166],"supervised":[8,100],"learning":[9],"task,":[10],"relying":[11],"heavily":[12],"on":[13],"meta-information":[14],"and":[15,26,57,79,86,145,169],"aggregated":[16],"engagement":[17,82],"data.However,":[18],"shaped":[22],"by":[23],"complex":[24],"cultural":[25],"social":[27],"factors":[28],"that":[29,35,158],"such":[30,178],"approaches":[31],"overlook.We":[33],"argue":[34],"Large":[36],"Language":[37],"Models":[38],"(LLMs),":[39],"with":[40,121,161],"their":[41],"deep":[42],"contextual":[43,176],"awareness,":[44],"can":[45],"better":[46],"capture":[47],"these":[48,143],"nuances.To":[49],"bridge":[50],"the":[51,117,122,129,140,151],"gap":[52],"between":[53],"pixel-based":[54],"data":[56],"token-based":[58],"LLMs,":[59,159],"we":[60],"convert":[61],"frame-level":[62],"visuals":[63],"into":[64],"sequential":[65],"text":[66],"representations":[67],"using":[68,103],"Vision-Language":[69],"Models.This":[70],"enables":[71],"LLMs":[72],"to":[73,127],"process":[74],"multimodal":[75,163],"content-titles,":[76],"frame-based":[77],"descriptions,":[78],"captions-capturing":[80],"both":[81],"intensity":[83],"(view":[84],"count)":[85],"geographic":[87],"spread":[88],"(number":[89],"of":[90,142],"countries":[91],"where":[92],"trends).On":[95],"13,639":[96],"popular":[97],"videos,":[98],"neural":[101,118],"network":[102],"content":[104],"embeddings":[105],"achieves":[106],"80%":[107],"accuracy,":[108],"while":[109],"our":[110,155],"LLM-based":[111],"approach":[112],"reaches":[113],"82%":[114],"without":[115],"fine-tuning.Combining":[116],"network's":[119],"predictions":[120],"LLM":[123,130],"further":[124],"improves":[125],"accuracy":[126],"85.5%.Moreover,":[128],"generates":[131],"interpretable,":[132,168],"attribute-based":[133],"explanations":[134],"for":[135,172],"its":[136],"predictions.Manual":[137],"validations":[138],"confirm":[139],"quality":[141],"hypotheses":[144],"address":[146],"concerns":[147],"about":[148],"hallucinations":[149],"in":[150],"video-to-text":[152],"conversion":[153],"process.Overall,":[154],"findings":[156],"suggest":[157],"equipped":[160],"text-based":[162],"representations,":[164],"offer":[165],"powerful,":[167],"data-efficient":[170],"solution":[171],"tasks":[173],"requiring":[174],"rich":[175],"insight,":[177],"prediction.":[182]},"counts_by_year":[{"year":2026,"cited_by_count":3},{"year":2025,"cited_by_count":2}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}