{"id":"https://openalex.org/W4378446263","doi":"https://doi.org/10.48550/arxiv.2305.13903","title":"Let's Think Frame by Frame with VIP: A Video Infilling and Prediction Dataset for Evaluating Video Chain-of-Thought","display_name":"Let's Think Frame by Frame with VIP: A Video Infilling and Prediction Dataset for Evaluating Video Chain-of-Thought","publication_year":2023,"publication_date":"2023-05-23","ids":{"openalex":"https://openalex.org/W4378446263","doi":"https://doi.org/10.48550/arxiv.2305.13903"},"language":"en","primary_location":{"id":"pmh:oai:arXiv.org:2305.13903","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2305.13903","pdf_url":"https://arxiv.org/pdf/2305.13903","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":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":null},"type":"preprint","indexed_in":["arxiv","datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/2305.13903","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5002253981","display_name":"Vaishnavi Himakunthala","orcid":null},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Himakunthala, Vaishnavi","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5085633542","display_name":"Andy Ouyang","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Ouyang, Andy","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5062485317","display_name":"Daniel M. Rose","orcid":"https://orcid.org/0009-0005-6431-1080"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Rose, Daniel","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5090510466","display_name":"Ryan He","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"He, Ryan","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5012895395","display_name":"Alex Mei","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Mei, Alex","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5036525093","display_name":"Yujie Lu","orcid":"https://orcid.org/0000-0002-0691-2129"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Lu, Yujie","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5070263103","display_name":"Chinmay Sonar","orcid":"https://orcid.org/0000-0003-0026-4455"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Sonar, Chinmay","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5034254782","display_name":"Michael Saxon","orcid":"https://orcid.org/0000-0001-7306-5030"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Saxon, Michael","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5100702485","display_name":"William Yang Wang","orcid":"https://orcid.org/0000-0001-6153-8240"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Wang, William Yang","raw_affiliation_strings":[],"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":9,"corresponding_author_ids":["https://openalex.org/A5002253981"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":true,"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/T11714","display_name":"Multimodal Machine Learning Applications","score":0.9988999962806702,"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":0.9988999962806702,"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/T10812","display_name":"Human Pose and Action Recognition","score":0.9745000004768372,"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":0.9706000089645386,"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":0.8323425054550171},{"id":"https://openalex.org/keywords/inference","display_name":"Inference","score":0.5769523978233337},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5604426860809326},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.5465594530105591},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3876813054084778},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.3617405295372009},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.3437056243419647}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8323425054550171},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.5769523978233337},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5604426860809326},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.5465594530105591},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3876813054084778},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3617405295372009},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.3437056243419647},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","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":2,"locations":[{"id":"pmh:oai:arXiv.org:2305.13903","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2305.13903","pdf_url":"https://arxiv.org/pdf/2305.13903","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":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":null},{"id":"doi:10.48550/arxiv.2305.13903","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2305.13903","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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"article"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:2305.13903","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2305.13903","pdf_url":"https://arxiv.org/pdf/2305.13903","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":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":null},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G6688003181","display_name":"Collaborative Research: Scaling the Early Research Scholars Program","funder_award_id":"1821415","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"}],"funders":[{"id":"https://openalex.org/F4320306076","display_name":"National Science Foundation","ror":"https://ror.org/021nxhr62"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W2055243143","https://openalex.org/W2770593030","https://openalex.org/W3154990682","https://openalex.org/W2560201613","https://openalex.org/W2171975302","https://openalex.org/W2022352247","https://openalex.org/W2377538627","https://openalex.org/W2107220315","https://openalex.org/W1589637664","https://openalex.org/W4281727072"],"abstract_inverted_index":{"Despite":[0],"exciting":[1],"recent":[2],"results":[3],"showing":[4],"vision-language":[5,44],"systems'":[6],"capacity":[7,16],"to":[8,66,123,155],"reason":[9],"about":[10],"images":[11],"using":[12],"natural":[13],"language,":[14],"their":[15],"for":[17,84,159],"video":[18,25,72,109,148,163],"reasoning":[19,26,69,149],"remains":[20],"under-explored.":[21],"We":[22,133],"motivate":[23],"framing":[24],"as":[27],"the":[28,39,47,96,105,142],"sequential":[29],"understanding":[30],"of":[31,35,43,50,104],"a":[32],"small":[33],"number":[34],"keyframes,":[36,131],"thereby":[37],"leveraging":[38],"power":[40],"and":[41,90,101,117,128,137,151,161],"robustness":[42],"while":[45],"alleviating":[46],"computational":[48],"complexities":[49],"processing":[51],"videos.":[52],"To":[53,107],"evaluate":[54,108],"this":[55],"novel":[56],"application,":[57],"we":[58,80,111],"introduce":[59],"VIP,":[60,140],"an":[61],"inference-time":[62],"challenge":[63],"dataset":[64],"designed":[65],"explore":[67],"models'":[68],"capabilities":[70],"through":[71],"chain-of-thought.":[73],"Inspired":[74],"by":[75],"visually":[76],"descriptive":[77],"scene":[78,92],"plays,":[79],"propose":[81,112],"two":[82,113],"formats":[83],"keyframe":[85],"description:":[86],"unstructured":[87],"dense":[88],"captions":[89],"structured":[91],"descriptions":[93],"that":[94],"identify":[95],"focus,":[97],"action,":[98],"mood,":[99],"objects,":[100],"setting":[102],"(FAMOuS)":[103],"keyframe.":[106],"reasoning,":[110],"tasks:":[114],"Video":[115,118],"Infilling":[116],"Prediction,":[119],"which":[120],"test":[121],"abilities":[122],"generate":[124],"multiple":[125],"intermediate":[126],"keyframes":[127],"predict":[129],"future":[130,153],"respectively.":[132],"benchmark":[134],"GPT-4,":[135],"GPT-3,":[136],"VICUNA":[138],"on":[139],"demonstrate":[141],"performance":[143],"gap":[144],"in":[145],"these":[146],"complex":[147],"tasks,":[150],"encourage":[152],"work":[154],"prioritize":[156],"language":[157],"models":[158],"efficient":[160],"generalized":[162],"reasoning.":[164]},"counts_by_year":[],"updated_date":"2026-04-21T08:09:41.155169","created_date":"2025-10-10T00:00:00"}