{"id":"https://openalex.org/W7135196770","doi":"https://doi.org/10.48550/arxiv.2603.12262","title":"Video Streaming Thinking: VideoLLMs Can Watch and Think Simultaneously","display_name":"Video Streaming Thinking: VideoLLMs Can Watch and Think Simultaneously","publication_year":2026,"publication_date":"2026-03-12","ids":{"openalex":"https://openalex.org/W7135196770","doi":"https://doi.org/10.48550/arxiv.2603.12262"},"language":null,"primary_location":{"id":"doi:10.48550/arxiv.2603.12262","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2603.12262","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.2603.12262","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5128922174","display_name":"Yiran Guan","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Guan, Yiran","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5128949665","display_name":"Liang Yin","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Yin, Liang","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5129007078","display_name":"Dingkang Liang","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Liang, Dingkang","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5128936207","display_name":"Jianzhong Ju","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Ju, Jianzhong","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5129064042","display_name":"Zhenbo Luo","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Luo, Zhenbo","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5128958742","display_name":"Jian Luan","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Luan, Jian","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5129057712","display_name":"Yuliang Liu","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Liu, Yuliang","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5128935478","display_name":"Xiang Bai","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Bai, Xiang","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/T11714","display_name":"Multimodal Machine Learning Applications","score":0.7354999780654907,"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":0.7354999780654907,"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/T10775","display_name":"Generative Adversarial Networks and Image Synthesis","score":0.05719999969005585,"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/T11307","display_name":"Domain Adaptation and Few-Shot Learning","score":0.04439999908208847,"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/pipeline","display_name":"Pipeline (software)","score":0.46720001101493835},{"id":"https://openalex.org/keywords/latency","display_name":"Latency (audio)","score":0.42719998955726624},{"id":"https://openalex.org/keywords/generalization","display_name":"Generalization","score":0.41830000281333923},{"id":"https://openalex.org/keywords/clips","display_name":"CLIPS","score":0.4068000018596649},{"id":"https://openalex.org/keywords/online-video","display_name":"Online video","score":0.3741999864578247},{"id":"https://openalex.org/keywords/focus","display_name":"Focus (optics)","score":0.3628000020980835},{"id":"https://openalex.org/keywords/comprehension","display_name":"Comprehension","score":0.3416999876499176},{"id":"https://openalex.org/keywords/cognition","display_name":"Cognition","score":0.3384999930858612}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.826200008392334},{"id":"https://openalex.org/C49774154","wikidata":"https://www.wikidata.org/wiki/Q131765","display_name":"Multimedia","level":1,"score":0.4837000072002411},{"id":"https://openalex.org/C43521106","wikidata":"https://www.wikidata.org/wiki/Q2165493","display_name":"Pipeline (software)","level":2,"score":0.46720001101493835},{"id":"https://openalex.org/C82876162","wikidata":"https://www.wikidata.org/wiki/Q17096504","display_name":"Latency (audio)","level":2,"score":0.42719998955726624},{"id":"https://openalex.org/C177148314","wikidata":"https://www.wikidata.org/wiki/Q170084","display_name":"Generalization","level":2,"score":0.41830000281333923},{"id":"https://openalex.org/C2778739407","wikidata":"https://www.wikidata.org/wiki/Q165372","display_name":"CLIPS","level":2,"score":0.4068000018596649},{"id":"https://openalex.org/C2988167200","wikidata":"https://www.wikidata.org/wiki/Q16885149","display_name":"Online video","level":2,"score":0.3741999864578247},{"id":"https://openalex.org/C192209626","wikidata":"https://www.wikidata.org/wiki/Q190909","display_name":"Focus (optics)","level":2,"score":0.3628000020980835},{"id":"https://openalex.org/C107457646","wikidata":"https://www.wikidata.org/wiki/Q207434","display_name":"Human\u2013computer interaction","level":1,"score":0.35679998993873596},{"id":"https://openalex.org/C511192102","wikidata":"https://www.wikidata.org/wiki/Q5156948","display_name":"Comprehension","level":2,"score":0.3416999876499176},{"id":"https://openalex.org/C169900460","wikidata":"https://www.wikidata.org/wiki/Q2200417","display_name":"Cognition","level":2,"score":0.3384999930858612},{"id":"https://openalex.org/C61641136","wikidata":"https://www.wikidata.org/wiki/Q1107019","display_name":"Cognitive load","level":3,"score":0.3244999945163727},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3133000135421753},{"id":"https://openalex.org/C202474056","wikidata":"https://www.wikidata.org/wiki/Q1931635","display_name":"Video tracking","level":3,"score":0.29249998927116394},{"id":"https://openalex.org/C2780513914","wikidata":"https://www.wikidata.org/wiki/Q18210350","display_name":"Bottleneck","level":2,"score":0.26899999380111694},{"id":"https://openalex.org/C184337299","wikidata":"https://www.wikidata.org/wiki/Q1437428","display_name":"Semantics (computer science)","level":2,"score":0.2630999982357025},{"id":"https://openalex.org/C186967261","wikidata":"https://www.wikidata.org/wiki/Q5082128","display_name":"Mobile device","level":2,"score":0.2556999921798706},{"id":"https://openalex.org/C124304363","wikidata":"https://www.wikidata.org/wiki/Q673661","display_name":"Abstraction","level":2,"score":0.2533000111579895},{"id":"https://openalex.org/C43971567","wikidata":"https://www.wikidata.org/wiki/Q3142865","display_name":"Logical reasoning","level":2,"score":0.25200000405311584},{"id":"https://openalex.org/C65483669","wikidata":"https://www.wikidata.org/wiki/Q3536669","display_name":"Video processing","level":2,"score":0.25110000371932983}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.48550/arxiv.2603.12262","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2603.12262","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.2603.12262","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2603.12262","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":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"Online":[0],"Video":[1,43],"Large":[2],"Language":[3],"Models":[4],"(VideoLLMs)":[5],"play":[6],"a":[7,22,47,56,93,119],"critical":[8],"role":[9],"in":[10,118],"supporting":[11],"responsive,":[12],"real-time":[13,80],"interaction.":[14],"Existing":[15],"methods":[16,32],"focus":[17],"on":[18,167,172,176,182,200],"streaming":[19,51,108,140,147],"perception,":[20],"lacking":[21],"synchronized":[23],"logical":[24],"reasoning":[25,63,85,152,186],"stream.":[26,159],"However,":[27],"directly":[28],"applying":[29],"test-time":[30],"scaling":[31],"incurs":[33],"unacceptable":[34],"response":[35],"latency.":[36],"To":[37],"address":[38],"this":[39],"trade-off,":[40],"we":[41,91,125],"propose":[42],"Streaming":[44],"Thinking":[45],"(VST),":[46],"novel":[48],"paradigm":[49],"for":[50],"video":[52,66,88,121,134,158,210],"understanding.":[53],"It":[54],"supports":[55],"thinking":[57],"while":[58,78],"watching":[59],"mechanism,":[60],"which":[61,100,112],"activates":[62],"over":[64,87],"incoming":[65],"clips":[67],"during":[68],"streaming.":[69],"This":[70],"design":[71],"improves":[72],"timely":[73],"comprehension":[74],"and":[75,110,153,174,196,205,215],"coherent":[76],"cognition":[77],"preserving":[79],"responsiveness":[81],"by":[82],"amortizing":[83],"LLM":[84],"latency":[86],"playback.":[89],"Furthermore,":[90],"introduce":[92],"comprehensive":[94],"post-training":[95],"pipeline":[96,131],"that":[97,132,163],"integrates":[98],"VST-SFT,":[99],"structurally":[101],"adapts":[102],"the":[103,157],"offline":[104,183],"VideoLLM":[105],"to":[106,137,149,156],"causal":[107],"reasoning,":[109],"VST-RL,":[111],"provides":[113],"end-to-end":[114],"improvement":[115,199],"through":[116],"self-exploration":[117],"multi-turn":[120],"interaction":[122],"environment.":[123],"Additionally,":[124],"devise":[126],"an":[127,144],"automated":[128],"training-data":[129],"synthesis":[130],"uses":[133],"knowledge":[135],"graphs":[136],"generate":[138],"high-quality":[139],"QA":[141],"pairs,":[142],"with":[143,189],"entity-relation":[145],"grounded":[146],"Chain-of-Thought":[148],"enforce":[150],"multi-evidence":[151],"sustained":[154],"attention":[155],"Extensive":[160],"evaluations":[161],"show":[162],"VST-7B":[164],"performs":[165],"strongly":[166],"online":[168],"benchmarks,":[169],"e.g.":[170],"79.5%":[171],"StreamingBench":[173],"59.3%":[175],"OVO-Bench.":[177],"Meanwhile,":[178],"VST":[179,191],"remains":[180],"competitive":[181],"long-form":[184],"or":[185],"benchmarks.":[187],"Compared":[188],"Video-R1,":[190],"responds":[192],"15.7":[193],"times":[194],"faster":[195],"achieves":[197],"+5.4%":[198],"VideoHolmes,":[201],"demonstrating":[202],"higher":[203],"efficiency":[204],"strong":[206],"generalization":[207],"across":[208],"diverse":[209],"understanding":[211],"tasks.":[212],"Code,":[213],"data,":[214],"models":[216],"will":[217],"be":[218],"released":[219],"at":[220],"https://github.com/1ranGuan/VST.":[221]},"counts_by_year":[],"updated_date":"2026-07-01T06:00:48.157686","created_date":"2026-03-14T00:00:00"}
