{"id":"https://openalex.org/W7155096105","doi":"https://doi.org/10.48550/arxiv.2604.16893","title":"EasyVideoR1: Easier RL for Video Understanding","display_name":"EasyVideoR1: Easier RL for Video Understanding","publication_year":2026,"publication_date":"2026-04-18","ids":{"openalex":"https://openalex.org/W7155096105","doi":"https://doi.org/10.48550/arxiv.2604.16893"},"language":null,"primary_location":{"id":"doi:10.48550/arxiv.2604.16893","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2604.16893","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":false,"raw_source_name":null,"raw_type":"article"},"type":"preprint","indexed_in":["datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://doi.org/10.48550/arxiv.2604.16893","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5134168596","display_name":"Chuanyu Qin","orcid":null},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Qin, Chuanyu","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5134122916","display_name":"Chenxu Yang","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Yang, Chenxu","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5134133624","display_name":"Qingyi Si","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Si, Qingyi","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5134173057","display_name":"Naibin Gu","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Gu, Naibin","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5013346368","display_name":"Dingyu Yao","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Yao, Dingyu","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5134108025","display_name":"Zheng Lin","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Lin, Zheng","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5134180670","display_name":"Peng Fu","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Fu, Peng","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5134164941","display_name":"Nan Duan","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Duan, Nan","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5134164884","display_name":"Jiaqi Wang","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Wang, Jiaqi","raw_affiliation_strings":[],"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":9,"corresponding_author_ids":["https://openalex.org/A5134168596"],"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":0.9473000168800354,"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":0.9473000168800354,"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":0.014000000432133675,"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/T12026","display_name":"Explainable Artificial Intelligence (XAI)","score":0.006800000090152025,"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/reinforcement-learning","display_name":"Reinforcement learning","score":0.5174000263214111},{"id":"https://openalex.org/keywords/pipeline","display_name":"Pipeline (software)","score":0.5171999931335449},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.4677000045776367},{"id":"https://openalex.org/keywords/preprocessor","display_name":"Preprocessor","score":0.4185999929904938},{"id":"https://openalex.org/keywords/overhead","display_name":"Overhead (engineering)","score":0.4106999933719635},{"id":"https://openalex.org/keywords/asynchronous-communication","display_name":"Asynchronous communication","score":0.4074999988079071},{"id":"https://openalex.org/keywords/scalability","display_name":"Scalability","score":0.39969998598098755},{"id":"https://openalex.org/keywords/decoding-methods","display_name":"Decoding methods","score":0.39800000190734863},{"id":"https://openalex.org/keywords/modalities","display_name":"Modalities","score":0.3785000145435333}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8411999940872192},{"id":"https://openalex.org/C97541855","wikidata":"https://www.wikidata.org/wiki/Q830687","display_name":"Reinforcement learning","level":2,"score":0.5174000263214111},{"id":"https://openalex.org/C43521106","wikidata":"https://www.wikidata.org/wiki/Q2165493","display_name":"Pipeline (software)","level":2,"score":0.5171999931335449},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.4677000045776367},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.45660001039505005},{"id":"https://openalex.org/C34736171","wikidata":"https://www.wikidata.org/wiki/Q918333","display_name":"Preprocessor","level":2,"score":0.4185999929904938},{"id":"https://openalex.org/C2779960059","wikidata":"https://www.wikidata.org/wiki/Q7113681","display_name":"Overhead (engineering)","level":2,"score":0.4106999933719635},{"id":"https://openalex.org/C151319957","wikidata":"https://www.wikidata.org/wiki/Q752739","display_name":"Asynchronous communication","level":2,"score":0.4074999988079071},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4007999897003174},{"id":"https://openalex.org/C48044578","wikidata":"https://www.wikidata.org/wiki/Q727490","display_name":"Scalability","level":2,"score":0.39969998598098755},{"id":"https://openalex.org/C57273362","wikidata":"https://www.wikidata.org/wiki/Q576722","display_name":"Decoding methods","level":2,"score":0.39800000190734863},{"id":"https://openalex.org/C2779903281","wikidata":"https://www.wikidata.org/wiki/Q6888026","display_name":"Modalities","level":2,"score":0.3785000145435333},{"id":"https://openalex.org/C161765866","wikidata":"https://www.wikidata.org/wiki/Q184748","display_name":"Codec","level":2,"score":0.36880001425743103},{"id":"https://openalex.org/C2780513914","wikidata":"https://www.wikidata.org/wiki/Q18210350","display_name":"Bottleneck","level":2,"score":0.36230000853538513},{"id":"https://openalex.org/C101468663","wikidata":"https://www.wikidata.org/wiki/Q1620158","display_name":"Modular design","level":2,"score":0.32829999923706055},{"id":"https://openalex.org/C107457646","wikidata":"https://www.wikidata.org/wiki/Q207434","display_name":"Human\u2013computer interaction","level":1,"score":0.3172000050544739},{"id":"https://openalex.org/C165064840","wikidata":"https://www.wikidata.org/wiki/Q1321061","display_name":"Matching (statistics)","level":2,"score":0.31029999256134033},{"id":"https://openalex.org/C49020025","wikidata":"https://www.wikidata.org/wiki/Q1059099","display_name":"Chaining","level":2,"score":0.3089999854564667},{"id":"https://openalex.org/C127705205","wikidata":"https://www.wikidata.org/wiki/Q5748245","display_name":"Heuristics","level":2,"score":0.30790001153945923},{"id":"https://openalex.org/C202474056","wikidata":"https://www.wikidata.org/wiki/Q1931635","display_name":"Video tracking","level":3,"score":0.30410000681877136},{"id":"https://openalex.org/C175154964","wikidata":"https://www.wikidata.org/wiki/Q380077","display_name":"Task analysis","level":3,"score":0.30160000920295715},{"id":"https://openalex.org/C49774154","wikidata":"https://www.wikidata.org/wiki/Q131765","display_name":"Multimedia","level":1,"score":0.2824999988079071},{"id":"https://openalex.org/C22367795","wikidata":"https://www.wikidata.org/wiki/Q7625208","display_name":"Structured prediction","level":2,"score":0.28139999508857727},{"id":"https://openalex.org/C65483669","wikidata":"https://www.wikidata.org/wiki/Q3536669","display_name":"Video processing","level":2,"score":0.2768000066280365},{"id":"https://openalex.org/C157764524","wikidata":"https://www.wikidata.org/wiki/Q1383412","display_name":"Throughput","level":3,"score":0.27230000495910645},{"id":"https://openalex.org/C44210515","wikidata":"https://www.wikidata.org/wiki/Q16968978","display_name":"Bespoke","level":2,"score":0.27090001106262207},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.2624000012874603},{"id":"https://openalex.org/C48145219","wikidata":"https://www.wikidata.org/wiki/Q1335365","display_name":"Security token","level":2,"score":0.2524999976158142}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.48550/arxiv.2604.16893","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2604.16893","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":"doi:10.48550/arxiv.2604.16893","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2604.16893","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":false,"raw_source_name":null,"raw_type":"article"},"sustainable_development_goals":[{"score":0.6180145144462585,"id":"https://metadata.un.org/sdg/9","display_name":"Industry, innovation and infrastructure"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"Reinforcement":[0],"learning":[1,99,179],"from":[2],"verifiable":[3],"rewards":[4],"(RLVR)":[5],"has":[6],"demonstrated":[7],"remarkable":[8],"effectiveness":[9],"in":[10],"improving":[11],"the":[12,40,46,58,114,178,194],"reasoning":[13],"capabilities":[14],"of":[15,42,49,60,180],"large":[16,105],"language":[17],"models.":[18],"As":[19],"models":[20,107],"evolve":[21],"into":[22],"natively":[23],"multimodal":[24],"architectures,":[25],"extending":[26],"RLVR":[27],"to":[28,39,197],"video":[29,43,86,109,120,133,151,212],"understanding":[30,110,213],"becomes":[31],"increasingly":[32],"important":[33],"yet":[34],"remains":[35],"largely":[36],"unexplored,":[37],"due":[38],"diversity":[41],"task":[44],"types,":[45],"computational":[47],"overhead":[48],"repeatedly":[50],"decoding":[51,134],"and":[52,57,77,96,127,135,152,159,202],"preprocessing":[53,126],"high-dimensional":[54],"visual":[55],"inputs,":[56],"difficulty":[59],"reproducible":[61],"evaluation":[62,207],"across":[63],"numerous":[64],"sensitive":[65],"hyperparameters.":[66],"Existing":[67],"open-source":[68],"RL":[69,121],"training":[70,104,122,167,187],"frameworks":[71],"provide":[72],"solid":[73],"infrastructure":[74],"for":[75,85,103],"text":[76],"image":[78,153],"scenarios":[79],"but":[80],"lack":[81],"systematic":[82],"optimizations":[83],"tailored":[84],"modality.":[87],"In":[88],"this":[89],"work,":[90],"we":[91],"present":[92],"\\textbf{EasyVideoR1},":[93],"a":[94,118,137,143,163],"complete":[95],"efficient":[97],"reinforcement":[98],"framework":[100,208],"specifically":[101],"designed":[102],"vision-language":[106],"on":[108],"tasks.":[111],"EasyVideoR1":[112],"makes":[113],"following":[115],"contributions:":[116],"(1)":[117],"full":[119],"pipeline":[123],"with":[124,156,174,188,215,220],"offline":[125],"tensor":[128],"caching":[129],"that":[130,169],"eliminates":[131],"redundant":[132],"yields":[136],"1.47":[138],"$\\times$":[139],"throughput":[140],"improvement;":[141],"(2)":[142],"comprehensive,":[144],"task-aware":[145],"reward":[146],"system":[147],"covering":[148,209],"11":[149],"distinct":[150],"problem":[154],"types":[155],"unified":[157],"routing":[158],"modular":[160],"extension;":[161],"(3)":[162],"mixed":[164],"offline-online":[165],"data":[166],"paradigm":[168],"combines":[170],"curated":[171],"high-quality":[172],"trajectories":[173],"on-policy":[175],"exploration,":[176],"benefiting":[177],"more":[181],"challenging":[182],"tasks;":[183],"(4)":[184],"joint":[185],"image-video":[186],"independently":[189],"configurable":[190],"pixel":[191],"budgets,":[192],"allowing":[193],"two":[195],"modalities":[196],"mutually":[198],"reinforce":[199],"each":[200],"other;":[201],"(5)":[203],"an":[204],"asynchronous":[205],"multi-benchmark":[206],"22":[210],"mainstream":[211],"benchmarks,":[214],"reproduced":[216],"accuracy":[217],"closely":[218],"aligned":[219],"officially":[221],"reported":[222],"scores.":[223]},"counts_by_year":[],"updated_date":"2026-04-22T06:07:44.442478","created_date":"2026-04-22T00:00:00"}
