{"id":"https://openalex.org/W7162405861","doi":"https://doi.org/10.48550/arxiv.2605.23997","title":"IVR-R1: Refining Trajectories through Iterative Visual-Grounded Reasoning in Reinforcement Learning","display_name":"IVR-R1: Refining Trajectories through Iterative Visual-Grounded Reasoning in Reinforcement Learning","publication_year":2026,"publication_date":"2026-05-18","ids":{"openalex":"https://openalex.org/W7162405861","doi":"https://doi.org/10.48550/arxiv.2605.23997"},"language":null,"primary_location":{"id":"doi:10.48550/arxiv.2605.23997","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2605.23997","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.2605.23997","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5137062888","display_name":"Chenghao Li","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Li, Chenghao","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100604062","display_name":"Fusheng Hao","orcid":"https://orcid.org/0000-0003-1490-2235"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Hao, Fusheng","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5111031558","display_name":"Xikai Zhang","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Zhang, Xikai","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101230915","display_name":"Likang Xiao","orcid":"https://orcid.org/0009-0001-1346-1282"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Xiao, Likang","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5137075153","display_name":"Yanwei Ren","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Ren, Yanwei","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5136994247","display_name":"Fuxiang Wu","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Wu, Fuxiang","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5137049322","display_name":"Quan Chen","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Chen, Quan","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5137051441","display_name":"Liu Liu","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Liu, Liu","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":0.9822999835014343,"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":0.9822999835014343,"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":0.0017000000225380063,"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/T10028","display_name":"Topic Modeling","score":0.001500000013038516,"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":0.6305999755859375},{"id":"https://openalex.org/keywords/visual-reasoning","display_name":"Visual reasoning","score":0.5870000123977661},{"id":"https://openalex.org/keywords/consistency","display_name":"Consistency (knowledge bases)","score":0.5121999979019165},{"id":"https://openalex.org/keywords/visualization","display_name":"Visualization","score":0.40849998593330383},{"id":"https://openalex.org/keywords/motion","display_name":"Motion (physics)","score":0.3880000114440918},{"id":"https://openalex.org/keywords/trajectory","display_name":"Trajectory","score":0.37779998779296875},{"id":"https://openalex.org/keywords/causal-reasoning","display_name":"Causal reasoning","score":0.35519999265670776},{"id":"https://openalex.org/keywords/reasoning-system","display_name":"Reasoning system","score":0.319599986076355}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.760200023651123},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6377000212669373},{"id":"https://openalex.org/C97541855","wikidata":"https://www.wikidata.org/wiki/Q830687","display_name":"Reinforcement learning","level":2,"score":0.6305999755859375},{"id":"https://openalex.org/C2777508537","wikidata":"https://www.wikidata.org/wiki/Q7936620","display_name":"Visual reasoning","level":2,"score":0.5870000123977661},{"id":"https://openalex.org/C2776436953","wikidata":"https://www.wikidata.org/wiki/Q5163215","display_name":"Consistency (knowledge bases)","level":2,"score":0.5121999979019165},{"id":"https://openalex.org/C36464697","wikidata":"https://www.wikidata.org/wiki/Q451553","display_name":"Visualization","level":2,"score":0.40849998593330383},{"id":"https://openalex.org/C104114177","wikidata":"https://www.wikidata.org/wiki/Q79782","display_name":"Motion (physics)","level":2,"score":0.3880000114440918},{"id":"https://openalex.org/C13662910","wikidata":"https://www.wikidata.org/wiki/Q193139","display_name":"Trajectory","level":2,"score":0.37779998779296875},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3628999888896942},{"id":"https://openalex.org/C115086926","wikidata":"https://www.wikidata.org/wiki/Q17004651","display_name":"Causal reasoning","level":3,"score":0.35519999265670776},{"id":"https://openalex.org/C89288958","wikidata":"https://www.wikidata.org/wiki/Q7301504","display_name":"Reasoning system","level":2,"score":0.319599986076355},{"id":"https://openalex.org/C107457646","wikidata":"https://www.wikidata.org/wiki/Q207434","display_name":"Human\u2013computer interaction","level":1,"score":0.30649998784065247},{"id":"https://openalex.org/C97364631","wikidata":"https://www.wikidata.org/wiki/Q484284","display_name":"Deductive reasoning","level":2,"score":0.3012999892234802},{"id":"https://openalex.org/C178253425","wikidata":"https://www.wikidata.org/wiki/Q162668","display_name":"Visual perception","level":3,"score":0.2964000105857849},{"id":"https://openalex.org/C2779321571","wikidata":"https://www.wikidata.org/wiki/Q7936605","display_name":"Visual learning","level":2,"score":0.2919999957084656},{"id":"https://openalex.org/C86827895","wikidata":"https://www.wikidata.org/wiki/Q7098582","display_name":"Opportunistic reasoning","level":4,"score":0.29159998893737793},{"id":"https://openalex.org/C43971567","wikidata":"https://www.wikidata.org/wiki/Q3142865","display_name":"Logical reasoning","level":2,"score":0.2833000123500824},{"id":"https://openalex.org/C166088908","wikidata":"https://www.wikidata.org/wiki/Q308495","display_name":"Abductive reasoning","level":2,"score":0.2802000045776367},{"id":"https://openalex.org/C89611455","wikidata":"https://www.wikidata.org/wiki/Q6804646","display_name":"Mechanism (biology)","level":2,"score":0.2718000113964081},{"id":"https://openalex.org/C2778251979","wikidata":"https://www.wikidata.org/wiki/Q7936617","display_name":"Visual processing","level":3,"score":0.26750001311302185},{"id":"https://openalex.org/C2777055276","wikidata":"https://www.wikidata.org/wiki/Q7936580","display_name":"Visual approach","level":2,"score":0.26269999146461487},{"id":"https://openalex.org/C2779982483","wikidata":"https://www.wikidata.org/wiki/Q6094420","display_name":"Iterative refinement","level":2,"score":0.2513999938964844}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.48550/arxiv.2605.23997","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2605.23997","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.2605.23997","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2605.23997","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":{"Multimodal":[0],"large":[1],"language":[2],"models":[3],"via":[4],"reinforcement":[5,169],"learning":[6,170],"(RL)":[7],"have":[8],"demonstrated":[9],"remarkable":[10],"capabilities":[11],"in":[12,21,69,182],"complex":[13,183],"visual":[14,28,38,61,66,93,134,180],"reasoning":[15,50,71,98,130,151],"tasks,":[16],"yet":[17],"they":[18],"remain":[19],"limited":[20],"long-horizon":[22],"multimodal":[23,124,161,184],"scenarios,":[24],"often":[25],"suffering":[26],"from":[27],"hallucination":[29],"and":[30,60,72,179],"logical":[31,178],"error.":[32],"Current":[33],"methods":[34],"typically":[35],"pre-encode":[36],"high-dimensional":[37],"scenes":[39,62],"into":[40],"discrete":[41],"textual":[42],"proxies":[43],"to":[44,64,100,111],"facilitate":[45],"downstream":[46],"reasoning.":[47,185],"As":[48],"the":[49,54,123,154],"chain":[51],"unfolds,":[52],"however,":[53],"inherent":[55],"information":[56],"asymmetry":[57],"between":[58],"text":[59],"tends":[63],"erode":[65],"grounding,":[67],"resulting":[68],"misguided":[70],"erroneous":[73],"outputs.":[74],"To":[75],"address":[76],"this":[77],"issue,":[78],"we":[79],"introduce":[80],"IVR-R1":[81,115,165],"(Iterative":[82],"Visual-grounded":[83],"Reasoning),":[84],"a":[85,107,117,136,173],"novel":[86],"RL":[87],"training":[88],"framework":[89],"that":[90,95,147,164],"facilitates":[91],"dynamic":[92],"re-alignment":[94],"actively":[96],"rectifies":[97],"trajectories":[99],"guide":[101],"policy":[102,155],"optimization.":[103],"Specifically,":[104],"by":[105],"leveraging":[106],"reward-driven":[108],"screening":[109],"mechanism":[110],"identify":[112],"flawed":[113],"rollouts,":[114],"executes":[116],"fine-grained,":[118],"step-level":[119],"error":[120],"attribution":[121],"within":[122],"context.":[125],"By":[126],"iteratively":[127],"cross-referencing":[128],"intermediate":[129],"states":[131],"against":[132],"pristine":[133],"priors,":[135],"Re-Reasoning":[137],"Loop":[138],"enables":[139],"automated":[140],"trajectory":[141],"rectification,":[142],"effectively":[143],"synthesizing":[144],"expert-level":[145],"demonstrations":[146],"serve":[148],"as":[149],"high-fidelity":[150],"templates":[152],"for":[153,176],"model.":[156],"Our":[157],"experiments":[158],"across":[159],"diverse":[160],"benchmarks":[162],"demonstrate":[163],"consistently":[166],"outperforms":[167],"existing":[168],"methods,":[171],"establishing":[172],"superior":[174],"paradigm":[175],"maintaining":[177],"consistency":[181]},"counts_by_year":[],"updated_date":"2026-07-01T06:00:48.157686","created_date":"2026-05-27T00:00:00"}
