{"id":"https://openalex.org/W7148616541","doi":"https://doi.org/10.48550/arxiv.2604.00479","title":"All Roads Lead to Rome: Incentivizing Divergent Thinking in Vision-Language Models","display_name":"All Roads Lead to Rome: Incentivizing Divergent Thinking in Vision-Language Models","publication_year":2026,"publication_date":"2026-04-01","ids":{"openalex":"https://openalex.org/W7148616541","doi":"https://doi.org/10.48550/arxiv.2604.00479"},"language":null,"primary_location":{"id":"doi:10.48550/arxiv.2604.00479","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2604.00479","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"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":"Preprint"},"type":"preprint","indexed_in":["datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://doi.org/10.48550/arxiv.2604.00479","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5132829934","display_name":"Xinyu Tian","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Tian, Xinyu","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101292475","display_name":"Shu Zou","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Zou, Shu","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5132821192","display_name":"Zhaoyuan Yang","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Yang, Zhaoyuan","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5132799625","display_name":"Mengqi He","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"He, Mengqi","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5113686023","display_name":"Peter Tu","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Tu, Peter","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5132818778","display_name":"Jing Zhang","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Zhang, Jing","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/T10462","display_name":"Reinforcement Learning in Robotics","score":0.2483000010251999,"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/T10462","display_name":"Reinforcement Learning in Robotics","score":0.2483000010251999,"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/T11714","display_name":"Multimodal Machine Learning Applications","score":0.21379999816417694,"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":0.0869000032544136,"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":0.5390999913215637},{"id":"https://openalex.org/keywords/divergent-thinking","display_name":"Divergent thinking","score":0.5202000141143799},{"id":"https://openalex.org/keywords/diversity","display_name":"Diversity (politics)","score":0.5123000144958496},{"id":"https://openalex.org/keywords/convergent-thinking","display_name":"Convergent thinking","score":0.4690999984741211},{"id":"https://openalex.org/keywords/lead","display_name":"Lead (geology)","score":0.45410001277923584},{"id":"https://openalex.org/keywords/variety","display_name":"Variety (cybernetics)","score":0.4097000062465668}],"concepts":[{"id":"https://openalex.org/C97541855","wikidata":"https://www.wikidata.org/wiki/Q830687","display_name":"Reinforcement learning","level":2,"score":0.5390999913215637},{"id":"https://openalex.org/C114115404","wikidata":"https://www.wikidata.org/wiki/Q1993172","display_name":"Divergent thinking","level":3,"score":0.5202000141143799},{"id":"https://openalex.org/C2781316041","wikidata":"https://www.wikidata.org/wiki/Q1230584","display_name":"Diversity (politics)","level":2,"score":0.5123000144958496},{"id":"https://openalex.org/C171560490","wikidata":"https://www.wikidata.org/wiki/Q3374857","display_name":"Convergent thinking","level":4,"score":0.4690999984741211},{"id":"https://openalex.org/C2777093003","wikidata":"https://www.wikidata.org/wiki/Q6508345","display_name":"Lead (geology)","level":2,"score":0.45410001277923584},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4212000072002411},{"id":"https://openalex.org/C539667460","wikidata":"https://www.wikidata.org/wiki/Q2414942","display_name":"Management science","level":1,"score":0.4147000014781952},{"id":"https://openalex.org/C136197465","wikidata":"https://www.wikidata.org/wiki/Q1729295","display_name":"Variety (cybernetics)","level":2,"score":0.4097000062465668},{"id":"https://openalex.org/C2780586882","wikidata":"https://www.wikidata.org/wiki/Q7520643","display_name":"Simple (philosophy)","level":2,"score":0.39149999618530273},{"id":"https://openalex.org/C42058472","wikidata":"https://www.wikidata.org/wiki/Q810214","display_name":"Base (topology)","level":2,"score":0.37940001487731934},{"id":"https://openalex.org/C180747234","wikidata":"https://www.wikidata.org/wiki/Q23373","display_name":"Cognitive psychology","level":1,"score":0.35190001130104065},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.34619998931884766},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3249000012874603},{"id":"https://openalex.org/C109986646","wikidata":"https://www.wikidata.org/wiki/Q546113","display_name":"Public policy","level":2,"score":0.3158000111579895},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.31369999051094055},{"id":"https://openalex.org/C188147891","wikidata":"https://www.wikidata.org/wiki/Q147638","display_name":"Cognitive science","level":1,"score":0.31310001015663147},{"id":"https://openalex.org/C112930515","wikidata":"https://www.wikidata.org/wiki/Q4389547","display_name":"Risk analysis (engineering)","level":1,"score":0.3109000027179718},{"id":"https://openalex.org/C79416737","wikidata":"https://www.wikidata.org/wiki/Q2305519","display_name":"Social learning","level":2,"score":0.2635999917984009},{"id":"https://openalex.org/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","level":1,"score":0.25949999690055847},{"id":"https://openalex.org/C108867877","wikidata":"https://www.wikidata.org/wiki/Q5186773","display_name":"Critical systems thinking","level":3,"score":0.251800000667572}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.48550/arxiv.2604.00479","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2604.00479","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"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":"Preprint"}],"best_oa_location":{"id":"doi:10.48550/arxiv.2604.00479","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2604.00479","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"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":"Preprint"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/1","display_name":"No poverty","score":0.6277859807014465}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"Recent":[0],"studies":[1],"have":[2],"demonstrated":[3],"that":[4,33,94],"Reinforcement":[5],"Learning":[6],"(RL),":[7],"notably":[8],"Group":[9],"Relative":[10],"Policy":[11,133],"Optimization":[12,134],"(GRPO),":[13],"can":[14],"intrinsically":[15],"elicit":[16],"and":[17,58,81,124,149],"enhance":[18],"the":[19,28,30,35,62,115],"reasoning":[20,111],"capabilities":[21],"of":[22,37,89,110,117],"Vision-Language":[23],"Models":[24],"(VLMs).":[25],"However,":[26],"despite":[27,73],"promise,":[29],"underlying":[31],"mechanisms":[32],"drive":[34],"effectiveness":[36,152],"RL":[38,57],"models":[39,102],"as":[40,42],"well":[41],"their":[43],"limitations":[44],"remain":[45],"underexplored.":[46],"In":[47],"this":[48],"paper,":[49],"we":[50,92,130],"highlight":[51],"a":[52,107,136],"fundamental":[53],"behavioral":[54],"distinction":[55],"between":[56],"base":[59,71],"models,":[60,72],"where":[61],"former":[63],"engages":[64],"in":[65],"deeper":[66],"yet":[67,138],"narrow":[68],"reasoning,":[69],"while":[70,113],"less":[74],"refined":[75],"along":[76],"individual":[77],"path,":[78],"exhibit":[79],"broader":[80],"more":[82],"diverse":[83],"thinking":[84,145],"patterns.":[85],"Through":[86],"further":[87],"analysis":[88],"training":[90],"dynamics,":[91],"show":[93],"GRPO":[95],"is":[96],"prone":[97],"to":[98,103,106,121,142],"diversity":[99],"collapse,":[100],"causing":[101],"prematurely":[104],"converge":[105],"limited":[108],"subset":[109],"strategies":[112],"discarding":[114],"majority":[116],"potential":[118],"alternatives,":[119],"leading":[120],"local":[122],"optima":[123],"poor":[125],"scalability.":[126],"To":[127],"address":[128],"this,":[129],"propose":[131],"Multi-Group":[132],"(MUPO),":[135],"simple":[137],"effective":[139],"approach":[140],"designed":[141],"incentivize":[143],"divergent":[144],"across":[146],"multiple":[147],"solutions,":[148],"demonstrate":[150],"its":[151],"on":[153],"established":[154],"benchmarks.":[155],"Project":[156],"page:":[157],"https://xytian1008.github.io/MUPO/":[158]},"counts_by_year":[],"updated_date":"2026-07-28T07:46:37.118299","created_date":"2026-04-03T00:00:00"}