{"id":"https://openalex.org/W7130360693","doi":"https://doi.org/10.48550/arxiv.2602.15772","title":"Understanding vs. Generation: Navigating Optimization Dilemma in Multimodal Models","display_name":"Understanding vs. Generation: Navigating Optimization Dilemma in Multimodal Models","publication_year":2026,"publication_date":"2026-02-17","ids":{"openalex":"https://openalex.org/W7130360693","doi":"https://doi.org/10.48550/arxiv.2602.15772"},"language":null,"primary_location":{"id":"doi:10.48550/arxiv.2602.15772","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2602.15772","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":"Preprint"},"type":"preprint","indexed_in":["datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://doi.org/10.48550/arxiv.2602.15772","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5126306990","display_name":"Sen Ye","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Ye, Sen","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5004662803","display_name":"Mengde Xu","orcid":"https://orcid.org/0000-0002-5103-3895"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Xu, Mengde","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5034954588","display_name":"Shuyang Gu","orcid":"https://orcid.org/0000-0003-4535-2280"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Gu, Shuyang","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5126304974","display_name":"Di He","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"He, Di","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5126299003","display_name":"Liwei Wang","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Wang, Liwei","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5126293045","display_name":"Han Hu","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Hu, Han","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":0.3630000054836273,"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":0.3630000054836273,"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/T10028","display_name":"Topic Modeling","score":0.10649999976158142,"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/T11902","display_name":"Intelligent Tutoring Systems and Adaptive Learning","score":0.05570000037550926,"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/key","display_name":"Key (lock)","score":0.6449999809265137},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.6245999932289124},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.6054999828338623},{"id":"https://openalex.org/keywords/dilemma","display_name":"Dilemma","score":0.503000020980835},{"id":"https://openalex.org/keywords/generative-grammar","display_name":"Generative grammar","score":0.4413999915122986},{"id":"https://openalex.org/keywords/code","display_name":"Code (set theory)","score":0.31209999322891235}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6941999793052673},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.6449999809265137},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.6245999932289124},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.6054999828338623},{"id":"https://openalex.org/C2778496695","wikidata":"https://www.wikidata.org/wiki/Q254128","display_name":"Dilemma","level":2,"score":0.503000020980835},{"id":"https://openalex.org/C39890363","wikidata":"https://www.wikidata.org/wiki/Q36108","display_name":"Generative grammar","level":2,"score":0.4413999915122986},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4359000027179718},{"id":"https://openalex.org/C2776760102","wikidata":"https://www.wikidata.org/wiki/Q5139990","display_name":"Code (set theory)","level":3,"score":0.31209999322891235},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.28369998931884766},{"id":"https://openalex.org/C539667460","wikidata":"https://www.wikidata.org/wiki/Q2414942","display_name":"Management science","level":1,"score":0.2687000036239624},{"id":"https://openalex.org/C107457646","wikidata":"https://www.wikidata.org/wiki/Q207434","display_name":"Human\u2013computer interaction","level":1,"score":0.2667999863624573},{"id":"https://openalex.org/C175154964","wikidata":"https://www.wikidata.org/wiki/Q380077","display_name":"Task analysis","level":3,"score":0.2639999985694885},{"id":"https://openalex.org/C170477896","wikidata":"https://www.wikidata.org/wiki/Q17039022","display_name":"Ideation","level":2,"score":0.2630000114440918},{"id":"https://openalex.org/C112930515","wikidata":"https://www.wikidata.org/wiki/Q4389547","display_name":"Risk analysis (engineering)","level":1,"score":0.2574999928474426},{"id":"https://openalex.org/C89611455","wikidata":"https://www.wikidata.org/wiki/Q6804646","display_name":"Mechanism (biology)","level":2,"score":0.2517000138759613}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.48550/arxiv.2602.15772","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2602.15772","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":"Preprint"}],"best_oa_location":{"id":"doi:10.48550/arxiv.2602.15772","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2602.15772","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":"Preprint"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"Current":[0],"research":[1],"in":[2],"multimodal":[3,110],"models":[4],"faces":[5],"a":[6,43,67],"key":[7],"challenge":[8],"where":[9],"enhancing":[10],"generative":[11],"capabilities":[12],"often":[13],"comes":[14],"at":[15,115],"the":[16,29,34,47,54,62,75,84,99],"expense":[17],"of":[18,70],"understanding,":[19,40],"and":[20,27,39,91],"vice":[21],"versa.":[22],"We":[23],"analyzed":[24],"this":[25],"trade-off":[26],"identify":[28],"primary":[30],"cause":[31],"might":[32],"be":[33],"potential":[35],"conflict":[36],"between":[37],"generation":[38,64,89,100],"which":[41,95],"creates":[42],"competitive":[44],"dynamic":[45],"within":[46],"model.":[48],"To":[49],"address":[50],"this,":[51],"we":[52,81],"propose":[53],"Reason-Reflect-Refine":[55],"(R3)":[56],"framework.":[57],"This":[58,102],"innovative":[59],"algorithm":[60],"re-frames":[61],"single-step":[63],"task":[65],"into":[66],"multi-step":[68],"process":[69],"\"generate-understand-regenerate\".":[71],"By":[72],"explicitly":[73],"leveraging":[74],"model's":[76],"understanding":[77,93],"capability":[78],"during":[79],"generation,":[80],"successfully":[82],"mitigate":[83],"optimization":[85],"dilemma,":[86],"achieved":[87],"stronger":[88],"results":[90],"improved":[92],"ability":[94],"are":[96],"related":[97],"to":[98],"process.":[101],"offers":[103],"valuable":[104],"insights":[105],"for":[106],"designing":[107],"next-generation":[108],"unified":[109],"models.":[111],"Code":[112],"is":[113],"available":[114],"https://github.com/sen-ye/R3.":[116]},"counts_by_year":[],"updated_date":"2026-07-01T06:00:48.157686","created_date":"2026-02-19T00:00:00"}