{"id":"https://openalex.org/W7141644456","doi":"https://doi.org/10.48550/arxiv.2603.24804","title":"GoldiCLIP: The Goldilocks Approach for Balancing Explicit Supervision for Language-Image Pretraining","display_name":"GoldiCLIP: The Goldilocks Approach for Balancing Explicit Supervision for Language-Image Pretraining","publication_year":2026,"publication_date":"2026-03-25","ids":{"openalex":"https://openalex.org/W7141644456","doi":"https://doi.org/10.48550/arxiv.2603.24804"},"language":null,"primary_location":{"id":"doi:10.48550/arxiv.2603.24804","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2603.24804","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":"article"},"type":"preprint","indexed_in":["datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://doi.org/10.48550/arxiv.2603.24804","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5003287309","display_name":"Deen Dayal Mohan","orcid":"https://orcid.org/0000-0001-9672-3681"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Mohan, Deen Dayal","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5046545544","display_name":"Hossein Souri","orcid":"https://orcid.org/0000-0001-5264-798X"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Souri, Hossein","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5035207753","display_name":"Vitali Petsiuk","orcid":"https://orcid.org/0000-0002-9565-4511"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Petsiuk, Vitali","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5020055570","display_name":"Juhong Min","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Min, Juhong","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5046585816","display_name":"Gopal Krishna Sharma","orcid":"https://orcid.org/0000-0001-9964-7784"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Sharma, Gopal","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5111250650","display_name":"Luowei Zhou","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Zhou, Luowei","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5069769826","display_name":"Suren Kumar","orcid":"https://orcid.org/0000-0002-9706-2827"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Kumar, Suren","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":7,"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":0.9886000156402588,"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":0.9886000156402588,"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/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.0024999999441206455,"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/T10181","display_name":"Natural Language Processing Techniques","score":0.00139999995008111,"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/goldilocks-principle","display_name":"Goldilocks principle","score":0.9545000195503235},{"id":"https://openalex.org/keywords/weighting","display_name":"Weighting","score":0.5889999866485596},{"id":"https://openalex.org/keywords/key","display_name":"Key (lock)","score":0.5758000016212463},{"id":"https://openalex.org/keywords/encoder","display_name":"Encoder","score":0.5548999905586243},{"id":"https://openalex.org/keywords/baseline","display_name":"Baseline (sea)","score":0.5084999799728394},{"id":"https://openalex.org/keywords/continuation","display_name":"Continuation","score":0.41760000586509705},{"id":"https://openalex.org/keywords/salient","display_name":"Salient","score":0.3619000017642975},{"id":"https://openalex.org/keywords/balance","display_name":"Balance (ability)","score":0.33739998936653137},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.3330000042915344}],"concepts":[{"id":"https://openalex.org/C177321328","wikidata":"https://www.wikidata.org/wiki/Q13580479","display_name":"Goldilocks principle","level":2,"score":0.9545000195503235},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6848000288009644},{"id":"https://openalex.org/C183115368","wikidata":"https://www.wikidata.org/wiki/Q856577","display_name":"Weighting","level":2,"score":0.5889999866485596},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.5758000016212463},{"id":"https://openalex.org/C118505674","wikidata":"https://www.wikidata.org/wiki/Q42586063","display_name":"Encoder","level":2,"score":0.5548999905586243},{"id":"https://openalex.org/C12725497","wikidata":"https://www.wikidata.org/wiki/Q810247","display_name":"Baseline (sea)","level":2,"score":0.5084999799728394},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.49230000376701355},{"id":"https://openalex.org/C88626702","wikidata":"https://www.wikidata.org/wiki/Q1128903","display_name":"Continuation","level":2,"score":0.41760000586509705},{"id":"https://openalex.org/C107457646","wikidata":"https://www.wikidata.org/wiki/Q207434","display_name":"Human\u2013computer interaction","level":1,"score":0.3776000142097473},{"id":"https://openalex.org/C2780719617","wikidata":"https://www.wikidata.org/wiki/Q1030752","display_name":"Salient","level":2,"score":0.3619000017642975},{"id":"https://openalex.org/C168031717","wikidata":"https://www.wikidata.org/wiki/Q1530280","display_name":"Balance (ability)","level":2,"score":0.33739998936653137},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.3330000042915344},{"id":"https://openalex.org/C2779530757","wikidata":"https://www.wikidata.org/wiki/Q1207505","display_name":"Quality (philosophy)","level":2,"score":0.33000001311302185},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3172999918460846},{"id":"https://openalex.org/C113954288","wikidata":"https://www.wikidata.org/wiki/Q186885","display_name":"Timestamp","level":2,"score":0.31369999051094055},{"id":"https://openalex.org/C195094911","wikidata":"https://www.wikidata.org/wiki/Q14167904","display_name":"Process management","level":1,"score":0.3068000078201294},{"id":"https://openalex.org/C89611455","wikidata":"https://www.wikidata.org/wiki/Q6804646","display_name":"Mechanism (biology)","level":2,"score":0.3050000071525574},{"id":"https://openalex.org/C2776502983","wikidata":"https://www.wikidata.org/wiki/Q690182","display_name":"Contrast (vision)","level":2,"score":0.29919999837875366},{"id":"https://openalex.org/C2777256151","wikidata":"https://www.wikidata.org/wiki/Q7897273","display_name":"Unpacking","level":2,"score":0.2946999967098236},{"id":"https://openalex.org/C57273362","wikidata":"https://www.wikidata.org/wiki/Q576722","display_name":"Decoding methods","level":2,"score":0.2890999913215637},{"id":"https://openalex.org/C61797465","wikidata":"https://www.wikidata.org/wiki/Q1188986","display_name":"Term (time)","level":2,"score":0.2856999933719635},{"id":"https://openalex.org/C180747234","wikidata":"https://www.wikidata.org/wiki/Q23373","display_name":"Cognitive psychology","level":1,"score":0.27630001306533813},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.27469998598098755},{"id":"https://openalex.org/C2777415597","wikidata":"https://www.wikidata.org/wiki/Q1546243","display_name":"Grice","level":3,"score":0.27230000495910645},{"id":"https://openalex.org/C175154964","wikidata":"https://www.wikidata.org/wiki/Q380077","display_name":"Task analysis","level":3,"score":0.27219998836517334},{"id":"https://openalex.org/C111335779","wikidata":"https://www.wikidata.org/wiki/Q3454686","display_name":"Reduction (mathematics)","level":2,"score":0.26989999413490295},{"id":"https://openalex.org/C63882131","wikidata":"https://www.wikidata.org/wiki/Q17122954","display_name":"Strengths and weaknesses","level":2,"score":0.2687000036239624},{"id":"https://openalex.org/C48677424","wikidata":"https://www.wikidata.org/wiki/Q6888088","display_name":"Mode (computer interface)","level":2,"score":0.2644999921321869},{"id":"https://openalex.org/C105339364","wikidata":"https://www.wikidata.org/wiki/Q2297740","display_name":"Software deployment","level":2,"score":0.2603999972343445},{"id":"https://openalex.org/C28719098","wikidata":"https://www.wikidata.org/wiki/Q44946","display_name":"Point (geometry)","level":2,"score":0.26010000705718994},{"id":"https://openalex.org/C18762648","wikidata":"https://www.wikidata.org/wiki/Q42213","display_name":"Work (physics)","level":2,"score":0.25450000166893005},{"id":"https://openalex.org/C125411270","wikidata":"https://www.wikidata.org/wiki/Q18653","display_name":"Encoding (memory)","level":2,"score":0.250900000333786}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.48550/arxiv.2603.24804","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2603.24804","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":"article"}],"best_oa_location":{"id":"doi:10.48550/arxiv.2603.24804","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2603.24804","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":"article"},"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":{"Until":[0],"recently,":[1],"the":[2,40,57,97,102,137],"success":[3],"of":[4,39,55,60],"large-scale":[5],"vision-language":[6],"models":[7],"(VLMs)":[8],"has":[9],"primarily":[10],"relied":[11],"on":[12,51,118,144,148,153],"billion-sample":[13],"datasets,":[14],"posing":[15],"a":[16,37,48,52,73],"significant":[17],"barrier":[18],"to":[19,25,77,99],"progress.":[20],"Latest":[21],"works":[22],"have":[23],"begun":[24],"close":[26],"this":[27],"gap":[28],"by":[29,141],"improving":[30,135],"supervision":[31,61],"quality,":[32],"but":[33],"each":[34],"addresses":[35],"only":[36],"subset":[38],"weaknesses":[41],"in":[42],"contrastive":[43],"pretraining.":[44],"We":[45],"present":[46],"GoldiCLIP,":[47],"framework":[49,66],"built":[50],"Goldilocks":[53],"principle":[54],"finding":[56],"right":[58],"balance":[59],"signals.":[62],"Our":[63],"multifaceted":[64],"training":[65],"synergistically":[67],"combines":[68],"three":[69],"key":[70],"innovations:":[71],"(1)":[72],"text-conditioned":[74,82],"self-distillation":[75],"method":[76],"align":[78],"both":[79],"text-agnostic":[80],"and":[81,105,151],"features;":[83],"(2)":[84],"an":[85,107],"encoder":[86,98],"integrated":[87],"decoder":[88],"with":[89,159],"Visual":[90],"Question":[91],"Answering":[92],"(VQA)":[93],"objective":[94],"that":[95,111],"enables":[96],"generalize":[100],"beyond":[101],"caption-like":[103],"queries;":[104],"(3)":[106],"uncertainty-based":[108],"weighting":[109],"mechanism":[110],"automatically":[112],"balances":[113],"all":[114],"heterogeneous":[115],"losses.":[116],"Trained":[117],"just":[119],"30":[120],"million":[121],"images,":[122],"300x":[123],"less":[124],"data":[125],"than":[126],"leading":[127],"methods,":[128],"GoldiCLIP":[129],"achieves":[130],"state-of-the-art":[131],"among":[132],"data-efficient":[133],"approaches,":[134],"over":[136],"best":[138],"comparable":[139],"baseline":[140],"2.2":[142],"points":[143],"MSCOCO":[145],"retrieval,":[146,150,155],"2.0":[147],"fine-grained":[149],"5.9":[152],"question-based":[154],"while":[156],"remaining":[157],"competitive":[158],"billion-scale":[160],"models.":[161],"Project":[162],"page:":[163],"https://petsi.uk/goldiclip.":[164]},"counts_by_year":[],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2026-03-28T00:00:00"}
