{"id":"https://openalex.org/W4405875870","doi":"https://doi.org/10.48550/arxiv.2412.13333","title":"Beyond Accuracy: On the Effects of Fine-tuning Towards Vision-Language Model's Prediction Rationality","display_name":"Beyond Accuracy: On the Effects of Fine-tuning Towards Vision-Language Model's Prediction Rationality","publication_year":2024,"publication_date":"2024-12-17","ids":{"openalex":"https://openalex.org/W4405875870","doi":"https://doi.org/10.48550/arxiv.2412.13333"},"language":"en","primary_location":{"id":"pmh:oai:arXiv.org:2412.13333","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2412.13333","pdf_url":"https://arxiv.org/pdf/2412.13333","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-nc-sa","license_id":"https://openalex.org/licenses/cc-by-nc-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},"type":"preprint","indexed_in":["arxiv","datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/2412.13333","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5101488347","display_name":"Qitong Wang","orcid":"https://orcid.org/0000-0001-5708-7600"},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Wang, Qitong","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101908035","display_name":"Tang Li","orcid":"https://orcid.org/0000-0003-0741-9157"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Li, Tang","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5037582759","display_name":"Kien X. Nguyen","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Nguyen, Kien X.","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5022800038","display_name":"Xi Peng","orcid":"https://orcid.org/0000-0002-5727-2790"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Peng, Xi","raw_affiliation_strings":[],"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5101488347"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":true,"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/T10757","display_name":"Geographic Information Systems Studies","score":0.6777999997138977,"subfield":{"id":"https://openalex.org/subfields/3305","display_name":"Geography, Planning and Development"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},"topics":[{"id":"https://openalex.org/T10757","display_name":"Geographic Information Systems Studies","score":0.6777999997138977,"subfield":{"id":"https://openalex.org/subfields/3305","display_name":"Geography, Planning and Development"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T10181","display_name":"Natural Language Processing Techniques","score":0.6159999966621399,"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/T12031","display_name":"Speech and dialogue systems","score":0.597000002861023,"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/rationality","display_name":"Rationality","score":0.8900362253189087},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5166459679603577},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4193209707736969},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3319552540779114},{"id":"https://openalex.org/keywords/cognitive-psychology","display_name":"Cognitive psychology","score":0.32857632637023926},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.2879785895347595},{"id":"https://openalex.org/keywords/epistemology","display_name":"Epistemology","score":0.24883300065994263},{"id":"https://openalex.org/keywords/philosophy","display_name":"Philosophy","score":0.156967431306839}],"concepts":[{"id":"https://openalex.org/C201717286","wikidata":"https://www.wikidata.org/wiki/Q938185","display_name":"Rationality","level":2,"score":0.8900362253189087},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5166459679603577},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4193209707736969},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3319552540779114},{"id":"https://openalex.org/C180747234","wikidata":"https://www.wikidata.org/wiki/Q23373","display_name":"Cognitive psychology","level":1,"score":0.32857632637023926},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.2879785895347595},{"id":"https://openalex.org/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","level":1,"score":0.24883300065994263},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.156967431306839}],"mesh":[],"locations_count":2,"locations":[{"id":"pmh:oai:arXiv.org:2412.13333","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2412.13333","pdf_url":"https://arxiv.org/pdf/2412.13333","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-nc-sa","license_id":"https://openalex.org/licenses/cc-by-nc-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},{"id":"doi:10.48550/arxiv.2412.13333","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2412.13333","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":"pmh:oai:arXiv.org:2412.13333","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2412.13333","pdf_url":"https://arxiv.org/pdf/2412.13333","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-nc-sa","license_id":"https://openalex.org/licenses/cc-by-nc-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G1523888516","display_name":null,"funder_award_id":"FA9550-","funder_id":"https://openalex.org/F4320338279","funder_display_name":"Air Force Office of Scientific Research"},{"id":"https://openalex.org/G3291852259","display_name":"III: Small: Developing A Trustworthy Toolbox for Double-Correct Predictive Modeling in Sciences","funder_award_id":"2412675","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G4476323318","display_name":"CAREER: Advancing Trustworthy Machine Learning for Distributed Scientific Data Analytics","funder_award_id":"2340074","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G4904336943","display_name":"SLES:Orchestrating Model, System, and Hardware for Safe Learning in Autonomous Vehicles","funder_award_id":"2416937","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G5809100787","display_name":null,"funder_award_id":"FA9550","funder_id":"https://openalex.org/F4320338279","funder_display_name":"Air Force Office of Scientific Research"},{"id":"https://openalex.org/G6671297155","display_name":null,"funder_award_id":"CAREER","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G848032724","display_name":null,"funder_award_id":"Science","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"}],"funders":[{"id":"https://openalex.org/F4320306076","display_name":"National Science Foundation","ror":"https://ror.org/021nxhr62"},{"id":"https://openalex.org/F4320338279","display_name":"Air Force Office of Scientific Research","ror":"https://ror.org/011e9bt93"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4405875870.pdf","grobid_xml":"https://content.openalex.org/works/W4405875870.grobid-xml"},"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W2961085424","https://openalex.org/W4306674287","https://openalex.org/W4387369504","https://openalex.org/W3046775127","https://openalex.org/W4394896187","https://openalex.org/W3170094116","https://openalex.org/W4386462264","https://openalex.org/W3107602296","https://openalex.org/W4364306694","https://openalex.org/W4312192474"],"abstract_inverted_index":{"Vision-Language":[0],"Models":[1],"(VLMs),":[2],"such":[3],"as":[4],"CLIP,":[5],"have":[6],"already":[7],"seen":[8],"widespread":[9],"applications.":[10],"Researchers":[11],"actively":[12],"engage":[13],"in":[14,18],"further":[15],"fine-tuning":[16,44,87],"VLMs":[17,121],"safety-critical":[19],"domains.":[20],"In":[21],"these":[22],"domains,":[23],"prediction":[24,29,46],"rationality":[25,47],"is":[26,48],"crucial:":[27],"the":[28,41,79,85,101,110,130],"should":[30],"be":[31],"correct":[32,92,104,127],"and":[33,63,73,138],"based":[34,94],"on":[35,45,70,95],"valid":[36,115],"evidence.":[37,97],"Yet,":[38],"for":[39],"VLMs,":[40],"impact":[42],"of":[43,103,117],"seldomly":[49],"investigated.":[50],"To":[51],"study":[52],"this":[53],"problem,":[54],"we":[55,82],"proposed":[56],"two":[57],"new":[58],"metrics":[59],"called":[60],"Prediction":[61],"Trustworthiness":[62],"Inference":[64],"Reliability.":[65],"We":[66,143],"conducted":[67],"extensive":[68],"experiments":[69],"various":[71,140],"settings":[72],"observed":[74],"some":[75],"interesting":[76],"phenomena.":[77],"On":[78,109],"one":[80],"hand,":[81,112],"found":[83],"that":[84],"well-adopted":[86],"methods":[88],"led":[89],"to":[90,125,150],"more":[91,123],"predictions":[93,105],"invalid":[96],"This":[98],"potentially":[99],"undermines":[100],"trustworthiness":[102],"from":[106],"fine-tuned":[107,120],"VLMs.":[108],"other":[111],"having":[113],"identified":[114],"evidence":[116],"target":[118],"objects,":[119],"were":[122],"likely":[124],"make":[126],"predictions.":[128],"Moreover,":[129],"findings":[131],"are":[132],"also":[133],"consistent":[134],"under":[135],"distributional":[136],"shifts":[137],"across":[139],"experimental":[141],"settings.":[142],"hope":[144],"our":[145],"research":[146],"offer":[147],"fresh":[148],"insights":[149],"VLM":[151],"fine-tuning.":[152]},"counts_by_year":[],"updated_date":"2026-04-10T15:06:20.359241","created_date":"2025-10-10T00:00:00"}
