{"id":"https://openalex.org/W7151620129","doi":"https://doi.org/10.48550/arxiv.2604.04857","title":"The Blind Spot of Adaptation: Quantifying and Mitigating Forgetting in Fine-tuned Driving Models","display_name":"The Blind Spot of Adaptation: Quantifying and Mitigating Forgetting in Fine-tuned Driving Models","publication_year":2026,"publication_date":"2026-04-06","ids":{"openalex":"https://openalex.org/W7151620129","doi":"https://doi.org/10.48550/arxiv.2604.04857"},"language":null,"primary_location":{"id":"doi:10.48550/arxiv.2604.04857","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2604.04857","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":"article"},"type":"preprint","indexed_in":["datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://doi.org/10.48550/arxiv.2604.04857","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5121460589","display_name":"Runhao Mao","orcid":null},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Mao, Runhao","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5133097670","display_name":"Hanshi Wang","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Wang, Hanshi","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5133142267","display_name":"Yixiang Yang","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Yang, Yixiang","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5133082343","display_name":"Qianli Ma","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Ma, Qianli","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5041671687","display_name":"Jingmeng Zhou","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Zhou, Jingmeng","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5133064373","display_name":"Zhipeng \u5f20\u5fd7\u9e4f Zhang","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Zhang, Zhipeng","raw_affiliation_strings":[],"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5121460589"],"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":0.7803000211715698,"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":0.7803000211715698,"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/T10775","display_name":"Generative Adversarial Networks and Image Synthesis","score":0.06340000033378601,"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":0.05389999970793724,"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/forgetting","display_name":"Forgetting","score":0.7368000149726868},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.5967000126838684},{"id":"https://openalex.org/keywords/inference","display_name":"Inference","score":0.4860000014305115},{"id":"https://openalex.org/keywords/adaptation","display_name":"Adaptation (eye)","score":0.4634000062942505},{"id":"https://openalex.org/keywords/transformative-learning","display_name":"Transformative learning","score":0.4059999883174896},{"id":"https://openalex.org/keywords/generalization","display_name":"Generalization","score":0.4043999910354614}],"concepts":[{"id":"https://openalex.org/C7149132","wikidata":"https://www.wikidata.org/wiki/Q1377840","display_name":"Forgetting","level":2,"score":0.7368000149726868},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.683899998664856},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.5967000126838684},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5705000162124634},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.4860000014305115},{"id":"https://openalex.org/C139807058","wikidata":"https://www.wikidata.org/wiki/Q352374","display_name":"Adaptation (eye)","level":2,"score":0.4634000062942505},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4099999964237213},{"id":"https://openalex.org/C70587473","wikidata":"https://www.wikidata.org/wiki/Q7834111","display_name":"Transformative learning","level":2,"score":0.4059999883174896},{"id":"https://openalex.org/C177148314","wikidata":"https://www.wikidata.org/wiki/Q170084","display_name":"Generalization","level":2,"score":0.4043999910354614},{"id":"https://openalex.org/C2164484","wikidata":"https://www.wikidata.org/wiki/Q5170150","display_name":"Core (optical fiber)","level":2,"score":0.3822999894618988},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.36809998750686646},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.27469998598098755},{"id":"https://openalex.org/C2780440489","wikidata":"https://www.wikidata.org/wiki/Q5227278","display_name":"Data-driven","level":2,"score":0.26930001378059387},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.25929999351501465}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.48550/arxiv.2604.04857","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2604.04857","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":"article"}],"best_oa_location":{"id":"doi:10.48550/arxiv.2604.04857","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2604.04857","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":"article"},"sustainable_development_goals":[{"score":0.7278310656547546,"display_name":"Peace, Justice and strong institutions","id":"https://metadata.un.org/sdg/16"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"The":[0,26],"integration":[1],"of":[2,23,73],"Vision-Language":[3],"Models":[4],"(VLMs)":[5],"into":[6,64],"autonomous":[7,88,182],"driving":[8,162],"promises":[9],"to":[10,31,35,83,125],"solve":[11],"long-tail":[12],"scenarios,":[13],"but":[14,164],"this":[15,65,116],"paradigm":[16],"faces":[17],"the":[18,51,60,78,106,122,126,146,171],"critical":[19],"and":[20,185],"unaddressed":[21],"challenge":[22],"catastrophic":[24,85,168],"forgetting.":[25],"very":[27],"fine-tuning":[28],"process":[29],"used":[30],"adapt":[32],"these":[33],"models":[34],"driving-specific":[36],"data":[37],"simultaneously":[38],"erodes":[39],"their":[40,55],"invaluable":[41],"pre-trained":[42],"world":[43],"knowledge,":[44],"creating":[45],"a":[46,69,111,178],"self-defeating":[47],"paradox":[48],"that":[49,93,114,153,175],"undermines":[50],"core":[52],"reason":[53],"for":[54,181],"use.":[56],"This":[57],"paper":[58],"provides":[59],"first":[61],"systematic":[62],"investigation":[63],"phenomenon.":[66],"We":[67],"introduce":[68],"new":[70],"large-scale":[71],"dataset":[72],"180K":[74],"scenes,":[75],"which":[76],"enables":[77],"first-ever":[79],"benchmark":[80],"specifically":[81],"designed":[82],"quantify":[84],"forgetting":[86],"in":[87],"driving.":[89],"Our":[90],"analysis":[91],"reveals":[92],"existing":[94],"methods":[95],"suffer":[96],"from":[97,121],"significant":[98],"knowledge":[99,135],"degradation.":[100],"To":[101],"address":[102],"this,":[103],"we":[104],"propose":[105],"Drive":[107],"Expert":[108],"Adapter":[109],"(DEA),":[110],"novel":[112],"framework":[113],"circumvents":[115],"trade-off":[117],"by":[118],"shifting":[119],"adaptation":[120],"weight":[123],"space":[124],"prompt":[127],"space.":[128],"DEA":[129],"dynamically":[130],"routes":[131],"inference":[132],"through":[133],"different":[134],"experts":[136],"based":[137],"on":[138,161],"scene-specific":[139],"cues,":[140],"enhancing":[141],"driving-task":[142],"performance":[143],"without":[144],"corrupting":[145],"model's":[147],"foundational":[148],"parameters.":[149],"Extensive":[150],"experiments":[151],"demonstrate":[152],"our":[154],"approach":[155],"not":[156],"only":[157],"achieves":[158],"state-of-the-art":[159],"results":[160],"tasks":[163],"also":[165],"effectively":[166],"mitigates":[167],"forgetting,":[169],"preserving":[170],"essential":[172],"generalization":[173],"capabilities":[174],"make":[176],"VLMs":[177],"transformative":[179],"force":[180],"systems.":[183],"Data":[184],"model":[186],"are":[187],"released":[188],"at":[189],"FidelityDrivingBench.":[190]},"counts_by_year":[],"updated_date":"2026-04-08T06:07:18.267832","created_date":"2026-04-08T00:00:00"}
