{"id":"https://openalex.org/W7164343917","doi":"https://doi.org/10.48550/arxiv.2606.11576","title":"AVIS: Adaptive Test-Time Scaling for Vision-Language Models","display_name":"AVIS: Adaptive Test-Time Scaling for Vision-Language Models","publication_year":2026,"publication_date":"2026-06-10","ids":{"openalex":"https://openalex.org/W7164343917","doi":"https://doi.org/10.48550/arxiv.2606.11576"},"language":null,"primary_location":{"id":"doi:10.48550/arxiv.2606.11576","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2606.11576","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":null,"license_id":null,"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.2606.11576","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5061732512","display_name":"Ahmadreza Jeddi","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Jeddi, Ahmadreza","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5138455827","display_name":"Minh Ngoc Le","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Le, Minh Ngoc","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5037774043","display_name":"Amirhossein Kazerouni","orcid":"https://orcid.org/0000-0002-3155-4407"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Kazerouni, Amirhossein","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5027040028","display_name":"Hakk\u0131 Can Karaimer","orcid":"https://orcid.org/0000-0002-0769-6376"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Karaimer, Hakki Can","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5138407202","display_name":"Hue Nguyen","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Nguyen, Hue","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5138450763","display_name":"Iqbal Mohomed","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Mohomed, Iqbal","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5012113499","display_name":"Michael Brudno","orcid":"https://orcid.org/0000-0001-7947-2243"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Brudno, Michael","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5029007864","display_name":"Alex Levinshtein","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Levinshtein, Alex","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5136231096","display_name":"Konstantinos G. Derpanis","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Derpanis, Konstantinos G.","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5138430101","display_name":"Babak Taati","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Taati, Babak","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5113660863","display_name":"Radek Grzeszczuk","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Grzeszczuk, Radek","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":0.9837999939918518,"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":0.9837999939918518,"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":0.003800000064074993,"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/T12026","display_name":"Explainable Artificial Intelligence (XAI)","score":0.0017999999690800905,"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/inference","display_name":"Inference","score":0.6265000104904175},{"id":"https://openalex.org/keywords/scaling","display_name":"Scaling","score":0.5891000032424927},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.5742999911308289},{"id":"https://openalex.org/keywords/latency","display_name":"Latency (audio)","score":0.5347999930381775},{"id":"https://openalex.org/keywords/visual-reasoning","display_name":"Visual reasoning","score":0.5058000087738037},{"id":"https://openalex.org/keywords/key","display_name":"Key (lock)","score":0.4683000147342682},{"id":"https://openalex.org/keywords/visual-search","display_name":"Visual search","score":0.447299987077713}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6973999738693237},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.6265000104904175},{"id":"https://openalex.org/C99844830","wikidata":"https://www.wikidata.org/wiki/Q102441924","display_name":"Scaling","level":2,"score":0.5891000032424927},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.5742999911308289},{"id":"https://openalex.org/C82876162","wikidata":"https://www.wikidata.org/wiki/Q17096504","display_name":"Latency (audio)","level":2,"score":0.5347999930381775},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5131999850273132},{"id":"https://openalex.org/C2777508537","wikidata":"https://www.wikidata.org/wiki/Q7936620","display_name":"Visual reasoning","level":2,"score":0.5058000087738037},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.4683000147342682},{"id":"https://openalex.org/C158495155","wikidata":"https://www.wikidata.org/wiki/Q2369151","display_name":"Visual search","level":2,"score":0.447299987077713},{"id":"https://openalex.org/C206588197","wikidata":"https://www.wikidata.org/wiki/Q846574","display_name":"Reuse","level":2,"score":0.4205000102519989},{"id":"https://openalex.org/C57273362","wikidata":"https://www.wikidata.org/wiki/Q576722","display_name":"Decoding methods","level":2,"score":0.3953000009059906},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3086000084877014},{"id":"https://openalex.org/C112313634","wikidata":"https://www.wikidata.org/wiki/Q7886648","display_name":"Complement (music)","level":5,"score":0.3084000051021576},{"id":"https://openalex.org/C125411270","wikidata":"https://www.wikidata.org/wiki/Q18653","display_name":"Encoding (memory)","level":2,"score":0.3075000047683716},{"id":"https://openalex.org/C160086991","wikidata":"https://www.wikidata.org/wiki/Q5939193","display_name":"Human visual system model","level":3,"score":0.3041999936103821},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.28929999470710754},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.2549000084400177},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.2515000104904175}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.48550/arxiv.2606.11576","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2606.11576","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":null,"license_id":null,"version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"Preprint"}],"best_oa_location":{"id":"doi:10.48550/arxiv.2606.11576","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2606.11576","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":null,"license_id":null,"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":{"Modern":[0],"Vision-Language":[1],"Models":[2],"(VLMs)":[3],"benefit":[4],"from":[5],"chain-of-thought":[6],"prompting":[7],"and":[8,25,53,100,125,146,159,165,177,180,192],"test-time":[9],"scaling,":[10],"but":[11],"these":[12,83],"gains":[13],"often":[14],"come":[15],"with":[16,148],"prohibitive":[17],"inference":[18],"cost":[19,32],"due":[20],"to":[21,49,136,175],"large":[22],"visual":[23,45,121],"contexts":[24],"long":[26],"decoding":[27],"chains.":[28],"We":[29,86],"view":[30],"this":[31],"through":[33,107,128],"two":[34],"coupled":[35],"axes:":[36],"Visual":[37,54,89,110],"Context":[38],"Scaling":[39,56,91],"(VCS),":[40],"which":[41,58],"controls":[42,59],"how":[43,60],"much":[44,61],"evidence":[46],"is":[47,65,144],"passed":[48],"the":[50,77,138,171],"language":[51],"model,":[52],"Reasoning":[55],"(VRS),":[57],"inference-time":[62],"reasoning":[63,141,167],"search":[64],"performed.":[66],"Existing":[67],"methods":[68],"typically":[69],"optimize":[70],"one":[71],"axis":[72],"at":[73],"a":[74,93,113,132,155],"time,":[75],"leaving":[76],"joint":[78],"allocation":[79],"of":[80,140,185],"compute":[81,191],"across":[82],"axes":[84],"underexplored.":[85],"introduce":[87],"Adaptive":[88],"Inference":[90],"(AVIS),":[92],"lightweight":[94],"policy":[95],"that":[96],"adapts":[97],"both":[98],"VCS":[99,106],"VRS":[101,127],"per":[102],"query.":[103],"AVIS":[104,143,169],"realizes":[105,126],"Key":[108],"Diversity":[109],"(KDV)":[111],"pruning,":[112],"training-free":[114],"$O(N)$":[115],"key-based":[116],"rule":[117],"for":[118],"removing":[119],"redundant":[120],"tokens":[122],"before":[123],"prefilling,":[124],"adaptive":[129],"self-consistency,":[130],"using":[131],"learned":[133],"difficulty":[134],"predictor":[135],"select":[137],"number":[139],"rollouts.":[142],"deployment-friendly":[145],"compatible":[147],"shared-prefill":[149],"inference,":[150],"where":[151],"all":[152],"rollouts":[153],"reuse":[154],"single":[156],"prefilling":[157],"pass":[158],"KV":[160],"cache.":[161],"Across":[162],"diverse":[163],"image":[164],"video":[166],"benchmarks,":[168],"improves":[170],"accuracy--compute":[172],"trade-off":[173],"relative":[174],"VCS-only":[176],"VRS-only":[178],"baselines,":[179],"remains":[181],"effective":[182],"on":[183],"top":[184],"RL":[186],"post-trained":[187],"VLMs":[188],"while":[189],"keeping":[190],"latency":[193],"low.":[194]},"counts_by_year":[],"updated_date":"2026-07-28T07:46:37.118299","created_date":"2026-06-12T00:00:00"}