{"id":"https://openalex.org/W7164003128","doi":"https://doi.org/10.48550/arxiv.2606.08894","title":"Are Reasoning Vision-Language Models Robust to Semantic Visual Distractions?","display_name":"Are Reasoning Vision-Language Models Robust to Semantic Visual Distractions?","publication_year":2026,"publication_date":"2026-06-08","ids":{"openalex":"https://openalex.org/W7164003128","doi":"https://doi.org/10.48550/arxiv.2606.08894"},"language":null,"primary_location":{"id":"doi:10.48550/arxiv.2606.08894","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2606.08894","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.2606.08894","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5108114836","display_name":"Y. J. Sun","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Sun, Yizheng","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5137613386","display_name":"Mochuan Zhan","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Zhan, Mochuan","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5138260070","display_name":"Yanan Ma","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Ma, Yanan","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5138263380","display_name":"Jia Tong See","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"See, Jia Tong","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5138223218","display_name":"Yifan Wang","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Wang, Yifan","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5138238394","display_name":"Ziyi Wang","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Wang, Ziyi","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5138279087","display_name":"Hao Li","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Li, Hao","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5138254043","display_name":"Yang Cui","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Cui, Yang","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5138245884","display_name":"Wenhao Cai (3709966)","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Cai, Wenhao","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5001893205","display_name":"Jingyu Sun","orcid":"https://orcid.org/0000-0001-6014-4020"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Sun, Jingyu","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5138240272","display_name":"Chenghua Lin","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Lin, Chenghua","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5138264254","display_name":"Riza Batista-Navarro","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Batista-Navarro, Riza","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5138268698","display_name":"Jingyuan Sun","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Sun, Jingyuan","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":0.9775000214576721,"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":0.9775000214576721,"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/T12026","display_name":"Explainable Artificial Intelligence (XAI)","score":0.002400000113993883,"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/T10883","display_name":"Ethics and Social Impacts of AI","score":0.0020000000949949026,"subfield":{"id":"https://openalex.org/subfields/3311","display_name":"Safety Research"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.7073000073432922},{"id":"https://openalex.org/keywords/perception","display_name":"Perception","score":0.5060999989509583},{"id":"https://openalex.org/keywords/visual-reasoning","display_name":"Visual reasoning","score":0.46389999985694885},{"id":"https://openalex.org/keywords/inference","display_name":"Inference","score":0.4214000105857849},{"id":"https://openalex.org/keywords/visual-perception","display_name":"Visual perception","score":0.36570000648498535},{"id":"https://openalex.org/keywords/mistake","display_name":"Mistake","score":0.32589998841285706},{"id":"https://openalex.org/keywords/visual-objects","display_name":"Visual Objects","score":0.31769999861717224}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7294999957084656},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.7073000073432922},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6237999796867371},{"id":"https://openalex.org/C26760741","wikidata":"https://www.wikidata.org/wiki/Q160402","display_name":"Perception","level":2,"score":0.5060999989509583},{"id":"https://openalex.org/C2777508537","wikidata":"https://www.wikidata.org/wiki/Q7936620","display_name":"Visual reasoning","level":2,"score":0.46389999985694885},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.4214000105857849},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3741999864578247},{"id":"https://openalex.org/C178253425","wikidata":"https://www.wikidata.org/wiki/Q162668","display_name":"Visual perception","level":3,"score":0.36570000648498535},{"id":"https://openalex.org/C2777179996","wikidata":"https://www.wikidata.org/wiki/Q911222","display_name":"Mistake","level":2,"score":0.32589998841285706},{"id":"https://openalex.org/C2780103172","wikidata":"https://www.wikidata.org/wiki/Q1309721","display_name":"Visual Objects","level":3,"score":0.31769999861717224},{"id":"https://openalex.org/C111370547","wikidata":"https://www.wikidata.org/wiki/Q7451120","display_name":"Sensory cue","level":2,"score":0.30300000309944153},{"id":"https://openalex.org/C192209626","wikidata":"https://www.wikidata.org/wiki/Q190909","display_name":"Focus (optics)","level":2,"score":0.30239999294281006},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.2992999851703644},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.2865999937057495},{"id":"https://openalex.org/C184337299","wikidata":"https://www.wikidata.org/wiki/Q1437428","display_name":"Semantics (computer science)","level":2,"score":0.2741999924182892},{"id":"https://openalex.org/C43214815","wikidata":"https://www.wikidata.org/wiki/Q7310987","display_name":"Reliability (semiconductor)","level":3,"score":0.26600000262260437},{"id":"https://openalex.org/C152124472","wikidata":"https://www.wikidata.org/wiki/Q1204361","display_name":"Redundancy (engineering)","level":2,"score":0.2635999917984009},{"id":"https://openalex.org/C66024118","wikidata":"https://www.wikidata.org/wiki/Q1122506","display_name":"Computational model","level":2,"score":0.2524999976158142}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.48550/arxiv.2606.08894","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2606.08894","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.2606.08894","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2606.08894","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":[{"display_name":"Peace, Justice and strong institutions","score":0.8101827502250671,"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":{"Reasoning":[0],"Vision-Language":[1],"Models":[2],"(VLMs)":[3],"achieve":[4],"strong":[5],"performance":[6],"on":[7],"complex":[8],"multimodal":[9],"tasks,":[10],"but":[11,70,103,155],"reliable":[12,203],"real-world":[13,204],"application":[14],"requires":[15],"handling":[16],"visual":[17,46,98,105,205],"inputs":[18,109],"that":[19,134,166],"are":[20,176,211],"messier":[21],"than":[22],"clean,":[23],"curated":[24],"benchmarks.":[25],"Existing":[26],"works":[27],"mainly":[28],"evaluate":[29,117],"such":[30,37],"reliability":[31,55],"of":[32,174],"VLMs":[33,124,145],"through":[34],"input":[35],"corruptions,":[36],"as":[38,101,178],"noise,":[39],"blur":[40],"and":[41,72,75,121,129,180,209],"weather":[42],"effects,":[43],"which":[44],"make":[45],"evidence":[47,64,74],"harder":[48],"to":[49,79,96,108,160,182,200],"perceive.":[50],"This":[51],"leaves":[52],"a":[53,59,90,137],"critical":[54],"failure":[56,139],"mode":[57],"underexplored:":[58],"model":[60],"may":[61],"perceive":[62],"the":[63,112,171,195],"correctly,":[65],"yet":[66],"reason":[67],"from":[68,141,197],"plausible":[69],"irrelevant":[71],"distracting":[73],"propagate":[76],"this":[77,85],"mistake":[78],"its":[80],"final":[81],"answer.":[82,114],"To":[83],"address":[84],"gap,":[86],"we":[87],"introduce":[88],"\\textbf{Distract-Bench},":[89],"benchmark":[91],"for":[92,191,202],"evaluating":[93],"VLM":[94],"robustness":[95,138,159,189],"\\textbf{semantic":[97],"distractions},":[99],"defined":[100],"meaningful":[102],"task-irrelevant":[104],"cues":[106],"added":[107],"while":[110],"preserving":[111],"ground-truth":[113],"We":[115],"comprehensively":[116],"eight":[118],"leading":[119],"open-source":[120],"two":[122],"closed-source":[123],"across":[125],"conventional":[126],"vision":[127,142],"corruptions":[128],"Distract-Bench.":[130],"Our":[131,207],"results":[132],"show":[133,156],"Distract-Bench":[135],"exposes":[136],"distinct":[140],"corruptions:":[143],"reasoning":[144,172,192],"largely":[146],"track":[147],"their":[148],"non-reasoning":[149],"base":[150],"models":[151],"under":[152],"perceptual":[153],"degradation,":[154],"consistently":[157],"lower":[158],"semantic":[161],"distractions.":[162],"Further":[163],"analysis":[164],"shows":[165],"these":[167,186],"distractions":[168,201],"often":[169],"enter":[170],"process":[173],"VLMs,":[175,193],"treated":[177],"evidence,":[179],"lead":[181],"incorrect":[183],"answers.":[184],"Together,":[185],"findings":[187],"reframe":[188],"evaluation":[190],"shifting":[194],"focus":[196],"degraded":[198],"perception":[199],"reasoning.":[206],"data":[208],"code":[210],"available":[212],"at":[213],"https://github.com/Yizheng-Sun/Distract-Bench.":[214]},"counts_by_year":[],"updated_date":"2026-07-01T06:00:48.157686","created_date":"2026-06-10T00:00:00"}