{"id":"https://openalex.org/W7153012171","doi":"https://doi.org/10.48550/arxiv.2604.07914","title":"Mitigating Entangled Steering in Large Vision-Language Models for Hallucination Reduction","display_name":"Mitigating Entangled Steering in Large Vision-Language Models for Hallucination Reduction","publication_year":2026,"publication_date":"2026-04-09","ids":{"openalex":"https://openalex.org/W7153012171","doi":"https://doi.org/10.48550/arxiv.2604.07914"},"language":null,"primary_location":{"id":"doi:10.48550/arxiv.2604.07914","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2604.07914","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":"Preprint"},"type":"preprint","indexed_in":["datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://doi.org/10.48550/arxiv.2604.07914","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5133371213","display_name":"Yuanhong Zhang","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Zhang, Yuanhong","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5133360414","display_name":"Zhaoyang Wang","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Wang, Zhaoyang","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5133383603","display_name":"Xin Zhang","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Zhang, Xin","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5028268587","display_name":"Weizhan Zhang","orcid":"https://orcid.org/0000-0003-0330-5435"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Zhang, Weizhan","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5133330808","display_name":"Joey Tianyi Zhou","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Zhou, Joey Tianyi","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/T13397","display_name":"Hallucinations in medical conditions","score":0.09239999949932098,"subfield":{"id":"https://openalex.org/subfields/2805","display_name":"Cognitive Neuroscience"},"field":{"id":"https://openalex.org/fields/28","display_name":"Neuroscience"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},"topics":[{"id":"https://openalex.org/T13397","display_name":"Hallucinations in medical conditions","score":0.09239999949932098,"subfield":{"id":"https://openalex.org/subfields/2805","display_name":"Cognitive Neuroscience"},"field":{"id":"https://openalex.org/fields/28","display_name":"Neuroscience"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},{"id":"https://openalex.org/T11689","display_name":"Adversarial Robustness in Machine Learning","score":0.0869000032544136,"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/T12553","display_name":"Psychedelics and Drug Studies","score":0.051899999380111694,"subfield":{"id":"https://openalex.org/subfields/3203","display_name":"Clinical Psychology"},"field":{"id":"https://openalex.org/fields/32","display_name":"Psychology"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/discriminative-model","display_name":"Discriminative model","score":0.6693000197410583},{"id":"https://openalex.org/keywords/reduction","display_name":"Reduction (mathematics)","score":0.5292999744415283},{"id":"https://openalex.org/keywords/security-token","display_name":"Security token","score":0.46779999136924744},{"id":"https://openalex.org/keywords/generative-grammar","display_name":"Generative grammar","score":0.38519999384880066},{"id":"https://openalex.org/keywords/visual-hallucination","display_name":"Visual Hallucination","score":0.3813000023365021},{"id":"https://openalex.org/keywords/generative-model","display_name":"Generative model","score":0.36010000109672546},{"id":"https://openalex.org/keywords/inference","display_name":"Inference","score":0.32989999651908875}],"concepts":[{"id":"https://openalex.org/C97931131","wikidata":"https://www.wikidata.org/wiki/Q5282087","display_name":"Discriminative model","level":2,"score":0.6693000197410583},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6421999931335449},{"id":"https://openalex.org/C111335779","wikidata":"https://www.wikidata.org/wiki/Q3454686","display_name":"Reduction (mathematics)","level":2,"score":0.5292999744415283},{"id":"https://openalex.org/C48145219","wikidata":"https://www.wikidata.org/wiki/Q1335365","display_name":"Security token","level":2,"score":0.46779999136924744},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4611999988555908},{"id":"https://openalex.org/C39890363","wikidata":"https://www.wikidata.org/wiki/Q36108","display_name":"Generative grammar","level":2,"score":0.38519999384880066},{"id":"https://openalex.org/C2908998935","wikidata":"https://www.wikidata.org/wiki/Q130741","display_name":"Visual Hallucination","level":2,"score":0.3813000023365021},{"id":"https://openalex.org/C167966045","wikidata":"https://www.wikidata.org/wiki/Q5532625","display_name":"Generative model","level":3,"score":0.36010000109672546},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.32989999651908875},{"id":"https://openalex.org/C2778572836","wikidata":"https://www.wikidata.org/wiki/Q380933","display_name":"Space (punctuation)","level":2,"score":0.3125999867916107},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.29179999232292175},{"id":"https://openalex.org/C2780665704","wikidata":"https://www.wikidata.org/wiki/Q959298","display_name":"Intervention (counseling)","level":2,"score":0.2793000042438507},{"id":"https://openalex.org/C12713177","wikidata":"https://www.wikidata.org/wiki/Q1900281","display_name":"Perspective (graphical)","level":2,"score":0.27549999952316284},{"id":"https://openalex.org/C70518039","wikidata":"https://www.wikidata.org/wiki/Q16000077","display_name":"Dimensionality reduction","level":2,"score":0.27489998936653137},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.2639999985694885},{"id":"https://openalex.org/C207363949","wikidata":"https://www.wikidata.org/wiki/Q462915","display_name":"Visual space","level":3,"score":0.26010000705718994},{"id":"https://openalex.org/C36464697","wikidata":"https://www.wikidata.org/wiki/Q451553","display_name":"Visualization","level":2,"score":0.2574000060558319},{"id":"https://openalex.org/C137293760","wikidata":"https://www.wikidata.org/wiki/Q3621696","display_name":"Language model","level":2,"score":0.2551000118255615}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.48550/arxiv.2604.07914","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2604.07914","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":"Preprint"}],"best_oa_location":{"id":"doi:10.48550/arxiv.2604.07914","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2604.07914","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":"Preprint"},"sustainable_development_goals":[{"score":0.7240892052650452,"id":"https://metadata.un.org/sdg/10","display_name":"Reduced inequalities"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"Large":[0],"Vision-Language":[1],"Models":[2],"(LVLMs)":[3],"have":[4],"achieved":[5],"remarkable":[6],"success":[7],"across":[8,108,128],"cross-modal":[9],"tasks":[10],"but":[11,27],"remain":[12],"hindered":[13],"by":[14],"hallucinations,":[15],"producing":[16],"textual":[17],"outputs":[18,35],"inconsistent":[19],"with":[20],"visual":[21],"content.":[22],"Existing":[23],"methods":[24,127],"mitigate":[25],"hallucinations":[26,58,119],"often":[28],"alter":[29],"generation":[30,64,104,123],"behavior,":[31,124],"resulting":[32],"in":[33,41],"shorter":[34],"and":[36,79,111],"shifted":[37],"token":[38,96],"distributions,":[39],"especially":[40],"latent":[42,81],"space":[43],"steering":[44,54],"approaches.":[45],"We":[46],"identify":[47],"that":[48,76,115],"this":[49],"issue":[50],"stems":[51],"from":[52],"entangled":[53],"signals,":[55],"where":[56],"suppressing":[57],"inadvertently":[59],"disrupts":[60],"the":[61,93],"model's":[62,94],"intrinsic":[63],"behavior.":[65,105],"To":[66],"address":[67],"this,":[68],"we":[69],"propose":[70],"MESA,":[71],"an":[72],"effective":[73,99],"plug-and-play":[74],"framework":[75],"performs":[77],"controlled":[78],"selective":[80],"intervention":[82],"for":[83],"hallucination":[84,100],"mitigation.":[85],"Specifically,":[86],"MESA":[87,116],"targets":[88],"hallucination-relevant":[89],"responses":[90],"while":[91,120],"preserving":[92,122],"original":[95],"distribution,":[97],"enabling":[98],"reduction":[101],"without":[102],"compromising":[103],"Extensive":[106],"experiments":[107],"diverse":[109],"generative":[110],"discriminative":[112],"benchmarks":[113],"demonstrate":[114],"consistently":[117],"reduces":[118],"better":[121],"outperforming":[125],"prior":[126],"multiple":[129],"LVLM":[130],"families.":[131]},"counts_by_year":[],"updated_date":"2026-07-01T06:00:48.157686","created_date":"2026-04-11T00:00:00"}
