{"id":"https://openalex.org/W7128686250","doi":"https://doi.org/10.48550/arxiv.2602.10799","title":"RSHallu: Dual-Mode Hallucination Evaluation for Remote-Sensing Multimodal Large Language Models with Domain-Tailored Mitigation","display_name":"RSHallu: Dual-Mode Hallucination Evaluation for Remote-Sensing Multimodal Large Language Models with Domain-Tailored Mitigation","publication_year":2026,"publication_date":"2026-02-11","ids":{"openalex":"https://openalex.org/W7128686250","doi":"https://doi.org/10.48550/arxiv.2602.10799"},"language":null,"primary_location":{"id":"pmh:doi:10.48550/arxiv.2602.10799","is_oa":true,"landing_page_url":null,"pdf_url":null,"source":{"id":"https://openalex.org/S4406922384","display_name":"Open MIND","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"publisher-specific-oa","license_id":"https://openalex.org/licenses/publisher-specific-oa","version":"submittedVersion","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":null,"any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5113719513","display_name":"Zihui Zhou","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Zhou, Zihui","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5125685278","display_name":"Yong Feng","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Feng, Yong","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5041192765","display_name":"Yanying Chen","orcid":"https://orcid.org/0000-0001-5034-5312"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Chen, Yanying","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5125728602","display_name":"Guofan Duan","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Duan, Guofan","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5125684834","display_name":"Zhenxi Song","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Song, Zhenxi","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5125757946","display_name":"Mingliang Zhou","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Zhou, Mingliang","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5109574954","display_name":"Weijia Jia","orcid":"https://orcid.org/0000-0001-5628-6237"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Jia, Weijia","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":0.9057000279426575,"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":0.9057000279426575,"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/T10036","display_name":"Advanced Neural Network Applications","score":0.0142000000923872,"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":0.01119999960064888,"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/benchmark","display_name":"Benchmark (surveying)","score":0.47679999470710754},{"id":"https://openalex.org/keywords/cloud-computing","display_name":"Cloud computing","score":0.3953999876976013},{"id":"https://openalex.org/keywords/language-model","display_name":"Language model","score":0.39399999380111694},{"id":"https://openalex.org/keywords/software-deployment","display_name":"Software deployment","score":0.3068000078201294},{"id":"https://openalex.org/keywords/key","display_name":"Key (lock)","score":0.30559998750686646},{"id":"https://openalex.org/keywords/code","display_name":"Code (set theory)","score":0.2930999994277954},{"id":"https://openalex.org/keywords/crowdsourcing","display_name":"Crowdsourcing","score":0.27709999680519104}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7820000052452087},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.47679999470710754},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4763999879360199},{"id":"https://openalex.org/C79974875","wikidata":"https://www.wikidata.org/wiki/Q483639","display_name":"Cloud computing","level":2,"score":0.3953999876976013},{"id":"https://openalex.org/C137293760","wikidata":"https://www.wikidata.org/wiki/Q3621696","display_name":"Language model","level":2,"score":0.39399999380111694},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.37389999628067017},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.36959999799728394},{"id":"https://openalex.org/C105339364","wikidata":"https://www.wikidata.org/wiki/Q2297740","display_name":"Software deployment","level":2,"score":0.3068000078201294},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.30559998750686646},{"id":"https://openalex.org/C2776760102","wikidata":"https://www.wikidata.org/wiki/Q5139990","display_name":"Code (set theory)","level":3,"score":0.2930999994277954},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.287200003862381},{"id":"https://openalex.org/C62230096","wikidata":"https://www.wikidata.org/wiki/Q275969","display_name":"Crowdsourcing","level":2,"score":0.27709999680519104},{"id":"https://openalex.org/C12725497","wikidata":"https://www.wikidata.org/wiki/Q810247","display_name":"Baseline (sea)","level":2,"score":0.266400009393692},{"id":"https://openalex.org/C199521495","wikidata":"https://www.wikidata.org/wiki/Q181487","display_name":"Audit","level":2,"score":0.25949999690055847},{"id":"https://openalex.org/C131979681","wikidata":"https://www.wikidata.org/wiki/Q1899648","display_name":"Point cloud","level":2,"score":0.2533000111579895},{"id":"https://openalex.org/C146849305","wikidata":"https://www.wikidata.org/wiki/Q370766","display_name":"Ground truth","level":2,"score":0.25290000438690186},{"id":"https://openalex.org/C58642233","wikidata":"https://www.wikidata.org/wiki/Q8269924","display_name":"Taxonomy (biology)","level":2,"score":0.25270000100135803},{"id":"https://openalex.org/C2777904410","wikidata":"https://www.wikidata.org/wiki/Q7397","display_name":"Software","level":2,"score":0.25209999084472656},{"id":"https://openalex.org/C110251889","wikidata":"https://www.wikidata.org/wiki/Q1569697","display_name":"Model checking","level":2,"score":0.2502000033855438}],"mesh":[],"locations_count":2,"locations":[{"id":"pmh:doi:10.48550/arxiv.2602.10799","is_oa":true,"landing_page_url":null,"pdf_url":null,"source":{"id":"https://openalex.org/S4406922384","display_name":"Open MIND","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"publisher-specific-oa","license_id":"https://openalex.org/licenses/publisher-specific-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Article"},{"id":"doi:10.48550/arxiv.2602.10799","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2602.10799","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":"pmh:doi:10.48550/arxiv.2602.10799","is_oa":true,"landing_page_url":null,"pdf_url":null,"source":{"id":"https://openalex.org/S4406922384","display_name":"Open MIND","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"publisher-specific-oa","license_id":"https://openalex.org/licenses/publisher-specific-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Article"},"sustainable_development_goals":[{"score":0.5824691653251648,"id":"https://metadata.un.org/sdg/2","display_name":"Zero hunger"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"Multimodal":[0],"large":[1],"language":[2],"models":[3],"(MLLMs)":[4],"are":[5,36],"increasingly":[6],"adopted":[7],"in":[8,48,60],"remote":[9],"sensing":[10],"(RS)":[11],"and":[12,30,54,57,83,97,110,118,134,148,158,190],"have":[13],"shown":[14],"strong":[15],"performance":[16,183],"on":[17,128,184],"tasks":[18,187],"such":[19],"as":[20],"RS":[21,25,42,77,186],"visual":[22,26],"grounding":[23],"(RSVG),":[24],"question":[27],"answering":[28],"(RSVQA),":[29],"multimodal":[31],"dialogue.":[32],"However,":[33],"hallucinations,":[34],"which":[35],"responses":[37],"inconsistent":[38],"with":[39,71,79],"the":[40,167],"input":[41],"images,":[43],"severely":[44],"hinder":[45],"their":[46],"deployment":[47],"high-stakes":[49],"scenarios":[50],"(e.g.,":[51,94],"emergency":[52],"management":[53],"agricultural":[55],"monitoring)":[56],"remain":[58],"under-explored":[59],"RS.":[61],"In":[62],"this":[63],"work,":[64],"we":[65,75,101,136],"present":[66],"RSHallu,":[67],"a":[68,103,124,138,177],"systematic":[69],"study":[70],"three":[72],"deliverables:":[73],"(1)":[74],"formalize":[76],"hallucinations":[78],"an":[80],"RS-oriented":[81],"taxonomy":[82],"introduce":[84,137],"image-level":[85],"hallucination":[86,104],"to":[87,172],"capture":[88],"RS-specific":[89],"inconsistencies":[90],"beyond":[91],"object-centric":[92],"errors":[93],"modality,":[95],"resolution,":[96],"scene-level":[98],"semantics);":[99],"(2)":[100],"build":[102],"benchmark":[105],"RSHalluEval":[106],"(2,023":[107],"QA":[108,132,143],"pairs)":[109,144],"enable":[111],"dual-mode":[112],"checking,":[113],"supporting":[114],"high-precision":[115],"cloud":[116],"auditing":[117],"low-cost":[119],"reproducible":[120],"local":[121],"checking":[122],"via":[123],"compact":[125],"checker":[126],"fine-tuned":[127],"RSHalluCheck":[129],"dataset":[130,140],"(15,396":[131],"pairs);":[133],"(3)":[135],"domain-tailored":[139],"RSHalluShield":[141],"(30k":[142],"for":[145],"training-friendly":[146],"mitigation":[147,165],"further":[149],"propose":[150],"training-free":[151],"plug-and-play":[152],"strategies,":[153],"including":[154],"decoding-time":[155],"logit":[156],"correction":[157],"RS-aware":[159],"prompting.":[160],"Across":[161],"representative":[162],"RS-MLLMs,":[163],"our":[164],"improves":[166],"hallucination-free":[168],"rate":[169],"by":[170],"up":[171],"21.63":[173],"percentage":[174],"points":[175],"under":[176],"unified":[178],"protocol,":[179],"while":[180],"maintaining":[181],"competitive":[182],"downstream":[185],"(RSVQA/RSVG).":[188],"Code":[189],"datasets":[191],"will":[192],"be":[193],"released.":[194]},"counts_by_year":[],"updated_date":"2026-07-01T06:00:48.157686","created_date":"2026-02-13T00:00:00"}