{"id":"https://openalex.org/W7147719566","doi":"https://doi.org/10.48550/arxiv.2603.28583","title":"Navigating the Mirage: A Dual-Path Agentic Framework for Robust Misleading Chart Question Answering","display_name":"Navigating the Mirage: A Dual-Path Agentic Framework for Robust Misleading Chart Question Answering","publication_year":2026,"publication_date":"2026-03-30","ids":{"openalex":"https://openalex.org/W7147719566","doi":"https://doi.org/10.48550/arxiv.2603.28583"},"language":null,"primary_location":{"id":"doi:10.48550/arxiv.2603.28583","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2603.28583","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.2603.28583","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5029292574","display_name":"Yanjie Zhang","orcid":"https://orcid.org/0000-0001-9391-1417"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Zhang, Yanjie","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5132717536","display_name":"Yafei Li","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Li, Yafei","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100666074","display_name":"Rui Sheng","orcid":"https://orcid.org/0000-0002-7418-2850"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Sheng, Rui","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5132570272","display_name":"Zixin Chen","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Chen, Zixin","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5023888935","display_name":"Yanna Lin","orcid":"https://orcid.org/0000-0003-3730-0827"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Lin, Yanna","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5132719917","display_name":"Huamin Qu","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Qu, Huamin","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5132548074","display_name":"Lei Chen","orcid":"https://orcid.org/0000-0002-7822-435X"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Chen, Lei","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5075617827","display_name":"Yushi Sun","orcid":"https://orcid.org/0000-0003-3853-6364"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Sun, Yushi","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":0.6535999774932861,"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":0.6535999774932861,"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/T11689","display_name":"Adversarial Robustness in Machine Learning","score":0.12600000202655792,"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":0.10300000011920929,"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/question-answering","display_name":"Question answering","score":0.6409000158309937},{"id":"https://openalex.org/keywords/chart","display_name":"Chart","score":0.5965999960899353},{"id":"https://openalex.org/keywords/workflow","display_name":"Workflow","score":0.5852000117301941},{"id":"https://openalex.org/keywords/deception","display_name":"Deception","score":0.5404000282287598},{"id":"https://openalex.org/keywords/path","display_name":"Path (computing)","score":0.5300999879837036},{"id":"https://openalex.org/keywords/pipeline","display_name":"Pipeline (software)","score":0.46549999713897705},{"id":"https://openalex.org/keywords/visual-reasoning","display_name":"Visual reasoning","score":0.42879998683929443},{"id":"https://openalex.org/keywords/perception","display_name":"Perception","score":0.4284000098705292},{"id":"https://openalex.org/keywords/adversarial-system","display_name":"Adversarial system","score":0.42250001430511475}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.741599977016449},{"id":"https://openalex.org/C44291984","wikidata":"https://www.wikidata.org/wiki/Q1074173","display_name":"Question answering","level":2,"score":0.6409000158309937},{"id":"https://openalex.org/C190812933","wikidata":"https://www.wikidata.org/wiki/Q28923","display_name":"Chart","level":2,"score":0.5965999960899353},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5964999794960022},{"id":"https://openalex.org/C177212765","wikidata":"https://www.wikidata.org/wiki/Q627335","display_name":"Workflow","level":2,"score":0.5852000117301941},{"id":"https://openalex.org/C2779267917","wikidata":"https://www.wikidata.org/wiki/Q170028","display_name":"Deception","level":2,"score":0.5404000282287598},{"id":"https://openalex.org/C2777735758","wikidata":"https://www.wikidata.org/wiki/Q817765","display_name":"Path (computing)","level":2,"score":0.5300999879837036},{"id":"https://openalex.org/C43521106","wikidata":"https://www.wikidata.org/wiki/Q2165493","display_name":"Pipeline (software)","level":2,"score":0.46549999713897705},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.45500001311302185},{"id":"https://openalex.org/C2777508537","wikidata":"https://www.wikidata.org/wiki/Q7936620","display_name":"Visual reasoning","level":2,"score":0.42879998683929443},{"id":"https://openalex.org/C26760741","wikidata":"https://www.wikidata.org/wiki/Q160402","display_name":"Perception","level":2,"score":0.4284000098705292},{"id":"https://openalex.org/C37736160","wikidata":"https://www.wikidata.org/wiki/Q1801315","display_name":"Adversarial system","level":2,"score":0.42250001430511475},{"id":"https://openalex.org/C155911833","wikidata":"https://www.wikidata.org/wiki/Q3817354","display_name":"Spatial intelligence","level":2,"score":0.33469998836517334},{"id":"https://openalex.org/C153701036","wikidata":"https://www.wikidata.org/wiki/Q659974","display_name":"Trustworthiness","level":2,"score":0.33410000801086426},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.31349998712539673},{"id":"https://openalex.org/C160920958","wikidata":"https://www.wikidata.org/wiki/Q7662746","display_name":"Synthetic data","level":2,"score":0.31310001015663147},{"id":"https://openalex.org/C33954974","wikidata":"https://www.wikidata.org/wiki/Q486494","display_name":"Sensor fusion","level":2,"score":0.31299999356269836},{"id":"https://openalex.org/C107457646","wikidata":"https://www.wikidata.org/wiki/Q207434","display_name":"Human\u2013computer interaction","level":1,"score":0.3073999881744385},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.30300000309944153},{"id":"https://openalex.org/C774472","wikidata":"https://www.wikidata.org/wiki/Q6760393","display_name":"Margin (machine learning)","level":2,"score":0.2996000051498413},{"id":"https://openalex.org/C28076734","wikidata":"https://www.wikidata.org/wiki/Q63087","display_name":"Coreference","level":3,"score":0.2973000109195709},{"id":"https://openalex.org/C36464697","wikidata":"https://www.wikidata.org/wiki/Q451553","display_name":"Visualization","level":2,"score":0.2937000095844269},{"id":"https://openalex.org/C2780966255","wikidata":"https://www.wikidata.org/wiki/Q5474306","display_name":"Foundation (evidence)","level":2,"score":0.2896000146865845},{"id":"https://openalex.org/C165696696","wikidata":"https://www.wikidata.org/wiki/Q11287","display_name":"Exploit","level":2,"score":0.2867000102996826},{"id":"https://openalex.org/C2776240099","wikidata":"https://www.wikidata.org/wiki/Q327018","display_name":"Interrogation","level":2,"score":0.2702000141143799},{"id":"https://openalex.org/C12725497","wikidata":"https://www.wikidata.org/wiki/Q810247","display_name":"Baseline (sea)","level":2,"score":0.2653000056743622},{"id":"https://openalex.org/C2780297707","wikidata":"https://www.wikidata.org/wiki/Q4895393","display_name":"Landmark","level":2,"score":0.25699999928474426},{"id":"https://openalex.org/C129916263","wikidata":"https://www.wikidata.org/wiki/Q1141183","display_name":"Backward chaining","level":4,"score":0.2554999887943268},{"id":"https://openalex.org/C94124525","wikidata":"https://www.wikidata.org/wiki/Q912550","display_name":"Categorization","level":2,"score":0.2524999976158142},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.25200000405311584}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.48550/arxiv.2603.28583","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2603.28583","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.2603.28583","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2603.28583","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":0.7480440139770508,"id":"https://metadata.un.org/sdg/16","display_name":"Peace, Justice and strong institutions"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"Despite":[0],"the":[1,125],"success":[2],"of":[3,122],"Vision-Language":[4],"Models":[5],"(VLMs),":[6],"misleading":[7],"charts":[8],"remain":[9],"a":[10,36,48,81,147],"significant":[11],"challenge":[12],"due":[13],"to":[14,31],"their":[15],"deceptive":[16],"visual":[17,33,99],"structures":[18],"and":[19,89,101,114],"distorted":[20],"data":[21],"representations.":[22],"We":[23],"present":[24],"ChartCynics,":[25],"an":[26,63,76,118],"agentic":[27,137],"dual-path":[28],"framework":[29],"designed":[30],"unmask":[32],"deception":[34],"via":[35,80],"\"skeptical\"":[37],"reasoning":[38,87],"paradigm.":[39],"Unlike":[40],"holistic":[41],"models,":[42],"ChartCynics":[43,111],"decouples":[44],"perception":[45],"from":[46],"verification:":[47],"Diagnostic":[49],"Vision":[50],"Path":[51,66],"captures":[52],"structural":[53],"anomalies":[54],"(e.g.,":[55],"inverted":[56],"axes)":[57],"through":[58],"strategic":[59],"ROI":[60],"cropping,":[61],"while":[62],"OCR-Driven":[64],"Data":[65],"ensures":[67],"numerical":[68],"grounding.":[69],"To":[70],"resolve":[71],"cross-modal":[72],"conflicts,":[73],"we":[74],"introduce":[75],"Agentic":[77],"Summarizer":[78],"optimized":[79],"two-stage":[82],"protocol:":[83],"Oracle-Informed":[84],"SFT":[85],"for":[86,92,150],"distillation":[88],"Deception-Aware":[90],"GRPO":[91],"adversarial":[93],"alignment.":[94],"This":[95],"pipeline":[96],"effectively":[97],"penalizes":[98],"traps":[100],"enforces":[102],"logical":[103],"consistency.":[104],"Evaluations":[105],"on":[106],"two":[107],"benchmarks":[108],"show":[109],"that":[110,135],"achieves":[112],"74.43%":[113],"64.55%":[115],"accuracy,":[116],"providing":[117],"absolute":[119],"performance":[120],"boost":[121],"~29%":[123],"over":[124],"Qwen3-VL-8B":[126],"backbone,":[127],"outperforming":[128],"state-of-the-art":[129],"proprietary":[130],"models.":[131],"Our":[132],"results":[133],"demonstrate":[134],"specialized":[136],"workflows":[138],"can":[139],"grant":[140],"smaller":[141],"open-source":[142],"models":[143],"superior":[144],"robustness,":[145],"establishing":[146],"new":[148],"foundation":[149],"trustworthy":[151],"chart":[152],"interpretation.":[153]},"counts_by_year":[],"updated_date":"2026-07-01T06:00:48.157686","created_date":"2026-04-02T00:00:00"}
