{"id":"https://openalex.org/W7160645522","doi":"https://doi.org/10.48550/arxiv.2605.05955","title":"TableVista: Benchmarking Multimodal Table Reasoning under Visual and Structural Complexity","display_name":"TableVista: Benchmarking Multimodal Table Reasoning under Visual and Structural Complexity","publication_year":2026,"publication_date":"2026-05-07","ids":{"openalex":"https://openalex.org/W7160645522","doi":"https://doi.org/10.48550/arxiv.2605.05955"},"language":null,"primary_location":{"id":"doi:10.48550/arxiv.2605.05955","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2605.05955","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.2605.05955","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5135723864","display_name":"Zheyuan Yang","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Yang, Zheyuan","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5135658829","display_name":"Liqiang Shang","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Shang, Liqiang","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5135685316","display_name":"Junjie Chen","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Chen, Junjie","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5135700536","display_name":"Xun Yang","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Yang, Xun","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5135645505","display_name":"Chenglong Xu","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Xu, Chenglong","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5135670547","display_name":"Bo Yuan","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Yuan, Bo","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5135687606","display_name":"Chenyuan Jiao","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Jiao, Chenyuan","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102966948","display_name":"Yaoru Sun","orcid":"https://orcid.org/0000-0002-2179-0713"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Sun, Yaoru","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5135687813","display_name":"Yilun Zhao","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Zhao, Yilun","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":0.2840000092983246,"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":0.2840000092983246,"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/T10799","display_name":"Data Visualization and Analytics","score":0.2303999960422516,"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/T10789","display_name":"Interactive and Immersive Displays","score":0.07479999959468842,"subfield":{"id":"https://openalex.org/subfields/1709","display_name":"Human-Computer Interaction"},"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/benchmarking","display_name":"Benchmarking","score":0.6895999908447266},{"id":"https://openalex.org/keywords/rendering","display_name":"Rendering (computer graphics)","score":0.53329998254776},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.5164999961853027},{"id":"https://openalex.org/keywords/visual-reasoning","display_name":"Visual reasoning","score":0.46299999952316284},{"id":"https://openalex.org/keywords/table","display_name":"Table (database)","score":0.43779999017715454},{"id":"https://openalex.org/keywords/visualization","display_name":"Visualization","score":0.39899998903274536},{"id":"https://openalex.org/keywords/consistency","display_name":"Consistency (knowledge bases)","score":0.3862999975681305}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6938999891281128},{"id":"https://openalex.org/C86251818","wikidata":"https://www.wikidata.org/wiki/Q816754","display_name":"Benchmarking","level":2,"score":0.6895999908447266},{"id":"https://openalex.org/C205711294","wikidata":"https://www.wikidata.org/wiki/Q176953","display_name":"Rendering (computer graphics)","level":2,"score":0.53329998254776},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5169000029563904},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.5164999961853027},{"id":"https://openalex.org/C2777508537","wikidata":"https://www.wikidata.org/wiki/Q7936620","display_name":"Visual reasoning","level":2,"score":0.46299999952316284},{"id":"https://openalex.org/C45235069","wikidata":"https://www.wikidata.org/wiki/Q278425","display_name":"Table (database)","level":2,"score":0.43779999017715454},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4318000078201294},{"id":"https://openalex.org/C36464697","wikidata":"https://www.wikidata.org/wiki/Q451553","display_name":"Visualization","level":2,"score":0.39899998903274536},{"id":"https://openalex.org/C2776436953","wikidata":"https://www.wikidata.org/wiki/Q5163215","display_name":"Consistency (knowledge bases)","level":2,"score":0.3862999975681305},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.37459999322891235},{"id":"https://openalex.org/C509619924","wikidata":"https://www.wikidata.org/wiki/Q17130757","display_name":"Structural complexity","level":2,"score":0.3540000021457672},{"id":"https://openalex.org/C83725634","wikidata":"https://www.wikidata.org/wiki/Q7268699","display_name":"Qualitative reasoning","level":2,"score":0.30469998717308044},{"id":"https://openalex.org/C172367668","wikidata":"https://www.wikidata.org/wiki/Q6504956","display_name":"Data visualization","level":3,"score":0.27459999918937683},{"id":"https://openalex.org/C2778491795","wikidata":"https://www.wikidata.org/wiki/Q25109883","display_name":"Structural approach","level":3,"score":0.2639999985694885},{"id":"https://openalex.org/C88282795","wikidata":"https://www.wikidata.org/wiki/Q2448108","display_name":"Structural system","level":2,"score":0.2621999979019165},{"id":"https://openalex.org/C66024118","wikidata":"https://www.wikidata.org/wiki/Q1122506","display_name":"Computational model","level":2,"score":0.2596000134944916},{"id":"https://openalex.org/C166088908","wikidata":"https://www.wikidata.org/wiki/Q308495","display_name":"Abductive reasoning","level":2,"score":0.2517000138759613}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.48550/arxiv.2605.05955","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2605.05955","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.2605.05955","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2605.05955","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":{"We":[0,64],"introduce":[1],"TableVista,":[2],"a":[3,61],"comprehensive":[4,80],"benchmark":[5],"for":[6,60,138],"evaluating":[7],"foundation":[8,75],"models":[9,76,90,113],"in":[10,56,132],"multimodal":[11,58,134],"table":[12,24,144],"reasoning":[13,25,117],"under":[14],"visual":[15,35],"and":[16,41,52,73,82,107,142],"structural":[17,105,120],"complexity.":[18],"TableVista":[19],"consists":[20],"of":[21,69],"3,000":[22],"high-quality":[23],"problems,":[26],"where":[27],"each":[28],"instance":[29],"is":[30],"expanded":[31],"into":[32],"10":[33],"distinct":[34],"variants":[36],"through":[37],"our":[38],"multi-style":[39],"rendering":[40,96],"transformation":[42],"pipeline.":[43],"This":[44],"process":[45],"encompasses":[46],"diverse":[47,95],"scenario":[48],"styles,":[49,97],"robustness":[50],"perturbations,":[51],"vision-only":[53,108],"configurations,":[54],"culminating":[55],"30,000":[57],"samples":[59],"multi-dimensional":[62],"evaluation.":[63],"conduct":[65],"an":[66],"extensive":[67],"evaluation":[68],"29":[70],"state-of-the-art":[71],"open-source":[72],"proprietary":[74],"on":[77,103],"TableVista.":[78],"Through":[79],"quantitative":[81],"qualitative":[83],"analysis,":[84],"we":[85],"find":[86],"that":[87,111],"while":[88],"evaluated":[89],"remain":[91],"largely":[92],"stable":[93],"across":[94],"they":[98],"exhibit":[99],"pronounced":[100],"performance":[101],"degradation":[102],"complex":[104],"layouts":[106],"settings,":[109],"revealing":[110],"current":[112,133],"struggle":[114],"to":[115],"maintain":[116],"consistency":[118],"when":[119],"complexity":[121],"combines":[122],"with":[123],"visually":[124],"integrated":[125],"presentations.":[126],"These":[127],"findings":[128],"highlight":[129],"critical":[130],"gaps":[131],"capabilities,":[135],"providing":[136],"insights":[137],"advancing":[139],"more":[140],"robust":[141],"reliable":[143],"understanding":[145],"models.":[146]},"counts_by_year":[],"updated_date":"2026-07-28T07:46:37.118299","created_date":"2026-05-09T00:00:00"}