{"id":"https://openalex.org/W7166870515","doi":"https://doi.org/10.18653/v1/2026.findings-acl.1745","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":"2026-01-01","ids":{"openalex":"https://openalex.org/W7166870515","doi":"https://doi.org/10.18653/v1/2026.findings-acl.1745"},"language":null,"primary_location":{"id":"doi:10.18653/v1/2026.findings-acl.1745","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/2026.findings-acl.1745","pdf_url":"https://aclanthology.org/2026.findings-acl.1745.pdf","source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Findings of the Association for Computational Linguistics: ACL 2026","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://aclanthology.org/2026.findings-acl.1745.pdf","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5139747227","display_name":"Zheyuan Yang","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Zheyuan Yang","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5139767008","display_name":"Liqiang Shang","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Liqiang Shang","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5139728022","display_name":"Junjie Chen","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Junjie Chen","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5139766871","display_name":"Xun Yang","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Xun Yang","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5139824718","display_name":"Chenglong Xu","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Chenglong Xu","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5139837590","display_name":"Bo Yuan","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Bo Yuan","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5139764907","display_name":"Chenyuan Jiao","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Chenyuan Jiao","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":"Yaoru Sun","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5139773668","display_name":"Yilun Zhao","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Yilun Zhao","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":0.0,"has_fulltext":true,"cited_by_count":0,"citation_normalized_percentile":{"value":0.86511198,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"34967","last_page":"34985"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11596","display_name":"Constraint Satisfaction and Optimization","score":0.25119999051094055,"subfield":{"id":"https://openalex.org/subfields/1705","display_name":"Computer Networks and Communications"},"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/T11596","display_name":"Constraint Satisfaction and Optimization","score":0.25119999051094055,"subfield":{"id":"https://openalex.org/subfields/1705","display_name":"Computer Networks and Communications"},"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":0.23800000548362732,"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/T11714","display_name":"Multimodal Machine Learning Applications","score":0.13680000603199005,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/table","display_name":"Table (database)","score":0.5408999919891357},{"id":"https://openalex.org/keywords/benchmarking","display_name":"Benchmarking","score":0.49399998784065247},{"id":"https://openalex.org/keywords/structural-complexity","display_name":"Structural complexity","score":0.4620000123977661},{"id":"https://openalex.org/keywords/structural-approach","display_name":"Structural approach","score":0.4489000141620636},{"id":"https://openalex.org/keywords/visualization","display_name":"Visualization","score":0.35510000586509705}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.654699981212616},{"id":"https://openalex.org/C45235069","wikidata":"https://www.wikidata.org/wiki/Q278425","display_name":"Table (database)","level":2,"score":0.5408999919891357},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5389999747276306},{"id":"https://openalex.org/C86251818","wikidata":"https://www.wikidata.org/wiki/Q816754","display_name":"Benchmarking","level":2,"score":0.49399998784065247},{"id":"https://openalex.org/C509619924","wikidata":"https://www.wikidata.org/wiki/Q17130757","display_name":"Structural complexity","level":2,"score":0.4620000123977661},{"id":"https://openalex.org/C2778491795","wikidata":"https://www.wikidata.org/wiki/Q25109883","display_name":"Structural approach","level":3,"score":0.4489000141620636},{"id":"https://openalex.org/C36464697","wikidata":"https://www.wikidata.org/wiki/Q451553","display_name":"Visualization","level":2,"score":0.35510000586509705},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.2953000068664551},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.27320000529289246},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.262800008058548},{"id":"https://openalex.org/C88282795","wikidata":"https://www.wikidata.org/wiki/Q2448108","display_name":"Structural system","level":2,"score":0.257999986410141},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.25519999861717224}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.18653/v1/2026.findings-acl.1745","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/2026.findings-acl.1745","pdf_url":"https://aclanthology.org/2026.findings-acl.1745.pdf","source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Findings of the Association for Computational Linguistics: ACL 2026","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.18653/v1/2026.findings-acl.1745","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/2026.findings-acl.1745","pdf_url":"https://aclanthology.org/2026.findings-acl.1745.pdf","source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Findings of the Association for Computational Linguistics: ACL 2026","raw_type":"proceedings-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W7166870515.pdf","grobid_xml":"https://content.openalex.org/works/W7166870515.grobid-xml"},"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"We":[0],"introduce":[1],"TableVista,":[2],"a":[3,59],"comprehensive":[4,76],"benchmark":[5],"for":[6,58,133],"evaluating":[7],"foundation":[8,72],"models":[9,73,86,109],"in":[10,54,127],"multimodal":[11,56,129],"table":[12,23,139],"reasoning":[13,24,113],"under":[14],"visual":[15,34],"and":[16,40,50,70,78,103,137],"structural":[17,101,116],"complexity.TableVista":[18],"consists":[19],"of":[20,66],"3,000":[21],"high-quality":[22],"problems,":[25],"where":[26],"each":[27],"instance":[28],"is":[29],"expanded":[30],"into":[31],"10":[32],"distinct":[33],"variants":[35],"through":[36],"our":[37],"multi-style":[38],"rendering":[39,92],"transformation":[41],"pipeline.This":[42],"process":[43],"encompasses":[44],"diverse":[45,91],"scenario":[46],"styles,":[47,93],"robustness":[48],"perturbations,":[49],"vision-only":[51,104],"configurations,":[52],"culminating":[53],"30,000":[55],"samples":[57],"multi-dimensional":[60],"evaluation.We":[61],"conduct":[62],"an":[63],"extensive":[64],"evaluation":[65],"29":[67],"state-ofthe-art":[68],"open-source":[69],"proprietary":[71],"on":[74,99],"TableVista.Through":[75],"quantitative":[77],"qualitative":[79],"analysis,":[80],"we":[81],"find":[82],"that":[83,107],"while":[84],"evaluated":[85],"remain":[87],"largely":[88],"stable":[89],"across":[90],"they":[94],"exhibit":[95],"pronounced":[96],"performance":[97],"degradation":[98],"complex":[100],"layouts":[102],"settings,":[105],"revealing":[106],"current":[108,128],"struggle":[110],"to":[111],"maintain":[112],"consistency":[114],"when":[115],"complexity":[117],"combines":[118],"with":[119],"visually":[120],"integrated":[121],"presentations.These":[122],"findings":[123],"highlight":[124],"critical":[125],"gaps":[126],"capabilities,":[130],"providing":[131],"insights":[132],"advancing":[134],"more":[135],"robust":[136],"reliable":[138],"understanding":[140],"models.":[141]},"counts_by_year":[],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2026-07-02T00:00:00"}