{"id":"https://openalex.org/W4414902899","doi":"https://doi.org/10.48550/arxiv.2503.15176","title":"A Review on Large Language Models for Visual Analytics","display_name":"A Review on Large Language Models for Visual Analytics","publication_year":2025,"publication_date":"2025-03-19","ids":{"openalex":"https://openalex.org/W4414902899","doi":"https://doi.org/10.48550/arxiv.2503.15176"},"language":"en","primary_location":{"id":"pmh:oai:arXiv.org:2503.15176","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2503.15176","pdf_url":"https://arxiv.org/pdf/2503.15176","source":{"id":"https://openalex.org/S4393918464","display_name":"ArXiv.org","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},"type":"review","indexed_in":["arxiv","datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/2503.15176","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":null,"display_name":"Agarwal, Navya Sonal","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Agarwal, Navya Sonal","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5003833348","display_name":"Sanjay Kumar Sonbhadra","orcid":"https://orcid.org/0000-0002-7457-9655"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Sonbhadra, Sanjay Kumar","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":2,"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/T10799","display_name":"Data Visualization and Analytics","score":0.8252999782562256,"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/T10799","display_name":"Data Visualization and Analytics","score":0.8252999782562256,"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/T11439","display_name":"Video Analysis and Summarization","score":0.7523999810218811,"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/T11980","display_name":"Human Mobility and Location-Based Analysis","score":0.7249000072479248,"subfield":{"id":"https://openalex.org/subfields/3313","display_name":"Transportation"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/visual-analytics","display_name":"Visual analytics","score":0.7192000150680542},{"id":"https://openalex.org/keywords/visualization","display_name":"Visualization","score":0.5325999855995178},{"id":"https://openalex.org/keywords/cultural-analytics","display_name":"Cultural analytics","score":0.527999997138977},{"id":"https://openalex.org/keywords/visual-language","display_name":"Visual language","score":0.5171999931335449},{"id":"https://openalex.org/keywords/natural-language","display_name":"Natural language","score":0.4659000039100647},{"id":"https://openalex.org/keywords/natural-language-understanding","display_name":"Natural language understanding","score":0.46389999985694885},{"id":"https://openalex.org/keywords/transformative-learning","display_name":"Transformative learning","score":0.43059998750686646},{"id":"https://openalex.org/keywords/data-visualization","display_name":"Data visualization","score":0.42329999804496765},{"id":"https://openalex.org/keywords/analytics","display_name":"Analytics","score":0.4004000127315521}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7468000054359436},{"id":"https://openalex.org/C59732488","wikidata":"https://www.wikidata.org/wiki/Q2528440","display_name":"Visual analytics","level":3,"score":0.7192000150680542},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.5450000166893005},{"id":"https://openalex.org/C36464697","wikidata":"https://www.wikidata.org/wiki/Q451553","display_name":"Visualization","level":2,"score":0.5325999855995178},{"id":"https://openalex.org/C545860419","wikidata":"https://www.wikidata.org/wiki/Q5193251","display_name":"Cultural analytics","level":5,"score":0.527999997138977},{"id":"https://openalex.org/C2780878386","wikidata":"https://www.wikidata.org/wiki/Q1659648","display_name":"Visual language","level":2,"score":0.5171999931335449},{"id":"https://openalex.org/C195324797","wikidata":"https://www.wikidata.org/wiki/Q33742","display_name":"Natural language","level":2,"score":0.4659000039100647},{"id":"https://openalex.org/C2779439875","wikidata":"https://www.wikidata.org/wiki/Q1078276","display_name":"Natural language understanding","level":3,"score":0.46389999985694885},{"id":"https://openalex.org/C70587473","wikidata":"https://www.wikidata.org/wiki/Q7834111","display_name":"Transformative learning","level":2,"score":0.43059998750686646},{"id":"https://openalex.org/C172367668","wikidata":"https://www.wikidata.org/wiki/Q6504956","display_name":"Data visualization","level":3,"score":0.42329999804496765},{"id":"https://openalex.org/C107457646","wikidata":"https://www.wikidata.org/wiki/Q207434","display_name":"Human\u2013computer interaction","level":1,"score":0.4187999963760376},{"id":"https://openalex.org/C79158427","wikidata":"https://www.wikidata.org/wiki/Q485396","display_name":"Analytics","level":2,"score":0.4004000127315521},{"id":"https://openalex.org/C174252522","wikidata":"https://www.wikidata.org/wiki/Q3816772","display_name":"Natural language user interface","level":3,"score":0.37779998779296875},{"id":"https://openalex.org/C63882131","wikidata":"https://www.wikidata.org/wiki/Q17122954","display_name":"Strengths and weaknesses","level":2,"score":0.3513000011444092},{"id":"https://openalex.org/C58642233","wikidata":"https://www.wikidata.org/wiki/Q8269924","display_name":"Taxonomy (biology)","level":2,"score":0.3328999876976013},{"id":"https://openalex.org/C179603123","wikidata":"https://www.wikidata.org/wiki/Q1941921","display_name":"Modeling language","level":3,"score":0.323199987411499},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.31369999051094055},{"id":"https://openalex.org/C185578843","wikidata":"https://www.wikidata.org/wiki/Q10609775","display_name":"Information visualization","level":3,"score":0.31369999051094055},{"id":"https://openalex.org/C99740376","wikidata":"https://www.wikidata.org/wiki/Q17092520","display_name":"Interactive visual analysis","level":4,"score":0.28780001401901245},{"id":"https://openalex.org/C66024118","wikidata":"https://www.wikidata.org/wiki/Q1122506","display_name":"Computational model","level":2,"score":0.28049999475479126},{"id":"https://openalex.org/C119059837","wikidata":"https://www.wikidata.org/wiki/Q175096","display_name":"SWOT analysis","level":2,"score":0.27709999680519104},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.2759999930858612},{"id":"https://openalex.org/C155092808","wikidata":"https://www.wikidata.org/wiki/Q182557","display_name":"Computational linguistics","level":2,"score":0.2752000093460083},{"id":"https://openalex.org/C14669888","wikidata":"https://www.wikidata.org/wiki/Q4014850","display_name":"Creative visualization","level":3,"score":0.2743000090122223},{"id":"https://openalex.org/C2776608160","wikidata":"https://www.wikidata.org/wiki/Q4785462","display_name":"Natural (archaeology)","level":2,"score":0.25839999318122864},{"id":"https://openalex.org/C75684735","wikidata":"https://www.wikidata.org/wiki/Q858810","display_name":"Big data","level":2,"score":0.2574999928474426},{"id":"https://openalex.org/C137293760","wikidata":"https://www.wikidata.org/wiki/Q3621696","display_name":"Language model","level":2,"score":0.25220000743865967}],"mesh":[],"locations_count":2,"locations":[{"id":"pmh:oai:arXiv.org:2503.15176","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2503.15176","pdf_url":"https://arxiv.org/pdf/2503.15176","source":{"id":"https://openalex.org/S4393918464","display_name":"ArXiv.org","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},{"id":"doi:10.48550/arxiv.2503.15176","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2503.15176","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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"article"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:2503.15176","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2503.15176","pdf_url":"https://arxiv.org/pdf/2503.15176","source":{"id":"https://openalex.org/S4393918464","display_name":"ArXiv.org","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"This":[0,147],"paper":[1,105],"provides":[2,149],"a":[3,150],"comprehensive":[4],"review":[5,59,148],"of":[6,9,32,39,125,153],"the":[7,29,36,63],"integration":[8,178],"Large":[10,155],"Language":[11,156],"Models":[12,157],"(LLMs)":[13,158],"with":[14,92,159],"visual":[15,33,68,160],"analytics,":[16,161],"addressing":[17,192],"their":[18,44,107],"foundational":[19],"concepts,":[20],"capabilities,":[21],"and":[22,35,55,67,75,81,88,99,110,120,141,166,173,179,182,187,195],"wide-ranging":[23],"applications.":[24],"It":[25,190],"begins":[26],"by":[27],"outlining":[28],"theoretical":[30],"underpinnings":[31],"analytics":[34,69],"transformative":[37],"potential":[38],"LLMs,":[40],"specifically":[41],"focusing":[42],"on":[43],"roles":[45],"in":[46,112,176],"natural":[47,50,130,134],"language":[48,51,131,135],"understanding,":[49],"generation,":[52],"dialogue":[53,139],"systems,":[54],"text-to-media":[56,142],"transformations.":[57],"The":[58,104,123],"further":[60],"investigates":[61],"how":[62],"synergy":[64],"between":[65],"LLMs":[66],"enhances":[70],"data":[71,114],"interpretation,":[72],"visualization":[73,116],"techniques,":[74],"interactive":[76],"exploration":[77],"capabilities.":[78],"Key":[79],"tools":[80],"platforms":[82],"including":[83,184],"LIDA,":[84],"Chat2VIS,":[85],"Julius":[86],"AI,":[87],"Zoho":[89],"Analytics,":[90],"along":[91],"specialized":[93],"multimodal":[94,177],"models":[95],"such":[96,169],"as":[97,170],"ChartLlama":[98],"CharXIV,":[100],"are":[101],"critically":[102],"evaluated.":[103],"discusses":[106],"functionalities,":[108],"strengths,":[109],"limitations":[111],"supporting":[113],"exploration,":[115],"enhancement,":[117],"automated":[118],"reporting,":[119],"insight":[121],"extraction.":[122],"taxonomy":[124],"LLM":[126],"tasks,":[127],"ranging":[128],"from":[129],"understanding":[132],"(NLU),":[133],"generation":[136],"(NLG),":[137],"to":[138],"systems":[140],"transformations,":[143],"is":[144],"systematically":[145],"explored.":[146],"SWOT":[151],"analysis":[152],"integrating":[154],"highlighting":[162],"strengths":[163],"like":[164],"accessibility":[165],"flexibility,":[167],"weaknesses":[168],"computational":[171],"demands":[172],"biases,":[174],"opportunities":[175],"user":[180],"collaboration,":[181],"threats":[183],"privacy":[185],"concerns":[186],"skill":[188],"degradation.":[189],"emphasizes":[191],"ethical":[193],"considerations":[194],"methodological":[196],"improvements":[197],"for":[198],"effective":[199],"integration.":[200]},"counts_by_year":[],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
