{"id":"https://openalex.org/W4393904465","doi":"https://doi.org/10.48550/arxiv.2404.00401","title":"How Robust are the Tabular QA Models for Scientific Tables? A Study using Customized Dataset","display_name":"How Robust are the Tabular QA Models for Scientific Tables? A Study using Customized Dataset","publication_year":2024,"publication_date":"2024-03-30","ids":{"openalex":"https://openalex.org/W4393904465","doi":"https://doi.org/10.48550/arxiv.2404.00401"},"language":"en","primary_location":{"id":"pmh:oai:arXiv.org:2404.00401","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2404.00401","pdf_url":"https://arxiv.org/pdf/2404.00401","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":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"text"},"type":"preprint","indexed_in":["arxiv","datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/2404.00401","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5101969785","display_name":"Akash Ghosh","orcid":"https://orcid.org/0009-0007-8767-708X"},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Ghosh, Akash","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5094363244","display_name":"B Venkata Sahith","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Sahith, B Venkata","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5073812421","display_name":"Niloy Ganguly","orcid":"https://orcid.org/0000-0002-3967-186X"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Ganguly, Niloy","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103213198","display_name":"Pawan Goyal","orcid":"https://orcid.org/0000-0002-9414-8166"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Goyal, Pawan","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5100746903","display_name":"Mayank Singh","orcid":"https://orcid.org/0000-0002-8393-3652"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Singh, Mayank","raw_affiliation_strings":[],"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5101969785"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":true,"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/T11719","display_name":"Data Quality and Management","score":0.9545000195503235,"subfield":{"id":"https://openalex.org/subfields/1803","display_name":"Management Science and Operations Research"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},"topics":[{"id":"https://openalex.org/T11719","display_name":"Data Quality and Management","score":0.9545000195503235,"subfield":{"id":"https://openalex.org/subfields/1803","display_name":"Management Science and Operations Research"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T11710","display_name":"Biomedical Text Mining and Ontologies","score":0.9325000047683716,"subfield":{"id":"https://openalex.org/subfields/1312","display_name":"Molecular Biology"},"field":{"id":"https://openalex.org/fields/13","display_name":"Biochemistry, Genetics and Molecular Biology"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5082749724388123},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.3551366925239563},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3501763343811035},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.3347809910774231}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5082749724388123},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.3551366925239563},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3501763343811035},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.3347809910774231}],"mesh":[],"locations_count":2,"locations":[{"id":"pmh:oai:arXiv.org:2404.00401","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2404.00401","pdf_url":"https://arxiv.org/pdf/2404.00401","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":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"text"},{"id":"doi:10.48550/arxiv.2404.00401","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2404.00401","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":"article"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:2404.00401","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2404.00401","pdf_url":"https://arxiv.org/pdf/2404.00401","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":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"text"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4393904465.pdf"},"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W2748952813","https://openalex.org/W2390279801","https://openalex.org/W2358668433","https://openalex.org/W2376932109","https://openalex.org/W2001405890","https://openalex.org/W2382290278","https://openalex.org/W2478288626","https://openalex.org/W4391913857","https://openalex.org/W2350741829","https://openalex.org/W2530322880"],"abstract_inverted_index":{"Question-answering":[0],"(QA)":[1],"on":[2,15,32,54,90],"hybrid":[3,56],"scientific":[4,11,33,55,71,112,126,143],"tabular":[5,23,57],"and":[6,13,73,103,107,128,153],"textual":[7],"data":[8,101,105],"deals":[9],"with":[10],"information,":[12],"relies":[14],"complex":[16,111],"numerical":[17],"reasoning.":[18],"In":[19,115],"recent":[20],"years,":[21],"while":[22],"QA":[24,52,87,151],"has":[25],"seen":[26],"rapid":[27],"progress,":[28],"understanding":[29],"their":[30,74,91],"robustness":[31,47],"information":[34,97],"is":[35,135,160],"lacking":[36],"due":[37],"to":[38,94,109,124,139],"absence":[39],"of":[40,48,66,79,121],"any":[41],"benchmark":[42,147],"dataset.":[43],"To":[44],"investigate":[45],"the":[46,49,77,84,119,122,156],"existing":[50],"state-of-the-art":[51,85,149],"models":[53,88,123],"data,":[58],"we":[59,82,117],"propose":[60],"a":[61],"new":[62],"dataset,":[63,81],"\"SciTabQA\",":[64],"consisting":[65],"822":[67],"question-answer":[68],"pairs":[69],"from":[70],"tables":[72,127],"descriptions.":[75],"With":[76],"help":[78],"this":[80],"assess":[83],"Tabular":[86,150],"based":[89],"ability":[92],"(i)":[93],"use":[95],"heterogeneous":[96,144],"requiring":[98],"both":[99],"structured":[100],"(table)":[102],"unstructured":[104],"(text)":[106],"(ii)":[108],"perform":[110],"reasoning":[113],"tasks.":[114],"essence,":[116],"check":[118],"capability":[120],"interpret":[125],"text.":[129],"Our":[130],"experiments":[131],"show":[132],"that":[133,155],"\"SciTabQA\"":[134],"an":[136],"innovative":[137],"dataset":[138],"study":[140],"question-answering":[141],"over":[142],"data.":[145],"We":[146],"three":[148],"models,":[152],"find":[154],"best":[157],"F1":[158],"score":[159],"only":[161],"0.462.":[162]},"counts_by_year":[],"updated_date":"2026-03-12T08:34:05.389933","created_date":"2024-04-04T00:00:00"}
