{"id":"https://openalex.org/W4415192597","doi":"https://doi.org/10.1109/ijcnn64981.2025.11228106","title":"PanelTR: Zero-Shot Table Reasoning Framework Through Multi-Agent Scientific Discussion","display_name":"PanelTR: Zero-Shot Table Reasoning Framework Through Multi-Agent Scientific Discussion","publication_year":2025,"publication_date":"2025-06-30","ids":{"openalex":"https://openalex.org/W4415192597","doi":"https://doi.org/10.1109/ijcnn64981.2025.11228106"},"language":"en","primary_location":{"id":"doi:10.1109/ijcnn64981.2025.11228106","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn64981.2025.11228106","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 International Joint Conference on Neural Networks (IJCNN)","raw_type":"proceedings-article"},"type":"article","indexed_in":["arxiv","crossref","datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/2508.06110","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5044998959","display_name":"Yiyi Ma","orcid":"https://orcid.org/0000-0003-3874-0306"},"institutions":[{"id":"https://openalex.org/I139759216","display_name":"Beijing University of Posts and Telecommunications","ror":"https://ror.org/04w9fbh59","country_code":"CN","type":"education","lineage":["https://openalex.org/I139759216"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Yiran Rex Ma","raw_affiliation_strings":["Beijing Univeristy of Posts and Telecommunications,School of Humanities,Beijing,China"],"affiliations":[{"raw_affiliation_string":"Beijing Univeristy of Posts and Telecommunications,School of Humanities,Beijing,China","institution_ids":["https://openalex.org/I139759216"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5044998959"],"corresponding_institution_ids":["https://openalex.org/I139759216"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.15045296,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"8"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10215","display_name":"Semantic Web and Ontologies","score":0.9060999751091003,"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"}},"topics":[{"id":"https://openalex.org/T10215","display_name":"Semantic Web and Ontologies","score":0.9060999751091003,"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/table","display_name":"Table (database)","score":0.8287000060081482},{"id":"https://openalex.org/keywords/workflow","display_name":"Workflow","score":0.7303000092506409},{"id":"https://openalex.org/keywords/flexibility","display_name":"Flexibility (engineering)","score":0.6223999857902527},{"id":"https://openalex.org/keywords/limiting","display_name":"Limiting","score":0.49219998717308044},{"id":"https://openalex.org/keywords/simple","display_name":"Simple (philosophy)","score":0.3483999967575073},{"id":"https://openalex.org/keywords/scientific-reasoning","display_name":"Scientific reasoning","score":0.3425000011920929}],"concepts":[{"id":"https://openalex.org/C45235069","wikidata":"https://www.wikidata.org/wiki/Q278425","display_name":"Table (database)","level":2,"score":0.8287000060081482},{"id":"https://openalex.org/C177212765","wikidata":"https://www.wikidata.org/wiki/Q627335","display_name":"Workflow","level":2,"score":0.7303000092506409},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7293999791145325},{"id":"https://openalex.org/C2780598303","wikidata":"https://www.wikidata.org/wiki/Q65921492","display_name":"Flexibility (engineering)","level":2,"score":0.6223999857902527},{"id":"https://openalex.org/C188198153","wikidata":"https://www.wikidata.org/wiki/Q1613840","display_name":"Limiting","level":2,"score":0.49219998717308044},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4657000005245209},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.4171000123023987},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.35659998655319214},{"id":"https://openalex.org/C2780586882","wikidata":"https://www.wikidata.org/wiki/Q7520643","display_name":"Simple (philosophy)","level":2,"score":0.3483999967575073},{"id":"https://openalex.org/C2992562121","wikidata":"https://www.wikidata.org/wiki/Q3817808","display_name":"Scientific reasoning","level":2,"score":0.3425000011920929},{"id":"https://openalex.org/C117251300","wikidata":"https://www.wikidata.org/wiki/Q1849855","display_name":"Parametric statistics","level":2,"score":0.3343000113964081},{"id":"https://openalex.org/C51632099","wikidata":"https://www.wikidata.org/wiki/Q3985153","display_name":"Training set","level":2,"score":0.30630001425743103},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.28380000591278076},{"id":"https://openalex.org/C195344581","wikidata":"https://www.wikidata.org/wiki/Q2555318","display_name":"Automated reasoning","level":2,"score":0.274399995803833}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1109/ijcnn64981.2025.11228106","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn64981.2025.11228106","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 International Joint Conference on Neural Networks (IJCNN)","raw_type":"proceedings-article"},{"id":"pmh:oai:arXiv.org:2508.06110","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2508.06110","pdf_url":"https://arxiv.org/pdf/2508.06110","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.2508.06110","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2508.06110","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:2508.06110","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2508.06110","pdf_url":"https://arxiv.org/pdf/2508.06110","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":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":32,"referenced_works":["https://openalex.org/W3212606841","https://openalex.org/W3184477871","https://openalex.org/W3174986053","https://openalex.org/W3035140194","https://openalex.org/W2963899988","https://openalex.org/W3101082165","https://openalex.org/W3207118113","https://openalex.org/W4385553281","https://openalex.org/W4385281527","https://openalex.org/W4206418383","https://openalex.org/W3103667349","https://openalex.org/W2964224049","https://openalex.org/W2546950329","https://openalex.org/W4401043958","https://openalex.org/W4411120576","https://openalex.org/W3098295417","https://openalex.org/W4392669758","https://openalex.org/W4385573500","https://openalex.org/W3166417463","https://openalex.org/W4205246855","https://openalex.org/W4385574014","https://openalex.org/W4206441041","https://openalex.org/W4393156804","https://openalex.org/W4401507677","https://openalex.org/W4289870801","https://openalex.org/W4411113195","https://openalex.org/W4409365330","https://openalex.org/W3035620114","https://openalex.org/W4281656839","https://openalex.org/W4409362526","https://openalex.org/W2970900584","https://openalex.org/W3167783161"],"related_works":[],"abstract_inverted_index":{"Table":[0],"reasoning,":[1],"including":[2],"tabular":[3],"QA":[4],"and":[5,19,65,99],"fact":[6],"verification,":[7],"often":[8,25],"depends":[9],"on":[10,83],"annotated":[11],"data":[12,15,84],"or":[13,86],"complex":[14,121],"augmentation,":[16],"limiting":[17],"flexibility":[18],"generalization.":[20],"LLMs,":[21],"despite":[22],"their":[23],"versatility,":[24],"underperform":[26],"compared":[27],"to":[28],"simple":[29],"supervised":[30,102],"models.":[31],"To":[32],"approach":[33],"these":[34],"issues,":[35],"we":[36],"introduce":[37],"PanelTR,":[38],"a":[39,50,131],"framework":[40],"utilizing":[41],"LLM":[42],"agent":[43,57],"scientists":[44,58],"for":[45],"robust":[46],"table":[47,124],"reasoning":[48,125],"through":[49],"structured":[51,115],"scientific":[52,116],"approach.":[53],"PanelTR\u2019s":[54],"workflow":[55],"involves":[56],"conducting":[59],"individual":[60],"investigations,":[61],"engaging":[62],"in":[63,67,130],"self-review,":[64],"participating":[66],"collaborative":[68],"peer-review":[69],"discussions.":[70],"This":[71],"process,":[72],"driven":[73],"by":[74],"five":[75],"scientist":[76],"personas,":[77],"enables":[78],"semantic-level":[79],"transfer":[80],"without":[81],"relying":[82],"augmentation":[85],"parametric":[87],"optimization.":[88],"Experiments":[89],"across":[90],"four":[91],"benchmarks":[92],"show":[93],"that":[94,114],"PanelTR":[95],"outperforms":[96],"vanilla":[97],"LLMs":[98],"rivals":[100],"fully":[101],"models,":[103],"all":[104],"while":[105],"remaining":[106],"independent":[107],"of":[108],"training":[109],"data.":[110],"Our":[111],"findings":[112],"indicate":[113],"methodology":[117],"can":[118],"effectively":[119],"handle":[120],"tasks":[122],"beyond":[123],"with":[126],"flexible":[127],"semantic":[128],"understanding":[129],"zero-shot":[132],"context.":[133],"<sup":[134],"xmlns:mml=\"http://www.w3.org/1998/Math/MathML\"":[135],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">1</sup>":[136]},"counts_by_year":[],"updated_date":"2026-04-05T17:49:38.594831","created_date":"2025-10-15T00:00:00"}