{"id":"https://openalex.org/W4416035846","doi":"https://doi.org/10.18653/v1/2025.emnlp-main.1141","title":"T2R-BENCH: A Benchmark for Real World Table-to-Report Task","display_name":"T2R-BENCH: A Benchmark for Real World Table-to-Report Task","publication_year":2025,"publication_date":"2025-01-01","ids":{"openalex":"https://openalex.org/W4416035846","doi":"https://doi.org/10.18653/v1/2025.emnlp-main.1141"},"language":null,"primary_location":{"id":"doi:10.18653/v1/2025.emnlp-main.1141","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/2025.emnlp-main.1141","pdf_url":"https://aclanthology.org/2025.emnlp-main.1141.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":"Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://aclanthology.org/2025.emnlp-main.1141.pdf","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5100436809","display_name":"Jie Zhang","orcid":"https://orcid.org/0000-0002-8311-370X"},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Jie Zhang","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5023331304","display_name":"Changzai Pan","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Changzai Pan","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5113102383","display_name":"Sishi Xiong","orcid":"https://orcid.org/0009-0004-0011-4435"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Sishi Xiong","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5068039769","display_name":"Kaiwen Wei","orcid":"https://orcid.org/0000-0002-5830-0802"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Kaiwen Wei","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5089175200","display_name":"Yu Zhao","orcid":"https://orcid.org/0000-0002-2814-591X"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Yu Zhao","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100460320","display_name":"Xiangyu Li","orcid":"https://orcid.org/0000-0002-7390-9544"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Xiangyu Li","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5021532205","display_name":"Jia\u2010Xin Peng","orcid":"https://orcid.org/0000-0002-0119-0139"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Jiaxin Peng","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5112124047","display_name":"Xiaoyan Gu","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Xiaoyan Gu","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5073070139","display_name":"Jian Yang","orcid":"https://orcid.org/0009-0005-2519-730X"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Jian Yang","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5039998142","display_name":"Wenhan Chang","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Wenhan Chang","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5080537918","display_name":"Zhenhe Wu","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Zhenhe Wu","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101896229","display_name":"Jiang Zhong","orcid":"https://orcid.org/0000-0003-2990-6722"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Jiang Zhong","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5087486098","display_name":"Shuangyong Song","orcid":"https://orcid.org/0000-0001-7465-1082"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Shuangyong Song","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"last","author":{"id":null,"display_name":"Xuelong Li","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Xuelong Li","raw_affiliation_strings":[],"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":14,"corresponding_author_ids":["https://openalex.org/A5100436809"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":3.8373,"has_fulltext":true,"cited_by_count":2,"citation_normalized_percentile":{"value":0.94348935,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":91,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"22438","last_page":"22462"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11719","display_name":"Data Quality and Management","score":0.2944999933242798,"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":0.2944999933242798,"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/T10028","display_name":"Topic Modeling","score":0.2029999941587448,"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"}},{"id":"https://openalex.org/T11550","display_name":"Text and Document Classification Technologies","score":0.061799999326467514,"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/task","display_name":"Task (project management)","score":0.588699996471405},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.5278000235557556},{"id":"https://openalex.org/keywords/natural-language","display_name":"Natural language","score":0.44179999828338623},{"id":"https://openalex.org/keywords/empirical-research","display_name":"Empirical research","score":0.37369999289512634},{"id":"https://openalex.org/keywords/natural","display_name":"Natural (archaeology)","score":0.3474000096321106},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.2971000075340271}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.664900004863739},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.588699996471405},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5370000004768372},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.5278000235557556},{"id":"https://openalex.org/C195324797","wikidata":"https://www.wikidata.org/wiki/Q33742","display_name":"Natural language","level":2,"score":0.44179999828338623},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.37689998745918274},{"id":"https://openalex.org/C120936955","wikidata":"https://www.wikidata.org/wiki/Q2155640","display_name":"Empirical research","level":2,"score":0.37369999289512634},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.36959999799728394},{"id":"https://openalex.org/C2776608160","wikidata":"https://www.wikidata.org/wiki/Q4785462","display_name":"Natural (archaeology)","level":2,"score":0.3474000096321106},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.32179999351501465},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.2971000075340271},{"id":"https://openalex.org/C527412718","wikidata":"https://www.wikidata.org/wiki/Q855395","display_name":"Interpretation (philosophy)","level":2,"score":0.2775000035762787},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.251800000667572},{"id":"https://openalex.org/C165064840","wikidata":"https://www.wikidata.org/wiki/Q1321061","display_name":"Matching (statistics)","level":2,"score":0.25119999051094055}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.18653/v1/2025.emnlp-main.1141","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/2025.emnlp-main.1141","pdf_url":"https://aclanthology.org/2025.emnlp-main.1141.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":"Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.18653/v1/2025.emnlp-main.1141","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/2025.emnlp-main.1141","pdf_url":"https://aclanthology.org/2025.emnlp-main.1141.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":"Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing","raw_type":"proceedings-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G2082826544","display_name":null,"funder_award_id":"Postdoctoral","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G2087396116","display_name":null,"funder_award_id":"China","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G3317480652","display_name":null,"funder_award_id":"Science","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5994120800","display_name":null,"funder_award_id":"Natural","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G8687649489","display_name":null,"funder_award_id":"62176029","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320321543","display_name":"China Postdoctoral Science Foundation","ror":"https://ror.org/0426zh255"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4416035846.pdf","grobid_xml":"https://content.openalex.org/works/W4416035846.grobid-xml"},"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"Jie":[0],"Zhang,":[1],"Changzai":[2],"Pan,":[3],"Sishi":[4],"Xiong,":[5],"Kaiwen":[6],"Wei,":[7],"Yu":[8],"Zhao,":[9],"Xiangyu":[10],"Li,":[11],"Jiaxin":[12],"Peng,":[13],"Xiaoyan":[14],"Gu,":[15],"Jian":[16],"Yang,":[17],"Wenhan":[18],"Chang,":[19],"Zhenhe":[20],"Wu,":[21],"Jiang":[22],"Zhong,":[23],"Shuangyong":[24],"Song,":[25],"Xuelong":[26],"Li.":[27],"Proceedings":[28],"of":[29],"the":[30],"2025":[31],"Conference":[32],"on":[33],"Empirical":[34],"Methods":[35],"in":[36],"Natural":[37],"Language":[38],"Processing.":[39],"2025.":[40]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":1}],"updated_date":"2026-04-19T08:26:33.389920","created_date":"2025-11-08T00:00:00"}