{"id":"https://openalex.org/W7163218947","doi":"https://doi.org/10.48550/arxiv.2606.01936","title":"What to Format and How: A Benchmark and Workflow Approach for Document Formatting","display_name":"What to Format and How: A Benchmark and Workflow Approach for Document Formatting","publication_year":2026,"publication_date":"2026-06-01","ids":{"openalex":"https://openalex.org/W7163218947","doi":"https://doi.org/10.48550/arxiv.2606.01936"},"language":null,"primary_location":{"id":"doi:10.48550/arxiv.2606.01936","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2606.01936","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"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":false,"raw_source_name":null,"raw_type":"Preprint"},"type":"preprint","indexed_in":["datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://doi.org/10.48550/arxiv.2606.01936","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5053612383","display_name":"Shihao Rao","orcid":"https://orcid.org/0000-0002-7544-6926"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Rao, Shihao","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5137699983","display_name":"Liang Li","orcid":"https://orcid.org/0000-0001-9139-5025"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Li, Liang","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5137696405","display_name":"Jiapeng Liu","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Liu, Jiapeng","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5021926421","display_name":"Tong Lin","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Lin, Tong","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5137651537","display_name":"Bing Li","orcid":"https://orcid.org/0000-0002-3747-3413"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Li, Bing","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5137618054","display_name":"Xiyan Gao","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Gao, Xiyan","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5137661430","display_name":"Peng Fu","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Fu, Peng","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5137639923","display_name":"Jing Huang","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Huang, Jing","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5137712366","display_name":"Can Ma","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Ma, Can","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":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/T10028","display_name":"Topic Modeling","score":0.24729999899864197,"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/T10028","display_name":"Topic Modeling","score":0.24729999899864197,"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/T13629","display_name":"Text Readability and Simplification","score":0.11729999631643295,"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/T12377","display_name":"Digital Humanities and Scholarship","score":0.10100000351667404,"subfield":{"id":"https://openalex.org/subfields/1208","display_name":"Literature and Literary Theory"},"field":{"id":"https://openalex.org/fields/12","display_name":"Arts and Humanities"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/disk-formatting","display_name":"Disk formatting","score":0.9825999736785889},{"id":"https://openalex.org/keywords/workflow","display_name":"Workflow","score":0.8082000017166138},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.6565999984741211},{"id":"https://openalex.org/keywords/glyph","display_name":"Glyph (data visualization)","score":0.36959999799728394},{"id":"https://openalex.org/keywords/security-token","display_name":"Security token","score":0.3271999955177307},{"id":"https://openalex.org/keywords/reading","display_name":"Reading (process)","score":0.3255000114440918}],"concepts":[{"id":"https://openalex.org/C88006597","wikidata":"https://www.wikidata.org/wiki/Q690117","display_name":"Disk formatting","level":2,"score":0.9825999736785889},{"id":"https://openalex.org/C177212765","wikidata":"https://www.wikidata.org/wiki/Q627335","display_name":"Workflow","level":2,"score":0.8082000017166138},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8070999979972839},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.6565999984741211},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.4357999861240387},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.4244999885559082},{"id":"https://openalex.org/C142816647","wikidata":"https://www.wikidata.org/wiki/Q5573018","display_name":"Glyph (data visualization)","level":3,"score":0.36959999799728394},{"id":"https://openalex.org/C115903868","wikidata":"https://www.wikidata.org/wiki/Q80993","display_name":"Software engineering","level":1,"score":0.32839998602867126},{"id":"https://openalex.org/C48145219","wikidata":"https://www.wikidata.org/wiki/Q1335365","display_name":"Security token","level":2,"score":0.3271999955177307},{"id":"https://openalex.org/C554936623","wikidata":"https://www.wikidata.org/wiki/Q199657","display_name":"Reading (process)","level":2,"score":0.3255000114440918},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.304500013589859},{"id":"https://openalex.org/C548217200","wikidata":"https://www.wikidata.org/wiki/Q251","display_name":"Java","level":2,"score":0.29829999804496765},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.27649998664855957},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.2759999930858612},{"id":"https://openalex.org/C2780385302","wikidata":"https://www.wikidata.org/wiki/Q367158","display_name":"Protocol (science)","level":3,"score":0.26190000772476196},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.26159998774528503},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.26100000739097595},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.25949999690055847},{"id":"https://openalex.org/C170858558","wikidata":"https://www.wikidata.org/wiki/Q1394144","display_name":"Automatic summarization","level":2,"score":0.25929999351501465},{"id":"https://openalex.org/C2777904410","wikidata":"https://www.wikidata.org/wiki/Q7397","display_name":"Software","level":2,"score":0.2583000063896179},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.2515000104904175}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.48550/arxiv.2606.01936","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2606.01936","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"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":"Preprint"}],"best_oa_location":{"id":"doi:10.48550/arxiv.2606.01936","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2606.01936","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"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":false,"raw_source_name":null,"raw_type":"Preprint"},"sustainable_development_goals":[{"display_name":"Quality Education","id":"https://metadata.un.org/sdg/4","score":0.6756312251091003}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"Recent":[0],"advances":[1],"in":[2,45,74],"large":[3],"language":[4],"models":[5,106],"(LLMs)":[6],"have":[7],"opened":[8],"up":[9],"new":[10],"possibilities":[11],"for":[12,65],"automated":[13],"document":[14,25,72,150],"formatting.":[15,151],"However,":[16],"real-world":[17],"formatting":[18,60,84,112,134],"often":[19],"requires":[20],"identifying":[21],"targets":[22],"based":[23],"on":[24],"content.":[26],"This":[27],"content-aware":[28,47],"setting":[29],"remains":[30],"challenging":[31],"and":[32,68,97,104,139,148],"underexplored,":[33],"primarily":[34],"due":[35],"to":[36,58,95,119],"the":[37,130],"lack":[38],"of":[39],"dedicated":[40],"evaluation":[41,44,57],"datasets.To":[42],"enable":[43],"realistic":[46],"scenarios,":[48],"we":[49,79],"introduce":[50],"DocFormBench,":[51],"a":[52,82],"benchmark":[53],"that":[54,86,108,125],"extends":[55],"Text-to-Format":[56],"diverse":[59],"requirements,":[61],"along":[62],"with":[63],"metrics":[64],"both":[66],"accuracy":[67,113],"efficiency.To":[69],"mitigate":[70],"redundant":[71],"reading":[73],"existing":[75],"methods":[76],"during":[77],"formatting,":[78],"propose":[80],"DocFormFlow,":[81],"workflow":[83],"method":[85],"decouples":[87],"target":[88,127],"localization":[89,128],"from":[90],"modification":[91],"execution":[92],"into":[93],"what":[94],"format":[96],"how.":[98],"Extensive":[99],"experiments":[100],"across":[101],"multiple":[102],"LLMs":[103],"multimodal":[105],"show":[107],"DocFormFlow":[109,140],"consistently":[110],"improves":[111],"while":[114],"reducing":[115],"token":[116],"consumption":[117],"compared":[118],"representative":[120],"baselines.":[121],"Further":[122],"analysis":[123],"reveals":[124],"precise":[126],"is":[129],"primary":[131],"factor":[132],"influencing":[133],"performance.":[135],"We":[136],"hope":[137],"DocFormBench":[138],"will":[141],"facilitate":[142],"future":[143],"research":[144],"toward":[145],"more":[146],"intelligent":[147],"reliable":[149]},"counts_by_year":[],"updated_date":"2026-07-28T07:46:37.118299","created_date":"2026-06-03T00:00:00"}