{"id":"https://openalex.org/W7170068796","doi":"https://doi.org/10.48550/arxiv.2607.18839","title":"HPD-Parsing: Hierarchical Parallel Document Parsing","display_name":"HPD-Parsing: Hierarchical Parallel Document Parsing","publication_year":2026,"publication_date":"2026-07-21","ids":{"openalex":"https://openalex.org/W7170068796","doi":"https://doi.org/10.48550/arxiv.2607.18839"},"language":null,"primary_location":{"id":"doi:10.48550/arxiv.2607.18839","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2607.18839","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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","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.2607.18839","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5143425251","display_name":"Shu Wei","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Wei, Shu","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5143448130","display_name":"Jingjing Wu","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Wu, Jingjing","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5073225252","display_name":"Lingshu Zhang","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Zhang, Lingshu","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100570870","display_name":"Qunyi Xie","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Xie, Qunyi","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5143426383","display_name":"Hao Zou","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Zou, Hao","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5139259845","display_name":"Le Xiang","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Xiang, Le","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5092217490","display_name":"\u68b5 \u5f90","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Fan, Xu","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5056627511","display_name":"Yangliu Xu","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Xu, Yangliu","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5076353846","display_name":"Manhui Lin","orcid":"https://orcid.org/0000-0002-6933-9788"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Lin, Manhui","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5143455590","display_name":"Xiaolong Ma","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Ma, Xiaolong","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5143410758","display_name":"Cheng Cui","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Cui, Cheng","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5108970741","display_name":"Tengyu DU","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Du, Tengyu","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5143411238","display_name":"YY","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"YY","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/T10181","display_name":"Natural Language Processing Techniques","score":0.944599986076355,"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/T10181","display_name":"Natural Language Processing Techniques","score":0.944599986076355,"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/T10028","display_name":"Topic Modeling","score":0.008100000210106373,"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/T14347","display_name":"Big Data and Digital Economy","score":0.005400000140070915,"subfield":{"id":"https://openalex.org/subfields/1710","display_name":"Information Systems"},"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/parsing","display_name":"Parsing","score":0.8075000047683716},{"id":"https://openalex.org/keywords/decoding-methods","display_name":"Decoding methods","score":0.7106000185012817},{"id":"https://openalex.org/keywords/autoregressive-model","display_name":"Autoregressive model","score":0.6241000294685364},{"id":"https://openalex.org/keywords/block","display_name":"Block (permutation group theory)","score":0.5685999989509583},{"id":"https://openalex.org/keywords/key","display_name":"Key (lock)","score":0.5598000288009644},{"id":"https://openalex.org/keywords/bottleneck","display_name":"Bottleneck","score":0.542900025844574}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8474000096321106},{"id":"https://openalex.org/C186644900","wikidata":"https://www.wikidata.org/wiki/Q194152","display_name":"Parsing","level":2,"score":0.8075000047683716},{"id":"https://openalex.org/C57273362","wikidata":"https://www.wikidata.org/wiki/Q576722","display_name":"Decoding methods","level":2,"score":0.7106000185012817},{"id":"https://openalex.org/C159877910","wikidata":"https://www.wikidata.org/wiki/Q2202883","display_name":"Autoregressive model","level":2,"score":0.6241000294685364},{"id":"https://openalex.org/C2777210771","wikidata":"https://www.wikidata.org/wiki/Q4927124","display_name":"Block (permutation group theory)","level":2,"score":0.5685999989509583},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.5598000288009644},{"id":"https://openalex.org/C2780513914","wikidata":"https://www.wikidata.org/wiki/Q18210350","display_name":"Bottleneck","level":2,"score":0.542900025844574},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.45669999718666077},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.3643999993801117},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.3625999987125397},{"id":"https://openalex.org/C189950617","wikidata":"https://www.wikidata.org/wiki/Q937228","display_name":"Property (philosophy)","level":2,"score":0.33250001072883606},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.3319000005722046},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.31040000915527344},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.2912999987602234},{"id":"https://openalex.org/C157764524","wikidata":"https://www.wikidata.org/wiki/Q1383412","display_name":"Throughput","level":3,"score":0.27889999747276306},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.2770000100135803},{"id":"https://openalex.org/C137293760","wikidata":"https://www.wikidata.org/wiki/Q3621696","display_name":"Language model","level":2,"score":0.2590999901294708}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.48550/arxiv.2607.18839","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2607.18839","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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"Preprint"}],"best_oa_location":{"id":"doi:10.48550/arxiv.2607.18839","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2607.18839","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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Preprint"},"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":{"Efficient":[0],"teamwork":[1],"typically":[2],"combines":[3],"global":[4],"coordination":[5],"with":[6,46,85],"parallel":[7,162],"execution,":[8],"a":[9,35,41,54,86,173],"principle":[10],"not":[11],"yet":[12],"fully":[13],"reflected":[14],"in":[15,71],"unified":[16,23,178],"Vision-Language":[17],"Model":[18],"(VLM)-based":[19],"document":[20,47,58,98,142,179],"parsers.":[21],"Existing":[22],"parsers":[24],"process":[25],"an":[26,165],"entire":[27],"page":[28],"jointly":[29],"but":[30],"generate":[31],"its":[32],"output":[33],"through":[34],"single":[36],"token-by-token":[37],"autoregressive":[38,83,151,170],"trajectory,":[39],"creating":[40],"sequential":[42,51],"bottleneck":[43],"that":[44,127,147],"grows":[45],"length.":[48],"Such":[49],"full-page":[50,82,169],"generation":[52,84],"overlooks":[53],"key":[55],"property":[56],"of":[57,138,148],"parsing:":[59],"layout":[60,93],"must":[61],"be":[62,69],"analyzed":[63],"globally,":[64],"whereas":[65],"block":[66],"content":[67,104],"can":[68],"parsed":[70],"parallel.":[72],"Based":[73],"on":[74,123],"this":[75],"observation,":[76],"we":[77],"introduce":[78],"HPD-Parsing,":[79],"which":[80],"replaces":[81],"Hierarchical":[87],"Parallel":[88],"Decoding":[89],"paradigm.":[90],"A":[91],"main":[92],"branch":[94],"organizes":[95],"the":[96,116,136,139,149],"overall":[97],"structure":[99],"and":[100,145],"dynamically":[101],"assigns":[102],"block-level":[103],"decoding":[105,117,163],"to":[106,168],"concurrent":[107],"branches,":[108],"while":[109,153],"progressive":[110],"multi-token":[111],"prediction":[112],"(P-MTP)":[113],"further":[114],"reduces":[115],"steps":[118],"within":[119],"each":[120],"branch.":[121],"Experiments":[122],"public":[124],"benchmarks":[125],"show":[126],"HPD-Parsing":[128],"achieves":[129],"4,752":[130],"tokens":[131],"per":[132],"second,":[133],"delivering":[134],"$2.62\\times$":[135],"throughput":[137],"fastest":[140],"existing":[141],"parsing":[143,156],"model":[144],"$3.06\\times$":[146],"vanilla":[150],"baseline,":[152],"maintaining":[154],"competitive":[155],"accuracy.":[157],"These":[158],"results":[159],"establish":[160],"hierarchical":[161],"as":[164],"effective":[166],"alternative":[167],"generation,":[171],"opening":[172],"new":[174],"direction":[175],"for":[176],"efficient":[177],"parsing.":[180]},"counts_by_year":[],"updated_date":"2026-07-28T07:46:37.118299","created_date":"2026-07-23T00:00:00"}