{"id":"https://openalex.org/W7139915286","doi":"https://doi.org/10.48550/arxiv.2603.18016","title":"MineDraft: A Framework for Batch Parallel Speculative Decoding","display_name":"MineDraft: A Framework for Batch Parallel Speculative Decoding","publication_year":2026,"publication_date":"2026-02-24","ids":{"openalex":"https://openalex.org/W7139915286","doi":"https://doi.org/10.48550/arxiv.2603.18016"},"language":null,"primary_location":{"id":"doi:10.48550/arxiv.2603.18016","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2603.18016","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":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.2603.18016","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5130220504","display_name":"Zhenwei Tang","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Tang, Zhenwei","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5130239667","display_name":"Arun Verma","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Verma, Arun","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5130249530","display_name":"Zijian Zhou","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Zhou, Zijian","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5130249054","display_name":"Zhaoxuan Wu","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Wu, Zhaoxuan","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101468284","display_name":"Alok Prakash","orcid":"https://orcid.org/0000-0001-8257-2974"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Prakash, Alok","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5130234754","display_name":"Daniela Rus","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Rus, Daniela","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5030304400","display_name":"Bryan Kian Hsiang Low","orcid":"https://orcid.org/0000-0003-2808-451X"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Low, Bryan Kian Hsiang","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":0.16200000047683716,"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":0.16200000047683716,"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/T12072","display_name":"Machine Learning and Algorithms","score":0.14839999377727509,"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/T10775","display_name":"Generative Adversarial Networks and Image Synthesis","score":0.12409999966621399,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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/decoding-methods","display_name":"Decoding methods","score":0.708899974822998},{"id":"https://openalex.org/keywords/latency","display_name":"Latency (audio)","score":0.5903000235557556},{"id":"https://openalex.org/keywords/inference","display_name":"Inference","score":0.5875999927520752},{"id":"https://openalex.org/keywords/throughput","display_name":"Throughput","score":0.5647000074386597},{"id":"https://openalex.org/keywords/plug-in","display_name":"Plug-in","score":0.4074999988079071}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8409000039100647},{"id":"https://openalex.org/C57273362","wikidata":"https://www.wikidata.org/wiki/Q576722","display_name":"Decoding methods","level":2,"score":0.708899974822998},{"id":"https://openalex.org/C82876162","wikidata":"https://www.wikidata.org/wiki/Q17096504","display_name":"Latency (audio)","level":2,"score":0.5903000235557556},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.5875999927520752},{"id":"https://openalex.org/C157764524","wikidata":"https://www.wikidata.org/wiki/Q1383412","display_name":"Throughput","level":3,"score":0.5647000074386597},{"id":"https://openalex.org/C173608175","wikidata":"https://www.wikidata.org/wiki/Q232661","display_name":"Parallel computing","level":1,"score":0.5146999955177307},{"id":"https://openalex.org/C4924752","wikidata":"https://www.wikidata.org/wiki/Q184148","display_name":"Plug-in","level":2,"score":0.4074999988079071},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.38370001316070557},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.3700000047683716},{"id":"https://openalex.org/C80478641","wikidata":"https://www.wikidata.org/wiki/Q195771","display_name":"Sequential analysis","level":2,"score":0.30410000681877136},{"id":"https://openalex.org/C113775141","wikidata":"https://www.wikidata.org/wiki/Q428691","display_name":"Computer engineering","level":1,"score":0.2985000014305115},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.29170000553131104},{"id":"https://openalex.org/C193969084","wikidata":"https://www.wikidata.org/wiki/Q7452500","display_name":"Sequential decoding","level":4,"score":0.2621999979019165},{"id":"https://openalex.org/C2989134064","wikidata":"https://www.wikidata.org/wiki/Q288510","display_name":"Execution time","level":2,"score":0.25130000710487366},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.2508000135421753}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.48550/arxiv.2603.18016","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2603.18016","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":"Preprint"}],"best_oa_location":{"id":"doi:10.48550/arxiv.2603.18016","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2603.18016","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":false,"raw_source_name":null,"raw_type":"Preprint"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"Speculative":[0],"decoding":[1,58],"(SD)":[2],"accelerates":[3],"large":[4],"language":[5],"model":[6,13],"inference":[7,148],"by":[8,22,36,67],"using":[9],"a":[10,23,54,90,139],"smaller":[11],"draft":[12,16],"to":[14,62,122,128],"propose":[15],"tokens":[17],"that":[18,76,94],"are":[19],"subsequently":[20],"verified":[21],"larger":[24],"target":[25],"model.":[26],"However,":[27],"the":[28,37,87,108],"performance":[29],"of":[30,41,98,116],"standard":[31,83,131],"SD":[32],"is":[33,78],"often":[34],"limited":[35],"strictly":[38],"sequential":[39],"execution":[40],"these":[42],"drafting":[43,65,101],"and":[44,124],"verification":[45,106],"stages.":[46],"To":[47],"address":[48],"this,":[49],"this":[50],"paper":[51],"proposes":[52],"MineDraft,":[53],"batch":[55,104],"parallel":[56],"speculative":[57],"(PSD)":[59],"framework":[60],"designed":[61],"effectively":[63],"hide":[64],"latency":[66,126],"overlapping":[68,100],"it":[69],"with":[70,105],"verification.":[71],"Our":[72,110],"theoretical":[73],"analysis":[74],"shows":[75],"PSD":[77,88],"substantially":[79],"more":[80],"efficient":[81],"than":[82],"SD.":[84,132],"MineDraft":[85,117,137],"realizes":[86],"through":[89],"novel":[91],"batch-parallel":[92],"design":[93],"maintains":[95],"two":[96],"batches":[97],"requests,":[99],"for":[102,107,141,146],"one":[103],"other.":[109],"experimental":[111],"results":[112],"show":[113],"significant":[114],"improvements":[115],"in":[118],"both":[119],"throughput":[120],"(up":[121,127],"75%)":[123],"end-to-end":[125],"39%)":[129],"over":[130],"Furthermore,":[133],"we":[134],"have":[135],"implemented":[136],"as":[138],"plugin":[140],"vLLM,":[142],"demonstrating":[143],"its":[144],"practicality":[145],"production-ready":[147],"systems.":[149]},"counts_by_year":[],"updated_date":"2026-07-01T06:00:48.157686","created_date":"2026-03-21T00:00:00"}