{"id":"https://openalex.org/W4412377325","doi":"https://doi.org/10.1145/3726302.3730183","title":"Dynamic Superblock Pruning for Fast Learned Sparse Retrieval","display_name":"Dynamic Superblock Pruning for Fast Learned Sparse Retrieval","publication_year":2025,"publication_date":"2025-07-13","ids":{"openalex":"https://openalex.org/W4412377325","doi":"https://doi.org/10.1145/3726302.3730183"},"language":"en","primary_location":{"id":"doi:10.1145/3726302.3730183","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3726302.3730183","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3726302.3730183","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 48th International ACM SIGIR Conference on Research and Development in Information Retrieval","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://dl.acm.org/doi/pdf/10.1145/3726302.3730183","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5018045958","display_name":"Parker Carlson","orcid":"https://orcid.org/0000-0003-1856-5088"},"institutions":[{"id":"https://openalex.org/I154570441","display_name":"University of California, Santa Barbara","ror":"https://ror.org/02t274463","country_code":"US","type":"education","lineage":["https://openalex.org/I154570441"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Parker Carlson","raw_affiliation_strings":["University of California, Santa Barbara, Santa Barbara, CA, USA"],"raw_orcid":"https://orcid.org/0000-0003-1856-5088","affiliations":[{"raw_affiliation_string":"University of California, Santa Barbara, Santa Barbara, CA, USA","institution_ids":["https://openalex.org/I154570441"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101939239","display_name":"Wentai Xie","orcid":null},"institutions":[{"id":"https://openalex.org/I154570441","display_name":"University of California, Santa Barbara","ror":"https://ror.org/02t274463","country_code":"US","type":"education","lineage":["https://openalex.org/I154570441"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Wentai Xie","raw_affiliation_strings":["University of California, Santa Barbara, Santa Barbara, CA, USA"],"raw_orcid":"https://orcid.org/0009-0007-7870-3100","affiliations":[{"raw_affiliation_string":"University of California, Santa Barbara, Santa Barbara, CA, USA","institution_ids":["https://openalex.org/I154570441"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5037790148","display_name":"Shanxiu He","orcid":"https://orcid.org/0009-0008-8581-6733"},"institutions":[{"id":"https://openalex.org/I154570441","display_name":"University of California, Santa Barbara","ror":"https://ror.org/02t274463","country_code":"US","type":"education","lineage":["https://openalex.org/I154570441"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Shanxiu He","raw_affiliation_strings":["University of California, Santa Barbara, Santa Barbara, CA, USA"],"raw_orcid":"https://orcid.org/0009-0008-8581-6733","affiliations":[{"raw_affiliation_string":"University of California, Santa Barbara, Santa Barbara, CA, USA","institution_ids":["https://openalex.org/I154570441"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5060730782","display_name":"Tao Yang","orcid":"https://orcid.org/0000-0003-1902-3387"},"institutions":[{"id":"https://openalex.org/I154570441","display_name":"University of California, Santa Barbara","ror":"https://ror.org/02t274463","country_code":"US","type":"education","lineage":["https://openalex.org/I154570441"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Tao Yang","raw_affiliation_strings":["University of California, Santa Barbara, Santa Barbara, CA, USA"],"raw_orcid":"https://orcid.org/0000-0003-1902-3387","affiliations":[{"raw_affiliation_string":"University of California, Santa Barbara, Santa Barbara, CA, USA","institution_ids":["https://openalex.org/I154570441"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I154570441"],"apc_list":null,"apc_paid":null,"fwci":6.1242,"has_fulltext":true,"cited_by_count":8,"citation_normalized_percentile":{"value":0.96733441,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":91,"max":100},"biblio":{"volume":null,"issue":null,"first_page":"3004","last_page":"3009"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9994999766349792,"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"}},"topics":[{"id":"https://openalex.org/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9994999766349792,"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"}},{"id":"https://openalex.org/T10824","display_name":"Image Retrieval and Classification Techniques","score":0.9976999759674072,"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"}},{"id":"https://openalex.org/T11269","display_name":"Algorithms and Data Compression","score":0.9947999715805054,"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/pruning","display_name":"Pruning","score":0.7687786221504211},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7376899719238281},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5241855978965759},{"id":"https://openalex.org/keywords/parallel-computing","display_name":"Parallel computing","score":0.42723941802978516}],"concepts":[{"id":"https://openalex.org/C108010975","wikidata":"https://www.wikidata.org/wiki/Q500094","display_name":"Pruning","level":2,"score":0.7687786221504211},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7376899719238281},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5241855978965759},{"id":"https://openalex.org/C173608175","wikidata":"https://www.wikidata.org/wiki/Q232661","display_name":"Parallel computing","level":1,"score":0.42723941802978516},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C6557445","wikidata":"https://www.wikidata.org/wiki/Q173113","display_name":"Agronomy","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1145/3726302.3730183","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3726302.3730183","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3726302.3730183","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 48th International ACM SIGIR Conference on Research and Development in Information Retrieval","raw_type":"proceedings-article"},{"id":"pmh:doi:10.48550/arxiv.2504.17045","is_oa":true,"landing_page_url":null,"pdf_url":null,"source":{"id":"https://openalex.org/S4406922384","display_name":"Open MIND","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Article"}],"best_oa_location":{"id":"doi:10.1145/3726302.3730183","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3726302.3730183","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3726302.3730183","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 48th International ACM SIGIR Conference on Research and Development in Information Retrieval","raw_type":"proceedings-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G2058114682","display_name":null,"funder_award_id":"IIS-2225942","funder_id":"https://openalex.org/F4320323817","funder_display_name":"Universitas Brawijaya"},{"id":"https://openalex.org/G6343863509","display_name":"III: Small:  Efficiency Optimization for Neural Document Ranking with Compact Representations","funder_award_id":"2225942","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"}],"funders":[{"id":"https://openalex.org/F4320306076","display_name":"National Science Foundation","ror":"https://ror.org/021nxhr62"},{"id":"https://openalex.org/F4320323817","display_name":"Universitas Brawijaya","ror":"https://ror.org/01wk3d929"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4412377325.pdf","grobid_xml":"https://content.openalex.org/works/W4412377325.grobid-xml"},"referenced_works_count":35,"referenced_works":["https://openalex.org/W1980344365","https://openalex.org/W1982387198","https://openalex.org/W1994915827","https://openalex.org/W2016078760","https://openalex.org/W2056254997","https://openalex.org/W2064392127","https://openalex.org/W2065472179","https://openalex.org/W2154610494","https://openalex.org/W2292193262","https://openalex.org/W2303997053","https://openalex.org/W2586017539","https://openalex.org/W2604400725","https://openalex.org/W2740817677","https://openalex.org/W2799147087","https://openalex.org/W2934934067","https://openalex.org/W2955135504","https://openalex.org/W3093721172","https://openalex.org/W3101346938","https://openalex.org/W3114605047","https://openalex.org/W3154280800","https://openalex.org/W3154755316","https://openalex.org/W4252060112","https://openalex.org/W4284663260","https://openalex.org/W4284664419","https://openalex.org/W4296301204","https://openalex.org/W4367047387","https://openalex.org/W4381573351","https://openalex.org/W4384643607","https://openalex.org/W4384918448","https://openalex.org/W4385573371","https://openalex.org/W4396821195","https://openalex.org/W4400530380","https://openalex.org/W4403577337","https://openalex.org/W4404782516","https://openalex.org/W6794609274"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2899084033","https://openalex.org/W2748952813","https://openalex.org/W2390279801","https://openalex.org/W4391913857","https://openalex.org/W2358668433","https://openalex.org/W4396701345","https://openalex.org/W2376932109","https://openalex.org/W2001405890","https://openalex.org/W4396696052"],"abstract_inverted_index":{"This":[0],"paper":[1],"proposes":[2],"superblock":[3],"pruning":[4],"(SP)":[5],"during":[6],"top-k":[7,77],"online":[8],"document":[9,29],"retrieval":[10,83],"for":[11],"learned":[12],"sparse":[13,18,82],"representations.":[14],"SP":[15,49,79],"structures":[16],"the":[17,51,59,75,99],"index":[19],"as":[20],"a":[21,26,33,85,91,111],"set":[22],"of":[23,28,62,64],"superblocks":[24,40],"on":[25,106,110],"sequence":[27],"blocks":[30],"and":[31],"conducts":[32],"superblock-level":[34],"selection":[35],"to":[36,72],"decide":[37],"if":[38],"some":[39],"can":[41,80],"be":[42],"pruned":[43],"before":[44],"visiting":[45],"their":[46],"child":[47],"blocks.":[48],"generalizes":[50],"previous":[52],"flat":[53],"block":[54],"or":[55,68,87],"cluster-based":[56],"pruning,":[57],"allowing":[58],"early":[60],"detection":[61],"groups":[63],"documents":[65],"that":[66,98],"cannot":[67],"are":[69],"less":[70],"likely":[71],"appear":[73],"in":[74,84],"final":[76],"list.":[78],"accelerate":[81],"rank-safe":[86],"approximate":[88],"manner":[89],"under":[90],"high-relevance":[92],"competitiveness":[93],"constraint.":[94],"Our":[95],"experiments":[96],"show":[97],"proposed":[100],"scheme":[101],"significantly":[102],"outperforms":[103],"state-of-the-art":[104],"baselines":[105],"MS":[107],"MARCO":[108],"passages":[109],"single-threaded":[112],"CPU.":[113]},"counts_by_year":[{"year":2026,"cited_by_count":7},{"year":2025,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
