{"id":"https://openalex.org/W4291908477","doi":"https://doi.org/10.1109/icccs55155.2022.9846198","title":"Post-Training Quantization for Longformer with Chunkwise Quantization Granularity and Optimized Percentile","display_name":"Post-Training Quantization for Longformer with Chunkwise Quantization Granularity and Optimized Percentile","publication_year":2022,"publication_date":"2022-04-22","ids":{"openalex":"https://openalex.org/W4291908477","doi":"https://doi.org/10.1109/icccs55155.2022.9846198"},"language":"en","primary_location":{"id":"doi:10.1109/icccs55155.2022.9846198","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icccs55155.2022.9846198","pdf_url":null,"source":{"id":"https://openalex.org/S4363608130","display_name":"2022 7th International Conference on Computer and Communication Systems (ICCCS)","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":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 7th International Conference on Computer and Communication Systems (ICCCS)","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5101837124","display_name":"Qibin Chen","orcid":"https://orcid.org/0000-0001-5923-8345"},"institutions":[{"id":"https://openalex.org/I4210144143","display_name":"Inspur (China)","ror":"https://ror.org/0474p4r72","country_code":"CN","type":"company","lineage":["https://openalex.org/I4210144143"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Qibin Chen","raw_affiliation_strings":["Inspur Academy of Science and Technology"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Inspur Academy of Science and Technology","institution_ids":["https://openalex.org/I4210144143"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5028581745","display_name":"Yijin Teng","orcid":null},"institutions":[{"id":"https://openalex.org/I4210144143","display_name":"Inspur (China)","ror":"https://ror.org/0474p4r72","country_code":"CN","type":"company","lineage":["https://openalex.org/I4210144143"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yijin Teng","raw_affiliation_strings":["Inspur Electronic Information Industry Co., Ltd"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Inspur Electronic Information Industry Co., Ltd","institution_ids":["https://openalex.org/I4210144143"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100323546","display_name":"Hui Zhang","orcid":"https://orcid.org/0000-0003-2569-1824"},"institutions":[{"id":"https://openalex.org/I4210144143","display_name":"Inspur (China)","ror":"https://ror.org/0474p4r72","country_code":"CN","type":"company","lineage":["https://openalex.org/I4210144143"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hui Zhang","raw_affiliation_strings":["Inspur Academy of Science and Technology"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Inspur Academy of Science and Technology","institution_ids":["https://openalex.org/I4210144143"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5066407787","display_name":"Kai Jiang","orcid":"https://orcid.org/0009-0008-8053-3443"},"institutions":[{"id":"https://openalex.org/I4210144143","display_name":"Inspur (China)","ror":"https://ror.org/0474p4r72","country_code":"CN","type":"company","lineage":["https://openalex.org/I4210144143"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Kai Jiang","raw_affiliation_strings":["Inspur Academy of Science and Technology"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Inspur Academy of Science and Technology","institution_ids":["https://openalex.org/I4210144143"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5001056903","display_name":"Qiang Duan","orcid":"https://orcid.org/0000-0001-7832-1937"},"institutions":[{"id":"https://openalex.org/I4210144143","display_name":"Inspur (China)","ror":"https://ror.org/0474p4r72","country_code":"CN","type":"company","lineage":["https://openalex.org/I4210144143"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qiang Duan","raw_affiliation_strings":["Inspur Academy of Science and Technology"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Inspur Academy of Science and Technology","institution_ids":["https://openalex.org/I4210144143"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100372201","display_name":"Xue Li","orcid":"https://orcid.org/0000-0002-4515-6792"},"institutions":[{"id":"https://openalex.org/I4210144143","display_name":"Inspur (China)","ror":"https://ror.org/0474p4r72","country_code":"CN","type":"company","lineage":["https://openalex.org/I4210144143"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xue Li","raw_affiliation_strings":["Inspur Academy of Science and Technology"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Inspur Academy of Science and Technology","institution_ids":["https://openalex.org/I4210144143"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5107657414","display_name":"Xinxin Zhao","orcid":"https://orcid.org/0000-0002-9673-3967"},"institutions":[{"id":"https://openalex.org/I4210144143","display_name":"Inspur (China)","ror":"https://ror.org/0474p4r72","country_code":"CN","type":"company","lineage":["https://openalex.org/I4210144143"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xinxin Zhao","raw_affiliation_strings":["Inspur Academy of Science and Technology"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Inspur Academy of Science and Technology","institution_ids":["https://openalex.org/I4210144143"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100448653","display_name":"Rui Li","orcid":"https://orcid.org/0000-0003-4372-1791"},"institutions":[{"id":"https://openalex.org/I4210144143","display_name":"Inspur (China)","ror":"https://ror.org/0474p4r72","country_code":"CN","type":"company","lineage":["https://openalex.org/I4210144143"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Rui Li","raw_affiliation_strings":["Inspur Academy of Science and Technology"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Inspur Academy of Science and Technology","institution_ids":["https://openalex.org/I4210144143"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":8,"corresponding_author_ids":["https://openalex.org/A5101837124"],"corresponding_institution_ids":["https://openalex.org/I4210144143"],"apc_list":null,"apc_paid":null,"fwci":0.1193,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.39785633,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"27","last_page":"31"},"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":0.9966999888420105,"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":0.9966999888420105,"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":0.993399977684021,"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/T11714","display_name":"Multimodal Machine Learning Applications","score":0.988099992275238,"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/quantization","display_name":"Quantization (signal processing)","score":0.779563307762146},{"id":"https://openalex.org/keywords/granularity","display_name":"Granularity","score":0.642876148223877},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5880052447319031},{"id":"https://openalex.org/keywords/transformer","display_name":"Transformer","score":0.559760332107544},{"id":"https://openalex.org/keywords/linde\u2013buzo\u2013gray-algorithm","display_name":"Linde\u2013Buzo\u2013Gray algorithm","score":0.4674813151359558},{"id":"https://openalex.org/keywords/trellis-quantization","display_name":"Trellis quantization","score":0.4503284692764282},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.4343729615211487},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.3618733286857605},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.35994771122932434},{"id":"https://openalex.org/keywords/image-processing","display_name":"Image processing","score":0.2027917206287384},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.13957124948501587},{"id":"https://openalex.org/keywords/electrical-engineering","display_name":"Electrical engineering","score":0.09518247842788696},{"id":"https://openalex.org/keywords/image-compression","display_name":"Image compression","score":0.08088177442550659}],"concepts":[{"id":"https://openalex.org/C28855332","wikidata":"https://www.wikidata.org/wiki/Q198099","display_name":"Quantization (signal processing)","level":2,"score":0.779563307762146},{"id":"https://openalex.org/C177774035","wikidata":"https://www.wikidata.org/wiki/Q1246948","display_name":"Granularity","level":2,"score":0.642876148223877},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5880052447319031},{"id":"https://openalex.org/C66322947","wikidata":"https://www.wikidata.org/wiki/Q11658","display_name":"Transformer","level":3,"score":0.559760332107544},{"id":"https://openalex.org/C93372532","wikidata":"https://www.wikidata.org/wiki/Q6552455","display_name":"Linde\u2013Buzo\u2013Gray algorithm","level":3,"score":0.4674813151359558},{"id":"https://openalex.org/C5317259","wikidata":"https://www.wikidata.org/wiki/Q4462361","display_name":"Trellis quantization","level":5,"score":0.4503284692764282},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4343729615211487},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.3618733286857605},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.35994771122932434},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.2027917206287384},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.13957124948501587},{"id":"https://openalex.org/C119599485","wikidata":"https://www.wikidata.org/wiki/Q43035","display_name":"Electrical engineering","level":1,"score":0.09518247842788696},{"id":"https://openalex.org/C13481523","wikidata":"https://www.wikidata.org/wiki/Q412438","display_name":"Image compression","level":4,"score":0.08088177442550659},{"id":"https://openalex.org/C165801399","wikidata":"https://www.wikidata.org/wiki/Q25428","display_name":"Voltage","level":2,"score":0.0},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icccs55155.2022.9846198","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icccs55155.2022.9846198","pdf_url":null,"source":{"id":"https://openalex.org/S4363608130","display_name":"2022 7th International Conference on Computer and Communication Systems (ICCCS)","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":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 7th International Conference on Computer and Communication Systems (ICCCS)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Quality Education","id":"https://metadata.un.org/sdg/4","score":0.44999998807907104}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":32,"referenced_works":["https://openalex.org/W2741318576","https://openalex.org/W2896457183","https://openalex.org/W2912168260","https://openalex.org/W2963122961","https://openalex.org/W2963339397","https://openalex.org/W2981910001","https://openalex.org/W3015468748","https://openalex.org/W3017061195","https://openalex.org/W3033529678","https://openalex.org/W3094502228","https://openalex.org/W3137147200","https://openalex.org/W3170233084","https://openalex.org/W4287704453","https://openalex.org/W4287762561","https://openalex.org/W4288337707","https://openalex.org/W4288601266","https://openalex.org/W4292779060","https://openalex.org/W6742116046","https://openalex.org/W6755207826","https://openalex.org/W6758082782","https://openalex.org/W6758625146","https://openalex.org/W6762805369","https://openalex.org/W6769399607","https://openalex.org/W6776048684","https://openalex.org/W6776864782","https://openalex.org/W6778883912","https://openalex.org/W6779163297","https://openalex.org/W6779435783","https://openalex.org/W6781533629","https://openalex.org/W6784333009","https://openalex.org/W6788001715","https://openalex.org/W6791940793"],"related_works":["https://openalex.org/W2170664457","https://openalex.org/W2138957216","https://openalex.org/W2378566334","https://openalex.org/W3209251257","https://openalex.org/W2167923766","https://openalex.org/W2079524064","https://openalex.org/W4200591002","https://openalex.org/W2385227547","https://openalex.org/W2013302385","https://openalex.org/W2534922137"],"abstract_inverted_index":{"Transformer-based":[0],"models":[1],"have":[2,23],"been":[3,24],"verified":[4],"successful":[5],"in":[6,52],"many":[7,19],"natural":[8],"language":[9],"processing":[10],"and":[11,92,104],"computer":[12],"vision":[13],"tasks.":[14],"Because":[15],"of":[16,69],"computational":[17],"complexity,":[18],"efficient":[20,127],"transformer":[21],"variants":[22],"proposed,":[25],"including":[26],"the":[27,90,101,105,110,119],"Long-former,":[28],"which":[29],"aims":[30],"for":[31,45],"long":[32],"document":[33],"processing.":[34],"In":[35,113],"this":[36],"paper,":[37],"we":[38,54,80],"present":[39],"an":[40],"effective":[41],"post-training":[42],"quantization":[43,61,75,96,120],"scheme":[44,97,121],"Longformer.":[46],"Based":[47],"on":[48,100],"sliding":[49],"window":[50],"attention":[51],"Longformer,":[53],"propose":[55],"chunkwise":[56],"quantization.":[57],"It":[58],"can":[59,122],"decrease":[60],"noise":[62,76],"caused":[63,77],"by":[64,78,84],"significant":[65],"gaps":[66],"between":[67,89],"ranges":[68],"different":[70],"windows.":[71],"Besides,":[72],"to":[73,109,125],"reduce":[74],"clipping,":[79],"optimize":[81],"percentile":[82],"value":[83],"minimizing":[85],"mean":[86],"squared":[87],"error":[88],"original":[91],"quantized":[93],"matrixes.":[94],"The":[95],"is":[98,107,116],"evaluated":[99],"TriviaQA":[102],"task,":[103],"performance":[106],"comparable":[108],"float32":[111],"model.":[112],"addition,":[114],"it":[115],"important":[117],"that":[118],"be":[123],"extended":[124],"other":[126],"transformer-based":[128],"models.":[129]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1}],"updated_date":"2026-04-29T09:16:38.111599","created_date":"2025-10-10T00:00:00"}