{"id":"https://openalex.org/W7137985142","doi":"https://doi.org/10.1609/aaai.v40i36.40310","title":"Mnemosyne: Accelerating Multi-Hop Question Answering via Cache Hit Order Fitting","display_name":"Mnemosyne: Accelerating Multi-Hop Question Answering via Cache Hit Order Fitting","publication_year":2026,"publication_date":"2026-03-14","ids":{"openalex":"https://openalex.org/W7137985142","doi":"https://doi.org/10.1609/aaai.v40i36.40310"},"language":null,"primary_location":{"id":"doi:10.1609/aaai.v40i36.40310","is_oa":true,"landing_page_url":"https://doi.org/10.1609/aaai.v40i36.40310","pdf_url":"https://ojs.aaai.org/index.php/AAAI/article/download/40310/44271","source":{"id":"https://openalex.org/S4210191458","display_name":"Proceedings of the AAAI Conference on Artificial Intelligence","issn_l":"2159-5399","issn":["2159-5399","2374-3468"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/P4310320058","host_organization_name":"Association for the Advancement of Artificial Intelligence","host_organization_lineage":["https://openalex.org/P4310320058"],"host_organization_lineage_names":["Association for the Advancement of Artificial Intelligence"],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the AAAI Conference on Artificial Intelligence","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"diamond","oa_url":"https://ojs.aaai.org/index.php/AAAI/article/download/40310/44271","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5129747373","display_name":"Haizhou Du","orcid":null},"institutions":[{"id":"https://openalex.org/I23632641","display_name":"Shanghai University of Electric Power","ror":"https://ror.org/02w4tny03","country_code":"CN","type":"education","lineage":["https://openalex.org/I23632641"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Haizhou Du","raw_affiliation_strings":["Shanghai University of Electric Power"],"affiliations":[{"raw_affiliation_string":"Shanghai University of Electric Power","institution_ids":["https://openalex.org/I23632641"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5011692646","display_name":"Jiujiu Li","orcid":null},"institutions":[{"id":"https://openalex.org/I23632641","display_name":"Shanghai University of Electric Power","ror":"https://ror.org/02w4tny03","country_code":"CN","type":"education","lineage":["https://openalex.org/I23632641"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jiujiu Li","raw_affiliation_strings":["Shanghai University of Electric Power"],"affiliations":[{"raw_affiliation_string":"Shanghai University of Electric Power","institution_ids":["https://openalex.org/I23632641"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5129644288","display_name":"Dongyang Li","orcid":null},"institutions":[{"id":"https://openalex.org/I23632641","display_name":"Shanghai University of Electric Power","ror":"https://ror.org/02w4tny03","country_code":"CN","type":"education","lineage":["https://openalex.org/I23632641"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Dongyang Li","raw_affiliation_strings":["Shanghai University of Electric Power"],"affiliations":[{"raw_affiliation_string":"Shanghai University of Electric Power","institution_ids":["https://openalex.org/I23632641"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5079864048","display_name":"Luobin Huang","orcid":"https://orcid.org/0009-0001-9994-1382"},"institutions":[{"id":"https://openalex.org/I23632641","display_name":"Shanghai University of Electric Power","ror":"https://ror.org/02w4tny03","country_code":"CN","type":"education","lineage":["https://openalex.org/I23632641"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Luobin Huang","raw_affiliation_strings":["Shanghai University of Electric Power"],"affiliations":[{"raw_affiliation_string":"Shanghai University of Electric Power","institution_ids":["https://openalex.org/I23632641"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5121758323","display_name":"Lisheng Wang","orcid":null},"institutions":[{"id":"https://openalex.org/I23632641","display_name":"Shanghai University of Electric Power","ror":"https://ror.org/02w4tny03","country_code":"CN","type":"education","lineage":["https://openalex.org/I23632641"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lisheng Wang","raw_affiliation_strings":["Shanghai University of Electric Power"],"affiliations":[{"raw_affiliation_string":"Shanghai University of Electric Power","institution_ids":["https://openalex.org/I23632641"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5129747373"],"corresponding_institution_ids":["https://openalex.org/I23632641"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":true,"cited_by_count":0,"citation_normalized_percentile":{"value":0.19925413,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"40","issue":"36","first_page":"30557","last_page":"30565"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10028","display_name":"Topic Modeling","score":0.4223000109195709,"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":0.4223000109195709,"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/T10286","display_name":"Information Retrieval and Search Behavior","score":0.36000001430511475,"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"}},{"id":"https://openalex.org/T11273","display_name":"Advanced Graph Neural Networks","score":0.032600000500679016,"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/cache","display_name":"Cache","score":0.771399974822998},{"id":"https://openalex.org/keywords/question-answering","display_name":"Question answering","score":0.7020999789237976},{"id":"https://openalex.org/keywords/latency","display_name":"Latency (audio)","score":0.5123999714851379},{"id":"https://openalex.org/keywords/focus","display_name":"Focus (optics)","score":0.48579999804496765},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.48179998993873596},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.46399998664855957},{"id":"https://openalex.org/keywords/matching","display_name":"Matching (statistics)","score":0.4447000026702881},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.4230000078678131}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8704000115394592},{"id":"https://openalex.org/C115537543","wikidata":"https://www.wikidata.org/wiki/Q165596","display_name":"Cache","level":2,"score":0.771399974822998},{"id":"https://openalex.org/C44291984","wikidata":"https://www.wikidata.org/wiki/Q1074173","display_name":"Question answering","level":2,"score":0.7020999789237976},{"id":"https://openalex.org/C82876162","wikidata":"https://www.wikidata.org/wiki/Q17096504","display_name":"Latency (audio)","level":2,"score":0.5123999714851379},{"id":"https://openalex.org/C192209626","wikidata":"https://www.wikidata.org/wiki/Q190909","display_name":"Focus (optics)","level":2,"score":0.48579999804496765},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.48179998993873596},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.46399998664855957},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.4546999931335449},{"id":"https://openalex.org/C165064840","wikidata":"https://www.wikidata.org/wiki/Q1321061","display_name":"Matching (statistics)","level":2,"score":0.4447000026702881},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.4230000078678131},{"id":"https://openalex.org/C182306322","wikidata":"https://www.wikidata.org/wiki/Q1779371","display_name":"Order (exchange)","level":2,"score":0.3614000082015991},{"id":"https://openalex.org/C38556500","wikidata":"https://www.wikidata.org/wiki/Q13404475","display_name":"Cache algorithms","level":4,"score":0.32519999146461487},{"id":"https://openalex.org/C189783530","wikidata":"https://www.wikidata.org/wiki/Q352090","display_name":"CPU cache","level":3,"score":0.3151000142097473},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.2992999851703644},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.28349998593330383},{"id":"https://openalex.org/C175154964","wikidata":"https://www.wikidata.org/wiki/Q380077","display_name":"Task analysis","level":3,"score":0.2741999924182892},{"id":"https://openalex.org/C2164484","wikidata":"https://www.wikidata.org/wiki/Q5170150","display_name":"Core (optical fiber)","level":2,"score":0.265500009059906},{"id":"https://openalex.org/C67186912","wikidata":"https://www.wikidata.org/wiki/Q367664","display_name":"Data modeling","level":2,"score":0.25589999556541443},{"id":"https://openalex.org/C184337299","wikidata":"https://www.wikidata.org/wiki/Q1437428","display_name":"Semantics (computer science)","level":2,"score":0.2515999972820282},{"id":"https://openalex.org/C2778493491","wikidata":"https://www.wikidata.org/wiki/Q7449072","display_name":"Semantic matching","level":3,"score":0.25040000677108765}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1609/aaai.v40i36.40310","is_oa":true,"landing_page_url":"https://doi.org/10.1609/aaai.v40i36.40310","pdf_url":"https://ojs.aaai.org/index.php/AAAI/article/download/40310/44271","source":{"id":"https://openalex.org/S4210191458","display_name":"Proceedings of the AAAI Conference on Artificial Intelligence","issn_l":"2159-5399","issn":["2159-5399","2374-3468"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/P4310320058","host_organization_name":"Association for the Advancement of Artificial Intelligence","host_organization_lineage":["https://openalex.org/P4310320058"],"host_organization_lineage_names":["Association for the Advancement of Artificial Intelligence"],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the AAAI Conference on Artificial Intelligence","raw_type":"journal-article"}],"best_oa_location":{"id":"doi:10.1609/aaai.v40i36.40310","is_oa":true,"landing_page_url":"https://doi.org/10.1609/aaai.v40i36.40310","pdf_url":"https://ojs.aaai.org/index.php/AAAI/article/download/40310/44271","source":{"id":"https://openalex.org/S4210191458","display_name":"Proceedings of the AAAI Conference on Artificial Intelligence","issn_l":"2159-5399","issn":["2159-5399","2374-3468"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/P4310320058","host_organization_name":"Association for the Advancement of Artificial Intelligence","host_organization_lineage":["https://openalex.org/P4310320058"],"host_organization_lineage_names":["Association for the Advancement of Artificial Intelligence"],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the AAAI Conference on Artificial Intelligence","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G1276829693","display_name":null,"funder_award_id":"Shanghai","funder_id":"https://openalex.org/F4320321881","funder_display_name":"Shanghai Municipal Education Commission"}],"funders":[{"id":"https://openalex.org/F4320321881","display_name":"Shanghai Municipal Education Commission","ror":"https://ror.org/05tewj457"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W7137985142.pdf","grobid_xml":"https://content.openalex.org/works/W7137985142.grobid-xml"},"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"Multi-Hop":[0],"Question":[1],"Answering":[2],"(MHQA)":[3],"requires":[4],"step-by-step":[5],"reasoning":[6,31],"across":[7],"multiple":[8,123],"pieces":[9],"of":[10,25,85,103],"information":[11],"to":[12,69,91,116,122],"answer":[13,153],"complex":[14],"questions.":[15],"The":[16,109],"cache-aided":[17],"Retrieval-Augmented":[18],"Generation":[19],"(RAG)":[20],"can":[21,132],"accelerate":[22,70],"the":[23,40,45,48,71,83,95,101,118],"process":[24],"external":[26],"knowledge":[27],"retrieval":[28,107,148],"at":[29],"each":[30],"step":[32],"for":[33,74],"MHQA.":[34,75],"However,":[35],"existing":[36],"methods":[37],"focus":[38],"on":[39,138],"internal":[41],"structure":[42],"and":[43,52,162],"ignore":[44],"misalignment":[46],"between":[47,160],"queries\u2019":[49],"arrival":[50,87],"order":[51,65,79,84],"cache":[53,63,96],"hit":[54,64,97,120],"order.":[55],"To":[56],"tackle":[57],"this,":[58],"we":[59],"propose":[60],"Mnemosyne,":[61],"a":[62,157],"fitting":[66,80],"method":[67],"designed":[68,115],"RAG":[72],"progress":[73],"Specifically,":[76],"our":[77],"cache-aware":[78],"strategy":[81],"adjusts":[82],"queries":[86],"via":[88],"graph":[89],"reordering":[90],"better":[92],"align":[93],"with":[94],"order,":[98],"thereby":[99],"reducing":[100],"likelihood":[102],"failed":[104],"or":[105],"unproductive":[106],"attempts.":[108],"multi-granularity":[110],"caching":[111],"storage":[112],"mechanism":[113],"is":[114],"loosen":[117],"strict":[119],"condition":[121],"similar":[124],"semantic":[125],"matching":[126],"modes,":[127],"facilitating":[128],"that":[129,144],"relevant":[130],"documents":[131],"still":[133],"be":[134],"retrieved.":[135],"Experiments":[136],"conducted":[137],"four":[139],"multi-hop":[140],"QA":[141],"datasets":[142],"demonstrate":[143],"Mnemosyne":[145],"effectively":[146],"reduces":[147],"latency":[149],"while":[150],"enhancing":[151],"task":[152],"F1":[154],"score,":[155],"achieving":[156],"superior":[158],"trade-off":[159],"efficiency":[161],"effectiveness.":[163]},"counts_by_year":[],"updated_date":"2026-04-03T22:45:19.894376","created_date":"2026-03-18T00:00:00"}
