{"id":"https://openalex.org/W7133199876","doi":"https://doi.org/10.52202/075280-1899","title":"Lift Yourself Up: Retrieval-augmented Text Generation with Self-Memory","display_name":"Lift Yourself Up: Retrieval-augmented Text Generation with Self-Memory","publication_year":2023,"publication_date":"2023-01-01","ids":{"openalex":"https://openalex.org/W7133199876","doi":"https://doi.org/10.52202/075280-1899"},"language":"en","primary_location":{"id":"doi:10.52202/075280-1899","doi":"https://doi.org/10.52202/075280-1899","is_oa":false,"landing_page_url":"https://doi.org/10.52202/075280-1899","pdf_url":null,"source":{"id":"https://openalex.org/S4363606243","display_name":"neural information processing systems","issn_l":"1049-5258","issn":["1049-5258"],"is_oa":false,"is_in_doaj":false,"is_core":true,"listed_in":["cwts-core","norway-2"],"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":"Advances in Neural Information Processing Systems 36","raw_type":"proceedings-article"},"volume":null,"type":"conference-paper","indexed_in":["arxiv","crossref","datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/2305.02437","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5127850945","display_name":"Xiuying Chen","orcid":null,"observed_orcids":[]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Xin Cheng","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5016010801","display_name":"Di Luo","orcid":"https://orcid.org/0009-0004-9353-5836","observed_orcids":["https://orcid.org/0009-0004-9353-5836"]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Di Luo","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5146748662","display_name":"Xiuying Chen","orcid":null,"observed_orcids":[]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Xiuying Chen","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5127806026","display_name":"Lemao Liu","orcid":null,"observed_orcids":[]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Lemao Liu","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5125768494","display_name":"Dongyan Zhao","orcid":null,"observed_orcids":[]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Dongyan Zhao","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5127804485","display_name":"Rui Yan","orcid":null,"observed_orcids":[]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Rui Yan","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":7.2786,"has_fulltext":true,"cited_by_count":41,"citation_normalized_percentile":{"value":0.9800562,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":93,"max":100},"biblio":{"volume":null,"issue":null,"first_page":"43780","last_page":"43799"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10028","display_name":"Topic Modeling","score":0.9092000126838684,"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":0.9092000126838684,"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/T10181","display_name":"Natural Language Processing Techniques","score":0.023900000378489494,"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":0.0203000009059906,"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/retrieval-augmented-generation","display_name":"retrieval-augmented generation","score":0.9769999980926514},{"id":"https://openalex.org/keywords/self-memory","display_name":"self-memory","score":0.8870000243186951},{"id":"https://openalex.org/keywords/text-generation","display_name":"text generation","score":0.8140000104904175},{"id":"https://openalex.org/keywords/memory-retrieval","display_name":"memory retrieval","score":0.3779999911785126},{"id":"https://openalex.org/keywords/large-language-models","display_name":"large language models","score":0.7129999995231628}],"concepts":[{"id":"https://openalex.org/C139002025","wikidata":"https://www.wikidata.org/wiki/Q3001212","display_name":"Lift (data mining)","level":2,"score":0.525600016117096},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5163999795913696},{"id":"https://openalex.org/C2985684807","wikidata":"https://www.wikidata.org/wiki/Q1513879","display_name":"Text generation","level":2,"score":0.3375999927520752},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.31029999256134033},{"id":"https://openalex.org/C199639397","wikidata":"https://www.wikidata.org/wiki/Q1788588","display_name":"Engineering drawing","level":1,"score":0.3012000024318695},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.29010000824928284},{"id":"https://openalex.org/C78519656","wikidata":"https://www.wikidata.org/wiki/Q101333","display_name":"Mechanical engineering","level":1,"score":0.24709999561309814},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.22840000689029694},{"id":"https://openalex.org/C44154836","wikidata":"https://www.wikidata.org/wiki/Q45045","display_name":"Simulation","level":1,"score":0.22380000352859497},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.20520000159740448}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.52202/075280-1899","doi":"https://doi.org/10.52202/075280-1899","is_oa":false,"landing_page_url":"https://doi.org/10.52202/075280-1899","pdf_url":null,"source":{"id":"https://openalex.org/S4363606243","display_name":"neural information processing systems","issn_l":"1049-5258","issn":["1049-5258"],"is_oa":false,"is_in_doaj":false,"is_core":true,"listed_in":["cwts-core","norway-2"],"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":"Advances in Neural Information Processing Systems 36","raw_type":"proceedings-article"},{"id":"pmh:oai:arXiv.org:2305.02437","doi":null,"is_oa":true,"landing_page_url":"http://arxiv.org/abs/2305.02437","pdf_url":"https://arxiv.org/pdf/2305.02437","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,"listed_in":[],"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":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},{"id":"doi:10.48550/arxiv.2305.02437","doi":"https://doi.org/10.48550/arxiv.2305.02437","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2305.02437","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,"listed_in":[],"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"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:2305.02437","doi":null,"is_oa":true,"landing_page_url":"http://arxiv.org/abs/2305.02437","pdf_url":"https://arxiv.org/pdf/2305.02437","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,"listed_in":[],"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":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},"sustainable_development_goals":[],"sustainable_development_goals_aurora":[],"study_designs":[],"awards":[{"id":"https://openalex.org/G53857530","display_name":null,"funder_award_id":"62122089","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320335777","display_name":"National Key Research and Development Program of China","ror":null}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W7133199876.pdf","grobid_xml":"https://content.openalex.org/works/W7133199876.grobid-xml"},"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W7138124530","https://openalex.org/W4392271287","https://openalex.org/W4226069413","https://openalex.org/W4284670538","https://openalex.org/W4408146339","https://openalex.org/W4393212091","https://openalex.org/W4416035894","https://openalex.org/W4404782883","https://openalex.org/W4416199112","https://openalex.org/W4376312546"],"abstract_inverted_index":{"With":[0],"direct":[1],"access":[2],"to":[3,49,102,113,128,134,210],"human-written":[4],"reference":[5],"as":[6,32,117,135],"memory,":[7,85],"retrieval-augmented":[8,100,195],"generation":[9,20,81,122,150,163,196],"has":[10],"achieved":[11],"much":[12],"progress":[13],"in":[14,176,179,193,206],"a":[15,88,99,110],"wide":[16],"range":[17],"of":[18,60,76,144,191,203],"text":[19,149,156],"tasks.":[21],"Since":[22],"better":[23,28,80,84],"memory":[24,39,43,66,106,111,118],"would":[25],"typically":[26],"prompt":[27],"generation~(we":[29],"define":[30],"this":[31,53,70,94],"primal":[33,78],"problem).":[34],"The":[35],"traditional":[36],"approach":[37,172],"for":[38,119,137,216],"retrieval":[40],"involves":[41],"selecting":[42],"that":[44],"exhibits":[45],"the":[46,50,58,61,74,77,120,126,142,189,207],"highest":[47],"similarity":[48],"input.":[51],"However,":[52],"method":[54],"is":[55,67],"constrained":[56],"by":[57,72,96],"quality":[59],"fixed":[62],"corpus":[63],"from":[64],"which":[65,92],"retrieved.":[68],"In":[69],"paper,":[71],"exploring":[73],"duality":[75],"problem:":[79],"also":[82],"prompts":[83],"we":[86,199],"propose":[87],"novel":[89],"framework,":[90],"selfmem,":[91],"addresses":[93],"limitation":[95],"iteratively":[97],"employing":[98],"generator":[101],"create":[103],"an":[104],"unbounded":[105],"pool":[107],"and":[108,158,168,184,213],"using":[109],"selector":[112],"choose":[114],"one":[115],"output":[116],"subsequent":[121],"round.":[123],"This":[124],"enables":[125],"model":[127,167],"leverage":[129],"its":[130],"own":[131],"output,":[132],"referred":[133],"self-memory,":[136],"improved":[138],"generation.":[139],"We":[140],"evaluate":[141],"effectiveness":[143],"selfmem":[145,208],"on":[146],"three":[147],"distinct":[148],"tasks:":[151],"neural":[152],"machine":[153],"translation,":[154],"abstractive":[155],"summarization,":[157],"dialogue":[159],"generation,":[160],"under":[161],"two":[162],"paradigms:":[164],"fine-tuned":[165],"small":[166],"few-shot":[169],"LLM.":[170],"Our":[171],"achieves":[173],"state-of-the-art":[174],"results":[175],"four":[177],"directions":[178],"JRC-Acquis,":[180],"XSum":[181],"(50.3":[182],"ROUGE-1),":[183,187],"BigPatent":[185],"(62.9":[186],"demonstrating":[188],"potential":[190],"self-memory":[192],"enhancing":[194],"models.":[197],"Furthermore,":[198],"conduct":[200],"thorough":[201],"analyses":[202],"each":[204],"component":[205],"framework":[209],"identify":[211],"bottlenecks":[212],"provide":[214],"insights":[215],"future":[217],"research.":[218]},"counts_by_year":[{"year":2026,"cited_by_count":11},{"year":2025,"cited_by_count":21},{"year":2024,"cited_by_count":7},{"year":2023,"cited_by_count":2}],"updated_date":"2026-10-21T09:56:26.102985","created_date":"2026-03-03T00:00:00"}
