{"id":"https://openalex.org/W4403486619","doi":"https://doi.org/10.3233/faia240953","title":"Large Language Model Prompting with Episodic Memory","display_name":"Large Language Model Prompting with Episodic Memory","publication_year":2024,"publication_date":"2024-10-16","ids":{"openalex":"https://openalex.org/W4403486619","doi":"https://doi.org/10.3233/faia240953"},"language":"en","primary_location":{"id":"doi:10.3233/faia240953","is_oa":true,"landing_page_url":"https://doi.org/10.3233/faia240953","pdf_url":null,"source":{"id":"https://openalex.org/S4210201731","display_name":"Frontiers in artificial intelligence and applications","issn_l":"0922-6389","issn":["0922-6389","1879-8314"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by-nc","license_id":"https://openalex.org/licenses/cc-by-nc","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Frontiers in Artificial Intelligence and Applications","raw_type":"book-chapter"},"type":"book-chapter","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"hybrid","oa_url":"https://doi.org/10.3233/faia240953","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5107264846","display_name":"Dai Do","orcid":null},"institutions":[{"id":"https://openalex.org/I149704539","display_name":"Deakin University","ror":"https://ror.org/02czsnj07","country_code":"AU","type":"education","lineage":["https://openalex.org/I149704539"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Dai Do","raw_affiliation_strings":["Applied AI Institute, Deakin University, Australia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Applied AI Institute, Deakin University, Australia","institution_ids":["https://openalex.org/I149704539"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101460496","display_name":"Quan Tran","orcid":"https://orcid.org/0009-0005-7360-9639"},"institutions":[{"id":"https://openalex.org/I4210167039","display_name":"ServiceNow (United States)","ror":"https://ror.org/05xr0bc04","country_code":"US","type":"company","lineage":["https://openalex.org/I4210167039"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Quan Tran","raw_affiliation_strings":["ServiceNow Research, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"ServiceNow Research, USA","institution_ids":["https://openalex.org/I4210167039"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5045540854","display_name":"Svetha Venkatesh","orcid":"https://orcid.org/0000-0001-8675-6631"},"institutions":[{"id":"https://openalex.org/I149704539","display_name":"Deakin University","ror":"https://ror.org/02czsnj07","country_code":"AU","type":"education","lineage":["https://openalex.org/I149704539"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Svetha Venkatesh","raw_affiliation_strings":["Applied AI Institute, Deakin University, Australia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Applied AI Institute, Deakin University, Australia","institution_ids":["https://openalex.org/I149704539"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101936199","display_name":"Hung L\u00ea","orcid":"https://orcid.org/0000-0002-3126-184X"},"institutions":[{"id":"https://openalex.org/I149704539","display_name":"Deakin University","ror":"https://ror.org/02czsnj07","country_code":"AU","type":"education","lineage":["https://openalex.org/I149704539"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Hung Le","raw_affiliation_strings":["Applied AI Institute, Deakin University, Australia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Applied AI Institute, Deakin University, Australia","institution_ids":["https://openalex.org/I149704539"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.3717,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.8335534,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":95,"max":96},"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/T10028","display_name":"Topic Modeling","score":0.7491999864578247,"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":0.7491999864578247,"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/episodic-memory","display_name":"Episodic memory","score":0.5676770806312561},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.46213358640670776},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.4498917758464813},{"id":"https://openalex.org/keywords/cognitive-psychology","display_name":"Cognitive psychology","score":0.37414756417274475},{"id":"https://openalex.org/keywords/cognitive-science","display_name":"Cognitive science","score":0.3294840157032013},{"id":"https://openalex.org/keywords/neuroscience","display_name":"Neuroscience","score":0.11631754040718079},{"id":"https://openalex.org/keywords/cognition","display_name":"Cognition","score":0.07534152269363403}],"concepts":[{"id":"https://openalex.org/C88576662","wikidata":"https://www.wikidata.org/wiki/Q18646","display_name":"Episodic memory","level":3,"score":0.5676770806312561},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.46213358640670776},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.4498917758464813},{"id":"https://openalex.org/C180747234","wikidata":"https://www.wikidata.org/wiki/Q23373","display_name":"Cognitive psychology","level":1,"score":0.37414756417274475},{"id":"https://openalex.org/C188147891","wikidata":"https://www.wikidata.org/wiki/Q147638","display_name":"Cognitive science","level":1,"score":0.3294840157032013},{"id":"https://openalex.org/C169760540","wikidata":"https://www.wikidata.org/wiki/Q207011","display_name":"Neuroscience","level":1,"score":0.11631754040718079},{"id":"https://openalex.org/C169900460","wikidata":"https://www.wikidata.org/wiki/Q2200417","display_name":"Cognition","level":2,"score":0.07534152269363403}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.3233/faia240953","is_oa":true,"landing_page_url":"https://doi.org/10.3233/faia240953","pdf_url":null,"source":{"id":"https://openalex.org/S4210201731","display_name":"Frontiers in artificial intelligence and applications","issn_l":"0922-6389","issn":["0922-6389","1879-8314"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by-nc","license_id":"https://openalex.org/licenses/cc-by-nc","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Frontiers in Artificial Intelligence and Applications","raw_type":"book-chapter"},{"id":"pmh:oai:figshare.com:article/27617046","is_oa":true,"landing_page_url":null,"pdf_url":null,"source":{"id":"https://openalex.org/S4377196282","display_name":"Figshare","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4210132348","host_organization_name":"Figshare (United Kingdom)","host_organization_lineage":["https://openalex.org/I4210132348"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-nc","license_id":"https://openalex.org/licenses/cc-by-nc","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Text"}],"best_oa_location":{"id":"doi:10.3233/faia240953","is_oa":true,"landing_page_url":"https://doi.org/10.3233/faia240953","pdf_url":null,"source":{"id":"https://openalex.org/S4210201731","display_name":"Frontiers in artificial intelligence and applications","issn_l":"0922-6389","issn":["0922-6389","1879-8314"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by-nc","license_id":"https://openalex.org/licenses/cc-by-nc","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Frontiers in Artificial Intelligence and Applications","raw_type":"book-chapter"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"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/W2097335136","https://openalex.org/W2032630612"],"abstract_inverted_index":{"Prompt":[0],"optimization":[1,51,71,85],"is":[2,74],"essential":[3],"for":[4,49,121,181],"enhancing":[5],"the":[6,35,38,106,112,117,127,131,136,143],"performance":[7],"of":[8,16,25,98,102,119],"Large":[9],"Language":[10,18],"Models":[11],"(LLMs)":[12],"in":[13,23,41,142,161],"a":[14,68,87],"range":[15],"Natural":[17],"Processing":[19],"(NLP)":[20],"tasks,":[21,175],"particularly":[22],"scenarios":[24],"few-shot":[26,45,103],"learning":[27],"where":[28],"training":[29,140],"examples":[30,120,141],"are":[31,52],"incorporated":[32],"directly":[33],"into":[34],"prompt.":[36],"Despite":[37],"growing":[39],"interest":[40],"optimizing":[42],"prompts":[43],"with":[44,64],"examples,":[46,104],"existing":[47],"methods":[48,180],"prompt":[50,70,84],"often":[53],"resource-intensive":[54],"or":[55],"perform":[56],"inadequately.":[57],"In":[58,111],"this":[59],"work,":[60],"we":[61,115],"propose":[62],"PrOmpting":[63],"Episodic":[65],"Memory":[66],"(POEM),":[67],"novel":[69],"technique":[72],"that":[73,129,149],"simple,":[75],"efficient,":[76],"and":[77,105,156],"demonstrates":[78],"strong":[79],"generalization":[80],"capabilities.":[81],"We":[82],"approach":[83,168],"as":[86],"Reinforcement":[88],"Learning":[89],"(RL)":[90],"challenge,":[91],"using":[92],"episodic":[93,144],"memory":[94],"to":[95,171],"archive":[96],"combinations":[97],"input":[99],"data,":[100],"permutations":[101],"rewards":[107,134],"observed":[108],"during":[109],"training.":[110],"testing":[113],"phase,":[114],"optimize":[116],"sequence":[118,128],"each":[122],"test":[123],"query":[124],"by":[125,158],"selecting":[126],"yields":[130],"highest":[132],"total":[133],"from":[135],"top-k":[137],"most":[138],"similar":[139],"memory.":[145],"Our":[146],"results":[147],"show":[148],"POEM":[150],"outperforms":[151],"recent":[152],"techniques":[153],"like":[154],"TEMPERA":[155],"RLPrompt":[157],"over":[159],"5.3%":[160],"various":[162],"text":[163],"classification":[164],"tasks.":[165],"Furthermore,":[166],"our":[167],"adapts":[169],"well":[170],"broader":[172],"language":[173],"understanding":[174],"consistently":[176],"outperforming":[177],"conventional":[178],"heuristic":[179],"ordering":[182],"examples.":[183]},"counts_by_year":[{"year":2025,"cited_by_count":2}],"updated_date":"2026-05-21T06:26:12.895304","created_date":"2025-10-10T00:00:00"}
