{"id":"https://openalex.org/W7135042181","doi":"https://doi.org/10.1145/3776734.3794477","title":"Episodic Social Memory via Per-Episode LoRA Adapters for Social Robots","display_name":"Episodic Social Memory via Per-Episode LoRA Adapters for Social Robots","publication_year":2026,"publication_date":"2026-03-12","ids":{"openalex":"https://openalex.org/W7135042181","doi":"https://doi.org/10.1145/3776734.3794477"},"language":null,"primary_location":{"id":"doi:10.1145/3776734.3794477","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3776734.3794477","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Companion Proceedings of the 21st ACM/IEEE International Conference on Human-Robot Interaction","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/A5128849505","display_name":"Cristian-Marius Cringasu","orcid":null},"institutions":[{"id":"https://openalex.org/I61641377","display_name":"Universitatea Na\u021bional\u0103 de \u0218tiin\u021b\u0103 \u0219i Tehnologie Politehnica Bucure\u0219ti","ror":"https://ror.org/0558j5q12","country_code":"RO","type":"education","lineage":["https://openalex.org/I61641377"]}],"countries":["RO"],"is_corresponding":false,"raw_author_name":"Cristian-Marius Cringasu","raw_affiliation_strings":["National University of Science and Technology Politehnica Bucharest, Bucharest, Romania"],"raw_orcid":"https://orcid.org/0009-0009-8978-8124","affiliations":[{"raw_affiliation_string":"National University of Science and Technology Politehnica Bucharest, Bucharest, Romania","institution_ids":["https://openalex.org/I61641377"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5128867715","display_name":"Adriana Tapus","orcid":null},"institutions":[{"id":"https://openalex.org/I201181511","display_name":"\u00c9cole Nationale Sup\u00e9rieure de Techniques Avanc\u00e9es","ror":"https://ror.org/0309cs235","country_code":"FR","type":"education","lineage":["https://openalex.org/I201181511","https://openalex.org/I4210145102"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Adriana Tapus","raw_affiliation_strings":["ENSTA Paris, Paris, France"],"raw_orcid":"https://orcid.org/0000-0002-2793-4511","affiliations":[{"raw_affiliation_string":"ENSTA Paris, Paris, France","institution_ids":["https://openalex.org/I201181511"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.32334043,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"655","last_page":"659"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10709","display_name":"Social Robot Interaction and HRI","score":0.4009999930858612,"subfield":{"id":"https://openalex.org/subfields/3207","display_name":"Social Psychology"},"field":{"id":"https://openalex.org/fields/32","display_name":"Psychology"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},"topics":[{"id":"https://openalex.org/T10709","display_name":"Social Robot Interaction and HRI","score":0.4009999930858612,"subfield":{"id":"https://openalex.org/subfields/3207","display_name":"Social Psychology"},"field":{"id":"https://openalex.org/fields/32","display_name":"Psychology"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T10462","display_name":"Reinforcement Learning in Robotics","score":0.09749999642372131,"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/T11714","display_name":"Multimodal Machine Learning Applications","score":0.04830000177025795,"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/episodic-memory","display_name":"Episodic memory","score":0.4900999963283539},{"id":"https://openalex.org/keywords/robot","display_name":"Robot","score":0.4090000092983246},{"id":"https://openalex.org/keywords/social-robot","display_name":"Social robot","score":0.3977000117301941},{"id":"https://openalex.org/keywords/social-memory","display_name":"Social memory","score":0.2903999984264374},{"id":"https://openalex.org/keywords/human\u2013robot-interaction","display_name":"Human\u2013robot interaction","score":0.28940001130104065},{"id":"https://openalex.org/keywords/social-relation","display_name":"Social relation","score":0.27079999446868896}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5940999984741211},{"id":"https://openalex.org/C88576662","wikidata":"https://www.wikidata.org/wiki/Q18646","display_name":"Episodic memory","level":3,"score":0.4900999963283539},{"id":"https://openalex.org/C90509273","wikidata":"https://www.wikidata.org/wiki/Q11012","display_name":"Robot","level":2,"score":0.4090000092983246},{"id":"https://openalex.org/C162947575","wikidata":"https://www.wikidata.org/wiki/Q2005645","display_name":"Social robot","level":5,"score":0.3977000117301941},{"id":"https://openalex.org/C107457646","wikidata":"https://www.wikidata.org/wiki/Q207434","display_name":"Human\u2013computer interaction","level":1,"score":0.3910999894142151},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.35030001401901245},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.31369999051094055},{"id":"https://openalex.org/C46312422","wikidata":"https://www.wikidata.org/wiki/Q11024","display_name":"Communication","level":1,"score":0.2946999967098236},{"id":"https://openalex.org/C2992793958","wikidata":"https://www.wikidata.org/wiki/Q254217","display_name":"Social memory","level":2,"score":0.2903999984264374},{"id":"https://openalex.org/C145460709","wikidata":"https://www.wikidata.org/wiki/Q859951","display_name":"Human\u2013robot interaction","level":3,"score":0.28940001130104065},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.2750999927520752},{"id":"https://openalex.org/C130064352","wikidata":"https://www.wikidata.org/wiki/Q853725","display_name":"Social relation","level":2,"score":0.27079999446868896},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.2678000032901764},{"id":"https://openalex.org/C188147891","wikidata":"https://www.wikidata.org/wiki/Q147638","display_name":"Cognitive science","level":1,"score":0.265500009059906},{"id":"https://openalex.org/C180747234","wikidata":"https://www.wikidata.org/wiki/Q23373","display_name":"Cognitive psychology","level":1,"score":0.25459998846054077},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.2531999945640564},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.2515999972820282}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3776734.3794477","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3776734.3794477","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Companion Proceedings of the 21st ACM/IEEE International Conference on Human-Robot Interaction","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.6306004524230957,"id":"https://metadata.un.org/sdg/10","display_name":"Reduced inequalities"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":10,"referenced_works":["https://openalex.org/W1556726625","https://openalex.org/W1968566124","https://openalex.org/W2105216074","https://openalex.org/W2111040806","https://openalex.org/W2157936707","https://openalex.org/W2887260263","https://openalex.org/W3193558691","https://openalex.org/W4313037055","https://openalex.org/W4388182168","https://openalex.org/W4408327030"],"related_works":[],"abstract_inverted_index":{"Adapting":[0],"to":[1,34],"individual":[2],"preferences\u2014including":[3],"interpersonal":[4],"distance,":[5],"formality,":[6,100],"and":[7,60,90,103,111,118,123],"role":[8,104],"conventions,":[9],"is":[10],"essential":[11],"for":[12,20,99],"social":[13,22,47],"robots.":[14],"We":[15,39,70],"introduce":[16],"a":[17,44,51],"parameter-efficient":[18],"method":[19],"episodic":[21,82,119],"memory":[23],"that":[24,115],"stores":[25],"interaction-specific":[26],"norms":[27],"as":[28],"LoRA":[29,53,120],"adapters":[30],"applied":[31],"per":[32,55],"episode":[33,41,56,66],"an":[35],"open-source":[36],"dialogue":[37],"model.":[38],"encode":[40],"metadata":[42],"within":[43],"manually":[45],"defined":[46],"feature":[48],"space,":[49],"train":[50],"distinct":[52],"adapter":[54],"using":[57],"norm-consistent":[58],"responses,":[59],"at":[61],"inference":[62],"retrieve":[63],"the":[64,87],"nearest":[65],"by":[67],"embedding":[68],"similarity.":[69],"evaluate":[71],"four":[72],"configurations:":[73],"(1)":[74],"base":[75],"model":[76],"(no":[77],"memory),":[78],"(2)":[79],"RAG":[80,117],"with":[81],"text,":[83],"(3)":[84],"LoRA-only":[85],"(activating":[86],"retrieved":[88],"adapter),":[89],"(4)":[91],"combined":[92],"RAG+LoRA.":[93],"An":[94],"independent":[95],"LLM-as-judge":[96],"rates":[97],"outputs":[98],"tone,":[101],"proxemics,":[102],"alignment.":[105],"Preliminary":[106],"results":[107],"on":[108],"synthetic":[109],"proxemics":[110],"hierarchy":[112],"tasks":[113],"indicate":[114],"both":[116],"influence":[121],"behavior,":[122],"their":[124],"combination":[125],"produces":[126],"more":[127],"reliable,":[128],"user-tailored":[129],"responses":[130],"than":[131],"either":[132],"component":[133],"alone.":[134]},"counts_by_year":[],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2026-03-13T00:00:00"}