{"id":"https://openalex.org/W4412945599","doi":"https://doi.org/10.18653/v1/2025.acl-long.409","title":"Growing Through Experience: Scaling Episodic Grounding in Language Models","display_name":"Growing Through Experience: Scaling Episodic Grounding in Language Models","publication_year":2025,"publication_date":"2025-01-01","ids":{"openalex":"https://openalex.org/W4412945599","doi":"https://doi.org/10.18653/v1/2025.acl-long.409"},"language":"en","primary_location":{"id":"doi:10.18653/v1/2025.acl-long.409","doi":"https://doi.org/10.18653/v1/2025.acl-long.409","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/2025.acl-long.409","pdf_url":null,"source":{"id":"https://openalex.org/S4393915740","display_name":"Proceedings of the conference - Association for Computational Linguistics. Meeting","issn_l":"0736-587X","issn":["0736-587X"],"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":["norway-1"],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)","raw_type":"proceedings-article"},"volume":null,"type":"conference-paper","indexed_in":["arxiv","crossref","datacite"],"open_access":{"is_oa":true,"oa_status":"hybrid","oa_url":"https://doi.org/10.18653/v1/2025.acl-long.409","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5100390394","display_name":"Chunhui Zhang","orcid":"https://orcid.org/0009-0008-4157-7582","observed_orcids":["https://orcid.org/0009-0008-4157-7582","https://orcid.org/0000-0002-8589-0158"]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Chunhui Zhang","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":null,"display_name":"Sirui Wang","orcid":null,"observed_orcids":[]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Sirui Wang","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5006449247","display_name":"Zhongyu Ouyang","orcid":"https://orcid.org/0000-0002-4830-6768","observed_orcids":["https://orcid.org/0000-0002-4830-6768"]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Zhongyu Ouyang","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5072246587","display_name":"Xiangchi Yuan","orcid":"https://orcid.org/0000-0001-5270-4817","observed_orcids":["https://orcid.org/0000-0001-5270-4817"]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Xiangchi Yuan","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5035399743","display_name":"Soroush Vosoughi","orcid":"https://orcid.org/0000-0002-2564-8909","observed_orcids":["https://orcid.org/0000-0002-2564-8909"]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Soroush Vosoughi","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":0.0,"has_fulltext":true,"cited_by_count":0,"citation_normalized_percentile":{"value":0.16085251,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"8363","last_page":"8375"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10028","display_name":"Topic Modeling","score":0.41819998621940613,"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":0.41819998621940613,"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":0.23909999430179596,"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/T11307","display_name":"Domain Adaptation and Few-Shot Learning","score":0.06310000270605087,"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/language-models","display_name":"language models","score":0.8169999718666077},{"id":"https://openalex.org/keywords/episodic-memory","display_name":"episodic memory","score":0.6520000100135803},{"id":"https://openalex.org/keywords/scaling","display_name":"scaling","score":0.3409999907016754},{"id":"https://openalex.org/keywords/experiential-learning","display_name":"experiential learning","score":0.4519999921321869}],"concepts":[{"id":"https://openalex.org/C99844830","wikidata":"https://www.wikidata.org/wiki/Q102441924","display_name":"Scaling","level":2,"score":0.6630085110664368},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5935471653938293},{"id":"https://openalex.org/C168993435","wikidata":"https://www.wikidata.org/wiki/Q6501125","display_name":"Ground","level":2,"score":0.555139422416687},{"id":"https://openalex.org/C180747234","wikidata":"https://www.wikidata.org/wiki/Q23373","display_name":"Cognitive psychology","level":1,"score":0.3249048590660095},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.3248826861381531},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.23218107223510742},{"id":"https://openalex.org/C119599485","wikidata":"https://www.wikidata.org/wiki/Q43035","display_name":"Electrical engineering","level":1,"score":0.15186962485313416},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.14924150705337524},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.18653/v1/2025.acl-long.409","doi":"https://doi.org/10.18653/v1/2025.acl-long.409","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/2025.acl-long.409","pdf_url":null,"source":{"id":"https://openalex.org/S4393915740","display_name":"Proceedings of the conference - Association for Computational Linguistics. Meeting","issn_l":"0736-587X","issn":["0736-587X"],"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":["norway-1"],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)","raw_type":"proceedings-article"},{"id":"pmh:oai:arXiv.org:2506.01312","doi":null,"is_oa":true,"landing_page_url":"http://arxiv.org/abs/2506.01312","pdf_url":"https://arxiv.org/pdf/2506.01312","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.2506.01312","doi":"https://doi.org/10.48550/arxiv.2506.01312","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2506.01312","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":"doi:10.18653/v1/2025.acl-long.409","doi":"https://doi.org/10.18653/v1/2025.acl-long.409","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/2025.acl-long.409","pdf_url":null,"source":{"id":"https://openalex.org/S4393915740","display_name":"Proceedings of the conference - Association for Computational Linguistics. Meeting","issn_l":"0736-587X","issn":["0736-587X"],"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":["norway-1"],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)","raw_type":"proceedings-article"},"sustainable_development_goals":[],"study_designs":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W7133231263","https://openalex.org/W4416258442","https://openalex.org/W4399912408","https://openalex.org/W4416036474","https://openalex.org/W7154493470","https://openalex.org/W4399794239","https://openalex.org/W4408533170","https://openalex.org/W4379087254","https://openalex.org/W4415134397","https://openalex.org/W4403885100"],"abstract_inverted_index":{"Language":[0],"models":[1],"(LMs)":[2],"require":[3],"robust":[4],"episodic":[5,21,75,81,111],"grounding-the":[6],"capacity":[7],"to":[8,66,85],"learn":[9],"from":[10,83],"and":[11,27,47,126],"apply":[12],"past":[13],"experiences-to":[14],"excel":[15],"at":[16],"physical":[17],"planning":[18,125,153],"tasks.":[19,128],"Current":[20],"grounding":[22],"approaches":[23],"struggle":[24],"with":[25,99,151],"scalability":[26],"integration,":[28],"limiting":[29],"their":[30,58],"effectiveness,":[31],"especially":[32,138],"for":[33,95,147],"medium-sized":[34],"LMs":[35,40,120],"(7B":[36],"parameters).":[37],"While":[38],"larger":[39,86],"(70-405B":[41],"parameters)":[42],"possess":[43],"superior":[44],"hierarchical":[45],"representations":[46],"extensive":[48],"pre-trained":[49],"knowledge,":[50],"they":[51,62],"encounter":[52],"a":[53,72,100],"fundamental":[54],"scale":[55],"paradox:":[56],"despite":[57],"advanced":[59],"abstraction":[60],"capabilities,":[61],"lack":[63],"efficient":[64],"mechanisms":[65],"leverage":[67],"experience":[68,97],"streams.":[69],"We":[70],"propose":[71],"scalable":[73],"weak-to-strong":[74],"learning":[76],"framework":[77,89],"that":[78],"effectively":[79],"transfers":[80],"behaviors":[82],"smaller":[84],"LMs.":[87],"This":[88],"integrates":[90],"Monte":[91],"Carlo":[92],"tree":[93],"search":[94],"structured":[96],"collection":[98],"novel":[101],"distillation":[102],"method,":[103],"preserving":[104],"the":[105],"inherent":[106],"LM":[107,141],"capabilities":[108],"while":[109],"embedding":[110],"memory.":[112],"Experiments":[113],"demonstrate":[114],"our":[115],"method":[116],"surpasses":[117],"state-of-the-art":[118],"proprietary":[119],"by":[121],"3.45%":[122],"across":[123],"diverse":[124],"question-answering":[127],"Layer-wise":[129],"probing":[130],"further":[131],"indicates":[132],"significant":[133],"improvements":[134],"in":[135],"task":[136],"alignment,":[137],"within":[139],"deeper":[140],"layers,":[142],"highlighting":[143],"stable":[144],"generalization":[145],"even":[146],"previously":[148],"unseen":[149],"scenarios":[150],"increased":[152],"complexity-conditions":[154],"where":[155],"baseline":[156],"methods":[157],"degrade":[158],"markedly.":[159]},"counts_by_year":[],"updated_date":"2026-10-29T09:56:32.521200","created_date":"2025-10-10T00:00:00"}
