{"id":"https://openalex.org/W4412888946","doi":"https://doi.org/10.18653/v1/2025.findings-acl.55","title":"Improve Language Model and Brain Alignment via Associative Memory","display_name":"Improve Language Model and Brain Alignment via Associative Memory","publication_year":2025,"publication_date":"2025-01-01","ids":{"openalex":"https://openalex.org/W4412888946","doi":"https://doi.org/10.18653/v1/2025.findings-acl.55"},"language":"en","primary_location":{"id":"doi:10.18653/v1/2025.findings-acl.55","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/2025.findings-acl.55","pdf_url":"https://aclanthology.org/2025.findings-acl.55.pdf","source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Findings of the Association for Computational Linguistics: ACL 2025","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://aclanthology.org/2025.findings-acl.55.pdf","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5057105022","display_name":"Congchi Yin","orcid":"https://orcid.org/0000-0002-7381-0851"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Congchi Yin","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5002568596","display_name":"Yongpeng Zhang","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Yongpeng Zhang","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5073301735","display_name":"Xuyun Wen","orcid":"https://orcid.org/0000-0003-2230-8658"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Xuyun Wen","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5061435467","display_name":"Piji Li","orcid":"https://orcid.org/0000-0003-1474-3692"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Piji Li","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":null,"has_fulltext":true,"cited_by_count":0,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"986","last_page":"999"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10028","display_name":"Topic Modeling","score":0.5842999815940857,"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":0.5842999815940857,"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/computer-science","display_name":"Computer science","score":0.751751184463501},{"id":"https://openalex.org/keywords/associative-property","display_name":"Associative property","score":0.6661123633384705},{"id":"https://openalex.org/keywords/language-model","display_name":"Language model","score":0.5806009769439697},{"id":"https://openalex.org/keywords/content-addressable-memory","display_name":"Content-addressable memory","score":0.5229079127311707},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.4133499562740326},{"id":"https://openalex.org/keywords/cognitive-science","display_name":"Cognitive science","score":0.3897574543952942},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.37390822172164917},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.19317564368247986},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.16233763098716736},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.07079005241394043}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.751751184463501},{"id":"https://openalex.org/C159423971","wikidata":"https://www.wikidata.org/wiki/Q177251","display_name":"Associative property","level":2,"score":0.6661123633384705},{"id":"https://openalex.org/C137293760","wikidata":"https://www.wikidata.org/wiki/Q3621696","display_name":"Language model","level":2,"score":0.5806009769439697},{"id":"https://openalex.org/C53442348","wikidata":"https://www.wikidata.org/wiki/Q745101","display_name":"Content-addressable memory","level":3,"score":0.5229079127311707},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.4133499562740326},{"id":"https://openalex.org/C188147891","wikidata":"https://www.wikidata.org/wiki/Q147638","display_name":"Cognitive science","level":1,"score":0.3897574543952942},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.37390822172164917},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.19317564368247986},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.16233763098716736},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.07079005241394043},{"id":"https://openalex.org/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.18653/v1/2025.findings-acl.55","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/2025.findings-acl.55","pdf_url":"https://aclanthology.org/2025.findings-acl.55.pdf","source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Findings of the Association for Computational Linguistics: ACL 2025","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.18653/v1/2025.findings-acl.55","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/2025.findings-acl.55","pdf_url":"https://aclanthology.org/2025.findings-acl.55.pdf","source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Findings of the Association for Computational Linguistics: ACL 2025","raw_type":"proceedings-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G1909507932","display_name":null,"funder_award_id":"62106105","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G2394944468","display_name":null,"funder_award_id":"NJ2023032","funder_id":"https://openalex.org/F4320335787","funder_display_name":"Fundamental Research Funds for the Central Universities"},{"id":"https://openalex.org/G744526871","display_name":null,"funder_award_id":"No. NJ2023032","funder_id":"https://openalex.org/F4320335787","funder_display_name":"Fundamental Research Funds for the Central Universities"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320321605","display_name":"Government of Jiangsu Province","ror":"https://ror.org/004svx814"},{"id":"https://openalex.org/F4320322438","display_name":"Nanjing University of Aeronautics and Astronautics","ror":"https://ror.org/01scyh794"},{"id":"https://openalex.org/F4320322769","display_name":"Natural Science Foundation of Jiangsu Province","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320324852","display_name":"Nanjing University","ror":"https://ror.org/01rxvg760"},{"id":"https://openalex.org/F4320335787","display_name":"Fundamental Research Funds for the Central Universities","ror":null}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4412888946.pdf","grobid_xml":"https://content.openalex.org/works/W4412888946.grobid-xml"},"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W1492794944","https://openalex.org/W169603398","https://openalex.org/W2953297905","https://openalex.org/W2049033869","https://openalex.org/W279701215","https://openalex.org/W2107697999","https://openalex.org/W1984090010","https://openalex.org/W1902246517","https://openalex.org/W2140603008","https://openalex.org/W3145837419"],"abstract_inverted_index":{"Associative":[0],"memory":[1,61,87,118],"engages":[2],"in":[3,11,80],"the":[4,12,38,53,71,105],"integration":[5],"of":[6,112],"relevant":[7],"information":[8,32],"for":[9],"comprehension":[10],"human":[13,27],"cognition":[14],"system.In":[15],"this":[16],"work,":[17],"we":[18],"seek":[19],"to":[20,50,66,85],"improve":[21],"alignment":[22,39,72],"between":[23,40,73],"language":[24,41,47,68,74,92],"models":[25,93],"and":[26,43,76,121],"brain":[28,44,51,77,81,101],"while":[29],"processing":[30],"speech":[31],"by":[33,45,103],"integrating":[34],"associative":[35,60,86,117],"memory.After":[36],"verifying":[37],"model":[42,48,75],"mapping":[46],"activations":[49],"activity,":[52],"original":[54],"text":[55],"stimuli":[56],"expanded":[57],"with":[58,100,114],"simulated":[59],"are":[62],"regarded":[63],"as":[64,119,124],"input":[65,120],"computational":[67],"models.We":[69],"find":[70],"is":[78],"improved":[79],"regions":[82],"closely":[83],"related":[84],"processing.We":[88],"also":[89],"demonstrate":[90],"large":[91],"after":[94],"specific":[95],"supervised":[96],"fine-tuning":[97],"better":[98],"align":[99],"response,":[102],"building":[104],"Association":[106],"1":[107],"dataset":[108],"containing":[109],"1000":[110],"samples":[111],"stories,":[113],"instructions":[115],"encouraging":[116],"associated":[122],"content":[123],"output.":[125]},"counts_by_year":[],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}