{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,2,17]],"date-time":"2026-02-17T12:06:00Z","timestamp":1771329960081,"version":"3.50.1"},"reference-count":93,"publisher":"IEEE","license":[{"start":{"date-parts":[[2025,6,30]],"date-time":"2025-06-30T00:00:00Z","timestamp":1751241600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2025,6,30]],"date-time":"2025-06-30T00:00:00Z","timestamp":1751241600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"funder":[{"DOI":"10.13039\/501100002367","name":"Chinese Academy of Sciences","doi-asserted-by":"publisher","id":[{"id":"10.13039\/501100002367","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100002367","name":"Chinese Academy of Sciences","doi-asserted-by":"publisher","id":[{"id":"10.13039\/501100002367","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2025,6,30]]},"DOI":"10.1109\/ijcnn64981.2025.11229266","type":"proceedings-article","created":{"date-parts":[[2025,11,14]],"date-time":"2025-11-14T18:46:15Z","timestamp":1763145975000},"page":"1-10","source":"Crossref","is-referenced-by-count":1,"title":["Position Paper: Large Language Models need Episodic Memory"],"prefix":"10.1109","author":[{"given":"Guangfu","family":"Hao","sequence":"first","affiliation":[{"name":"Chinese Academy of Sciences,Institute of Automation,Beijing,China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Yuhan","family":"Zhang","sequence":"additional","affiliation":[{"name":"Chinese Academy of Sciences,Institute of Automation,Beijing,China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Guoqing","family":"Ma","sequence":"additional","affiliation":[{"name":"Chinese Academy of Sciences,Institute of Automation,Beijing,China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Yang","family":"Chen","sequence":"additional","affiliation":[{"name":"Chinese Academy of Sciences,Institute of Automation,Beijing,China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Frederic","family":"Alexandre","sequence":"additional","affiliation":[{"name":"Inria Centre at the University of Bordeaux,Neurodegenerative Diseases Institute,Bordeaux,France"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Shan","family":"Yu","sequence":"additional","affiliation":[{"name":"Chinese Academy of Sciences,Institute of Automation,Beijing,China"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref1","article-title":"Gpt-4 technical report","author":"Achiam","year":"2023"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1109\/MIPRO60963.2024.10569238"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1007\/s11280-024-01276-1"},{"key":"ref4","first-page":"27730","article-title":"Training language models to follow instructions with human feedback","volume-title":"Advances in neural information processing systems","volume":"35","author":"Ouyang"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.4135\/9781446212967.n15"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1016\/j.neuropsychologia.2009.02.003"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1111\/j.1745-6916.2006.00017.x"},{"key":"ref8","article-title":"Large language models with controllable working memory","volume":"abs\/2211.05110","author":"Li","year":"2022"},{"key":"ref9","article-title":"Extending context window of large language models via positional interpolation","author":"Chen","year":"2023"},{"key":"ref10","article-title":"Memgpt: Towards llms as operating systems","author":"Packer","year":"2023"},{"key":"ref11","article-title":"Test of time: A benchmark for evaluating llms on temporal reasoning","author":"Fatemi","year":"2024"},{"key":"ref12","article-title":"Online training of large language models: Learn while chatting","author":"Liang","year":"2024"},{"key":"ref13","article-title":"Memory, consciousness and large language model","author":"Li","year":"2024"},{"key":"ref14","article-title":"The what, why, and how of context length extension techniques in large language models\u2013a detailed survey","author":"Pawar","year":"2024"},{"key":"ref15","article-title":"Hello gpt-4o","year":"2024"},{"key":"ref16","volume-title":"Claude 3.5 sonnet","year":"2024"},{"key":"ref17","article-title":"Gemini 1.5: Unlocking multimodal understanding across millions of tokens of context","author":"Reid","year":"2024"},{"key":"ref18","article-title":"Chatlaw: Open-source legal large language model with integrated external knowledge bases","author":"Cui","year":"2023"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.59287\/icaens.1127"},{"key":"ref20","article-title":"Continual learning for large language models: A survey","author":"Wu","year":"2024"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1145\/3626772.3657807"},{"key":"ref22","article-title":"Parameter-efficient fine-tuning for large models: A comprehensive survey","author":"Han","year":"2024"},{"key":"ref23","volume-title":"Transforming human interactions with ai via reinforcement learning with human feedback (rlhf)","author":"Liu","year":"2023"},{"key":"ref24","article-title":"Training a helpful and harmless assistant with reinforcement learning from human feedback","author":"Bai","year":"2022"},{"key":"ref25","article-title":"Pairwise proximal policy optimization: Harnessing relative feedback for llm alignment","author":"Wu","year":"2023"},{"key":"ref26","article-title":"A comprehensive study of knowledge editing for large language models","author":"Zhang","year":"2024"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2022.acl-long.581"},{"key":"ref28","first-page":"17359","article-title":"Locating and editing factual associations in gpt","volume-title":"Advances in Neural Information Processing Systems","volume":"35","author":"Meng"},{"key":"ref29","article-title":"Fast model editing at scale","author":"Mitchell","year":"2021"},{"key":"ref30","article-title":"Massive editing for large language models via meta learning","author":"Tan","year":"2023"},{"key":"ref31","first-page":"9459","article-title":"Retrieval-augmented generation for knowledge-intensive nlp tasks","volume-title":"Advances in Neural Information Processing Systems","volume":"33","author":"Lewis"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v38i16.29728"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2023.emnlp-main.322"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2020.findings-emnlp.63"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2024.3378514"},{"key":"ref36","article-title":"Large language models-guided dynamic adaptation for temporal knowledge graph reasoning","author":"Wang","year":"2024"},{"key":"ref37","article-title":"Memorizing transformers","author":"Wu","year":"2022"},{"key":"ref38","first-page":"74530","article-title":"Augmenting language models with long-term memory","volume-title":"Advances in Neural Information Processing Systems","volume":"36","author":"Wang"},{"key":"ref39","article-title":"Leave no context behind: Efficient infinite context transformers with infini-attention","author":"Munkhdalai","year":"2024"},{"key":"ref40","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2024.findings-acl.382"},{"key":"ref41","article-title":"The role of episodic memory in storytelling: Comparing large language models with humans","volume-title":"Proceedings of the Annual Meeting of the Cognitive Science Society","volume":"46","author":"Cornell"},{"key":"ref42","doi-asserted-by":"publisher","DOI":"10.1038\/s41586-023-06647-8"},{"key":"ref43","doi-asserted-by":"crossref","DOI":"10.18653\/v1\/2024.knowledgenlp-1.4","article-title":"Learning to trust your feelings: Leveraging self-awareness in llms for hallucination mitigation","author":"Liang","year":"2024"},{"key":"ref44","article-title":"Hallucination is inevitable: An innate limitation of large language models","author":"Xu","year":"2024"},{"key":"ref45","doi-asserted-by":"publisher","DOI":"10.1186\/s13054-023-04393-x"},{"key":"ref46","doi-asserted-by":"crossref","DOI":"10.18653\/v1\/2023.findings-emnlp.691","article-title":"Self-knowledge guided retrieval augmentation for large language models","volume-title":"Conference on Empirical Methods in Natural Language Processing","author":"Wang"},{"key":"ref47","article-title":"Towards lifelong learning of large language models: A survey","author":"Zheng","year":"2024"},{"key":"ref48","first-page":"3676","article-title":"Grounding large language models in interactive environments with online reinforcement learning","volume-title":"International Conference on Machine Learning","author":"Carta"},{"key":"ref49","article-title":"Enhancing creativity in large language models through associative thinking strategies","author":"Mehrotra","year":"2024"},{"key":"ref50","doi-asserted-by":"publisher","DOI":"10.1146\/annurev.psych.53.100901.135114"},{"key":"ref51","doi-asserted-by":"publisher","DOI":"10.1037\/0033-295X.107.2.261"},{"key":"ref52","doi-asserted-by":"publisher","DOI":"10.1155\/2014\/157452"},{"key":"ref53","doi-asserted-by":"publisher","DOI":"10.1080\/09515089.2021.1980520"},{"key":"ref54","doi-asserted-by":"publisher","DOI":"10.1017\/S1355617710000676"},{"key":"ref55","doi-asserted-by":"publisher","DOI":"10.1016\/B978-012370509-9.00185-6"},{"key":"ref56","doi-asserted-by":"publisher","DOI":"10.1037\/0033-2909.121.3.331"},{"key":"ref57","doi-asserted-by":"publisher","DOI":"10.1080\/17470218.2015.1007150"},{"key":"ref58","doi-asserted-by":"publisher","DOI":"10.1016\/j.neucom.2015.02.038"},{"key":"ref59","doi-asserted-by":"publisher","DOI":"10.1017\/S0140525X17000012"},{"key":"ref60","doi-asserted-by":"publisher","DOI":"10.1016\/j.tics.2011.08.004"},{"key":"ref61","doi-asserted-by":"publisher","DOI":"10.1126\/science.1221936"},{"key":"ref62","doi-asserted-by":"publisher","DOI":"10.1177\/0956797615591863"},{"key":"ref63","doi-asserted-by":"publisher","DOI":"10.1073\/pnas.1301199110"},{"key":"ref64","doi-asserted-by":"publisher","DOI":"10.1016\/j.tics.2013.06.009"},{"key":"ref65","doi-asserted-by":"publisher","DOI":"10.1126\/science.1149381"},{"key":"ref66","doi-asserted-by":"publisher","DOI":"10.1002\/hipo.20350"},{"key":"ref67","doi-asserted-by":"publisher","DOI":"10.1080\/09548980601064846"},{"key":"ref68","doi-asserted-by":"publisher","DOI":"10.1007\/s00429-018-1659-4"},{"key":"ref69","doi-asserted-by":"publisher","DOI":"10.1038\/nn.4284"},{"key":"ref70","doi-asserted-by":"publisher","DOI":"10.1002\/hipo.1071"},{"key":"ref71","doi-asserted-by":"publisher","DOI":"10.1016\/j.cub.2018.03.051"},{"key":"ref72","doi-asserted-by":"publisher","DOI":"10.1016\/j.tins.2011.07.007"},{"key":"ref73","doi-asserted-by":"publisher","DOI":"10.1016\/j.cell.2017.07.013"},{"key":"ref74","doi-asserted-by":"publisher","DOI":"10.1016\/j.neuropsychologia.2013.05.027"},{"key":"ref75","doi-asserted-by":"publisher","DOI":"10.1016\/j.cub.2013.08.045"},{"key":"ref76","doi-asserted-by":"publisher","DOI":"10.1038\/nrn.2017.6"},{"key":"ref77","doi-asserted-by":"publisher","DOI":"10.1038\/nn.4058"},{"key":"ref78","doi-asserted-by":"publisher","DOI":"10.1038\/6404"},{"key":"ref79","doi-asserted-by":"publisher","DOI":"10.1016\/j.conb.2011.04.006"},{"key":"ref80","doi-asserted-by":"publisher","DOI":"10.1038\/s41593-023-01324-5"},{"key":"ref81","doi-asserted-by":"publisher","DOI":"10.1016\/j.neuron.2011.05.041"},{"key":"ref82","doi-asserted-by":"publisher","DOI":"10.1016\/j.pneurobio.2022.102351"},{"key":"ref83","doi-asserted-by":"publisher","DOI":"10.1523\/JNEUROSCI.2324-16.2017"},{"key":"ref84","first-page":"1560","article-title":"Extending Cognitive Architecture with Episodic Memory","volume-title":"Proceedings of the AAAI Conference on Artificial Intelligence","author":"Nuxoll"},{"key":"ref85","doi-asserted-by":"publisher","DOI":"10.1007\/s00426-018-1075-7"},{"key":"ref86","doi-asserted-by":"publisher","DOI":"10.3389\/fnbeh.2013.00047"},{"key":"ref87","doi-asserted-by":"publisher","DOI":"10.1016\/j.neuropsychologia.2006.10.016"},{"key":"ref88","doi-asserted-by":"publisher","DOI":"10.1523\/JNEUROSCI.4163-07.2007"},{"key":"ref89","doi-asserted-by":"publisher","DOI":"10.1093\/mind\/fzs080"},{"key":"ref90","doi-asserted-by":"publisher","DOI":"10.1016\/bs.plm.2021.06.002"},{"key":"ref91","doi-asserted-by":"publisher","DOI":"10.1111\/1467-9280.00116"},{"key":"ref92","doi-asserted-by":"publisher","DOI":"10.1515\/REVNEURO.2007.18.3-4.253"},{"key":"ref93","doi-asserted-by":"publisher","DOI":"10.1016\/j.tics.2007.05.001"}],"event":{"name":"2025 International Joint Conference on Neural Networks (IJCNN)","location":"Rome, Italy","start":{"date-parts":[[2025,6,30]]},"end":{"date-parts":[[2025,7,5]]}},"container-title":["2025 International Joint Conference on Neural Networks (IJCNN)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx8\/11227166\/11227148\/11229266.pdf?arnumber=11229266","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,11,15]],"date-time":"2025-11-15T07:30:21Z","timestamp":1763191821000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/11229266\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025,6,30]]},"references-count":93,"URL":"https:\/\/doi.org\/10.1109\/ijcnn64981.2025.11229266","relation":{},"subject":[],"published":{"date-parts":[[2025,6,30]]}}}