Fetching the paper…
Reading the bibliography…
Large Language Models (LLMs) have demonstrated remarkable prowess in generating contextually coherent responses, yet their fixed context windows pose fundamental challenges for maintaining consistency over prolonged multi-session dialogues.
Human memory
Fergus IM Craik and Janine M Jennings · 1992
Earlier work this paper cites.
Communicative and cultural memory
Jan Assmann · 2011
Earlier work this paper cites.
An ensemble approach for extractive text summarization
Prabhjot Singh, Prateek Chhikara, and Jasmeet Singh · 2020
Earlier work this paper cites.
Recurrent memory transformer
Aydar Bulatov, Yury Kuratov, and Mikhail Burtsev · 2022
Earlier work this paper cites.
A study of zero-shot adaptation with commonsense knowledge
Jiarui Zhang, Filip Ilievski, Kaixin Ma, Jonathan Francis, and Alessandro Oltramari · 2022
Earlier work this paper cites.
Knowledge-enhanced agents for interactive text games
Prateek Chhikara, Jiarui Zhang, Filip Ilievski, Jonathan Francis, and Kaixin Ma · 2023
Earlier work this paper cites.
Memory matters: The need to improve long-term memory in llm-agents
Kostas Hatalis, Despina Christou, Joshua Myers, Steven Jones, Keith Lambert, Adam Amos-Binks, Zohreh Dannenhauer, and Dustin Dannenhauer · 2023
Earlier work this paper cites.
Think-in-memory: Recalling and post-thinking enable llms with long-term memory
Lei Liu, Xiaoyan Yang, Yue Shen, Binbin Hu, Zhiqiang Zhang, Jinjie Gu, and Guannan Zhang · 2023
Earlier work this paper cites.
Memgpt: Towards llms as operating systems
Charles Packer, Vivian Fang, Shishir_G Patil, Kevin Lin, Sarah Wooders, and Joseph_E Gonzalez · 2023
Earlier work this paper cites.
Reflexion: Language agents with verbal reinforcement learning
Noah Shinn, Federico Cassano, Ashwin Gopinath, Karthik Narasimhan, and Shunyu Yao · 2023
Earlier work this paper cites.
Memorybank: Enhancing large language models with long-term memory
Wanjun Zhong, Lianghong Guo, Qiqi Gao, He Ye, and Yanlin Wang · 2023
Cited alongside, same era.
Active-dormant attention heads: Mechanistically demystifying extreme-token phenomena in llms
Tianyu Guo, Druv Pai, Yu Bai, Jiantao Jiao, Michael Jordan, and Song Mei · 2024
Cited alongside, same era.
Human-inspired perspectives: A survey on ai long-term memory
Zihong He, Weizhe Lin, Hao Zheng, Fan Zhang, Matt W Jones, Laurence Aitchison, Xuhai Xu, Miao Liu, Per Ola Kristensson, and Junxiao Shen · 2024
Cited alongside, same era.
Aaron Hurst, Adam Lerer, Adam P Goucher, Adam Perelman, Aditya Ramesh, Aidan Clark, AJ Ostrow, Akila Welihinda, Alan Hayes, Alec Radford, et al · 2024
Cited alongside, same era.
Gemini 1.5: Unlocking multimodal understanding across millions of tokens of context
Gemini Team, Petko Georgiev, Ving Ian Lei, Ryan Burnell, Libin Bai, Anmol Gulati, Garrett Tanzer, Damien Vincent, Zhufeng Pan, Shibo Wang, et al · 2024
Later among the works it cites.
Finmem: A performance-enhanced llm trading agent with layered memory and character design
Yangyang Yu, Haohang Li, Zhi Chen, Yuechen Jiang, Yang Li, Denghui Zhang, Rong Liu, Jordan W Suchow, and Khaldoun Khashanah · 2024
Later among the works it cites.
Guided profile generation improves personalization with large language models
Jiarui Zhang · 2024
Later among the works it cites.
A survey on the memory mechanism of large language model based agents
Zeyu Zhang, Xiaohe Bo, Chen Ma, Rui Li, Xu Chen, Quanyu Dai, Jieming Zhu, Zhenhua Dong, and Ji-Rong Wen · 2024
Later among the works it cites.
Model card and evaluations for claude models
Anthropic · 2025
alphaXiv searches the wider corpus for related work and actual follow-ups.
alphaXiv is searching for related work…
Aaron Jaech, Adam Kalai, Adam Lerer, Adam Richardson, Ahmed El-Kishky, Aiden Low, Alec Helyar, Aleksander Madry, Alex Beutel, Alex Carney, et al · 2024
Cited alongside, same era.
A human-inspired reading agent with gist memory of very long contexts
Kuang-Huei Lee, Xinyun Chen, Hiroki Furuta, John Canny, and Ian Fischer · 2024
Cited alongside, same era.
Evaluating very long-term conversational memory of llm agents
Adyasha Maharana, Dong-Ho Lee, Sergey Tulyakov, Mohit Bansal, Francesco Barbieri, and Yuwei Fang · 2024
Cited alongside, same era.
Needle in the haystack for memory based large language models
Elliot Nelson, Georgios Kollias, Payel Das, Subhajit Chaudhury, and Soham Dan · 2024
Cited alongside, same era.
Raptor: Recursive abstractive processing for tree-organized retrieval
Parth Sarthi, Salman Abdullah, Aditi Tuli, Shubh Khanna, Anna Goldie, and Christopher D Manning · 2024
Cited alongside, same era.
Evaluating domain coverage in low-resource generative chatbots: A comparative study of open-domain and closed-domain approaches using bleu scores
Arpita Soni, Rajeev Arora, Anoop Kumar, and Dheerendra Panwar · 2024
Cited alongside, same era.
Clin: A continually learning language agent for rapid task adaptation and generalization
Bodhisattwa Prasad Majumder, Bhavana Dalvi Mishra, Peter Jansen, Oyvind Tafjord, Niket Tandon, Li Zhang, Chris Callison-Burch, and Peter Clark
Cited in the paper.
Closest in time.
Dissecting the metrics: How different evaluation approaches yield diverse results for conversational ai
Gaurav Goswami · 2025
Closest in time.
Zep: A temporal knowledge graph architecture for agent memory
Preston Rasmussen, Pavlo Paliychuk, Travis Beauvais, Jack Ryan, and Daniel Chalef · 2025
Closest in time.
Memory is all you need: Testing how model memory affects llm performance in annotation tasks
Joan C Timoneda and Sebastián Vallejo Vera · 2025
Closest in time.
A-mem: Agentic memory for llm agents
Wujiang Xu, Zujie Liang, Kai Mei, Hang Gao, Juntao Tan, and Yongfeng Zhang · 2025
Closest in time.