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Recent large language model (LLM)-driven chat assistant systems have integrated memory components to track user-assistant chat histories, enabling more accurate and personalized responses.
Language model information retrieval with document expansion
Tao Tao, Xuanhui Wang, Qiaozhu Mei, and ChengXiang Zhai · 2006
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The probabilistic relevance framework: BM25 and beyond
Stephen E. Robertson and Hugo Zaragoza · 2009
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Improving retrieval of short texts through document expansion
Miles Efron, Peter Organisciak, and Katrina Fenlon · 2012
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Jason Weston, Sumit Chopra, and Antoine Bordes · 2014
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MultiWOZ - a large-scale multi-domain Wizard-of-Oz dataset for task-oriented dialogue modelling
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AirDialogue: An environment for goal-oriented dialogue research
Wei Wei, Quoc Le, Andrew Dai, and Jia Li · 2018
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CoQA: A conversational question answering challenge
Siva Reddy, Danqi Chen, and Christopher D. Manning · 2019
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Longformer: The long-document transformer
Iz Beltagy, Matthew E. Peters, and Arman Cohan · 2020
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Reformer: The efficient transformer
Nikita Kitaev, Łukasz Kaiser, and Anselm Levskaya · 2020
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SituatedQA: Incorporating extra-linguistic contexts into QA
Michael Zhang and Eunsol Choi · 2021
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Unsupervised dense information retrieval with contrastive learning
Gautier Izacard, Mathilde Caron, Lucas Hosseini, Sebastian Riedel, Piotr Bojanowski, Armand Joulin, and Edouard Grave · 2022
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Yuhuai Wu, Markus N Rabe, DeLesley Hutchins, and Christian Szegedy · 2022
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Beyond goldfish memory: Long-term open-domain conversation
Jing Xu, Arthur Szlam, and Jason Weston · 2022
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Long time no see! open-domain conversation with long-term persona memory
Xinchao Xu, Zhibin Gou, Wenquan Wu, Zheng-Yu Niu, Hua Wu, Haifeng Wang, and Shihang Wang · 2022
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Training language models with memory augmentation
Zexuan Zhong, Tao Lei, and Danqi Chen · 2022
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Adapting language models to compress contexts
Alexis Chevalier, Alexander Wettig, Anirudh Ajith, and Danqi Chen · 2023
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Enhancing chat language models by scaling high-quality instructional conversations
Ning Ding, Yulin Chen, Bokai Xu, Yujia Qin, Zhi Zheng, Shengding Hu, Zhiyuan Liu, Maosong Sun, and Bowen Zhou · 2023
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Llmlingua: Compressing prompts for accelerated inference of large language models
Huiqiang Jiang, Qianhui Wu, Chin-Yew Lin, Yuqing Yang, and Lili Qiu · 2023
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Needle in a haystack - pressure testing llms
Gregory Kamradt · 2023
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Yang Liu, Dan Iter, Yichong Xu, Shuohang Wang, Ruochen Xu, and Chenguang Zhu · 2023
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Learning to compress prompts with gist tokens
Jesse Mu, Xiang Li, and Noah D. Goodman · 2023
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Large language models can be easily distracted by irrelevant context
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Hipporag: Neurobiologically inspired long-term memory for large language models
Bernal Jiménez Gutiérrez, Yiheng Shu, Yu Gu, Michihiro Yasunaga, and Yu Su · 2024
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Nelson F. Liu, Kevin Lin, John Hewitt, Ashwin Paranjape, Michele Bevilacqua, Fabio Petroni, and Percy Liang · 2024
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Evaluating very long-term conversational memory of LLM agents
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Augmenting language models with long-term memory
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Judging llm-as-a-judge with mt-bench and chatbot arena, 2023
Lianmin Zheng, Wei-Lin Chiang, Ying Sheng, Siyuan Zhuang, Zhanghao Wu, Yonghao Zhuang, Zi Lin, Zhuohan Li, Dacheng Li, Eric. P Xing, Hao Zhang, Joseph E. Gonzalez, and Ion Stoica · 2023
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Make your LLM fully utilize the context
Shengnan An, Zexiong Ma, Zeqi Lin, Nanning Zheng, and Jian-Guang Lou · 2024
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