mlsanityData to 14 Oct 2026

RET-LLM: Towards a General Read-Write Memory for Large Language Models

arXiv 2305.14322 ↗First posted 23 May 2023cs.CLcited by 64

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Cited by 37 in LLM agents and tool use, but placed by its own abstract, which didn’t fit.

Abstract (arXiv)

Large language models (LLMs) have significantly advanced the field of natural language processing (NLP) through their extensive parameters and comprehensive data utilization. However, existing LLMs lack a dedicated memory unit, limiting their ability to explicitly store and retrieve knowledge for various tasks. In this paper, we propose RET-LLM a novel framework that equips LLMs with a general write-read memory unit, allowing them to extract, store, and recall knowledge from the text as needed for task performance. Inspired by Davidsonian semantics theory, we extract and save knowledge in the form of triplets. The memory unit is designed to be scalable, aggregatable, updatable, and interpretable. Through qualitative evaluations, we demonstrate the superiority of our proposed framework over baseline approaches in question answering tasks. Moreover, our framework exhibits robust performance in handling temporal-based question answering tasks, showcasing its ability to effectively manage time-dependent information.

Key facts. Cited by 64 papers in the map (data through 14 Oct 2026). Builds on 9 of its 13 references that are in the map. First posted on arXiv 23 May 2023.

Builds on

9 of 13 references.

References · 9

  1. 2021LoRA: Low-Rank Adaptation of Large Language Modelscited by 14,380
  2. 2023LLaMA: Open and Efficient Foundation Language Modelscited by 14,132
  3. 2022PaLM: Scaling Language Modeling with Pathwayscited by 5,326
  4. 2023Toolformer: Language Models Can Teach Themselves to Use Toolscited by 4,182
  5. 2023Generative Agents: Interactive Simulacra of Human Behaviorcited by 3,568
  6. 2023Sparks of Artificial General Intelligence: Early experiments with GPT-4cited by 2,592
  7. 2021Time-Aware Language Models as Temporal Knowledge Basescited by 296
  8. 2022Memorizing Transformerscited by 226
  9. 2022Training Language Models with Memory Augmentationcited by 113

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Cited by year (2026 to 14 Oct)

Citing papers per year: 2023: 9; 2024: 19; 2025: 23; 2026: 13.

64 papers.

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  1. 2023A Survey on Large Language Model based Autonomous Agentscited by 2,242
  2. 2023Retrieval-Augmented Generation for Large Language Models: A Surveycited by 2,212
  3. 2023The Rise and Potential of Large Language Model Based Agents: A Surveycited by 1,439
  4. 2025A-MEM: Agentic Memory for LLM Agentscited by 1,063
  5. 2023A Comprehensive Overview of Large Language Modelscited by 648
  6. 2024A Survey on the Memory Mechanism of Large Language Model based Agentscited by 634
  7. 2025Darwin Godel Machine: Open-Ended Evolution of Self-Improving Agentscited by 356
  8. 2025Memory in the Age of AI Agentscited by 303
  9. 2024Personal LLM Agents: Insights and Survey about the Capability, Efficiency and Securitycited by 260
  10. 2025MemAgent: Reshaping Long-Context LLM with Multi-Conv RL-based Memory Agentcited by 246
  11. 2024From Persona to Personalization: A Survey on Role-Playing Language Agentscited by 212
  12. 2024LLM Inference Unveiled: Survey and Roofline Model Insightscited by 152
38 more
  1. 2025Evo-Memory: Benchmarking LLM Agent Test-time Learning with Self-Evolving Memorycited by 136
  2. 2025A Survey of Context Engineering for Large Language Modelscited by 126
  3. 2025Multi-Agent Collaboration via Evolving Orchestrationcited by 108
  4. 2024MEMORYLLM: Towards Self-Updatable Large Language Modelscited by 93
  5. 2025Lifelong Learning of Large Language Model based Agents: A Roadmapcited by 83
  6. 2024From Isolated Conversations to Hierarchical Schemas: Dynamic Tree Memory Representation for LLMscited by 79
  7. 2023Advancing Transformer Architecture in Long-Context Large Language Models: A Comprehensive Surveycited by 72
  8. 2026Memory for Autonomous LLM Agents:Mechanisms, Evaluation, and Emerging Frontierscited by 65
  9. 2023KnowledGPT: Enhancing Large Language Models with Retrieval and Storage Access on Knowledge Basescited by 52
  10. 2026A Survey of Agentic Reasoning for Large Language Models: Towards Recursively Self-Improving and Collective Agentscited by 50
  11. 2023Large Language Models Are Semi-Parametric Reinforcement Learning Agentscited by 42
  12. 2024When Large Language Models Meet Vector Databases: A Surveycited by 39
  13. 2024KARMA: Augmenting Embodied AI Agents with Long-and-short Term Memory Systemscited by 39
  14. 2024MemLLM: Finetuning LLMs to Use An Explicit Read-Write Memorycited by 35
  15. 2024Exploring Autonomous Agents through the Lens of Large Language Models: A Reviewcited by 31
  16. 2024Logically Consistent Language Models via Neuro-Symbolic Integrationcited by 30
  17. 2024Emotional RAG: Enhancing Role-Playing Agents through Emotional Retrievalcited by 26
  18. 2024MemSim: A Bayesian Simulator for Evaluating Memory of LLM-based Personal Assistantscited by 24
  19. 2025Adaptation of Agentic AI: A Survey of Post-Training, Memory, and Skillscited by 22
  20. 2025DrugPilot: LLM-based Parameterized Reasoning Agent for Drug Discoverycited by 19
  21. 2024AesopAgent: Agent-driven Evolutionary System on Story-to-Video Productioncited by 13
  22. 2025LLMs Working in Harmony: A Survey on the Technological Aspects of Building Effective LLM-Based Multi Agent Systemscited by 10
  23. 2024Professional Agents -- Evolving Large Language Models into Autonomous Experts with Human-Level Competenciescited by 9
  24. 2025HiMA-Ecom: Enabling Joint Training of Hierarchical Multi-Agent E-commerce Assistantscited by 9
  25. 2026All-Mem: Agentic Lifelong Memory via Dynamic Topology Evolutioncited by 9
  26. 2025Evaluating Long-Term Memory for Long-Context Question Answeringcited by 8
  27. 2024Who Speaks Next? Multi-party AI Discussion Leveraging the Systematics of Turn-taking in Murder Mystery Gamescited by 7
  28. 2025D-SMART: Enhancing LLM Dialogue Consistency via Dynamic Structured Memory And Reasoning Treecited by 7
  29. 2024CMT: A Memory Compression Method for Continual Knowledge Learning of Large Language Modelscited by 6
  30. 2025Fast Think-on-Graph: Wider, Deeper and Faster Reasoning of Large Language Model on Knowledge Graphcited by 6
  31. 2025VisEscape: A Benchmark for Evaluating Exploration-driven Decision-making in Virtual Escape Roomscited by 6
  32. 2023RecallM: An Adaptable Memory Mechanism with Temporal Understanding for Large Language Modelscited by 5
  33. 2024DFA-RAG: Conversational Semantic Router for Large Language Model with Definite Finite Automatoncited by 5
  34. 2025TokMem: One-Token Procedural Memory for Large Language Modelscited by 5
  35. 2024A Taxonomy of Architecture Options for Foundation Model-based Agents: Analysis and Decision Modelcited by 4
  36. 2025MAPLE: Multi-Agent Adaptive Planning with Long-Term Memory for Table Reasoningcited by 4
  37. 2025Sari Sandbox: A Virtual Retail Store Environment for Embodied AI Agentscited by 4
  38. 2026ByteRover: Agent-Native Memory Through LLM-Curated Hierarchical Contextcited by 3

50 most cited of 64 All 64 (JSON)