mlsanityData to 7 Oct 2026

From LLM to Conversational Agent: A Memory Enhanced Architecture with Fine-Tuning of Large Language Models

arXiv 2401.02777 ↗First posted 5 Jan 2024cs.CL cs.AIcited by 42

On the map: LLM agents and tool use → General LLM agent frameworks and benchmarks

Abstract (arXiv)

This paper introduces RAISE (Reasoning and Acting through Scratchpad and Examples), an advanced architecture enhancing the integration of Large Language Models (LLMs) like GPT-4 into conversational agents. RAISE, an enhancement of the ReAct framework, incorporates a dual-component memory system, mirroring human short-term and long-term memory, to maintain context and continuity in conversations. It entails a comprehensive agent construction scenario, including phases like Conversation Selection, Scene Extraction, CoT Completion, and Scene Augmentation, leading to the LLMs Training phase. This approach appears to enhance agent controllability and adaptability in complex, multi-turn dialogues. Our preliminary evaluations in a real estate sales context suggest that RAISE has some advantages over traditional agents, indicating its potential for broader applications. This work contributes to the AI field by providing a robust framework for developing more context-aware and versatile conversational agents.

Key facts. Cited by 42 papers in the map (data through 7 Oct 2026). Placed in General LLM agent frameworks and benchmarks, one of 16 directions in LLM agents and tool use. Builds on 19 of its 33 references that are in the map. First posted on arXiv 5 Jan 2024.

Builds on

19 of 33 references.

Closest ancestors · 10

Same direction, newest first

  1. 2023KwaiAgents: Generalized Information-seeking Agent System with Large Language Models8 Dec
  2. 2023TPTU-v2: Boosting Task Planning and Tool Usage of Large Language Model-based Agents in Real-world Systems19 Nov
  3. 2023AgentTuning: Enabling Generalized Agent Abilities for LLMs19 Oct
  4. 2023OpenAgents: An Open Platform for Language Agents in the Wild16 Oct
  5. 2023Dialogue Chain-of-Thought Distillation for Commonsense-aware Conversational Agents13 Oct
  6. 2023FireAct: Toward Language Agent Fine-tuning9 Oct
  7. 2023Agent Instructs Large Language Models to be General Zero-Shot Reasoners5 Oct
  8. 2023The Rise and Potential of Large Language Model Based Agents: A Survey14 Sep
  9. 2023A Survey on Large Language Model based Autonomous Agents22 Aug
  10. 2023ExpeL: LLM Agents Are Experiential Learners20 Aug

Other references · 9

  1. 2022Training language models to follow instructions with human feedbackcited by 15,712
  2. 2022ReAct: Synergizing Reasoning and Acting in Language Modelscited by 8,355
  3. 2022Self-Consistency Improves Chain of Thought Reasoning in Language Modelscited by 5,601
  4. 2023Toolformer: Language Models Can Teach Themselves to Use Toolscited by 4,072
  5. 2023Sparks of Artificial General Intelligence: Early experiments with GPT-4cited by 2,579
  6. 2021WebGPT: Browser-assisted question-answering with human feedbackcited by 1,722
  7. 2023Character-LLM: A Trainable Agent for Role-Playingcited by 335
  8. 2023Can Generalist Foundation Models Outcompete Special-Purpose Tuning? Case Study in Medicinecited by 319
  9. 2023Zero-Shot Goal-Directed Dialogue via RL on Imagined Conversationscited by 38

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Cited by year (2026 to 7 Oct)

Citing papers per year: 2024: 18; 2025: 22; 2026: 2.

42 papers.

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By area:

  1. 2024ShieldGemma: Generative AI Content Moderation Based on Gemmacited by 224
  2. 2024Magentic-One: A Generalist Multi-Agent System for Solving Complex Taskscited by 221
  3. 2024The Landscape of Emerging AI Agent Architectures for Reasoning, Planning, and Tool Calling: A Surveycited by 164
  4. 2025A Survey of Context Engineering for Large Language Modelscited by 120
  5. 2025Seeing, Listening, Remembering, and Reasoning: A Multimodal Agent with Long-Term Memorycited by 88
  6. 2025Lifelong Learning of Large Language Model based Agents: A Roadmapcited by 78
  7. 2025Magentic-UI: Towards Human-in-the-loop Agentic Systemscited by 41
  8. 2025Internet of Agents: Fundamentals, Applications, and Challengescited by 31
  9. 2025OAgents: An Empirical Study of Building Effective Agentscited by 28
  10. 2024Large Model Based Agents: State-of-the-Art, Cooperation Paradigms, Security and Privacy, and Future Trendscited by 26
  11. 2024Circuit Complexity Bounds for RoPE-based Transformer Architecturecited by 26
  12. 2024Multi-Layer Transformers Gradient Can be Approximated in Almost Linear Timecited by 22
30 more
  1. 2025Adaptation of Agentic AI: A Survey of Post-Training, Memory, and Skillscited by 19
  2. 2024Quantifying and Optimizing Global Faithfulness in Persona-driven Role-playingcited by 17
  3. 2025Agentic AI Frameworks: Architectures, Protocols, and Design Challengescited by 16
  4. 2024Evolving AI Collectives to Enhance Human Diversity and Enable Self-Regulationcited by 13
  5. 2024The Effects of Embodiment and Personality Expression on Learning in LLM-based Educational Agentscited by 13
  6. 2025Accelerating Earth Science Discovery via Multi-Agent LLM Systemscited by 13
  7. 2025AI Meets Brain: Memory Systems from Cognitive Neuroscience to Autonomous Agentscited by 12
  8. 2025SOP-Agent: Empower General Purpose AI Agent with Domain-Specific SOPscited by 11
  9. 2024ShapefileGPT: A Multi-Agent Large Language Model Framework for Automated Shapefile Processingcited by 9
  10. 2026From LLMs to LRMs: Rethinking Pruning for Reasoning-Centric Modelscited by 9
  11. 2025JoyAgent-JDGenie: Technical Report on the GAIAcited by 7
  12. 2024Can Agents Spontaneously Form a Society? Introducing a Novel Architecture for Generative Multi-Agents to Elicit Social Emergencecited by 5
  13. 2024FastSwitch: Optimizing Context Switching Efficiency in Fairness-aware Large Language Model Servingcited by 5
  14. 2026Advancing Multimodal Agent Reasoning with Long-Term Neuro-Symbolic Memorycited by 5
  15. 2024CAAP: Context-Aware Action Planning Prompting to Solve Computer Tasks with Front-End UI Onlycited by 4
  16. 2024Deploying Foundation Model Powered Agent Services: A Surveycited by 4
  17. 2025Quasar: A Programming Language Specialized for LLM Code Actionscited by 4
  18. 2024ITCMA: A Generative Agent Based on a Computational Consciousness Structurecited by 3
  19. 2024BMW Agents -- A Framework For Task Automation Through Multi-Agent Collaborationcited by 3
  20. 2025Neural Algorithmic Reasoning for Hypergraphs with Looped Transformerscited by 3
  21. 2024Towards Dialogues for Joint Human-AI Reasoning and Value Alignmentcited by 2
  22. 2025RAIDER: Tool-Equipped Large Language Model Agent for Robotic Action Issue Detection, Explanation and Recoverycited by 2
  23. 2025Libra: Large Chinese-based Safeguard for AI Contentcited by 2
  24. 2025Empowering Real-World: A Survey on the Technology, Practice, and Evaluation of LLM-driven Industry Agentscited by 2
  25. 2025Scene-Aware Vectorized Memory Multi-Agent Framework with Cross-Modal Differentiated Quantization VLMs for Visually Impaired Assistancecited by 1
  26. 2024Keep on Swimming: Real Attackers Only Need Partial Knowledge of a Multi-Model Systemcited by 0
  27. 2025Visual Environment-Interactive Planning for Embodied Complex-Question Answeringcited by 0
  28. 2025MindFlow+: A Self-Evolving Agent for E-Commerce Customer Servicecited by 0
  29. 2025Flexible Agent Alignment with Goal Inference from Open-Ended Dialogcited by 0
  30. 2025Living the Novel: A System for Generating Self-Training Timeline-Aware Conversational Agents from Novelscited by 0

Similar, not cited

Close in wording, no citation either way

  1. 2024Evaluating Very Long-Term Conversational Memory of LLM Agents
  2. 2025Memoria: A Scalable Agentic Memory Framework for Personalized Conversational AI
  3. 2026Supersede: Diagnosing and Training the Memory-Update Gap in LLM Agents
  4. 2026Memory in the LLM Era: Modular Architectures and Strategies in a Unified Framework
  5. 2025Mem0: Building Production-Ready AI Agents with Scalable Long-Term Memory
  6. 2025Evaluating LLM-based Agents for Multi-Turn Conversations: A Survey
  7. 2025A Desideratum for Conversational Agents: Capabilities, Challenges, and Future Directions
  8. 2025Rethinking Memory in LLM based Agents: Representations, Operations, and Emerging Topics