mlsanityData to 7 Oct 2026

LLM-based Medical Assistant Personalization with Short- and Long-Term Memory Coordination

arXiv 2309.11696 ↗First posted 21 Sep 2023cs.CLcited by 46

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Abstract (arXiv)

Large Language Models (LLMs), such as GPT3.5, have exhibited remarkable proficiency in comprehending and generating natural language. On the other hand, medical assistants hold the potential to offer substantial benefits for individuals. However, the exploration of LLM-based personalized medical assistant remains relatively scarce. Typically, patients converse differently based on their background and preferences which necessitates the task of enhancing user-oriented medical assistant. While one can fully train an LLM for this objective, the resource consumption is unaffordable. Prior research has explored memory-based methods to enhance the response with aware of previous mistakes for new queries during a dialogue session. We contend that a mere memory module is inadequate and fully training an LLM can be excessively costly. In this study, we propose a novel computational bionic memory mechanism, equipped with a parameter-efficient fine-tuning (PEFT) schema, to personalize medical assistants.

Key facts. Cited by 46 papers in the map (data through 7 Oct 2026). Builds on 21 of its 37 references that are in the map. First posted on arXiv 21 Sep 2023.

Builds on

21 of 37 references.

References · 21

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  5. 2020Retrieval-Augmented Generation for Knowledge-Intensive NLP Taskscited by 9,160
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  11. 2022Few-Shot Parameter-Efficient Fine-Tuning is Better and Cheaper than In-Context Learningcited by 886
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9 more
  1. 2021P-Tuning v2: Prompt Tuning Can Be Comparable to Fine-tuning Universally Across Scales and Taskscited by 686
  2. 2022Using Large Language Models to Simulate Multiple Humans and Replicate Human Subject Studiescited by 506
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  4. 2023Pretraining Language Models with Human Preferencescited by 245
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Cited by year (2026 to 7 Oct)

Citing papers per year: 2023: 1; 2024: 10; 2025: 21; 2026: 14.

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  1. 2024Two Tales of Persona in LLMs: A Survey of Role-Playing and Personalizationcited by 203
  2. 2025Dynamic Cheatsheet: Test-Time Learning with Adaptive Memorycited by 146
  3. 2025Memory OS of AI Agentcited by 140
  4. 2024InfiAgent-DABench: Evaluating Agents on Data Analysis Taskscited by 134
  5. 2025Agentic Large Language Models, a surveycited by 105
  6. 2025MedRAG: Enhancing Retrieval-augmented Generation with Knowledge Graph-Elicited Reasoning for Healthcare Copilotcited by 83
  7. 2025A Survey of Personalized Large Language Models: Progress and Future Directionscited by 65
  8. 2025Injecting Domain-Specific Knowledge into Large Language Models: A Comprehensive Surveycited by 47
  9. 2024PerLTQA: A Personal Long-Term Memory Dataset for Memory Classification, Retrieval, and Synthesis in Question Answeringcited by 34
  10. 2025LaMP-QA: A Benchmark for Personalized Long-form Question Answeringcited by 30
  11. 2023Towards Knowledge-driven Autonomous Drivingcited by 29
  12. 2025ExPerT: Effective and Explainable Evaluation of Personalized Long-Form Text Generationcited by 26
34 more
  1. 2025A Survey of Personalization: From RAG to Agentcited by 26
  2. 2025SynthesizeMe! Inducing Persona-Guided Prompts for Personalized Reward Models in LLMscited by 26
  3. 2025A Survey on Personalized and Pluralistic Preference Alignment in Large Language Modelscited by 25
  4. 2025Teaching Language Models to Evolve with Users: Dynamic Profile Modeling for Personalized Alignmentcited by 22
  5. 2024LLMs Simulate Big Five Personality Traits: Further Evidencecited by 21
  6. 2024On the Way to LLM Personalization: Learning to Remember User Conversationscited by 21
  7. 2024Comparing Retrieval-Augmentation and Parameter-Efficient Fine-Tuning for Privacy-Preserving Personalization of Large Language Modelscited by 20
  8. 2025Mem-PAL: Towards Memory-based Personalized Dialogue Assistants for Long-term User-Agent Interactioncited by 11
  9. 2025ProPerSim: Developing Proactive and Personalized AI Assistants through User-Assistant Simulationcited by 10
  10. 2025AssoMem: Scalable Memory QA with Multi-Signal Associative Retrievalcited by 10
  11. 2024Privacy-preserved LLM Cascade via CoT-enhanced Policy Learningcited by 8
  12. 2026Adaptive Vision-Language Model Routing for Computer Use Agentscited by 8
  13. 2025Sugar-Coated Poison: Benign Generation Unlocks LLM Jailbreakingcited by 5
  14. 2025Learning from Natural Language Feedback for Personalized Question Answeringcited by 5
  15. 2024Cracking the Code: Multi-domain LLM Evaluation on Real-World Professional Exams in Indonesiacited by 4
  16. 2024Enhancing Long Context Performance in LLMs Through Inner Loop Query Mechanismcited by 4
  17. 2026An Empirical Study and Theoretical Explanation on Task-Level Model-Merging Collapsecited by 4
  18. 2025CliCARE: Grounding Large Language Models in Clinical Guidelines for Decision Support over Longitudinal Cancer Electronic Health Recordscited by 3
  19. 2025Towards Faithful and Controllable Personalization via Critique-Post-Edit Reinforcement Learningcited by 3
  20. 2025Accessibility Scout: Personalized Accessibility Scans of Built Environmentscited by 2
  21. 2026Neuromem: A Granular Decomposition of the Streaming Lifecycle in External Memory for LLMscited by 2
  22. 2026MOSAIC: Unveiling the Moral, Social and Individual Dimensions of Large Language Modelscited by 2
  23. 2024Foundation Model Engineering: Engineering Foundation Models Just as Engineering Softwarecited by 1
  24. 2025EEG-MedRAG: Enhancing EEG-based Clinical Decision-Making via Hierarchical Hypergraph Retrieval-Augmented Generationcited by 1
  25. 2026Evaluating the Pre-Consultation Ability of LLMs using Diagnostic Guidelinescited by 1
  26. 2026TSUBASA: Improving Long-Horizon Personalization via Evolving Memory and Self-Learning with Context Distillationcited by 1
  27. 2026Improving User Privacy in Personalized Generation: Client-Side Retrieval-Augmented Modification of Server-Side Generated Speculationscited by 0
  28. 2026Bridging Textual Profiles and Latent User Embeddings for Personalizationcited by 0
  29. 2026Medication-Aware Financial Exploitation Detection for Alzheimer's Patients Using Edge-Aware Interaction Risk Modelingcited by 0
  30. 2026From Profiles to Steering Vectors: Global Sparse Priors and Local Semantic Calibration for Personalized Text Generationcited by 0
  31. 2026VIBE-Bench: Evaluating Personalized Large Language Models When Profiles Don't Mean Preferencescited by 0
  32. 2026Prompt-Space Meta-Learning Does Not Transfer Across Users: A Frozen-LLM Negative Resultcited by 0
  33. 2026Bounded Personas Match Retrieval on Classification but Not Regression for a Frozen Agentcited by 0
  34. 2026Where to Look and What to Use: Retrieve-Localize-Generate for Long-Term Conversational Memory Question Answeringcited by 0