mlsanityData to 14 Oct 2026

Multi Agent based Medical Assistant for Edge Devices

arXiv 2503.05397 ↗First posted 7 Mar 2025cs.MA cs.CLcited by 2

Not on the map. Why?

Abstract (arXiv)

Large Action Models (LAMs) have revolutionized intelligent automation, but their application in healthcare faces challenges due to privacy concerns, latency, and dependency on internet access. This report introduces an ondevice, multi-agent healthcare assistant that overcomes these limitations. The system utilizes smaller, task-specific agents to optimize resources, ensure scalability and high performance. Our proposed system acts as a one-stop solution for health care needs with features like appointment booking, health monitoring, medication reminders, and daily health reporting. Powered by the Qwen Code Instruct 2.5 7B model, the Planner and Caller Agents achieve an average RougeL score of 85.5 for planning and 96.5 for calling for our tasks while being lightweight for on-device deployment. This innovative approach combines the benefits of ondevice systems with multi-agent architectures, paving the way for user-centric healthcare solutions.

Key facts. Cited by 2 papers in the map (data through 14 Oct 2026). Builds on 9 of its 18 references that are in the map. First posted on arXiv 7 Mar 2025.

Builds on

9 of 18 references.

References · 9

  1. 2022ReAct: Synergizing Reasoning and Acting in Language Modelscited by 8,695
  2. 2023Toolformer: Language Models Can Teach Themselves to Use Toolscited by 4,182
  3. 2024A Survey on the Memory Mechanism of Large Language Model based Agentscited by 634
  4. 2024Understanding the planning of LLM agents: A surveycited by 421
  5. 2023LLM in a flash: Efficient Large Language Model Inference with Limited Memorycited by 177
  6. 2024xLAM: A Family of Large Action Models to Empower AI Agent Systemscited by 111
  7. 2023At Which Training Stage Does Code Data Help LLMs Reasoning?cited by 82
  8. 2024Unveiling the Impact of Coding Data Instruction Fine-Tuning on Large Language Models Reasoningcited by 31
  9. 2024Long Term Memory: The Foundation of AI Self-Evolutioncited by 30

Built on by

Cited by year

Citing papers per year: 2025: 2.

2 papers.

  1. 2025MASLegalBench: Benchmarking Multi-Agent Systems in Deductive Legal Reasoningcited by 3
  2. 2025Learning API Functionality from In-Context Demonstrations for Tool-based Agentscited by 1