Cover Image

Small Agent Group is the Future of Digital Health

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Meng, Yuqiao, Tang, Luoxi, Zhang, Dazheng, Brens, Rafael, Romero, Elvys J., Guo, Nancy, Elkefi, Safa, Xi, Zhaohan
Format:	Preprint
Published:	2026
Subjects:	Artificial Intelligence
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Schema-Grounded LLM Extraction for FHIR Patient Digital Twins
by: Brens, Rafael, et al.
Published: (2026)

Adversarial Network Imagination: Causal LLMs and Digital Twins for Proactive Telecom Mitigation
by: Sriram, Vignesh, et al.
Published: (2026)

Smart Privacy Policy Assistant: An LLM-Powered System for Transparent and Actionable Privacy Notices
by: Kalvakuntla, Sriharshini, et al.
Published: (2026)

SafeGPT: Preventing Data Leakage and Unethical Outputs in Enterprise LLM Use
by: Desai, Pratyush, et al.
Published: (2026)

On the Eligibility of LLMs for Counterfactual Reasoning: A Decompositional Study
by: Yang, Shuai, et al.
Published: (2025)

The Trap of Trajectory: Towards Understanding and Mitigating Spurious Correlations in Agentic Memory
by: Tang, Luoxi, et al.
Published: (2026)

POLAR: Automating Cyber Threat Prioritization through LLM-Powered Assessment
by: Tang, Luoxi, et al.
Published: (2025)

RiskBridge: Turning CVEs into Business-Aligned Patch Priorities
by: Sheikh, Yelena Mujibur, et al.
Published: (2026)

EquiMem: Calibrating Shared Memory in Multi-Agent Debate via Game-Theoretic Equilibrium
by: Meng, Yuqiao, et al.
Published: (2026)

Benchmarking LLM-Assisted Blue Teaming via Standardized Threat Hunting
by: Meng, Yuqiao, et al.
Published: (2025)

Uncovering Vulnerabilities of LLM-Assisted Cyber Threat Intelligence
by: Meng, Yuqiao, et al.
Published: (2025)

Improving Clinical Data Accessibility Through Automated FHIR Data Transformation Tools
by: Pawar, Adarsh, et al.
Published: (2026)

From Test-taking to Cognitive Scaffolding: A Pedagogical Diagnostic Benchmark for LLMs on English Standardized Tests
by: Tang, Luoxi, et al.
Published: (2025)

Data to Defense: The Role of Curation in Customizing LLMs Against Jailbreaking Attacks
by: Liu, Xiaoqun, et al.
Published: (2024)

The Value of Variance: Mitigating Debate Collapse in Multi-Agent Systems via Uncertainty-Driven Policy Optimization
by: Tang, Luoxi, et al.
Published: (2026)

Triplet-Structured Knowledge Integration for Multi-Turn Medical Reasoning
by: Meng, Zhaohan, et al.
Published: (2025)

Unlocking the Potential of Metaverse in Innovative and Immersive Digital Health
by: Ebrahimzadeh, Fatemeh, et al.
Published: (2024)

Zodiac: A Cardiologist-Level LLM Framework for Multi-Agent Diagnostics
by: Zhou, Yuan, et al.
Published: (2024)

Robustifying Safety-Aligned Large Language Models through Clean Data Curation
by: Liu, Xiaoqun, et al.
Published: (2024)

LifeAgentBench: A Multi-dimensional Benchmark and Agent for Personal Health Assistants in Digital Health
by: Tian, Ye, et al.
Published: (2026)

FusionDTI: Fine-grained Binding Discovery with Token-level Fusion for Drug-Target Interaction
by: Meng, Zhaohan, et al.
Published: (2024)

Looking into the Future of Health-Care Services: Can Life-Like Agents Change the Future of Health-Care Services?
by: Torkestani, Mohammad Saleh, et al.
Published: (2025)

Learning to Control Dynamical Agents via Spiking Neural Networks and Metropolis-Hastings Sampling
by: Safa, Ali, et al.
Published: (2025)

Lightweight LLM Agent Memory with Small Language Models
by: Zhang, Jiaquan, et al.
Published: (2026)

Partial Models for Building Adaptive Model-Based Reinforcement Learning Agents
by: Alver, Safa, et al.
Published: (2024)

Group of Skills: Group-Structured Skill Retrieval for Agent Skill Libraries
by: Zeng, Kun, et al.
Published: (2026)

Diffusion with a Linguistic Compass: Steering the Generation of Clinically Plausible Future sMRI Representations for Early MCI Conversion Prediction
by: Tang, Zhihao, et al.
Published: (2025)

AI Agents and Agentic AI-Navigating a Plethora of Concepts for Future Manufacturing
by: Ren, Yinwang, et al.
Published: (2025)

Small Language Models are the Future of Agentic AI
by: Belcak, Peter, et al.
Published: (2025)

A Large-Scale Dataset and Benchmark: Do Protein-Ligand Models Learn Binding Sites or Just Binding Likelihood?
by: Meng, Zhaohan, et al.
Published: (2026)

GCAgent: Enhancing Group Chat Communication through Dialogue Agents System
by: Meng, Zijie, et al.
Published: (2026)

AI and the Future of Digital Public Squares
by: Goldberg, Beth, et al.
Published: (2024)

Autonomous Evaluation and Refinement of Digital Agents
by: Pan, Jiayi, et al.
Published: (2024)

Multi-agent Embodied AI: Advances and Future Directions
by: Feng, Zhaohan, et al.
Published: (2025)

Agent Exchange: Shaping the Future of AI Agent Economics
by: Yang, Yingxuan, et al.
Published: (2025)

Deep Fusion of Ultra-Low-Resolution Thermal Camera and Gyroscope Data for Lighting-Robust and Compute-Efficient Rotational Odometry
by: Mohsen, Farida, et al.
Published: (2025)

Real-Time Human-Robot Interaction Intent Detection Using RGB-based Pose and Emotion Cues with Cross-Camera Model Generalization
by: Mohsen, Farida, et al.
Published: (2025)

Enhancing LLM-based Search Agents via Contribution Weighted Group Relative Policy Optimization
by: Wang, Junzhe, et al.
Published: (2026)

Empowering Clinical Trial Design through AI: A Randomized Evaluation of PowerGPT
by: Lu, Yiwen, et al.
Published: (2025)

Interfaze: The Future of AI is built on Task-Specific Small Models
by: Khurdula, Harsha Vardhan, et al.
Published: (2026)