Automatic Construction of Clinical Scoring Systems with LLM Agents
Fuente:
arXiv
Saved in:
| Main Authors: | Estévez, Silas Ruhrberg, Chiu, Christopher, van der Schaar, Mihaela |
|---|---|
| Format: | Preprint |
| Published: |
2026
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Strategic Self-Improvement for Competitive Agents in AI Labour Markets
by: Chiu, Christopher, et al.
Published: (2025)
by: Chiu, Christopher, et al.
Published: (2025)
Multi-Agent Systems Should be Treated as Principal-Agent Problems
by: Rauba, Paulius, et al.
Published: (2026)
by: Rauba, Paulius, et al.
Published: (2026)
Hypothesis Hunting with Evolving Networks of Autonomous Scientific Agents
by: Liu, Tennison, et al.
Published: (2025)
by: Liu, Tennison, et al.
Published: (2025)
Fast Generalization after Interpolation via Critically Damped Momentum Optimization
by: Muscarnera, Luca, et al.
Published: (2026)
by: Muscarnera, Luca, et al.
Published: (2026)
GameTalk: Training LLMs for Strategic Conversation
by: Vendrell, Victor Conchello, et al.
Published: (2026)
by: Vendrell, Victor Conchello, et al.
Published: (2026)
Knowledge-Informed Kernel State Reconstruction from Heterogeneous Partial Observations
by: Muscarnera, Luca, et al.
Published: (2026)
by: Muscarnera, Luca, et al.
Published: (2026)
Cut the Crap: An Economical Communication Pipeline for LLM-based Multi-Agent Systems
by: Zhang, Guibin, et al.
Published: (2024)
by: Zhang, Guibin, et al.
Published: (2024)
An Adversary-Resistant Multi-Agent LLM System via Credibility Scoring
by: Ebrahimi, Sana, et al.
Published: (2025)
by: Ebrahimi, Sana, et al.
Published: (2025)
An Initial Introduction to Cooperative Multi-Agent Reinforcement Learning
by: Amato, Christopher
Published: (2024)
by: Amato, Christopher
Published: (2024)
Emergence of Hierarchies in Multi-Agent Self-Organizing Systems Pursuing a Joint Objective
by: Chen, Gang, et al.
Published: (2025)
by: Chen, Gang, et al.
Published: (2025)
An Introduction to Centralized Training for Decentralized Execution in Cooperative Multi-Agent Reinforcement Learning
by: Amato, Christopher
Published: (2024)
by: Amato, Christopher
Published: (2024)
Timely Clinical Diagnosis through Active Test Selection
by: Estévez, Silas Ruhrberg, et al.
Published: (2025)
by: Estévez, Silas Ruhrberg, et al.
Published: (2025)
Get Experience from Practice: LLM Agents with Record & Replay
by: Feng, Erhu, et al.
Published: (2025)
by: Feng, Erhu, et al.
Published: (2025)
GoAgent: Group-of-Agents Communication Topology Generation for LLM-based Multi-Agent Systems
by: Chen, Hongjiang, et al.
Published: (2026)
by: Chen, Hongjiang, et al.
Published: (2026)
Implicitly Aligning Humans and Autonomous Agents through Shared Task Abstractions
by: Aroca-Ouellette, Stéphane, et al.
Published: (2025)
by: Aroca-Ouellette, Stéphane, et al.
Published: (2025)
TeamTR: Trust-Region Fine-Tuning for Multi-Agent LLM Coordination
by: Xie, Yi, et al.
Published: (2026)
by: Xie, Yi, et al.
Published: (2026)
Governance-Aware Agent Telemetry for Closed-Loop Enforcement in Multi-Agent AI Systems
by: Pathak, Anshul, et al.
Published: (2026)
by: Pathak, Anshul, et al.
Published: (2026)
LLM Economist: Large Population Models and Mechanism Design in Multi-Agent Generative Simulacra
by: Karten, Seth, et al.
Published: (2025)
by: Karten, Seth, et al.
Published: (2025)
Conformal Off-Policy Prediction for Multi-Agent Systems
by: Kuipers, Tom, et al.
Published: (2024)
by: Kuipers, Tom, et al.
Published: (2024)
Verifiability-First Agents: Provable Observability and Lightweight Audit Agents for Controlling Autonomous LLM Systems
by: Gupta, Abhivansh
Published: (2025)
by: Gupta, Abhivansh
Published: (2025)
Memory-R2: Fair Credit Assignment for Long-Horizon Memory-Augmented LLM Agents
by: Yan, Sikuan, et al.
Published: (2026)
by: Yan, Sikuan, et al.
Published: (2026)
Multi-Agent Systems are Mixtures of Experts: Who Becomes an Influencer?
by: Bause, Franka, et al.
Published: (2026)
by: Bause, Franka, et al.
Published: (2026)
Graph Attention Inference of Network Topology in Multi-Agent Systems
by: Kolli, Akshay, et al.
Published: (2024)
by: Kolli, Akshay, et al.
Published: (2024)
Approximate Global Convergence of Independent Learning in Multi-Agent Systems
by: Jin, Ruiyang, et al.
Published: (2024)
by: Jin, Ruiyang, et al.
Published: (2024)
MasRouter: Learning to Route LLMs for Multi-Agent Systems
by: Yue, Yanwei, et al.
Published: (2025)
by: Yue, Yanwei, et al.
Published: (2025)
Information-Theoretic Privacy Control for Sequential Multi-Agent LLM Systems
by: Asif, Sadia, et al.
Published: (2026)
by: Asif, Sadia, et al.
Published: (2026)
AutoSurrogate: An LLM-Driven Multi-Agent Framework for Autonomous Construction of Deep Learning Surrogate Models in Subsurface Flow
by: Liu, Jiale, et al.
Published: (2026)
by: Liu, Jiale, et al.
Published: (2026)
Communication Learning in Multi-Agent Systems from Graph Modeling Perspective
by: Hu, Shengchao, et al.
Published: (2024)
by: Hu, Shengchao, et al.
Published: (2024)
cMALC-D: Contextual Multi-Agent LLM-Guided Curriculum Learning with Diversity-Based Context Blending
by: Satheesh, Anirudh, et al.
Published: (2025)
by: Satheesh, Anirudh, et al.
Published: (2025)
LEED: A Highly Efficient and Scalable LLM-Empowered Expert Demonstrations Framework for Multi-Agent Reinforcement Learning
by: Duan, Tianyang, et al.
Published: (2025)
by: Duan, Tianyang, et al.
Published: (2025)
Active Learning for Communication Structure Optimization in LLM-Based Multi-Agent Systems
by: Yang, Huchen, et al.
Published: (2026)
by: Yang, Huchen, et al.
Published: (2026)
Offline Multi-agent Reinforcement Learning via Sequential Score Decomposition
by: Qiao, Dan, et al.
Published: (2025)
by: Qiao, Dan, et al.
Published: (2025)
Automatic Gradient Estimation for Calibrating Crowd Models with Discrete Decision Making
by: Andelfinger, Philipp, et al.
Published: (2024)
by: Andelfinger, Philipp, et al.
Published: (2024)
Learning Incentive Structures for Cooperative Resilience in Multi-Agent Systems under Social Dilemmas
by: Chacon-Chamorro, Manuela, et al.
Published: (2026)
by: Chacon-Chamorro, Manuela, et al.
Published: (2026)
Designing Dynamic Pricing for Bike-sharing Systems via Differentiable Agent-based Simulation
by: Mitomi, Tatsuya, et al.
Published: (2025)
by: Mitomi, Tatsuya, et al.
Published: (2025)
Talk Structurally, Act Hierarchically: A Collaborative Framework for LLM Multi-Agent Systems
by: Wang, Zhao, et al.
Published: (2025)
by: Wang, Zhao, et al.
Published: (2025)
Multi-Agent Training-free Urban Food Delivery System using Resilient UMST Network
by: Hasan, Md Nahid, et al.
Published: (2026)
by: Hasan, Md Nahid, et al.
Published: (2026)
SkillX: Automatically Constructing Skill Knowledge Bases for Agents
by: Wang, Chenxi, et al.
Published: (2026)
by: Wang, Chenxi, et al.
Published: (2026)
Ready from Day 1: Population-Aware Coordination for Large-Scale Constrained Multi-Agent Systems
by: Wang, Angel, et al.
Published: (2026)
by: Wang, Angel, et al.
Published: (2026)
The Value of Variance: Mitigating Debate Collapse in Multi-Agent Systems via Uncertainty-Driven Policy Optimization
by: Tang, Luoxi, et al.
Published: (2026)
by: Tang, Luoxi, et al.
Published: (2026)
Similar Items
-
Strategic Self-Improvement for Competitive Agents in AI Labour Markets
by: Chiu, Christopher, et al.
Published: (2025) -
Multi-Agent Systems Should be Treated as Principal-Agent Problems
by: Rauba, Paulius, et al.
Published: (2026) -
Hypothesis Hunting with Evolving Networks of Autonomous Scientific Agents
by: Liu, Tennison, et al.
Published: (2025) -
Fast Generalization after Interpolation via Critically Damped Momentum Optimization
by: Muscarnera, Luca, et al.
Published: (2026) -
GameTalk: Training LLMs for Strategic Conversation
by: Vendrell, Victor Conchello, et al.
Published: (2026)