Cover Image

Real-World Doctor Agent with Proactive Consultation through Multi-Agent Reinforcement Learning

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Feng, Yichun, Wang, Jiawei, Zhou, Lu, Zheng, Yikai, Lei, Zhen, Li, Yixue
Format:	Preprint
Published:	2025
Subjects:	Computation and Language
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

A Retrieval-Augmented Knowledge Mining Method with Deep Thinking LLMs for Biomedical Research and Clinical Support
by: Feng, Yichun, et al.
Published: (2025)

Ask-before-Plan: Proactive Language Agents for Real-World Planning
by: Zhang, Xuan, et al.
Published: (2024)

WebSeer: Training Deeper Search Agents through Reinforcement Learning with Self-Reflection
by: He, Guanzhong, et al.
Published: (2025)

Towards Robust Real-World Spreadsheet Understanding with Multi-Agent Multi-Format Reasoning
by: Ren, Houxing, et al.
Published: (2026)

Agent-World: Scaling Real-World Environment Synthesis for Evolving General Agent Intelligence
by: Dong, Guanting, et al.
Published: (2026)

From Query to Counsel: Structured Reasoning with a Multi-Agent Framework and Dataset for Legal Consultation
by: Lu, Mingfei, et al.
Published: (2026)

ContextAgent: Context-Aware Proactive LLM Agents with Open-World Sensory Perceptions
by: Yang, Bufang, et al.
Published: (2025)

VAGEN: Reinforcing World Model Reasoning for Multi-Turn VLM Agents
by: Wang, Kangrui, et al.
Published: (2025)

Reinforcement World Model Learning for LLM-based Agents
by: Yu, Xiao, et al.
Published: (2026)

Advancing Multi-Agent RAG Systems with Minimalist Reinforcement Learning
by: Wu, Yihong, et al.
Published: (2025)

TheAgentCompany: Benchmarking LLM Agents on Consequential Real World Tasks
by: Xu, Frank F., et al.
Published: (2024)

Agent Q-Mix: Selecting the Right Action for LLM Multi-Agent Systems through Reinforcement Learning
by: Jiang, Eric Hanchen, et al.
Published: (2026)

Agent2World: Learning to Generate Symbolic World Models via Adaptive Multi-Agent Feedback
by: Hu, Mengkang, et al.
Published: (2025)

OWL: Optimized Workforce Learning for General Multi-Agent Assistance in Real-World Task Automation
by: Hu, Mengkang, et al.
Published: (2025)

VeriOS: Query-Driven Proactive Human-Agent-GUI Interaction for Trustworthy OS Agents
by: Wu, Zheng, et al.
Published: (2025)

Improving Retrieval-Augmented Generation through Multi-Agent Reinforcement Learning
by: Chen, Yiqun, et al.
Published: (2025)

DV-World: Benchmarking Data Visualization Agents in Real-World Scenarios
by: Meng, Jinxiang, et al.
Published: (2026)

Med-PMC: Medical Personalized Multi-modal Consultation with a Proactive Ask-First-Observe-Next Paradigm
by: Liu, Hongcheng, et al.
Published: (2024)

Training Proactive and Personalized LLM Agents
by: Sun, Weiwei, et al.
Published: (2025)

Reinforcement Learning for LLM-based Multi-Agent Systems through Orchestration Traces
by: Zhang, Chenchen
Published: (2026)

Optimizing Retrieval for RAG via Reinforcement Learning
by: Zhou, Jiawei, et al.
Published: (2025)

Mixture-of-Minds: Multi-Agent Reinforcement Learning for Table Understanding
by: Zhou, Yuhang, et al.
Published: (2025)

Collaborative Multi-Agent Test-Time Reinforcement Learning for Reasoning
by: Hu, Zhiyuan, et al.
Published: (2026)

Towards Human-centered Proactive Conversational Agents
by: Deng, Yang, et al.
Published: (2024)

Science Consultant Agent
by: K, Karthikeyan, et al.
Published: (2025)

Evaluating Embeddings for One-Shot Classification of Doctor-AI Consultations
by: Ojo, Olumide Ebenezer, et al.
Published: (2024)

Chaining the Evidence: Robust Reinforcement Learning for Deep Search Agents with Citation-Aware Rubric Rewards
by: Zhang, Jiajie, et al.
Published: (2026)

Discovery Agents for Real-Time Analytics: Toward Proactive Insight Systems
by: Rossiello, Gaetano, et al.
Published: (2026)

Is Vibe Coding Safe? Benchmarking Vulnerability of Agent-Generated Code in Real-World Tasks
by: Zhao, Songwen, et al.
Published: (2025)

AgentFold: Long-Horizon Web Agents with Proactive Context Management
by: Ye, Rui, et al.
Published: (2025)

ClinicalLab: Aligning Agents for Multi-Departmental Clinical Diagnostics in the Real World
by: Yan, Weixiang, et al.
Published: (2024)

MM-Doc-R1: Training Agents for Long Document Visual Question Answering through Multi-turn Reinforcement Learning
by: Lin, Jiahang, et al.
Published: (2026)

ProAgent: Harnessing On-Demand Sensory Contexts for Proactive LLM Agent Systems in the Wild
by: Yang, Bufang, et al.
Published: (2025)

Beyond Direct Diagnosis: LLM-based Multi-Specialist Agent Consultation for Automatic Diagnosis
by: Wang, Haochun, et al.
Published: (2024)

A Proactive Multi-Agent Dialogue Framework for Assessing Social Language Disorder Traits in Autism
by: Hu, Chuanbo, et al.
Published: (2026)

SkillLearnBench: Benchmarking Continual Learning Methods for Agent Skill Generation on Real-World Tasks
by: Zhong, Shanshan, et al.
Published: (2026)

From Reactive to Proactive: Assessing the Proactivity of Voice Agents via ProVoice-Bench
by: Xu, Ke, et al.
Published: (2026)

MemRL: Self-Evolving Agents via Runtime Reinforcement Learning on Episodic Memory
by: Zhang, Shengtao, et al.
Published: (2026)

Enhancing Language Agent Strategic Reasoning through Self-Play in Adversarial Games
by: Zhang, Yikai, et al.
Published: (2025)

LingxiDiagBench: A Multi-Agent Framework for Benchmarking LLMs in Chinese Psychiatric Consultation and Diagnosis
by: Xu, Shihao, et al.
Published: (2026)