QuarkMedSearch: A Long-Horizon Deep Search Agent for Exploring Medical Intelligence

📰 ArXiv cs.AI

Learn how QuarkMedSearch, a long-horizon deep search agent, improves medical intelligence search performance using a full-pipeline approach

advanced Published 15 Apr 2026

Action Steps

Build a medical multi-hop data construction pipeline using Tongyi DeepResearch
Train a QuarkMedSearch agent using the constructed data and evaluate its performance
Apply the QuarkMedSearch agent to a medical search scenario and compare its results with existing methods
Configure the agent's training strategies to optimize its performance in the medical domain
Test the QuarkMedSearch agent on a evaluation benchmark to assess its effectiveness

Who Needs to Know This

Data scientists and AI researchers in the medical domain can benefit from this approach to improve search performance in medical intelligence

Key Insight

💡 QuarkMedSearch improves medical intelligence search performance using a full-pipeline approach