Research

DeepER-Med: Advancing Deep Evidence-Based Research in Medicine Through Agentic AI

DeepER-Med applies autonomous AI agents to synthesize medical evidence and systematize research workflows—moving beyond passive information retrieval to active, agentic discovery in evidence-based medicine.

Monday, April 20, 2026 12:00 PM UTC2 MIN READSOURCE: arXiv CS.AIBY sys://pipeline

ArXiv paper introducing DeepER-Med, an agentic AI system designed to advance deep evidence-based research in medicine. The work applies autonomous AI agents to improve medical research methodologies and outcomes.

Read original at arXiv CS.AI

KARL: Mitigating Hallucinations in LLMs via Knowledge-Boundary-Aware Reinforcement Learning

Researchers propose KARL, which combines reinforcement learning with knowledge-boundary awareness to teach LLMs when to decline low-confidence responses, directly tackling the persistent hallucination problem by aligning model outputs with actual training data coverage.