Papersby GlyphX-Ragent: Tool-Augmented Reinforcement Learning for Evidence-Grounded Chest X-Ray Reasoning research paper by Carnegie Mellon University, 2026
Carnegie Mellon University · Applied AI · Oct 12, 2026 · 0 citations · 44 upvotes · unverified
What it shows
This paper introduces a reinforcement learning framework for medical agents that selectively uses external evidence to improve diagnostic reasoning in chest X-rays.
By Yi Wang, Zhenlong Yuan, Yuchan Guo and 9 more · arXiv 2610.16811 · PDF
UnverifiedSummarised by a model from the abstract; not yet checked by hand.
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About this paper
- Citations
- 0, 0 influential · Semantic Scholar
- Upvotes
- 44 · Hugging Face
- Lab
- Carnegie Mellon University
Changes
A first count of 0 influential citations.
A first count of 0 citations.
Hugging Face upvotes fell from 81 to 44.
This paper introduces a reinforcement learning framework for medical agents that selectively uses external evidence to improve diagnostic reasoning in chest X-rays.
Moved from Reasoning to Applied AI.
Found by the weekly Hugging Face scan; not yet checked by hand.