ChestAgentBench

Headlines · 1

1. Oct 11
   X-Ragent: tool-augmented RL for chest X-ray reasoning

   A new arXiv paper introduces X-Ragent, a post-training framework for tool-augmented reinforcement learning aimed at evidence-grounded chest X-ray (CXR) reasoning. The method decouples learned auxiliary-evidence seeking from validity-gated quantitative measurement acquisition, initializes Qwen3-VL-8B via agentic supervised fine-tuning on Rad-CoT (a 7.7K-sample corpus of causally ordered tool-augmented trajectories plus report-style diagnostic reasoning), then optimizes with GRPO using an accuracy-gated reward that applies measurement-consistency and tool-cost terms only to correct trajectories. The authors report the strongest results across three CXR benchmarks, including an 8.6-point gain on the fully held-out ChestAgentBench.

   Hugging Face · Papers · 🔥 0

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