A doctrine-grounded visual question answering dataset for Tactical Combat Casualty Care
cs.CV, cs.AI, cs.CL
Submitted: 2026-10-05
Updated: 2026-10-05
Code: https://github.com/Breakthrough/PySceneDetect
Sources
- PathVQA: 30000+ Questions for Medical Visual Question Answering
- How Well Can General Vision-Language Models Learn Medicine By Watching Public Educational Videos?
- MedVH: Towards Systematic Evaluation of Hallucination for Large Vision Language Models in the Medical Context
- Qwen2.5-VL Technical Report
- InternVL3: Exploring Advanced Training and Test-Time Recipes for Open-Source Multimodal Models
- SAM 2: Segment Anything in Images and Videos
- Qwen3-VL Technical Report
- MedGemma Technical Report
- Qwen2-VL: Enhancing Vision-Language Model's Perception of the World at Any Resolution
- Phi-3 Technical Report: A Highly Capable Language Model Locally on Your Phone
- Phi-4 Technical Report
- gpt-oss-120b & gpt-oss-20b Model Card
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