InfiMed2: A Generalist Medical Multimodal Foundation Model from Contextual Evidence and Stability-Aware Supervision

arXiv:2609.34798 · cs.CL, cs.CV · Submitted 2026-09-28 · Read on arXiv

cs.CL, cs.CV

Submitted: 2026-09-28

Updated: 2026-10-07

Terminology

• Benchmark — 21× in this paper · explained in 2 episodes
• Accuracy — 16× in this paper · explained in 1 episode
• Adaptation — 15× in this paper · explained in 1 episode
• Alignment — 8× in this paper · explained in 1 episode
• Fine-Tuning — 7× in this paper · explained in 5 episodes
• Foundation Model — 7× in this paper · explained in 3 episodes
• Ablation — 6× in this paper · explained in 1 episode
• Reinforcement Learning — 6× in this paper · explained in 4 episodes
• Consistency — 5× in this paper · explained in 3 episodes
• Verifiable Rewards — 5× in this paper · explained in 2 episodes
• Conference on Computer Vision and Pattern Recognition — 3× in this paper
• Foundation Models — 3× in this paper · explained in 7 episodes
• Provenance — 3× in this paper · explained in 4 episodes
• Self-consistency — 3× in this paper · explained in 2 episodes
• Domain Adaptation — 2× in this paper · explained in 5 episodes
• Grounding — 2× in this paper · explained in 3 episodes
• Multimodal Dataset — 2× in this paper · explained in 2 episodes
• Supervised Fine-Tuning (SFT) — 2× in this paper · explained in 8 episodes
• Ablation Studies — 1× in this paper · explained in 1 episode
• Adam — 1× in this paper · explained in 2 episodes
• Benchmarking — 1× in this paper · explained in 3 episodes
• Failure Modes — 1× in this paper · explained in 3 episodes
• Generative AI — 1× in this paper · explained in 2 episodes
• Generative Model — 1× in this paper · explained in 2 episodes
• Generative Models — 1× in this paper · explained in 2 episodes
• Instruction Tuning — 1× in this paper · explained in 2 episodes
• KL Regularization — 1× in this paper · explained in 2 episodes
• Parameter Efficiency — 1× in this paper · explained in 3 episodes
• Regularization — 1× in this paper · explained in 3 episodes
• Transfer Learning — 1× in this paper · explained in 10 episodes
• Verification — 1× in this paper · explained in 2 episodes
• Verifier — 1× in this paper · explained in 2 episodes

Sources

• LLaVA-OneVision-1.5: Fully Open Framework for Democratized Multimodal Training
• Qwen3-VL Technical Report
• Hulu-Med: A Transparent Generalist Model towards Holistic Medical Vision-Language Understanding
• Semantic Uncertainty: Linguistic Invariances for Uncertainty Estimation in Natural Language Generation
• MedGemma Technical Report
• MedXIAOHE: A Comprehensive Recipe for Building Medical MLLMs
• MinerU: An Open-Source Solution for Precise Document Content Extraction
• Self-Consistency Improves Chain of Thought Reasoning in Language Models
• Lingshu: A Generalist Foundation Model for Unified Multimodal Medical Understanding and Reasoning
• Qwen3 Technical Report
• BiomedCLIP: a multimodal biomedical foundation model pretrained from fifteen million scientific image-text pairs
• PMC-VQA: Visual Instruction Tuning for Medical Visual Question Answering
• Beyond Captions: Context-Grounded Reconstruction for Biomedical Multimodal Continued Pretraining
• MedXpertQA: Benchmarking Expert-Level Medical Reasoning and Understanding

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