LiteMedCoT-VL: Parameter-Efficient Adaptation for Medical Visual Question Answering

arXiv:2605.09384 · cs.CV, cs.AI, q-bio.QM · Submitted 2026-05-10 · Read on arXiv

cs.CV, cs.AI, q-bio.QM

Submitted: 2026-05-10

Updated: 2026-09-18

Comments: Accepted at NLPCC 2026 (The 15th CCF International Conference on Natural Language Processing and Chinese Computing), Springer proceedings. 17 pages, 5 figures

Code: https://github.com/R4nzer/LiteMedCoT-VL

License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/

Terminology

• Accuracy — 34× in this paper · explained in 1 episode
• Distillation — 28× in this paper · explained in 2 episodes
• Fine-Tuning — 25× in this paper · explained in 5 episodes
• Benchmark — 13× in this paper · explained in 2 episodes
• Grounding — 12× in this paper · explained in 3 episodes
• Knowledge Distillation — 12× in this paper · explained in 11 episodes
• Ablation — 11× in this paper · explained in 1 episode
• Adaptation — 7× in this paper · explained in 1 episode
• Trace — 6× in this paper · explained in 2 episodes
• Visual Grounding — 6× in this paper · explained in 2 episodes
• Reinforcement Learning — 5× in this paper · explained in 4 episodes
• Transformer — 5× in this paper · explained in 2 episodes
• Hallucination — 3× in this paper · explained in 3 episodes
• Parameter-Efficient Fine-Tuning — 3× in this paper · explained in 2 episodes
• Reasoning Traces — 3× in this paper · explained in 3 episodes
• Verification — 3× in this paper · explained in 2 episodes
• Ablation study — 2× in this paper · explained in 1 episode
• Agentic Framework — 2× in this paper · explained in 6 episodes
• Foundation Model — 2× in this paper · explained in 3 episodes
• Foundation Models — 2× in this paper · explained in 7 episodes
• GRPO — 2× in this paper · explained in 6 episodes
• Multimodal Reasoning — 2× in this paper · explained in 5 episodes
• Structured Reasoning — 2× in this paper · explained in 3 episodes
• Vision-Language Models (VLMs) — 2× in this paper · explained in 6 episodes
• Accountability — 1× in this paper · explained in 2 episodes
• AdamW Optimizer — 1× in this paper · explained in 1 episode
• Alignment — 1× in this paper · explained in 1 episode
• Causal Inference — 1× in this paper · explained in 4 episodes
• Chain-of-Thought (CoT) — 1× in this paper · explained in 4 episodes
• Consistency — 1× in this paper · explained in 3 episodes
• Contrastive Learning — 1× in this paper · explained in 5 episodes
• Convolutional Neural Networks (CNNs) — 1× in this paper · explained in 2 episodes
• Core — 1× in this paper · explained in 2 episodes
• Fidelity — 1× in this paper · explained in 2 episodes
• Generalization — 1× in this paper · explained in 13 episodes
• Hallucinated Visual Reasoning Rate — 1× in this paper
• Image Sensitivity — 1× in this paper
• Instruction Tuning — 1× in this paper · explained in 2 episodes
• LoRA Adaptation — 1× in this paper · explained in 2 episodes
• Multimodal Dataset — 1× in this paper · explained in 2 episodes
• Multimodal Fusion — 1× in this paper · explained in 3 episodes
• Multimodal Integration — 1× in this paper · explained in 2 episodes
• Prompt Engineering — 1× in this paper · explained in 4 episodes
• Quantization — 1× in this paper · explained in 12 episodes
• Self-consistency — 1× in this paper · explained in 2 episodes
• Tokenization — 1× in this paper · explained in 2 episodes
• Transfer Learning — 1× in this paper · explained in 10 episodes
• Unified Framework — 1× in this paper · explained in 5 episodes
• Verifiable Rewards — 1× in this paper · explained in 2 episodes
• Visual Reliance Score — 1× in this paper

Sources

• Gemini 1.5: Unlocking multimodal understanding across millions of tokens of context
• A Comprehensive Survey on Knowledge Distillation
• Step-CoT: Stepwise Visual Chain-of-Thought for Medical Visual Question Answering
• CheXthought: A global multimodal dataset of clinical chain-of-thought reasoning and visual attention for chest X-ray interpretation
• Improving Medical VQA through Trajectory-Aware Process Supervision
• CARE: Towards Clinical Accountability in Multi-Modal Medical Reasoning with an Evidence-Grounded Agentic Framework
• Elicit and Enhance: Advancing Multimodal Reasoning in Medical Scenarios
• PMC-VQA: Visual Instruction Tuning for Medical Visual Question Answering
• Qwen3-VL Technical Report
• TransUNet: Transformers Make Strong Encoders for Medical Image Segmentation
• PathVQA: 30000+ Questions for Medical Visual Question Answering
• Knowledge Distillation Based on Transformed Teacher Matching
• Phi-3 Technical Report: A Highly Capable Language Model Locally on Your Phone
• SmolVLM: Redefining small and efficient multimodal models
• Self-Consistency Improves Chain of Thought Reasoning in Language Models
• MIRAGE: The Illusion of Visual Understanding
• MedVR: Annotation-Free Medical Visual Reasoning via Agentic Reinforcement Learning
• Think Twice to See More: Iterative Visual Reasoning in Medical VLMs
• Dual Causal Inference: Integrating Backdoor Adjustment and Instrumental Variable Learning for Medical VQA
• Beyond Accuracy: Evaluating Visual Grounding In Multimodal Medical Reasoning

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