Open Ended Medical Reinforcement Learning

[ICMR'21, Best Poster Paper Award] Medical Visual Question Answering with Multi-task Pre-training and Cross-modal Self-attention

Synthetic medical VQA pipeline: 119K images annotated by frontier VLMs, cross-validated at 93% agreement, fine-tuned on 3 model families (2-3B params)

Official repository for the ACL 2025 Findings paper "Worse than Random? An Embarrassingly Simple Probing Evaluation of Large Multimodal Models in Medical VQA"

[IEEE TMI'22] VQAMix: Conditional Triplet Mixup for Medical Visual Question Answering

Visual Question Answering in the Medical Domain

Vietnamese Medical Visual Question Answering

MERGETUNE-inspired continued fine-tuning for cross-domain medical VQA transfer between VQA-RAD and PathVQA.

Giving eyes to a blind medical LLM: applying VoRA (Vision as LoRA) to BioMistral-7B for radiology Visual Question Answering on chest X-rays.

Healthcare Multimodal RAG system for medical visual question answering and retrieval-augmented reasoning using LLaVA, QLoRA, OpenI chest X-rays, and scalable modular architecture with future ColQwen2, BM25, CLIP, RRF, and Qwen2-VL integration.

Official repo for hedge-bench PyPI package for hallucination detection in vision-language VQA models, including the codebase for the paper “HEDGE: Hallucination Estimation via Dense Geometric Entropy for VQA with Vision-Language Models.”

A curated literature resource hub for Medical Visual Question Answering, covering surveys, datasets, benchmarks, evaluation metrics, representative methods, and multimodal medical agents, with a focus on the shift from passive answer prediction to active, evidence-seeking clinical inquiry.

Medical PRM pipeline for VQA datasets with commercial, open-model, and demo backends