Latest Research in Multimodal Machine Learning Applications
16 research papers · 2026 median publication year
Top Research Topics in Multimodal Machine Learning Applications
- Computer Vision and Pattern Recognition — 10 papers
- Multimodal Machine Learning Applications — 3 papers
- Artificial Intelligence — 2 papers
- Image and Video Processing — 1 papers
Highest-Cited Papers
- MedUP: Awakening Unified Understanding and Perception in Medical Vision-Language Models
- Frequency-Domain Dual-Branch Fusion for Medical Visual Question Answering
- CARE-X: Towards Clinically Useful Radiology VLMs with Auxiliary Supervision, Reward-Aligned Learning, and Tool-Augmented Measurement
- LocAnyMed: Vision-Language Grounding for Multimodal Medical Images
- Learning to See Locally and Align Clinically with Pathology Semantics for Radiology Report Generation
- MedHallTune: An Instruction-Tuning Benchmark for Mitigating Medical Hallucination in Vision-Language Models
- MedInsight: Evaluating Retrieval-Augmented Vision-Language Models for Evidence-Grounded Medical Image Understanding
- MedInsight: Evaluating Retrieval-Augmented Vision-Language Models for Evidence-Grounded Medical Image Understanding
- Towards Grounded GI Endoscopy VQA via Multi-Task Learning on Small VLMs
- ClinFusion: A Vision-Centric Multimodal LLM System for Holistic Medical Understanding
- Patient-Specific Multimodal Learning with Multi-View Contrastive Alignment for Chest X-ray Report Generation
- DobicVLM: Aligning Chest X-Ray Report Generation with Clinically-Grounded Programmatic Rewards via Group Relative Policy Optimization
- CLARK: Closed-loop Learning for Adaptive Reasoning over Knowledge Graphs
- Overview of the NLPCC 2026 Shared Task 1: Difficulty-Aware Multilingual and Multimodal Medical Instructional Video Understanding Evaluation
- MedLVR: Latent Visual Reasoning for Reliable Medical Visual Question Answering
- Towards Enhancing 3D Spatial Reasoning in Medical Multimodal Large Language Models