1 citations · 1 across the 2 of their papers we have counts for
3 papers
cs.CV2026
When RAG Hurts: Diagnosing and Mitigating Attention Distraction in Retrieval-Augmented LVLMs
Beidi Zhao, Wenlong Deng, Xinting Liao +4
While Retrieval-Augmented Generation (RAG) is one of the dominant paradigms for enhancing Large Vision-Language Models (LVLMs) on knowledge-based VQA tasks, recent work attributes…
cs.CV2025
SlideMamba: Entropy-Based Adaptive Fusion of GNN and Mamba for Enhanced Representation Learning in Digital Pathology
Shakib Khan, Fariba Dambandkhameneh, Nazim Shaikh +3
Advances in computational pathology increasingly rely on extracting meaningful representations from Whole Slide Images (WSIs) to support various clinical and biological tasks. In t…
eess.IV2024★ 1 cited
Structured Model Pruning for Efficient Inference in Computational Pathology
Mohammed Adnan, Qinle Ba, Nazim Shaikh +3
Recent years have seen significant efforts to adopt Artificial Intelligence (AI) in healthcare for various use cases, from computer-aided diagnosis to ICU triage. However, the size…