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cs.CV2026

AstroRAG -- A Pagerank-Based Retrieval-Augmented Generation Pipeline for Question Answering in Astronomy

Zhifeng Wang, Jason Jingshi Li, Kaihao Zhang +1

Large language models (LLMs) demonstrate strong performance in natural language processing but often generate factual errors when relying solely on parametric knowledge. Retrieval-…

cs.CV2024

MuirBench: A Comprehensive Benchmark for Robust Multi-image Understanding

Fei Wang, Xingyu Fu, James Y. Huang +18

We introduce MuirBench, a comprehensive benchmark that focuses on robust multi-image understanding capabilities of multimodal LLMs. MuirBench consists of 12 diverse multi-image tas…

cs.CV2024

PathGen-1.6M: 1.6 Million Pathology Image-text Pairs Generation through Multi-agent Collaboration

Yuxuan Sun, Yunlong Zhang, Yixuan Si +7

Vision Language Models (VLMs) like CLIP have attracted substantial attention in pathology, serving as backbones for applications such as zero-shot image classification and Whole Sl…

cs.CV2024

MagicLens: Self-Supervised Image Retrieval with Open-Ended Instructions

Kai Zhang, Yi Luan, Hexiang Hu +5

Image retrieval, i.e., finding desired images given a reference image, inherently encompasses rich, multi-faceted search intents that are difficult to capture solely using image-ba…

cs.CV2024

MagicBrush: A Manually Annotated Dataset for Instruction-Guided Image Editing

Kai Zhang, Lingbo Mo, Wenhu Chen +2

Text-guided image editing is widely needed in daily life, ranging from personal use to professional applications such as Photoshop. However, existing methods are either zero-shot o…