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20232026
most citedCRAG -- Comprehensive RAG Benchmark

8 citations · 15 across the 20 of their papers we have counts for

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6 papers · 1 filter

cs.CV2026

MemLife: Curating and Reasoning over Long-Term Egocentric Video Memories

Guangzhi Xiong, Xinyuan Zhang, Xiao Yang +14

Long-term egocentric video enables personalized AI assistants to reason about daily life. However, as video histories grow to hundreds of hours spanning months or years, reprocessi…

cs.CV2026

MoE-ViE: Mixture of Experts Vision Encoder for Efficient Image and Video Understanding

Bonan Zhang, Shiyu Dong, Quan Hung Tran +9

Vision encoders are a critical component of vision-language models, and scaling their capacity effectively improves performance. However, dense scaling increases compute cost and i…

cs.CV2026

R3D: Quantitative 3D Spatial Reasoning for Egocentric Wearables

Maxwell Horton, Wei Lu, Quan Tran +6

Quantitative 3D spatial reasoning from egocentric RGB-D video is a critical capability for next-generation wearable assistants. Yet existing benchmarks do not reflect the challenge…

cs.CV2026

PixSearch: Region-Grounded Retrieval for Knowledgeable Large Multimodal Models

Jeonghwan Kim, Renjie Tao, Sanat Sharma +8

Multimodal Retrieval-Augmented Generation (MM-RAG) augments visual question answering (VQA) with external knowledge, but many systems rely on modular pipelines that separate visual…

cs.CV2025

CRAG-MM: Multi-modal Multi-turn Comprehensive RAG Benchmark

Jiaqi Wang, Xiao Yang, Kai Sun +38

Wearable devices such as smart glasses are transforming the way people interact with their surroundings, enabling users to seek information regarding entities in their view. Multi-…

cs.CV2024

VisualLens: Personalization through Task-Agnostic Visual History

Wang Bill Zhu, Deqing Fu, Kai Sun +8

Existing recommendation systems either rely on user interaction logs, such as online shopping history for shopping recommendations, or focus on text signals. However, item-based hi…