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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.CL2026

IdeaScientist: Orchestrating Agents for Grounded Scientific Ideation

Jiarui Liu, Renjie Tao, Yiwei Liao +15

Despite rapid progress in automating scientific research, generating promising and well grounded research solutions remains a central challenge. We isolate research ideation as a s…

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.CL2026

SaliMory: Orchestrating Cognitive Memory for Conversational Agents

Kai Zhang, Xinyuan Zhang, Hongda Jiang +11

Conversational agents that serve as lifelong companions must maintain persistent memory across all interactions. However, simply expanding context windows with raw retrieval degrad…

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…