Recent visual document retrieval (VDR) systems such as ColPali use multi-vector page embeddings, in which patch-level vectors enable fine-grained evidence matching but incur substantial index storage and MaxSim scoring overhead. Post-hoc merging offers a practical route to efficient VDR by reducing this cost without re...
A novel recommendation agent framework, termed as ReMem, that combines OCR-based multimodal perception with time-evolving dynamic memory, which allows the agent to preserve evolving user preferences without relying on external memory modules or disrupting the standard autoregressive generation process.
Hao-Hao Qu, Yong-Cheng Jing, Chun-Hin Chan et al.· 0 citations
By centering smart glasses as wearable-intelligence platforms, this survey provides a unified framework for organizing technologies, applications, and open challenges in this emerging area.
Xu Yuan, Yi Wang, Zhuo-Hang Jiang et al.· 0 citations
DLMRec is proposed, a discrete diffusion language model tailored for recommendation that offers a compelling alternative to autoregressive generation and introduces three key components to bridge diffusion language modeling with recommendation.
Chengyi Liu, Yong-Qi Zhou, Jun-Wei Pan et al.· arXiv.org· 1 citation
A comprehensive, domain-wide knowledge graph built with expert-level precision and professionalism is proposed, constructed through a three-stage agentic pipeline that extracts high-fidelity knowledge cores from authoritative textbooks and strengthens structural connectivity through cross-domain augmentation and genera...
Yujuan Ding, Linyin Luo, Shijie Wang et al.· 0 citations
A three-stage investigation framework is established to empirically study the inference design space of multimodal pLMs across three representative pLMs and four fundamental tasks, and to derive conclusions about base models that differ from prior consensus.
Yi Zhou, Qiping Wang, Yunqing Liu et al.· 0 citations
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