Zobrazeno 1 - 10
of 10 807
pro vyhledávání: '"WANG, Xinyu"'
Various processing-in-memory (PIM) accelerators based on various devices, micro-architectures, and interfaces have been proposed to accelerate deep neural networks (DNNs). How to deploy DNNs onto PIM-based accelerators is the key to explore PIM's hig
Externí odkaz:
http://arxiv.org/abs/2411.09159
Autor:
Zhang, Zhen, Wang, Xinyu, Jiang, Yong, Chen, Zhuo, Mu, Feiteng, Hu, Mengting, Xie, Pengjun, Huang, Fei
Large Language Models (LLMs) are increasingly recognized for their practical applications. However, these models often encounter challenges in dynamically changing knowledge, as well as in managing unknown static knowledge. Retrieval-Augmented Genera
Externí odkaz:
http://arxiv.org/abs/2411.06207
Autor:
Li, Yangning, Li, Yinghui, Wang, Xinyu, Jiang, Yong, Zhang, Zhen, Zheng, Xinran, Wang, Hui, Zheng, Hai-Tao, Xie, Pengjun, Yu, Philip S., Huang, Fei, Zhou, Jingren
Multimodal Retrieval Augmented Generation (mRAG) plays an important role in mitigating the "hallucination" issue inherent in multimodal large language models (MLLMs). Although promising, existing heuristic mRAGs typically predefined fixed retrieval p
Externí odkaz:
http://arxiv.org/abs/2411.02937
Searching for long-lived particles (LLPs) beyond the Standard Model (SM) is a promising direction in collider experiments. The Georgi-Machacek (GM) model extends the scalar sector in the SM by introducing various new scalar bosons. In this study, we
Externí odkaz:
http://arxiv.org/abs/2410.19561
Autor:
Wang, Xinyu, Zhang, Wenbo, Koneru, Sai, Guo, Hangzhi, Mingole, Bonam, Sundar, S. Shyam, Rajtmajer, Sarah, Yadav, Amulya
With the rise of AI-generated content spewed at scale from large language models (LLMs), genuine concerns about the spread of fake news have intensified. The perceived ability of LLMs to produce convincing fake news at scale poses new challenges for
Externí odkaz:
http://arxiv.org/abs/2410.19250
In today's global digital landscape, misinformation transcends linguistic boundaries, posing a significant challenge for moderation systems. While significant advances have been made in misinformation detection, the focus remains largely on monolingu
Externí odkaz:
http://arxiv.org/abs/2410.18390
The automated extraction of rural roads is pivotal for rural development and transportation planning, serving as a cornerstone for socio-economic progress. Current research primarily focuses on road extraction in urban areas. However, rural roads pre
Externí odkaz:
http://arxiv.org/abs/2410.10389
In the past, Retrieval-Augmented Generation (RAG) methods split text into chunks to enable language models to handle long documents. Recent tree-based RAG methods are able to retrieve detailed information while preserving global context. However, wit
Externí odkaz:
http://arxiv.org/abs/2410.04790
Real-world environments require robots to continuously acquire new skills while retaining previously learned abilities, all without the need for clearly defined task boundaries. Storing all past data to prevent forgetting is impractical due to storag
Externí odkaz:
http://arxiv.org/abs/2410.02995
Common revenue allocation in DMUs with two stages based on DEA cross-efficiency and cooperative game
In this paper, we examine two-stage production organizations as decision-making units (DMUs) that can collaborate to form alliances. We present a novel approach to transform a grand coalition of n DMUs with a two-stage structure into 2n single-stage
Externí odkaz:
http://arxiv.org/abs/2409.08502