Zobrazeno 1 - 10
of 10 254
pro vyhledávání: '"Pan, Li"'
Autor:
Xu, Nuo, Wang, Pinghui, Zhao, Junzhou, Sun, Feiyang, Lan, Lin, Tao, Jing, Pan, Li, Guan, Xiaohong
Legal Judgment Prediction (LJP) aims to automatically predict a law case's judgment results based on the text description of its facts. In practice, the confusing law articles (or charges) problem frequently occurs, reflecting that the law cases appl
Externí odkaz:
http://arxiv.org/abs/2408.09422
Autor:
Pan, Li, Zhang, Yupei, Yang, Qiushi, Li, Tan, Xing, Xiaohan, Yeung, Maximus C. F., Chen, Zhen
Recently, multimodal deep learning, which integrates histopathology slides and molecular biomarkers, has achieved a promising performance in glioma grading. Despite great progress, due to the intra-modality complexity and inter-modality heterogeneity
Externí odkaz:
http://arxiv.org/abs/2408.08527
Autor:
Li, Weichen, Huang, Xiaotong, Zheng, Jianwu, Wang, Zheng, Wang, Chaokun, Pan, Li, Li, Jianhua
We introduce rLLM (relationLLM), a PyTorch library designed for Relational Table Learning (RTL) with Large Language Models (LLMs). The core idea is to decompose state-of-the-art Graph Neural Networks, LLMs, and Table Neural Networks into standardized
Externí odkaz:
http://arxiv.org/abs/2407.20157
Blockchain technology has seen tremendous development over the past few years. Despite the emergence of numerous blockchain systems, they all suffer from various limitations, which can all be attributed to the fundamental issue posed by the DCS trile
Externí odkaz:
http://arxiv.org/abs/2406.12376
Most Fake News Detection (FND) methods often struggle with data scarcity for emerging news domain. Recently, prompt learning based on Pre-trained Language Models (PLM) has emerged as a promising approach in domain adaptive few-shot learning, since it
Externí odkaz:
http://arxiv.org/abs/2406.10870
Medical multi-modal pre-training has revealed promise in computer-aided diagnosis by leveraging large-scale unlabeled datasets. However, existing methods based on masked autoencoders mainly rely on data-level reconstruction tasks, but lack high-level
Externí odkaz:
http://arxiv.org/abs/2404.06057
The construction of large open knowledge bases (OKBs) is integral to many knowledge-driven applications on the world wide web such as web search. However, noun phrases and relational phrases in OKBs often suffer from redundancy and ambiguity, which c
Externí odkaz:
http://arxiv.org/abs/2403.14733
Autor:
Zhang, Xiaohan, Zhang, Cen, Li, Xinghua, Du, Zhengjie, Mao, Bing, Li, Yuekang, Zheng, Yaowen, Li, Yeting, Pan, Li, Liu, Yang, Deng, Robert H.
Communication protocols form the bedrock of our interconnected world, yet vulnerabilities within their implementations pose significant security threats. Recent developments have seen a surge in fuzzing-based research dedicated to uncovering these vu
Externí odkaz:
http://arxiv.org/abs/2401.01568
The identification of essential proteins in protein-protein interaction networks (PINs) can help to discover drug targets and prevent disease. In order to improve the accuracy of the identification of essential proteins, researchers attempted to obta
Externí odkaz:
http://arxiv.org/abs/2312.03773
The identification of essential proteins can help in understanding the minimum requirements for cell survival and development. Network-based centrality approaches are commonly used to identify essential proteins from protein-protein interaction netwo
Externí odkaz:
http://arxiv.org/abs/2311.05642