Zobrazeno 1 - 10
of 795
pro vyhledávání: '"Liao Hao"'
Autor:
Chen, Jianlyu, Wang, Nan, Li, Chaofan, Wang, Bo, Xiao, Shitao, Xiao, Han, Liao, Hao, Lian, Defu, Liu, Zheng
Evaluation plays a crucial role in the advancement of information retrieval (IR) models. However, current benchmarks, which are based on predefined domains and human-labeled data, face limitations in addressing evaluation needs for emerging domains b
Externí odkaz:
http://arxiv.org/abs/2412.13102
Autor:
Liao, Hao, Zhang, Wei, Huang, Zhanyi, Long, Zexiao, Zhou, Mingyang, Wu, Xiaoqun, Mao, Rui, Yeung, Chi Ho
In the past decade, significant strides in deep learning have led to numerous groundbreaking applications. Despite these advancements, the understanding of the high generalizability of deep learning, especially in such an over-parametrized space, rem
Externí odkaz:
http://arxiv.org/abs/2407.20724
Numerous studies have demonstrated the manifold benefits of tennis, such as increasing overall physical and mental health. Unfortunately, many children and youth from low-income families are unable to engage in this sport mainly due to financial cons
Externí odkaz:
http://arxiv.org/abs/2406.16987
Autor:
Li, Guanghua, Lu, Wensheng, Zhang, Wei, Lian, Defu, Lu, Kezhong, Mao, Rui, Shu, Kai, Liao, Hao
The proliferation of fake news has had far-reaching implications on politics, the economy, and society at large. While Fake news detection methods have been employed to mitigate this issue, they primarily depend on two essential elements: the quality
Externí odkaz:
http://arxiv.org/abs/2403.09747
Inspired by the exceptional general intelligence of Large Language Models (LLMs), researchers have begun to explore their application in pioneering the next generation of recommender systems - systems that are conversational, explainable, and control
Externí odkaz:
http://arxiv.org/abs/2403.05063
Test of {macroscopic realism} (MR) is key to understanding the foundation of quantum mechanics. Due to the existence of the {non-invasive measurability} loophole and other interpretation loopholes, however, such test remains an open question. Here we
Externí odkaz:
http://arxiv.org/abs/2401.05246
Publikováno v:
KDD 2023
The ease of spreading false information online enables individuals with malicious intent to manipulate public opinion and destabilize social stability. Recently, fake news detection based on evidence retrieval has gained popularity in an effort to id
Externí odkaz:
http://arxiv.org/abs/2306.13450
Publikováno v:
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) 2023
Explainable recommendation is a technique that combines prediction and generation tasks to produce more persuasive results. Among these tasks, textual generation demands large amounts of data to achieve satisfactory accuracy. However, historical user
Externí odkaz:
http://arxiv.org/abs/2306.12657
In this paper, we present an algorithmic study on how to surpass competitors in popularity by strategic promotions in social networks. We first propose a novel model, in which we integrate the Preferential Attachment (PA) model for popularity growth
Externí odkaz:
http://arxiv.org/abs/2304.14971
Recent studies show that Graph Neural Networks(GNNs) are vulnerable and easily fooled by small perturbations, which has raised considerable concerns for adapting GNNs in various safety-critical applications. In this work, we focus on the emerging but
Externí odkaz:
http://arxiv.org/abs/2211.08068