Zobrazeno 1 - 10
of 1 902
pro vyhledávání: '"The Nguyen, Dung"'
This study introduces an innovative automatic labeling framework to address the challenges of lexical normalization in social media texts for low-resource languages like Vietnamese. Social media data is rich and diverse, but the evolving and varied l
Externí odkaz:
http://arxiv.org/abs/2409.20467
In fragile watermarking, a sensitive watermark is embedded in an object in a manner such that the watermark breaks upon tampering. This fragile process can be used to ensure the integrity and source of watermarked objects. While fragile watermarking
Externí odkaz:
http://arxiv.org/abs/2409.19442
Autor:
Wagner, Glenn, Nguyen, Dung X.
Electrons in a quantum Hall fluid can bind with an integer number of vortices to form composite fermions and composite bosons. We show that the quantum Hall bilayer at filling $\nu=\frac{1}{4}+\frac{3}{4}$ with interlayer separation $d$ can be well-d
Externí odkaz:
http://arxiv.org/abs/2407.07938
Despite the promise of Federated Learning (FL) for privacy-preserving model training on distributed data, it remains susceptible to backdoor attacks. These attacks manipulate models by embedding triggers (specific input patterns) in the training data
Externí odkaz:
http://arxiv.org/abs/2407.07917
CodeLLMs have gained widespread adoption for code generation tasks, yet their capacity to handle repository-level code generation with complex contextual dependencies remains underexplored. Our work underscores the critical importance of leveraging r
Externí odkaz:
http://arxiv.org/abs/2406.11927
This paper presents a novel approach in Explainable AI (XAI), integrating contrastive explanations with differential privacy in clustering methods. For several basic clustering problems, including $k$-median and $k$-means, we give efficient different
Externí odkaz:
http://arxiv.org/abs/2406.04610
Autor:
Nguyen, Dung, Vullikanti, Anil
Stochastic block models (SBMs) are a very commonly studied network model for community detection algorithms. In the standard form of an SBM, the $n$ vertices (or nodes) of a graph are generally divided into multiple pre-determined communities (or clu
Externí odkaz:
http://arxiv.org/abs/2406.02644
Autor:
Le, Hung, Tran, Quan, Nguyen, Dung, Do, Kien, Mittal, Saloni, Ogueji, Kelechi, Venkatesh, Svetha
How can Large Language Models (LLMs) be aligned with human intentions and values? A typical solution is to gather human preference on model outputs and finetune the LLMs accordingly while ensuring that updates do not deviate too far from a reference
Externí odkaz:
http://arxiv.org/abs/2405.16388
We propose Pointer-Augmented Neural Memory (PANM) to help neural networks understand and apply symbol processing to new, longer sequences of data. PANM integrates an external neural memory that uses novel physical addresses and pointer manipulation t
Externí odkaz:
http://arxiv.org/abs/2404.11870
Autor:
Nguyen, Dung Xuan, Dietz, Barbara
Publikováno v:
Physical Review B 110, 094305 (2024)
We study fluctuation properties in the energy spectra of finite-size honeycomb lattices, graphene billiards, subject to the Haldane-model onsite potential and next-nearest neighbor interaction at critical points, referred to as Haldane graphene billi
Externí odkaz:
http://arxiv.org/abs/2404.07679