Zobrazeno 1 - 10
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pro vyhledávání: '"Van Nguyen AT"'
Vietnamese, a low-resource language, is typically categorized into three primary dialect groups that belong to Northern, Central, and Southern Vietnam. However, each province within these regions exhibits its own distinct pronunciation variations. De
Externí odkaz:
http://arxiv.org/abs/2410.03458
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
Real-time accurate solutions of large-scale complex dynamical systems are critically needed for control, optimization, uncertainty quantification, and decision-making in practical engineering and science applications, particularly in digital twin con
Externí odkaz:
http://arxiv.org/abs/2409.18371
This paper has two primary objectives. First, we investigate fundamental qualitative properties of the generalized multi-source Weber problem formulated using the Minkowski gauge function. This includes proving the existence of global optimal solutio
Externí odkaz:
http://arxiv.org/abs/2409.13635
In this article, we propose the R2GQA system, a Retriever-Reader-Generator Question Answering system, consisting of three main components: Document Retriever, Machine Reader, and Answer Generator. The Retriever module employs advanced information ret
Externí odkaz:
http://arxiv.org/abs/2409.02840
In this work we revisit the existence, uniqueness and exponential decay of some classes of mild solutions which are almost periodic (AP-), asymptotically almost periodic (AAP-) and pseudo almost periodic (PAP-) of the scalar Lin\'eard equation by emp
Externí odkaz:
http://arxiv.org/abs/2408.12094
Predicting human gaze behavior within computer vision is integral for developing interactive systems that can anticipate user attention, address fundamental questions in cognitive science, and hold implications for fields like human-computer interact
Externí odkaz:
http://arxiv.org/abs/2407.00129
Human-AI collaboration to identify and correct perceptual errors in chest radiographs has not been previously explored. This study aimed to develop a collaborative AI system, CoRaX, which integrates eye gaze data and radiology reports to enhance diag
Externí odkaz:
http://arxiv.org/abs/2406.19686
Autor:
Kumar, Ishita, Viswanathan, Snigdha, Yerra, Sushrita, Salemi, Alireza, Rossi, Ryan A., Dernoncourt, Franck, Deilamsalehy, Hanieh, Chen, Xiang, Zhang, Ruiyi, Agarwal, Shubham, Lipka, Nedim, Van Nguyen, Chien, Nguyen, Thien Huu, Zamani, Hamed
Long-text generation is seemingly ubiquitous in real-world applications of large language models such as generating an email or writing a review. Despite the fundamental importance and prevalence of long-text generation in many practical applications
Externí odkaz:
http://arxiv.org/abs/2407.11016
The development of Natural Language Processing (NLI) datasets and models has been inspired by innovations in annotation design. With the rapid development of machine learning models today, the performance of existing machine learning models has quick
Externí odkaz:
http://arxiv.org/abs/2406.17716