On-device language models: A comprehensive review

J Xu, Z Li, W Chen, Q Wang, X Gao, Q Cai… - arxiv preprint arxiv …, 2024 - arxiv.org
The advent of large language models (LLMs) revolutionized natural language processing
applications, and running LLMs on edge devices has become increasingly attractive for …

Image Captioning in news report scenario

T Liu, Q Cai, C Xu, B Hong, J **ong, Y Qiao… - arxiv preprint arxiv …, 2024 - arxiv.org
Image captioning strives to generate pertinent captions for specified images, situating itself
at the crossroads of Computer Vision (CV) and Natural Language Processing (NLP). This …

The new agronomists: Language models are experts in crop management

J Wu, Z Lai, S Chen, R Tao, P Zhao… - Proceedings of the …, 2024 - openaccess.thecvf.com
Crop management plays a crucial role in determining crop yield economic profitability and
environmental sustainability. Despite the availability of management guidelines optimizing …

Utilizing deep learning to optimize software development processes

K Li, A Zhu, P Zhao, J Song, J Liu - arxiv preprint arxiv:2404.13630, 2024 - arxiv.org
This study explores the application of deep learning technologies in software development
processes, particularly in automating code reviews, error prediction, and test generation to …

Cross-task multi-branch vision transformer for facial expression and mask wearing classification

A Zhu, K Li, T Wu, P Zhao, B Hong - arxiv preprint arxiv:2404.14606, 2024 - arxiv.org
With wearing masks becoming a new cultural norm, facial expression recognition (FER)
while taking masks into account has become a significant challenge. In this paper, we …

Time series modeling for heart rate prediction: From arima to transformers

H Ni, S Meng, X Geng, P Li, Z Li, X Chen… - … and Informatics (EEI …, 2024 - ieeexplore.ieee.org
Cardiovascular disease (CVD) is a leading cause of death globally, necessitating precise
forecasting models for monitoring vital signs like heart rate, blood pressure, and ECG …

Large language models for mobility in transportation systems: A survey on forecasting tasks

Z Zhang, Y Sun, Z Wang, Y Nie, X Ma, P Sun… - arxiv preprint arxiv …, 2024 - arxiv.org
Mobility analysis is a crucial element in the research area of transportation systems.
Forecasting traffic information offers a viable solution to address the conflict between …

Leveraging llm for zero-day exploit detection in cloud networks

K Patil, B Desai - Asian American Research Letters Journal, 2024 - aarlj.com
Cloud network security faces challenges due to the increasing complexity and evolving
nature of cyber threats, rendering traditional rule-based monitoring systems inadequate …

Fake news detection with large language models on the liar dataset

D Boissonneault, E Hensen - 2024 - researchsquare.com
The widespread dissemination of fake news poses a significant threat to the integrity of
information. Detecting fake news with high accuracy is crucial for maintaining the integrity of …

Adaptive ensembles of fine-tuned transformers for llm-generated text detection

Z Lai, X Zhang, S Chen - 2024 International Joint Conference …, 2024 - ieeexplore.ieee.org
Large language models (LLMs) have reached human-like proficiency in generating diverse
textual content, underscoring the necessity for effective fake text detection to avoid potential …