ShadowGAN-Former: Reweighting self-attention based on mask for shadow removal

J Hu, S Wen, J Li, HR Karimi - Neural Networks, 2025 - Elsevier
Shadow removal remains a challenging visual task aimed at restoring the original
brightness of shadow regions in images. Many existing methods overlook the implicit clues …

Transitioning from MLOps to LLMOps: Navigating the Unique Challenges of Large Language Models

S Pahune, Z Akhtar - Information, 2025 - mdpi.com
Large Language Models (LLMs), such as the GPT series, LLaMA, and BERT, possess
incredible capabilities in human-like text generation and understanding across diverse …

QLoRA-Based Fine-Tuning of LLMs on Multiple Medical Reasoning Tasks to Enhance their Comprehension of Clinical Notes

SS Patil, AS Rathore, M Ramteke - 2024 11th International …, 2024 - ieeexplore.ieee.org
Clinical notes pertinent to patient discharge summaries are crucial for support and decision-
making during medical ministrations. LLMs (Large Language Models) have demonstrated …

Is a bunch of words enough to detect disagreement in hateful content?

G Rizzi, P Rosso, E Fersini - Proceedings of Context and Meaning …, 2025 - aclanthology.org
The complexity of the annotation process when adopting crowdsourcing platforms for
labeling hateful content can be linked to the presence of textual constituents that can be …

Systems for Deep Learning Model Training and Inference in Resource-Constrained Environments

TH Kim - 2024 - search.proquest.com
In the realm of deep learning, optimizing model performance across varying hardware
resources is a crucial challenge, especially in environments with limited resources. Two …

[PDF][PDF] Black Hat AI-Challenges and Countermeasures

D Lande, L Strashnoy - dwl.kiev.ua
The article examines the threats associated with the development of global" Black Hat"
artificial intelligence (" Black Hat AI"), which can act without taking into account the interests …