Generalization remains a central challenge in machine learning. In this work, we propose
Learning from Teaching (LoT), a novel regularization technique for deep neural networks to …

This paper explores an automatic news generation and fact-checking system based on
language processing, aimed at enhancing the efficiency and quality of news production …

Large Language Models (LLMs) have significantly enhanced Information Retrieval (IR)
across various modules, such as reranking. Despite impressive performance, current zero …

Image anomaly detection is a popular research direction, with many methods emerging in
recent years due to rapid advancements in computing. The use of artificial intelligence for …

Pneumonia is one of the leading causes of illness and death worldwide. In clinical practice,
Chest X-ray imaging is a common method used to diagnose pneumonia. However …

This project investigates the behavior of multi-head attention in Transformer models,
specifically focusing on the differences between benign and trojan models in the context of …