Based on the foundation of Large Language Models (LLMs), Multilingual LLMs (MLLMs)
have been developed to address the challenges faced in multilingual natural language …

Although the applications of artificial intelligence especially deep learning have greatly
improved various aspects of intelligent manufacturing, they still face challenges for broader …

The widespread use of social media and other online platforms has facilitated
unprecedented communication and information exchange. However, it has also led to the …

Recent advancements in NLP systems, particularly with the introduction of LLMs, have led to
widespread adoption of these systems by a broad spectrum of users across various …

This paper introduces Golden-Retriever, designed to efficiently navigate vast industrial
knowledge bases, overcoming challenges in traditional LLM fine-tuning and RAG …

Hate speech detection models are only as good as the data they are trained on. Datasets
sourced from social media suffer from systematic gaps and biases, leading to unreliable …

Social media bot detection has always been an arms race between advancements in
machine learning bot detectors and adversarial bot strategies to evade detection. In this …

Hate speech is a harmful form of online expression, often manifesting as derogatory posts. It
is a significant risk in digital environments. With the rise of Large Language Models (LLMs) …

The generative large language models (LLMs) are increasingly used for data augmentation
tasks, where text samples are paraphrased (or generated anew) and then used for classifier …

Gender-Based Violence (GBV) is an increasing problem online, but existing datasets fail to
capture the plurality of possible annotator perspectives or ensure the representation of …