In real-world scenarios, extensive manual annotation for continual learning is impractical
due to prohibitive costs. Although prior arts, influenced by large-scale webly supervised …

This study investigates the effectiveness of Large Language Models (LLMs) in detecting
deception using a Retrieval Augmented Generation (RAG) framework for few-shot learning …

As NLP models become increasingly integral to decision-making processes, the need for
explainability and interpretability has become paramount. In this work, we propose a …

Sentence encoder encode the semantics of their input, enabling key downstream
applications such as classification, clustering, or retrieval. In this paper, we present Serafim …

Taking advantage of the widespread use of ontologies to organise and harmonize
knowledge across several distinct domains, this paper proposes a novel approach to …

Tato práce zkoumá vývoj metod reprezentace textu, od tradičních technik jako FastText až
po sofistikované modely založené na transformátorech, jako je Bidirectional Encoder …

Text embedding methods have become increasingly popular in both professional and
academic fields due to their critical role in a variety of natural language processing tasks …