Just Say the Name: Online Continual Learning with Category Names Only via Data Generation
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 …
due to prohibitive costs. Although prior arts, influenced by large-scale webly supervised …
LLMs for Explainable Few-shot Deception Detection
This study investigates the effectiveness of Large Language Models (LLMs) in detecting
deception using a Retrieval Augmented Generation (RAG) framework for few-shot learning …
deception using a Retrieval Augmented Generation (RAG) framework for few-shot learning …
Optimal and efficient text counterfactuals using Graph Neural Networks
D Lymperopoulos, M Lymperaiou… - arXiv preprint arXiv …, 2024 - arxiv.org
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 …
explainability and interpretability has become paramount. In this work, we propose a …
Open Sentence Embeddings for Portuguese with the Serafim PT* encoders family
Sentence encoder encode the semantics of their input, enabling key downstream
applications such as classification, clustering, or retrieval. In this paper, we present Serafim …
applications such as classification, clustering, or retrieval. In this paper, we present Serafim …
Towards Ontology-Enhanced Representation Learning for Large Language Models
F Ronzano, J Nanavati - arXiv preprint arXiv:2405.20527, 2024 - arxiv.org
Taking advantage of the widespread use of ontologies to organise and harmonize
knowledge across several distinct domains, this paper proposes a novel approach to …
knowledge across several distinct domains, this paper proposes a novel approach to …
Od FastText k Transformer modelům a jejich aplikace v Retrieval-Augmented generování
Z Yauheni - 2024 - dspace.cvut.cz
Tato práce zkoumá vývoj metod reprezentace textu, od tradičních technik jako FastText až
po sofistikované modely založené na transformátorech, jako je Bidirectional Encoder …
po sofistikované modely založené na transformátorech, jako je Bidirectional Encoder …
[PDF][PDF] Recent advances in text embedding: A Comprehensive Review of Top-Performing Methods on the MTEB Benchmark
CAO Hongliu - researchgate.net
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 …
academic fields due to their critical role in a variety of natural language processing tasks …