This framework provides an easy method to compute embeddings for accessing, using, and training state-of-the-art embedding and reranker models. It can be used to compute embeddings using Sentence ...

ABSTRACT: This paper proposes a noise-aware multi-task transformer framework that jointly performs aspect extraction (AE) and aspect sentiment classification (ASC) using a shared BERT/RoBERTa encoder ...

Transformer models pre-trained on self-supervised tasks and fine-tuned on downstream objectives have achieved remarkable results across a variety of domains. However, fine-tuning these models for ...

Transformer架构自诞生以来，便以其强大的灵活性和模块化设计，深刻地影响了人工智能领域的发展。从最初的BERT到如今的GPT-4，不同的结构变体在各自擅长的领域大放异彩。本文将深入探讨Transformer的四大主流结构，并重点分析Decoder-only结构在大语言模型中的崛起 ...

Phishing is a form of cybercrime in which people are deceived into exposing their personal information which can result in financial loss. These attacks are often executed via fraudulent messages, ...

Transformer 默认都是大模型，除了一些特例（如 DistilBERT）外，实现更好性能的一般策略是增加模型的大小以及预训练的数据量。 Transformer 默认都是大模型，除了一些特例（如 DistilBERT）外，实现更好性能的一般策略是增加模型的大小以及预训练的数据量。其中 ...

Abstract: This paper introduces a groundbreaking enhancement to image captioning through a unique approach that harnesses the combined power of the Vision Encoder-Decoder model. By leveraging the Swin ...