Peiyu Liu

A Fusion Model-Based Label Embedding and Self-Interaction Attention for Text Classification

2019 · IEEE Access

Text classification is a pivotal task in NLP (Natural Language Processing), which has received widespread attention recently. Most of the existing methods leverage the power of deep learning to improve the performance of models. However, …

A semantically enhanced dual encoder for aspect sentiment triplet extraction

2023 · arXiv (Cornell University)

Aspect sentiment triplet extraction (ASTE) is a crucial subtask of aspect-based sentiment analysis (ABSA) that aims to comprehensively identify sentiment triplets. Previous research has focused on enhancing ASTE through innovative table-filling strategies. However, these approaches …

Mixed Information Flow for Cross-Domain Sequential Recommendations

2022 · ACM Transactions on Knowledge Discovery from Data

Cross-domain sequential recommendation is the task of predict the next item that the user is most likely to interact with based on past sequential behavior from multiple domains. One of the key challenges in cross-domain …

A Survey of Large Language Models

2026 · Frontiers of Computer Science

Abstract The rapid evolution of large language models (LLMs) has driven a transformative shift in artificial intelligence (AI), reshaping both research paradigms and practical applications. Distinguished from their predecessors by unprecedented scale and advanced capabilities, …