Hongfei Lin

Enhancing Large Language Models for document-level relation triple extraction via structural awareness and contrastive learning

In recent years, Large Language Models (LLMs) have demonstrated superior performance in information extraction tasks. Leveraging these models for Document-Level Relation Extraction (DocRE) can benefit from their powerful generative capabilities. However, we observe that LLMs stil...

Detection and Safeguarding of Chinese Toxic Content from Users and LLMs: A Survey

Abstract Toxic content detection and safeguarding have become important topics in natural language processing and affective computing, as they involve the analysis of offensive expressions and harmful attitudes in language. With the widespread adoption of social media, diverse fo...