Min Li

Research on Model Design about Learning Result Prediction and Intervention Based on Dynamic Data Mining

2019 · Proceedings of the 2019 3rd International Seminar on Education, Management and Social Sciences (ISEMSS 2019)

Predicting the academic performance of online learners and promptly intervening and guiding them is an effective way to improve the effectiveness of online learning. How to predict the academic performance and behavior of online learners, …

ENEX-FP: A BERT-Based Address Recognition Model

2023 · Electronics

In e-commerce logistics, government registration, financial transportation and other fields, communication addresses are required. Analyzing the communication address is crucial. There are various challenges in address recognition due to the address text’s features of free …

Large Language Models Meet NLP: A Survey

2024 · arXiv (Cornell University)

While large language models (LLMs) like ChatGPT have shown impressive capabilities in Natural Language Processing (NLP) tasks, a systematic investigation of their potential in this field remains largely unexplored. This study aims to address this …

Research on the Architecture Design Based on Large Language Model

2024

This paper presents an architecture design tool based on the large language model, it achieves intelligent architecture design by understanding user intentions, and generating and optimizing designs. The architecture design tool is responsible for receiving …

KG-TRICK: Unifying Textual and Relational Information Completion of Knowledge for Multilingual Knowledge Graphs

2025 · arXiv (Cornell University)

Multilingual knowledge graphs (KGs) provide high-quality relational and textual information for various NLP applications, but they are often incomplete, especially in non-English languages. Previous research has shown that combining information from KGs in different languages …

Anomaly-Free Prior Guided Knowledge Distillation for Industrial Anomaly Detection

2024

In industrial manufacturing, visual anomaly detection is critical for maintaining product quality by detecting and preventing production anomalies. Anomaly detection methods based on knowledge distillation demonstrate promising performance in addressing the unpredictability and diversity of …

mRAKL: Multilingual Retrieval-Augmented Knowledge Graph Construction for Low-Resourced Languages

2025

Knowledge Graphs represent real-world entities and the relationships between them.Multilingual Knowledge Graph Construction (mKGC) refers to the task of automatically constructing or predicting missing entities and links for knowledge graphs in a multilingual setting.In this …