Peiyan Wang — accepted AI-conference papers

2025

Do LLMs Know and Understand Domain Conceptual Knowledge?

Sijia Shen, Feiyan Jiang, Peiyan Wang, Yubo Feng, Yuchen Jiang, Chang Liu

EMNLP 2025

This paper focuses on the task of generating concept sememe trees to study whether Large Language Models (LLMs) can understand and generate domain conceptual knowledge. Concept sememe tree is a hierarchical structure that represents lexical meaning by combining sememes and their relationships.To thi

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2024

A Corpus and Method for Chinese Named Entity Recognition in Manufacturing

Ruiting Li, Peiyan Wang, Libang Wang, Danqingxin Yang, Dongfeng Cai

COLING 2024main

Manufacturing specifications are documents entailing different techniques, processes, and components involved in manufacturing. There is a growing demand for named entity recognition (NER) resources and techniques for manufacturing-specific named entities, with the development of smart manufacturing…

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