Xianghui Sun — accepted AI-conference papers

2025

C3oT: Generating Shorter Chain-of-Thought Without Compromising Effectiveness

Yu Kang, Xianghui Sun, Liangyu Chen, Wei Zou

AAAI 2025technical

Generating Chain-of-Thought (CoT) before deriving the answer can effectively improve the reasoning capabilities of large language models (LLMs) and significantly improve the accuracy of the generated answer. However, in most cases, the length of the generated CoT is much longer than the desired fina…

Cited by 10 Source ↗PDF ↗Scholar ↗

2023

Domain-Adapted Dependency Parsing for Cross-Domain Named Entity Recognition

Chenxiao Dou, Xianghui Sun, Yaoshu Wang, Yunjie Ji, Baochang Ma, Xiangang Li

AAAI 2023technical

In recent years, many researchers have leveraged structural information from dependency trees to improve Named Entity Recognition (NER). Most of their methods take dependency-tree labels as input features for NER model training. However, such dependency information is not inherently provided in most…

Cited by 6 Source ↗PDF ↗code ↗Scholar ↗