Chaoran Yan

According to our database, Chaoran Yan authored at least 8 papers between 2023 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Towards Real-world Scenario: Imbalanced New Intent Discovery.

Shun Zhang, Chaoran Yan, Jian Yang, Jiaheng Liu, Ying Mo, Jiaqi Bai, Tongliang Li, Zhoujun Li

CoRR, 2024

mABC: multi-Agent Blockchain-Inspired Collaboration for root cause analysis in micro-services architecture.

Wei Zhang, Hongcheng Guo, Jian Yang, Yi Zhang, Chaoran Yan, Zhoujin Tian, Hangyuan Ji, Zhoujun Li, Tongliang Li, Tieqiao Zheng, Chao Chen, Yi Liang, Xu Shi, Liangfan Zheng, Bo Zhang

CoRR, 2024

RoNID: New Intent Discovery with Generated-Reliable Labels and Cluster-friendly Representations.

Shun Zhang, Chaoran Yan, Jian Yang, Changyu Ren, Jiaqi Bai, Tongliang Li, Zhoujun Li

CoRR, 2024

TiNID: A Transfer and Interpretable LLM-Enhanced Framework for New Intent Discovery.

Shun Zhang, Chaoran Yan, Jian Yang, Wei Zhang, Changyu Ren, Tongliang Li, Jiaqi Bai, Zhoujun Li

Proceedings of the Machine Learning and Knowledge Discovery in Databases. Research Track, 2024

mABC: Multi-Agent Blockchain-inspired Collaboration for Root Cause Analysis in Micro-Services Architecture.

Wei Zhang, Hongcheng Guo, Jian Yang, Zhoujin Tian, Yi Zhang, Chaoran Yan, Zhoujun Li, Tongliang Li, Xu Shi, Liangfan Zheng, Bo Zhang

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024

New Intent Discovery with Attracting and Dispersing Prototype.

Shun Zhang, Jian Yang, Jiaqi Bai, Chaoran Yan, Tongliang Li, Zhao Yan, Zhoujun Li

Proceedings of the 2024 Joint International Conference on Computational Linguistics, 2024

Towards Real-world Scenario: Imbalanced New Intent Discovery.

Shun Zhang, Chaoran Yan, Jian Yang, Jiaheng Liu, Ying Mo, Jiaqi Bai, Tongliang Li, Zhoujun Li

Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

2023

Delving into Commit-Issue Correlation to Enhance Commit Message Generation Models.

Liran Wang, Xunzhu Tang, Yichen He, Changyu Ren, Shuhua Shi, Chaoran Yan, Zhoujun Li

Proceedings of the 38th IEEE/ACM International Conference on Automated Software Engineering, 2023