Zezhong Wang

According to our database, Zezhong Wang authored at least 26 papers between 2019 and 2024.

Collaborative distances:

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

2024

ToolFlow: Boosting LLM Tool-Calling Through Natural and Coherent Dialogue Synthesis.

Zezhong Wang, Xingshan Zeng, Weiwen Liu, Liangyou Li, Yasheng Wang, Lifeng Shang, Xin Jiang, Qun Liu, Kam-Fai Wong

CoRR, 2024

MlingConf: A Comprehensive Study of Multilingual Confidence Estimation on Large Language Models.

Boyang Xue, Hongru Wang, Rui Wang, Sheng Wang, Zezhong Wang, Yiming Du, Bin Liang, Kam-Fai Wong

CoRR, 2024

ToolACE: Winning the Points of LLM Function Calling.

Weiwen Liu, Xu Huang, Xingshan Zeng, Xinlong Hao, Shuai Yu, Dexun Li, Shuai Wang, Weinan Gan, Zhengying Liu, Yuanqing Yu, Zezhong Wang, Yuxian Wang, Wu Ning, Yutai Hou, Bin Wang, Chuhan Wu, Xinzhi Wang, Yong Liu, Yasheng Wang, Duyu Tang, Dandan Tu, Lifeng Shang, Xin Jiang, Ruiming Tang, Defu Lian, Qun Liu, Enhong Chen

CoRR, 2024

Chain-of-Probe: Examing the Necessity and Accuracy of CoT Step-by-Step.

Zezhong Wang, Xingshan Zeng, Weiwen Liu, Yufei Wang, Liangyou Li, Yasheng Wang, Lifeng Shang, Xin Jiang, Qun Liu, Kam-Fai Wong

CoRR, 2024

PerLTQA: A Personal Long-Term Memory Dataset for Memory Classification, Retrieval, and Synthesis in Question Answering.

Yiming Du, Hongru Wang, Zhengyi Zhao, Bin Liang, Baojun Wang, Wanjun Zhong, Zezhong Wang, Kam-Fai Wong

CoRR, 2024

UniMS-RAG: A Unified Multi-source Retrieval-Augmented Generation for Personalized Dialogue Systems.

Hongru Wang, Wenyu Huang, Yang Deng, Rui Wang, Zezhong Wang, Yufei Wang, Fei Mi, Jeff Z. Pan, Kam-Fai Wong

CoRR, 2024

SELF-GUARD: Empower the LLM to Safeguard Itself.

Zezhong Wang, Fangkai Yang, Lu Wang, Pu Zhao, Hongru Wang, Liang Chen, Qingwei Lin, Kam-Fai Wong

Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers), 2024

JoTR: A Joint Transformer and Reinforcement Learning Framework for Dialogue Policy Learning.

Wai-Chung Kwan, Huimin Wang, Hongru Wang, Zezhong Wang, Bin Liang, Xian Wu, Yefeng Zheng, Kam-Fai Wong

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

DPDLLM: A Black-box Framework for Detecting Pre-training Data from Large Language Models.

Baohang Zhou, Zezhong Wang, Lingzhi Wang, Hongru Wang, Ying Zhang, Kehui Song, Xuhui Sui, Kam-Fai Wong

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

2023

JoTR: A Joint Transformer and Reinforcement Learning Framework for Dialog Policy Learning.

Wai-Chung Kwan, Huimin Wang, Hongru Wang, Zezhong Wang, Xian Wu, Yefeng Zheng, Kam-Fai Wong

CoRR, 2023

Chain-of-thought prompting for responding to in-depth dialogue questions with LLM.

Hongru Wang, Rui Wang, Fei Mi, Zezhong Wang, Ruifeng Xu, Kam-Fai Wong

CoRR, 2023

Empower Large Language Model to Perform Better on Industrial Domain-Specific Question Answering.

Zezhong Wang, Fangkai Yang, Pu Zhao, Lu Wang, Jue Zhang, Mohit Garg, Qingwei Lin, Dongmei Zhang

CoRR, 2023

MCML: A Novel Memory-based Contrastive Meta-Learning Method for Few Shot Slot Tagging.

Hongru Wang, Zezhong Wang, Wai Chung Kwan, Kam-Fai Wong

Proceedings of the 13th International Joint Conference on Natural Language Processing and the 3rd Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics, 2023

Empower Large Language Model to Perform Better on Industrial Domain-Specific Question Answering.

Fangkai Yang, Pu Zhao, Zezhong Wang, Lu Wang, Bo Qiao, Jue Zhang, Mohit Garg, Qingwei Lin, Saravan Rajmohan, Dongmei Zhang

Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing: EMNLP 2023, 2023

ReadPrompt: A Readable Prompting Method for Reliable Knowledge Probing.

Zezhong Wang, Luyao Ye, Hongru Wang, Wai-Chung Kwan, David Ho, Kam-Fai Wong

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

Cue-CoT: Chain-of-thought Prompting for Responding to In-depth Dialogue Questions with LLMs.

Hongru Wang, Rui Wang, Fei Mi, Yang Deng, Zezhong Wang, Bin Liang, Ruifeng Xu, Kam-Fai Wong

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

Towards Robust Personalized Dialogue Generation via Order-Insensitive Representation Regularization.

Liang Chen, Hongru Wang, Yang Deng, Wai-Chung Kwan, Zezhong Wang, Kam-Fai Wong

Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

2022

GSAN: Graph Self-Attention Network for Learning Spatial-Temporal Interaction Representation in Autonomous Driving.

Luyao Ye, Zezhong Wang, Xinhong Chen, Jianping Wang, Kui Wu, Kejie Lu

IEEE Internet Things J., 2022

Prior Omission of Dissimilar Source Domain(s) for Cost-Effective Few-Shot Learning.

Zezhong Wang, Hongru Wang, Wai-Chung Kwan, Kam-Fai Wong

Proceedings of the 5th International Conference on Natural Language and Speech Processing, 2022

Integrating Pretrained Language Model for Dialogue Policy Evaluation.

Hongru Wang, Huimin Wang, Zezhong Wang, Kam-Fai Wong

Proceedings of the IEEE International Conference on Acoustics, 2022

"I Know Who You Are": Character-Based Features for Conversational Humor Recognition in Chinese.

Wenbo Shang, Jiangjiang Zhao, Zezhong Wang, Binyang Li, Fangchun Yang, Kam-Fai Wong

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2022, 2022

2021

Integrating Pretrained Language Model for Dialogue Policy Learning.

Hongru Wang, Huimin Wang, Zezhong Wang, Kam-Fai Wong

CoRR, 2021

Prior Omission of Dissimilar Source Domain(s) for Cost-Effective Few-Shot Learning.

Zezhong Wang, Hongru Wang, Wai-Chung Kwan, Jia Zhu, Gabriel Pui Cheong Fung, Kam-Fai Wong

CoRR, 2021

MCML: A Novel Memory-based Contrastive Meta-Learning Method for Few Shot Slot Tagging.

Hongru Wang, Zezhong Wang, Gabriel Pui Cheong Fung, Kam-Fai Wong

CoRR, 2021

2020

GSAN: Graph Self-Attention Network for Interaction Measurement in Autonomous Driving.

Luyao Ye, Zezhong Wang, Xinhong Chen, Jianping Wang, Kui Wu, Kejie Lu

Proceedings of the 17th IEEE International Conference on Mobile Ad Hoc and Sensor Systems, 2020

2019

Fish Behavior Tracking Algorithm Based on Multi-Domain Deep Convolutional Neural Network.

Xin Xia, Yaochi Zhao, Zhuhua Hu, Zezhong Wang, Chuang Yu, Yong Bai

Proceedings of the 4th International Conference on Multimedia Systems and Signal Processing, 2019