Lizhi Qing

According to our database, Lizhi Qing authored at least 13 papers between 2019 and 2025.

Collaborative distances:

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

2025

Towards Stepwise Domain Knowledge-Driven Reasoning Optimization and Reflection Improvement.

Chengyuan Liu, Shihang Wang, Lizhi Qing, Kaisong Song, Junjie Cao, Jun Lin, Ji Zhang, Ang Li, Kun Kuang, Fei Wu

CoRR, April, 2025

Refinement and Revision in Academic Writing: Integrating Multi-source Knowledge and LLMs with Delta Feedback.

Yongqiang Ma, Lizhi Qing, Yangyang Kang, Jiawei Liu, Yue Zhang, Qikai Cheng, Wei Lu, Xiaozhong Liu

Expert Syst. Appl., 2025

Learning to Solve Domain-Specific Calculation Problems with Knowledge-Intensive Programs Generator.

Chengyuan Liu, Shihang Wang, Lizhi Qing, Jun Lin, Ji Zhang, Fei Wu, Kun Kuang

Proceedings of the 2025 Conference of the Nations of the Americas Chapter of the Association for Computational Linguistics: Human Language Technologies, 2025

UniLR: Unleashing the Power of LLMs on Multiple Legal Tasks with a Unified Legal Retriever.

Ang Li, Yiquan Wu, Yifei Liu, Ming Cai, Lizhi Qing, Shihang Wang, Yangyang Kang, Chengyuan Liu, Fei Wu, Kun Kuang

Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2025

2024

More Than Catastrophic Forgetting: Integrating General Capabilities For Domain-Specific LLMs.

Chengyuan Liu, Shihang Wang, Yangyang Kang, Lizhi Qing, Fubang Zhao, Changlong Sun, Kun Kuang, Fei Wu

CoRR, 2024

Personalized LLM Response Generation with Parameterized Memory Injection.

Kai Zhang, Lizhi Qing, Yangyang Kang, Xiaozhong Liu

CoRR, 2024

Gold Panning in Vocabulary: An Adaptive Method for Vocabulary Expansion of Domain-Specific LLMs.

Chengyuan Liu, Shihang Wang, Lizhi Qing, Kun Kuang, Yangyang Kang, Changlong Sun, Fei Wu

Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

More Than Catastrophic Forgetting: Integrating General Capabilities For Domain-Specific LLMs.

Chengyuan Liu, Yangyang Kang, Shihang Wang, Lizhi Qing, Fubang Zhao, Chao Wu, Changlong Sun, Kun Kuang, Fei Wu

Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

Enhance Robustness of Language Models against Variation Attack through Graph Integration.

Zi Xiong, Lizhi Qing, Yangyang Kang, Jiawei Liu, Hongsong Li, Changlong Sun, Xiaozhong Liu, Wei Lu

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

From Model-centered to Human-Centered: Revision Distance as a Metric for Text Evaluation in LLMs-based Applications.

Yongqiang Ma, Lizhi Qing, Jiawei Liu, Yangyang Kang, Yue Zhang, Wei Lu, Xiaozhong Liu, Qikai Cheng

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

2023

A Chinese Prompt Attack Dataset for LLMs with Evil Content.

Chengyuan Liu, Fubang Zhao, Lizhi Qing, Yangyang Kang, Changlong Sun, Kun Kuang, Fei Wu

CoRR, 2023

2020

Constructing Multiple Tasks for Augmentation: Improving Neural Image Classification with <i>K</i>-Means Features.

Tao Gui, Lizhi Qing, Qi Zhang, Jiacheng Ye, Hang Yan, Zichu Fei, Xuanjing Huang

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019

Constructing Multiple Tasks for Augmentation: Improving Neural Image Classification With K-means Features.

Tao Gui, Lizhi Qing, Qi Zhang, Jiacheng Ye, Hang Yan, Zichu Fei, Xuanjing Huang

CoRR, 2019