Lingzhi Wang

According to our database, Lingzhi Wang authored at least 31 papers between 2019 and 2025.

Collaborative distances:

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

2025

ToolACE-R: Tool Learning with Adaptive Self-Refinement.

Xingshan Zeng, Weiwen Liu, Xu Huang, Zezhong Wang, Lingzhi Wang, Liangyou Li, Yasheng Wang, Lifeng Shang, Xin Jiang, Ruiming Tang, Qun Liu

CoRR, April, 2025

CoMaPOI: A Collaborative Multi-Agent Framework for Next POI Prediction Bridging the Gap Between Trajectory and Language.

Lin Zhong, Lingzhi Wang, Xu Yang, Qing Liao

Proceedings of the 48th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2025

FedCSR: A Federated Framework for Multi-Platform Cross-Domain Sequential Recommendation with Dual Contrastive Learning.

Dongyi Zheng, Hongyu Zhang, Jianyang Zhai, Lin Zhong, Lingzhi Wang, Jiyuan Feng, Xiangke Liao, Yonghong Tian, Nong Xiao, Qing Liao

Proceedings of the 31st International Conference on Computational Linguistics, 2025

Investigating Bias in LLM-Based Bias Detection: Disparities between LLMs and Human Perception.

Luyang Lin, Lingzhi Wang, Jinsong Guo, Kam-Fai Wong

Proceedings of the 31st International Conference on Computational Linguistics, 2025

Selective Forgetting: Advancing Machine Unlearning Techniques and Evaluation in Language Models.

Lingzhi Wang, Xingshan Zeng, Jinsong Guo, Kam-Fai Wong, Georg Gottlob

Proceedings of the AAAI-25, Sponsored by the Association for the Advancement of Artificial Intelligence, February 25, 2025

2024

Improving Conversational Recommender System Via Contextual and Time-Aware Modeling With Less Domain-Specific Knowledge.

Lingzhi Wang, Shafiq Joty, Wei Gao, Xingshan Zeng, Kam-Fai Wong

IEEE Trans. Knowl. Data Eng., November, 2024

A Comprehensive Survey on Relation Extraction: Recent Advances and New Frontiers.

Xiaoyan Zhao, Yang Deng, Min Yang, Lingzhi Wang, Rui Zhang, Hong Cheng, Wai Lam, Ying Shen, Ruifeng Xu

ACM Comput. Surv., November, 2024

IndiTag: An Online Media Bias Analysis and Annotation System Using Fine-Grained Bias Indicators.

Luyang Lin, Lingzhi Wang, Jinsong Guo, Jing Li, Kam-Fai Wong

CoRR, 2024

TPE: Towards Better Compositional Reasoning over Cognitive Tools via Multi-persona Collaboration.

Hongru Wang, Huimin Wang, Lingzhi Wang, Minda Hu, Rui Wang, Boyang Xue, Yongfeng Huang, Kam-Fai Wong

Proceedings of the Natural Language Processing and Chinese Computing, 2024

LLMEdgeRefine: Enhancing Text Clustering with LLM-Based Boundary Point Refinement.

Zijin Feng, Luyang Lin, Lingzhi Wang, Hong Cheng, Kam-Fai Wong

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

IndiVec: An Exploration of Leveraging Large Language Models for Media Bias Detection with Fine-Grained Bias Indicators.

Luyang Lin, Lingzhi Wang, Xiaoyan Zhao, Jing Li, Kam-Fai Wong

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

PACAR: Automated Fact-Checking with Planning and Customized Action Reasoning Using Large Language Models.

Xiaoyan Zhao, Lingzhi Wang, Zhanghao Wang, Hong Cheng, Rui Zhang, 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

LLM-REDIAL: A Large-Scale Dataset for Conversational Recommender Systems Created from User Behaviors with LLMs.

Tingting Liang, Chenxin Jin, Lingzhi Wang, Wenqi Fan, Congying Xia, Kai Chen, Yuyu Yin

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

2023

Quotation Recommendation for Multi-party Online Conversations Based on Semantic and Topic Fusion.

Lingzhi Wang, Xingshan Zeng, Kam-Fai Wong

ACM Trans. Inf. Syst., October, 2023

A Survey of the Evolution of Language Model-Based Dialogue Systems.

Hongru Wang, Lingzhi Wang, Yiming Du, Liang Chen, Jingyan Zhou, Yufei Wang, Kam-Fai Wong

CoRR, 2023

TPE: Towards Better Compositional Reasoning over Conceptual Tools with Multi-persona Collaboration.

Hongru Wang, Huimin Wang, Lingzhi Wang, Minda Hu, Rui Wang, Boyang Xue, Hongyuan Lu, Fei Mi, Kam-Fai Wong

CoRR, 2023

Delta-LoRA: Fine-Tuning High-Rank Parameters with the Delta of Low-Rank Matrices.

Bojia Zi, Xianbiao Qi, Lingzhi Wang, Jianan Wang, Kam-Fai Wong, Lei Zhang

CoRR, 2023

A Comprehensive Survey on Deep Learning for Relation Extraction: Recent Advances and New Frontiers.

Xiaoyan Zhao, Yang Deng, Min Yang, Lingzhi Wang, Rui Zhang, Hong Cheng, Wai Lam, Ying Shen, Ruifeng Xu

CoRR, 2023

Strategize Before Teaching: A Conversational Tutoring System with Pedagogy Self-Distillation.

Lingzhi Wang, Mrinmaya Sachan, Xingshan Zeng, Kam-Fai Wong

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

Opportunities and Challenges in Neural Dialog Tutoring.

Jakub Macina, Nico Daheim, Lingzhi Wang, Tanmay Sinha, Manu Kapur, Iryna Gurevych, Mrinmaya Sachan

Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics, 2023

KGA: A General Machine Unlearning Framework Based on Knowledge Gap Alignment.

Lingzhi Wang, Tong Chen, Wei Yuan, Xingshan Zeng, Kam-Fai Wong, Hongzhi Yin

Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

2022

Modeling Global and Local Interactions for Online Conversation Recommendation.

Xingshan Zeng, Jing Li, Lingzhi Wang, Kam-Fai Wong

ACM Trans. Inf. Syst., 2022

Successful New-entry Prediction for Multi-Party Online Conversations via Latent Topics and Discourse Modeling.

Lingzhi Wang, Jing Li, Xingshan Zeng, Kam-Fai Wong

Proceedings of the WWW '22: The ACM Web Conference 2022, Virtual Event, Lyon, France, April 25, 2022

RecInDial: A Unified Framework for Conversational Recommendation with Pretrained Language Models.

Lingzhi Wang, Huang Hu, Lei Sha, Can Xu, Daxin Jiang, Kam-Fai Wong

Proceedings of the 2nd Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics and the 12th International Joint Conference on Natural Language Processing, 2022

Learning When and What to Quote: A Quotation Recommender System with Mutual Promotion of Recommendation and Generation.

Lingzhi Wang, Xingshan Zeng, Kam-Fai Wong

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

2021

Finetuning Large-Scale Pre-trained Language Models for Conversational Recommendation with Knowledge Graph.

Lingzhi Wang, Huang Hu, Lei Sha, Can Xu, Kam-Fai Wong, Daxin Jiang

CoRR, 2021

Re-entry Prediction for Online Conversations via Self-Supervised Learning.

Lingzhi Wang, Xingshan Zeng, Huang Hu, Kam-Fai Wong, Daxin Jiang

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2021, 2021

Quotation Recommendation and Interpretation Based on Transformation from Queries to Quotations.

Lingzhi Wang, Xingshan Zeng, Kam-Fai Wong

Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021

2020

Continuity of Topic, Interaction, and Query: Learning to Quote in Online Conversations.

Lingzhi Wang, Jing Li, Xingshan Zeng, Haisong Zhang, Kam-Fai Wong

Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

2019

Coupling Global and Local Context for Unsupervised Aspect Extraction.

Ming Liao, Jing Li, Haisong Zhang, Lingzhi Wang, Xixin Wu, Kam-Fai Wong

Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, 2019