Call for papers
LLM4Cluster
Clustering is indispensable in many fields where data is unlabeled, aiming to group similar data points into meaningful clusters. Recent studies have shown that using the world knowledge in the Large Language Models (LLM) can significantly improve the clustering performance. Therefore, the primary goal of this workshop is to investigate how to harness the distinctive strengths and generalization abilities of LLM to address issues such as the vague cluster boundaries, the hard-to-set parameters, and the supervision signals for optimization encountered by conventional/deep clustering methods, and thus to promote the advancement of the clustering domain. The workshop will explore clustering methodologies and practices that extend beyond the specified data types, aiming to reveal the extensive potential of LLM across diverse application contexts.
Topics of interest
We welcome all papers that are related but not limited to the following topics:
Investigation into the reinforcement between LLM and clustering, e.g., low-rank adaptation of LLM by clustering and enhancing clustering stability using LLM
Novel approaches integrating LLM into classical/deep clustering methods
Interpretability of the clustering process leveraging LLM
Efficient clustering models for handling large-scale data
LLM-guided incremental clustering for dynamic data
Generalizable LLM-based clustering models for cross-domain data
Employing multi-modal LLM for multi-view/modal clustering
Leveraging LLM to supply external knowledge for few-shot clustering
Enabling LLM to understand topological information for graph clustering
Utilizing LLM to guide clustering with unknown parameters such as the subspace number and the cluster number
LLM-driven chain-of-thought prompting for advanced clustering and complex problem solving
Establishing new benchmarks and evaluations for clustering assessment
And clustering application papers that are focused on but not limited to the following domains:
Recommender systems
Information retrieval
Computer vision
Natural language processing
Social network analysis
Anomaly detection
Automatic speech recognition
Transportation networks
Artificial intelligence for science/engineering
Financial technology
Recommender systems
Information retrieval
Computer vision
Natural language processing
Social network analysis
Anomaly detection
Automatic speech recognition
Transportation networks
Artificial intelligence for science/engineering
Financial technology
Program
The workshop will be held on November 12th during ICDM 2025.
To be determined
Important dates
Submission deadline: August 29,2025 (Tentative)
Paper notification: September 15,2025 (Tentative)
Camera-ready: September 25,2025 (Tentative)
Workshop: November 12,2025
Submission
Paper submissions should be limited to a maximum of ten (10) pages in the IEEE 2-column format, including the bibliography and any appendices. Submissions longer than 10 pages will be rejected without review. All submissions will be triple-blind reviewed by the Program Committee based on technical quality, relevance to the scope of the conference, originality, significance, and clarity. Manuscripts must be submitted electronically through the online submission system: Submit your paper here.
Organization
Workshop Organizers
Wei Ye, PhD
Tenure-Track Professor
Tongji University, Shanghai Innovation Institute, China
Ye Zhu, PhD
Senior Lecturer
Deakin University, Australia
Sourav Medya, PhD
Assistant Professor
University of Illinois at Chicago, USA
Xin Sun, PhD
Professor
City University of Macau, China
Benjamin Roth, PhD
Professor
University of Vienna, Austria
Christian Böhm, PhD
Professor
University of Vienna, Austria
Claudia Plant, PhD
Professor
University of Vienna, Austria
Program Committee Members
Carolina Atria - University of Vienna, Austria
Anna Beer - University of Vienna, Austria
Chunchun Chen - Tongji University, China
Xing Wei - Tongji University, China
Wengang Guo - Tongji University, China
Maozheng Li - Tongji University, China
Yue Niu - Tongji University, China
Andrii Shkabrii - University of Vienna, Austria
Jiayi Yang - Tongji University, China
Chenrun Wang - Tongji University, China
Chenyi Xiong - Tongji University, China
Yang Liu - Shanghai Innovation Institute, China
Jinyang Wu - Shanghai Innovation Institute, China
Contact for information
If you have any questions regarding the workshop, feel free to reach out to us:
E-mail: yew@tongji.edu.cn, c2chen@tongji.edu.cn
Organization
Workshop Organizers
Wei Ye, PhD Tenure-Track Professor Tongji University, Shanghai Innovation Institute, China
Ye Zhu, PhD Senior Lecturer Deakin University, Australia
Sourav Medya, PhD Assistant Professor University of Illinois at Chicago, USA
Xin Sun, PhD Professor City University of Macau, China
Benjamin Roth, PhD Professor University of Vienna, Austria
Christian Böhm, PhD Professor University of Vienna, Austria
Claudia Plant, PhD Professor University of Vienna, Austria
Program Committee Members
Carolina Atria - University of Vienna, Austria
Anna Beer - University of Vienna, Austria
Chunchun Chen - Tongji University, China
Xing Wei - Tongji University, China
Wengang Guo - Tongji University, China
Maozheng Li - Tongji University, China
Yue Niu - Tongji University, China
Andrii Shkabrii - University of Vienna, Austria
Jiayi Yang - Tongji University, China
Chenrun Wang - Tongji University, China
Chenyi Xiong - Tongji University, China
Yang Liu - Shanghai Innovation Institute, China
Jinyang Wu - Shanghai Innovation Institute, China