Call for Papers

Topics

We welcome researchers from the fields of databases, machine learning, and related disciplines to submit their latest work to our workshop. We especially encourage submissions on, but not limited to, the following topics:

  • Integration of Vector Databases and LLMs
  • Vector Data Management for LLMs
  • Optimizing Vector Databases with LLMs (e.g., Algorithms, Systems, etc.)
  • Vector Retrieval-Augmented Generation (RAG) for Enhancing LLM
  • Architecture for LLMs + Vector Databases
  • Training, Fine-tuning, and In-context Learning for LLMs + Vector Databases
  • Cost, Efficiency, Accuracy, and Scalability of LLMs + Vector Databases
  • Multimodal Extensions of LLMs + Vector Databases
  • Vector Databases as Semantic Caches for LLMs
  • Security and Privacy for LLMs + Vector Databases
  • Fairness, Accountability, Transparency, Trustworthiness of LLMs + Vector Databases
  • Benchmarking of LLMs + Vector Databases
  • Case Studies and Emerging Applications for LLMs + Vector Databases
  • Data Management Challenges and Future Directions for LLMs + Vector Databases

Important Dates

  • Submission Deadline: January 15， 2025
  • Acceptance Notification: February 28, 2025
  • Camera-Ready Version Deadline: March 21, 2025

Submission Guidelines

To ensure your submission is considered, please adhere to the following guidelines:

  • Formatting Instructions: Manuscripts must be prepared in accordance with the IEEE format available at style files. Papers need to be prepared and submitted as a single file: We accept papers, including survey/vision/tutorials/demos and late-breaking results, that fall under short papers of at most 6 pages (two columns) and long papers up to 12 pages (two columns), with unlimited pages for references. While your submission can contain a supplement or appendix, please note that reviewers are not obliged to review supplementary material.
  • Dual Submission Policy: A paper submitted to LLM + Vector Data workshop cannot be under review for any other conference or journal during the entire time and it must be original work not described in any prior publication. A prior publication is a paper that has been accepted for presentation at a refereed conference or workshop with proceedings; or an article that has been accepted for publication in a refereed journal.
  • Reviews: The review process will be single-blind.

To submit your work, please visit the CMT submission website.

Questions

If you have any questions, please do not hesitate to contact us at llmvdb.workshop@gmail.com.