LLMs Meet Databases - CASCON 2025
This full-day workshop brings together researchers and practitioners exploring the integration of Large Language Models and Database Systems. We welcome submissions on NLQ-to-SQL, vector indexing, scalable LLM-DBMS architectures, hallucination detection, privacy-preserving deployment, benchmarks, real-world case studies and other related topics.
Organizers Program Committee
Periklis Andritsos, University of Toronto Chrysovalantis Anastasiou , Google Ariel Fuxman, Google Alkis Simitsis, RC Athena
Tasos Kementsietsidis, DeepMind, Google Ebrahim Bagheri, Un. of Toronto Azade Nova, Google Yannis Velegrakis, Uttrecth University
Oktie Hassanzadeh, IBM Research. ChengDa (Dennis) Zheng, Un. of Toronto Justin Bi, Un. of Toronto
Paper submission: Sep 25, 2025
Notification: Oct 03, 2025
Camera-ready: Oct 6, 2025
Workshop: Nov 12, 2025
NLQ-to-SQL
RAG & Vector DBs
Scalable Architectures
Hallucination Detection
Privacy & Compliance
Benchmarks & Eval
Case Studies & Demos
Submissions must follow CASCON 2025 formatting rules (IEEE double-column conference format). Maximum paper length: 6 pages, including references. Papers not following the format or page limits may be rejected without review.
Venue
Second Student Centre, York University, 15 Library Lane, Toronto, ON, Canada
TBD
Contact periklis.andritsos@utoronto.ca or akement@google.com
to get more information on the Workshop