Call for Papers – QuaLLM-KG 2026 Workshop! https://quallmkg2026.github.io/
We’re excited to announce the 1st International Workshop on Quality in Large Language Models and Knowledge Graphs (QuaLLM-KG 2026), co-located with EDBT/ICDT 2026 in Tampere, Finland on March 24, 2026!
About the Workshop
As Large Language Models (LLMs) and Knowledge Graphs (KGs) become central to data science and AI, ensuring their quality, trustworthiness, and integration is more important than ever. QuaLLM-KG aims to bring together researchers and practitioners working on foundational, methodological, and applied aspects of quality in LLMs, KGs, and their hybrid systems — from hallucination reduction and bias mitigation to schema validation, entity resolution, grounding, and evaluation frameworks.
Topics of Interest include (but are not limited to):
✨ Quality metrics and benchmarks for KGs and LLMs
✨ Hybrid KG–LLM quality assurance
✨ Explainability, provenance, and trust in AI systems
✨ Real-world case studies and applications
✨ Tools and frameworks for monitoring and validating quality
… and more!
Important Dates:
- Submission deadline: January 15, 2026
- Notification: February 8, 2026
- Camera-ready: February 20, 2026
➡ Accepted papers will be published in CEUR Workshop Proceedings.
Whether you’re exploring novel theories, benchmarks, systems, or real-world deployments addressing quality challenges in LLMs and KGs, we’d love to hear from you!
Learn more & submit: https://quallmkg2026.github.io/
