QuaLLM-KG Workshop: Quality in LLMs and KGs @ EDBT/ICDT 2026
Join the 1st International Workshop on Quality in Large Language Models and Knowledge Graphs at EDBT/ICDT 2026. Submit papers by January 15th, 2026.
The 1st International Workshop on Quality in Large Language Models and Knowledge Graphs (QuaLLM-KG) will be held in conjunction with EDBT/ICDT 2026 on 24 March 2026 in Tampere, Finland. Visit the workshop website for more information.
The workshop aims to bring together researchers and practitioners to discuss theories, methods, and applications for assessing, improving, and monitoring the quality of LLMs and KGs. Key topics include:
- Quality in Knowledge Graphs: accuracy, consistency, completeness, freshness, schema validation, and more.
- Quality in Large Language Models: hallucination reduction, bias detection, metrics for quality assessment, and more.
- Synergies Between KGs and LLMs: KG-based grounding, LLM-based KG enrichment, quality-driven prompting, and more.
Submissions are invited for full papers (up to 8 pages) and short papers (up to 4 pages) in the CEUR-WS proceedings template. Accepted papers will be published in the CEUR Workshop proceedings.
Important dates:
- Submission deadline: January 15th, 2026
- Notification: February 8th, 2026
- Camera-ready: February 20th, 2026
Tags: QuaLLM-KG, LLMs, Knowledge Graphs, EDBT/ICDT 2026, Quality Assessment, AI Research