[First CFP]: LLM-TEXT2KG 2026 5th International Workshop on LLM-Integrated Knowledge Graph Generation from Text (Text2KG) Co-located with the Extended Semantic Web Conference (ESWC 2026)

*5th International Workshop on LLM-Integrated Knowledge Graph Generation
from Text (Text2KG)*
Co-located with the Extended Semantic Web Conference (ESWC 2026)
*May 10-14, 2026 • Dubrovnik, Croatia*


The *LLM-TEXT2KG 2026* workshop invites original contributions
exploring *knowledge
graph generation from text through the integration of Large Language Models
(LLMs)* and related techniques. Despite the foundational role of knowledge
graphs in semantic technologies and AI systems, constructing high-quality
structured knowledge from unstructured text remains a major challenge.
Recent advances in generative AI, including models such as GPT-4o,
LLAMA-3.2, and Qwen, offer new opportunities for scalable, robust entity
and relation extraction, semantic inference, and representation learning
that can transform traditional extraction paradigms.

We solicit submissions presenting *novel research, systems, datasets,
benchmarks, negative results, or position papers* that advance the
state-of-the-art in text-to-knowledge-graph generation. Topics of interest
include, but are not limited to:

   -

   LLM-based entity recognition and relation extraction from complex,
   unstructured text
   -

   LLM-driven discovery of implicit relationships and knowledge inference
   -

   Mitigating hallucinations, bias, and errors in LLM outputs
   -

   Fine-tuning and customizing LLMs for KG generation workflows
   -

   Retrieval-Augmented Generation (RAG) and knowledge extraction
   -

   Human-in-the-loop methods for extraction and validation
   -

   Benchmarks and evaluation methods for generated knowledge graphs
   -

   Semantic representation, disambiguation, and ontology alignment
   -

   Intelligent agents that integrate text understanding with knowledge
   graph construction

We welcome *full papers, negative results, position papers, dataset papers,
and system demos*. Full papers and dataset contributions may be up to *16
pages (excluding references)*, and short papers or demos up to *7 pages
(excluding references)*, all formatted in the *CEUR proceedings style*.
Submissions must be original and not under review elsewhere. Accepted
papers will be presented onsite at the workshop and published in the *CEUR
workshop proceedings*.

*Important Dates:*

   -

   Abstract Registration: *February 28, 2026*
   -

   Paper Submission Deadline: *March 13, 2026*
   -

   Notification of Acceptance: *April 1, 2026*
   -

   Camera-Ready Deadline: *April 10, 2026*

*Submission details and templates*, visit: https://aiisc.ai/text2kg2026/
<https://aiisc.ai/text2kg2026/?utm_source=chatgpt.com>
*For submission Link*: https://easychair.org/conferences?conf=llmtext2kg
Thank You
-- 
Regards
Dr. Sanju Tiwari (CEO & Founder of Shodhguru Research Labs)
Professor, Sharda University, Greater Noida, India
Research Fellow of ORKG, TIB Hannover, Germany
Visiting Researcher, InfAI, Leipzig University, Germany
External Expert, University of Lubeck, Germany
Visiting Researcher, Vienna University, Austria
DAAD Post-Doc-Net AI Fellow
General Chair *KGSWC 2020-24, AI4S 2023-24*
http://www.kgswc.org <http://www.kgswc.org/indo-american/>/
"Do what you love, Love what you do"