[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)
Dr. Sanju Tiwari
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:
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LLM-based entity recognition and relation extraction from complex, unstructured text
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LLM-driven discovery of implicit relationships and knowledge inference
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Mitigating hallucinations, bias, and errors in LLM outputs
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Fine-tuning and customizing LLMs for KG generation workflows
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Retrieval-Augmented Generation (RAG) and knowledge extraction
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Human-in-the-loop methods for extraction and validation
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Benchmarks and evaluation methods for generated knowledge graphs
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Semantic representation, disambiguation, and ontology alignment
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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:
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Abstract Registration: February 28, 2026
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Paper Submission Deadline: March 13, 2026
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Notification of Acceptance: April 1, 2026
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Camera-Ready Deadline: April 10, 2026
Submission details and templates, visit: https://aiisc.ai/text2kg2026/
For submission Link: https://easychair.org/conferences?conf=llmtext2kg