Papers by Alla Chepurova

2 papers
Better Together: Enhancing Generative Knowledge Graph Completion with Language Models and Neighborhood Information (2023.findings-emnlp)

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Challenge: Knowledge graph completion (KGC) methods are computationally intensive and impractical for large-scale KGs.
Approach: They propose to include node neighborhoods as additional information to improve KGC methods based on language models.
Outcome: The proposed method outperforms KGT5 and conventional methods on inductive and transductive Wikidata subsets and shows its importance.
Wikontic: Constructing Wikidata-Aligned, Ontology-Aware Knowledge Graphs with Large Language Models (2026.eacl-long)

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Challenge: Knowledge graphs provide structured, verifiable grounding for large language models . current LLMs use KGs as auxiliary structures for text retrieval .
Approach: They propose a pipeline that constructs KGs from open-domain texts using triplets and qualifiers.
Outcome: The proposed pipeline outperforms existing methods in retrieval-augmented generation.

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