Mr. Patipon Wiangnak (2nd-year doctoral student in Natthawut Lab, Human Information Science Research Area) received the Best Poster Award at the 24th International Semantic Web Conference（ISWC 2025）.

ISWC is the premier international forum for the Semantic Web / Linked Data Community.
ISWC 2025 brought together researchers, practitioners, and industry specialists to discuss, advance, and shape the future of semantic technologies. The conference was held from November 2 to 6, 2025, in Nara, Japan.

＊Reference：ISWC 2025

■Date Awarded
November 6, 2025

■Title
Unveiling the Butterfly Effect in Knowledge Editing for Large Language Models Using Knowledge Graph-based Analysis.

■Authors
Patipon Wiangnak, Natthawut Kertkeidkachorn, Kiyoaki Shirai

■Abstract
"Unveiling the Butterfly Effect in Knowledge Editing for Large Language Models Using Knowledge Graph-based Analysis" explores how small factual edits in Large Language Models (LLMs) can trigger unexpected ripple effects across related knowledge. We introduce ButterflyKE, a framework that leverages knowledge graphs to trace and evaluate these side effects. Our findings show that while LLMs can successfully update target knowledge, neighboring facts often remain affected, indicating that deeper, connected nodes may also change. This phenomenon helps explain how LLM hallucinations emerge, as models struggle to adapt to real-world updates. By extending the existing Knowledge Editing dataset CounterFact into CounterFact-Probed and proposing the Butterfly Index, we quantify local side effects and confirm the presence of the Butterfly Effect in Knowledge Editing. These insights highlight the need for approaches that maintain both factual accuracy and semantic stability, paving the way for future research on multi-hop and model-wide effects.

■Comment
ISWC 2025 is one of the leading international conferences in the field of Semantic Web and Knowledge Graph research. I could not have accomplished this journey without the kind support and guidance of Associate Professor Natthawut Kertkeidkachorn and Professor Kiyoaki Shirai over the past year. We worked very hard on this research together, and it was truly rewarding to see our efforts recognized with the Best Poster Award for "Unveiling the Butterfly Effect in Knowledge Editing for Large Language Models Using Knowledge Graph-based Analysis."
During the conference, I had the chance to meet many outstanding and insightful researchers in this field. We exchanged ideas and engaged in meaningful discussions, which broadened my perspective and inspired me with new directions for future research.
Thank you, ISWC 2025, for this wonderful opportunity, and to the entire community for your warmth, inspiration, and support. We will continue to work hard to contribute to this amazing research community. What began here as a small and simple idea we built together has now been remembered and recognized.
This is my Butterfly Effect.

January 21, 2026