Author

W. Cho

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Preprint Aug 2026

Domain-Agnostic Neural Topic Modeling with Contextual Token-Level Semantic Graph Representation

DARTopic is a domain-agnostic framework that constructs token-level semantic graphs from frozen PLM embeddings and jointly trains a GNN encoder with topic inference, demonstrating robustness to PLM choice and favorable runtime efficiency over fine-tuning based alternatives.

Seung-Won Seo, W. Cho, Yongmin Yoo · 0 citations