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20232026
most citedConnecting the Dots: What Graph-Based Text Representations Work Best for Text Classification Using Graph Neural Networks?

6 citations · 6 across the 5 of their papers we have counts for

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cs.CL2025

ReFACT: A Benchmark for Scientific Confabulation Detection with Positional Error Annotations

Yindong Wang, Martin Preiß, Margarita Bugueño +4

The mechanisms underlying scientific confabulation in Large Language Models (LLMs) remain poorly understood. We introduce ReFACT (Reddit False And Correct Texts), a benchmark of 1,…

cs.CL2025

Rethinking Graph-Based Document Classification: Learning Data-Driven Structures Beyond Heuristic Approaches

Margarita Bugueño, Gerard de Melo

In document classification, graph-based models effectively capture document structure, overcoming sequence length limitations and enhancing contextual understanding. However, most…