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Bogdan Gabrys

2 accepted papers

2025

Hallucination Detection in LLMs Using Spectral Features of Attention Maps

EMNLP 2025

Large Language Models (LLMs) have demonstrated remarkable performance across various tasks but remain prone to hallucinations. Detecting hallucinations is essential for safety-critical applications, and recent methods leverage attention map properties to this end, though their effectiveness remains

2025

The Illusion of Progress: Re-evaluating Hallucination Detection in LLMs

EMNLP 2025

Large language models (LLMs) have revolutionized natural language processing, yet their tendency to hallucinate poses serious challenges for reliable deployment. Despite numerous hallucination detection methods, their evaluations often rely on ROUGE, a metric based on lexical overlap that misaligns

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