Author

Nikolaos Aletras

University of Sheffield

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#artificial intelligence Preprint Sep 2026

Evaluating and Improving Evidence-Grounded Fact-Checking in LLMs via Multi-Round Evidence Ablation

Automatic fact-checking systems assess the veracity of claims given evidence from relevant documents. Large Language Models (LLMs) have demonstrated strong performance in fact-checking due to their general reasoning capabilities. However, it remains unclear whether they faithfully make use of the evidence provided to r...

Xing-Yu Deng, Mingzi Cao, Nikolaos Aletras et al. · 0 citations

#artificial intelligence Jun 2026

MultiHashFormer: Hash-based Generative Language Models

This paper proposes MultiHashFormer, a new framework that allows hash-based autoregression that consistently outperforms standard Transformer LMs across multiple benchmarks and shows that the model handles multilingual vocabulary expansion with a constant parameter footprint without any modifications.

Hui Xue, Atsuki Yamaguchi, Nikolaos Aletras · arXiv.org · 0 citations

#natural language process... Preprint Aug 2026

When Tokenizers Fail: Byte-Level Chunking for Zero-Shot Transfer to Low-Resource Languages

This paper initializes byte embeddings directly from the subword representations of a frozen base model, applies a chunk alignment loss to project dynamically grouped byte chunks toward precomputed subword targets, and interleave lightweight part-of-speech supervision to guide boundary detection.

Sanjeev Kumar, Atsuki Yamaguchi, Nikolaos Aletras · 0 citations