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Eduardo Calò

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Open access Oct 2026

The Future of Natural Language Generation in the Age of Large Language Models

Natural language generation (NLG) research has focused in the past on mainly two aspects: (i) the process of language generation in itself (e.g., to give theoretical insights into models of human language) and (ii) the use of such approaches to solve applied problems (e.g., generation of medical reports, weather foreca...

Eduardo Calò, Saad Mahamood · 0 citations
Preprint Aug 2026

Can Humans Dream of Electric Sheep? Human-Written Samples for Fine-Grained Vision-and-Language Hallucination Benchmarking

It is found that human-written samples result in higher agreement and allow greater control of dataset contents, while remaining distributionally similar to samples derived from vision-and-language samples and providing a reasonable portrayal of detection capabilities - suggesting that human data is a viable substitute...

Timothee Mickus, Claudio Savelli, Eduardo Calò et al. · 4 citations

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