Author

Emilio Raimond

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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

#natural language process... Review Aug 2026

Overview of SHROOM-Visions 2026: A Shared Task on Hallucination Detection in Large Vision-Language Models

This time, the SHROOM-Visions task aims to tackle hallucinations through a model-agnostic detection task focused on large vision-language models, building on the recently introduced SHEEP dataset.

Raúl Vázquez, Aman Sinha, Chuyuan Li et al. · 0 citations