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Timothee Mickus

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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
#machine learning Preprint Feb 2026

Is Knowledge Distillation Actually Greener? A Case Study in Machine Translation

This work evaluates representative KD methods both on bespoke MT models and LLMs, by considering both translation quality and computational cost, using the Machine Learning Life Cycle Assessment tool, which accounts for costs throughout the KD model life cycle.

Joseph Attieh, Timothee Mickus, Anne-Laure Ligozat et al. · 0 citations

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