Author

Marcello Federico

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Jul 2026

SynthAVE: Scalable Synthetic Labeling for E-Commerce with LLM-Arena Validation

SynthAVE is presented, a large-scale benchmark for attribute-value verification spanning 12,726 products across 229 product types, 792 attributes, and 4 languages and demonstrates that diverse models with varying individual judgments aggregate into highly reliable predictions, enabling cost-effective validation at scal...

Andrea Scarinci, V. Negri, Brayan Impata et al. · arXiv.org · 0 citations

#artificial intelligence Review Jul 2026

SynthAVE: Scalable Synthetic Labeling for E-Commerce with LLM-Arena Validation

Fine-tuning large language models (LLMs) for e-commerce attribute extraction requires labeled data representative across thousands of product types, attributes, and multiple languages. This combinatorial scale translates to millions of annotations, rendering human labeling prohibitively costly. While recent work has de...

Andrea Scarinci, V. Negri, Brayan Impata et al. · 0 citations

#natural language process... Preprint Jul 2026

Estimating Uncertainty from Reasoning: A Large-Scale Study of Multi- and Crosslingual MCQA Performance in LLMs

It is found that prompting models to reason in English while keeping questions in low-resource languages substantially improves UE performance, suggesting that comprehension of low-resource languages is largely intact, and that the reliability bottleneck lies in generation rather than understanding.

Andrea Alfarano, Andrea Bacciu, Saab Mansour et al. · 0 citations