Author

Amin Mantrach

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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

#natural language process... Preprint Aug 2026

QUORUM: QUality-Optimized Routing Using Multiple annotators

This work introduces QUORUM (QUality-Optimized Routing Using Multiple annotators), a budget-aware routing framework that dynamically assigns each instance to human or LLM annotators under a fixed annotation budget and supports multiple annotations per instance, combining them through agreement-based rewards to improve reliability.

Antonio Purificato, Maria Sofia Bucarelli, Andrea Bacciu et al. · 0 citations

#artificial intelligence Mar 2026

Select, Label, Evaluate: Active Testing in NLP

This work formalizes Active Testing in NLP and conducts an extensive benchmarking of existing approaches across 18 datasets and 4 embedding strategies spanning 4 different NLP tasks, revealing variations in method effectiveness across different data characteristics and task types.

Antonio Purificato, Maria Sofia Bucarelli, Andrea Bacciu et al. · arXiv.org · 1 citation