This work introduces CANVAS (Contrastive Art-aware Network for Vision-Language Alignment with Sheaves), a framework for learning relation-aware multimodal representations inspired by sheaf theory, and evaluates on three newly introduced benchmarks of artworks for multi-relational art understanding.
Ludovica Schaerf, Antonio Purificato, Piera Riccio et al.· 1 citation
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
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