2 papers
cs.CL2025
Efficient Uncertainty Estimation for LLM-based Entity Linking in Tabular Data
Carlo Bono, Federico Belotti, Matteo Palmonari
Linking textual values in tabular data to their corresponding entities in a Knowledge Base is a core task across a variety of data integration and enrichment applications. Although…
cs.CY2025
Comparing diversity, negativity, and stereotypes in Chinese-language AI technologies: an investigation of Baidu, Ernie and Qwen
Geng Liu, Carlo Alberto Bono, Francesco Pierri
Large Language Models (LLMs) and search engines have the potential to perpetuate biases and stereotypes by amplifying existing prejudices in their training data and algorithmic pro…