Riccardo Terrenzi

Riccardo Terrenzi

PhD researcher in Artificial Intelligence and Information Retrieval

PIPER: Content-Based Table Search via Profiling and LLM-Generated Pseudoqueries

Published in Database and Expert Systems Applications (DEXA), 2026

PIPER uses table profiles and LLM-generated pseudoqueries for content-driven dataset retrieval when metadata is sparse or low quality.

Recommended citation: Riccardo Terrenzi, Matteo Falconi, Serkan Ayvaz, and Pierluigi Plebani. (2026). "PIPER: Content-Based Table Search via Profiling and LLM-Generated Pseudoqueries." DEXA 2026.
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