1 citations · 1 across the 1 of their papers we have counts for
2 papers
cs.LG2026★ 1 cited
Think2SQL: Reinforce LLM Reasoning Capabilities for Text2SQL
Simone Papicchio, Simone Rossi, Luca Cagliero +1
Large Language Models (LLMs) can translate natural language into SQL, but small models struggle with multi-table and complex queries in Zero-Shot Learning (ZSL) settings. While Sup…
cs.CL2025
CypherBench: Towards Precise Retrieval over Full-scale Modern Knowledge Graphs in the LLM Era
Yanlin Feng, Simone Papicchio, Sajjadur Rahman
Retrieval from graph data is crucial for augmenting large language models (LLM) with both open-domain knowledge and private enterprise data, and it is also a key component in the r…