activity
20172026
most citedExploring Software Naturalness through Neural Language Models

54 citations · 111 across the 23 of their papers we have counts for

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5 papers · 1 filter

cs.AI2026

Discovery Agents for Real-Time Analytics: Toward Proactive Insight Systems

Gaetano Rossiello, Dharmashankar Subramanian

Modern analytics systems are fundamentally reactive, requiring users to define queries over increasingly complex and continuously evolving data. In real-time streaming environments…

cs.AI2025

GradeSQL: Test-Time Inference with Outcome Reward Models for Text-to-SQL Generation from Large Language Models

Mattia Tritto, Giuseppe Farano, Dario Di Palma +4

Text-to-SQL, the task of translating natural language questions into SQL queries, has significantly advanced with the introduction of Large Language Models (LLMs), broadening datab…

cs.AI2022★ 1 cited

Knowledge Graph Induction enabling Recommending and Trend Analysis: A Corporate Research Community Use Case

Nandana Mihindukulasooriya, Mike Sava, Gaetano Rossiello +7

A research division plays an important role of driving innovation in an organization. Drawing insights, following trends, keeping abreast of new research, and formulating strategie…

cs.AI2021★ 1 cited

Zero-shot Slot Filling with DPR and RAG

Michael Glass, Gaetano Rossiello, Alfio Gliozzo

The ability to automatically extract Knowledge Graphs (KG) from a given collection of documents is a long-standing problem in Artificial Intelligence. One way to assess this capabi…

cs.AI2020★ 13 cited

Knowledge Graph Embeddings and Explainable AI

Federico Bianchi, Gaetano Rossiello, Luca Costabello +2

Knowledge graph embeddings are now a widely adopted approach to knowledge representation in which entities and relationships are embedded in vector spaces. In this chapter, we intr…