Antonio Valerio Miceli Barone — accepted AI-conference papers

2023

DISCOSQA: A Knowledge Base Question Answering System for Space Debris based on Program Induction

Paul Darm, Antonio Valerio Miceli Barone, Shay B. Cohen, Annalisa Riccardi

ACL 2023industry

Space program agencies execute complex satellite operations that need to be supported by the technical knowledge contained in their extensive information systems. Knowledge Base (KB) databases are an effective way of storing and accessing such information to scale. In this work we present a system,…

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2023

The Larger they are, the Harder they Fail: Language Models do not Recognize Identifier Swaps in Python

Antonio Valerio Miceli Barone, Fazl Barez, Shay B. Cohen, Ioannis Konstas

ACL 2023findings

Large Language Models (LLMs) have successfully been applied to code generation tasks, raising the question of how well these models understand programming. Typical programming languages have invariances and equivariances in their semantics that human programmers intuitively understand and exploit, s…

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