Beyond Syntax: How Do LLMs Understand Code?

Within software engineering research, Large Language Models (LLMs) are often treated as 'black boxes', with only their inputs and outputs being considered. In this paper, we take a machine interpretability approach to examine how LLMs internally represent and process code.We focus on varia...

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Veröffentlicht in:	IEEE/ACM International Conference on Software Engineering: New Ideas and Emerging Technologies Results (Online) S. 86 - 90
Hauptverfasser:	North, Marc, Atapour-Abarghouei, Amir, Bencomo, Nelly
Format:	Tagungsbericht
Sprache:	Englisch
Veröffentlicht:	IEEE 27.04.2025
Schlagworte:	Codes Computer languages Encoding Large language models Large Language Models (LLMs) Mechanistic interpretability Semantics Software engineering Streams Syntactics Technological innovation Training
ISSN:	2832-7632
Online-Zugang:	Volltext
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