2 papers
cs.CL2026
An Empirical Analysis of Static Analysis Methods for Detection and Mitigation of Code Library Hallucinations
Clarissa Miranda-Pena, Andrew Reeson, Cécile Paris +2
Despite extensive research, Large Language Models continue to hallucinate when generating code, particularly when using libraries. On NL-to-code benchmarks that require library use…
cs.CL2024
Do Text-to-Vis Benchmarks Test Real Use of Visualisations?
Hy Nguyen, Xuefei He, Andrew Reeson +3
Large language models are able to generate code for visualisations in response to simple user requests. This is a useful application and an appealing one for NLP research because p…