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https://www.researchgate.net › publication
Through a mixed methods user study with 15 programmers we present an empirical evaluation of the effectiveness of

https://arxiv.org › html
In this paper we conduct a multivocal literature review of 104 sources 31 formal 73 grey to examine how LLM assisted

https://aclanthology.org
In this study we benchmark state of the art uncertainty quantification methods and existing baselines for the task of

https://dl.acm.org › doi
In this paper we conduct a multivocal literature review of 104 sources 31 formal 73 grey to examine how LLM

https://www.sciencedirect.com › science › article › pii
We develop a survey study featuring 53 AI practitioners in which we collect information on the practical prevalence

https://aclanthology.org
S hallucinated elements that cause downstream test failures In this study we benchmark state of the art uncertainty quantification

https://www.sciencedirect.com › science › article › pii
We conducted a structured literature review to identify analyze and synthesize findings from 29 relevant studies

https://dl.acm.org › doi
In this paper we conduct an empirical study to study the phenomena mechanism and mitigation of LLM

https://codex.danielvaughan.com › debt-behind-ai-boom-technical-debt-ai...
The results are sobering AI generated code introduces persistent quality issues at scale and nearly a quarter of them