Skip to content
Log in

Author

Maximilian Plazotta

h-index 1 View on Semantic Scholar

We have 1 of 4 papers

We haven’t gathered this author’s papers yet. Follow them and we’ll fetch their work.

Not the right person? Other researchers publish under this name.

Can LLMs Serve as a Data Error Detection Engine? Trade-offs in Accuracy, Cost, and Hallucination Across Datasets

These findings endorse the viability of LLMs as a feasible alternative for data error detection; nonetheless, challenges such as hallucination and cost aspects remain, especially regarding the resources necessary for the effective implementation of these models in practical applications.

Maximilian Plazotta, Meike Klettke · 0 citations