Papers by Nico Manzonelli
RED-CT: A Systems Design Methodology for Using LLM-labeled Data to Train and Deploy Edge Linguistic Classifiers (2025.coling-industry)
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| Challenge: | Large language models have improved our ability to rapidly analyze and classify unstructured natural language data. |
| Approach: | They propose a system approach to employing LLMs as imperfect data annotators for downstream supervised learning tasks. |
| Outcome: | The proposed method outperforms LLM-generated labels in six of eight tests and base classifiers in all tests. |