LLM-generated post hoc explanations improve demonstration selection and few-shot accuracy of a smaller surrogate language model on four tabular classification datasets.
In: International Conference on Learning Representations (2022)
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
cs.LG 1years
2025 1verdicts
CONDITIONAL 1representative citing papers
citing papers explorer
-
Harnessing LLMs Explanations to Boost Surrogate Models in Tabular Data Classification
LLM-generated post hoc explanations improve demonstration selection and few-shot accuracy of a smaller surrogate language model on four tabular classification datasets.