If you have experience with R or want a quick way to generate a regression with statsmodels using a pandas DataFrame, you can ...

We propose SAmple-centric In-context Learning (SAIL), which introduces a fine-grained entity-level textual similarity to facilitate in-depth text analysis by LLMs and incorporates layout similarity to ...

This is the repo for the RuleR project, which proposes a data augmentation method incorporating multiple constraints into the original data samples according to predefined rules, without any human/LLM ...