4 datasets found

The dataset used in the paper is a grammaticality judgment task featuring four linguistic phenomena: anaphora, center embedding, comparatives, and negative polarity constructions.

Finetuned language models are zero-shot learners

The dataset used in this paper is a large language model, GPT-4, and its residual stream activations.

The dataset used in the paper is a collection of email and blog posts from 20 distinct authors, with a focus on few-shot alignment of large language models.