8 datasets found

The paper presents a study on the impact of synthetic data on large language models (LLMs) and proposes a method to steer LLMs towards desirable non-differentiable attributes.

The WikiText-2 dataset is a benchmark for evaluating the performance of large language models.

The dataset used in the paper is not explicitly mentioned, but it is mentioned that the authors trained a GPT2 transformer language model on the C4 dataset.

Large Language Models (LLMs) have greatly advanced the natural language processing paradigm. However, the high computational load and huge model sizes pose a grand challenge for...

The dataset used in this study to analyze the self-assessment behavior of Large language models.

The LLaMA dataset is a large language model dataset used in the paper.

The dataset used in the paper is OPT-66B, a large language model, and Llama2-70B, another large language model.

This paper presents a review of recent advances in large language models' ability to capture ever-changing world knowledge.