16 datasets found

The paper investigates using a Large Language Model (LLM) to automatically perform web software tasks using click, scroll, and text input operations.

A tool for collecting traces from any Python codebase that uses OpenAI’s API.

A dataset of traces from the MACHIAVELLI environment, including API calls and their outcomes.

A structured collection of tests for input-output safeguards, including established failure tests, emerging failure tests, and next-gen architecture tests.

The dataset used in this paper for digital forensic investigation using Large Language Models (LLMs).

The dataset used in this study to explore the ethical issues surrounding Large Language Models (LLMs).

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...

This dataset is used to study the moral profiles of large language models.

This dataset is used to assess the moral reasoning capabilities 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.

Significant efforts have been dedicated to integrating the powerful Large Language Models (LLMs) with diverse modality, particularly focusing on the fusion of language, vision...

LLM-SR is a novel framework that leverages the power of Large Language Models (LLMs) for scientific equation discovery.