32 datasets found

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

OpenAssistant Conversations– Democratizing Large Language Model Alignment

The dataset used in the paper is not explicitly described, but it is mentioned that the authors used the ELI5, FinanceQA, MultiNews, and QMSum datasets.

The Inducing Anxiety in Large Language Models Increases Exploration and Bias dataset contains anxiety-inducing scenarios for large language models.

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...

The dataset used to evaluate the effectiveness of different jailbreak attack methods against LLMs. The dataset contains 160 forbidden questions with high diversity.

The dataset used in the paper to evaluate the effectiveness of different jailbreak attack methods against Large Language Models (LLMs).

Xiezhi comprises multiple-choice questions across 516 diverse disciplines ranging from 13 different subjects with 249,587 questions and accompanied by Xiezhi-Specialty with...

New Natural Language Process (NLP) benchmarks are urgently needed to align with the rapid development of large language models (LLMs). We present Xiezhi, the most comprehensive...

GraphEval2000 is a graph dataset designed to evaluate the graph reasoning abilities of large language models (LLMs) through coding challenges.

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