45 datasets found

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

In-context learning (ICL) is an important capability of Large Language Models (LLMs), enabling these models to dynamically adapt based on specific, in-context exemplars, thereby...

COMMUNITY-CROSS-INSTRUCT: Unsupervised Instruction Generation for Aligning Large Language Models to Online Communities

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

The ReasonSeg dataset is a benchmark for reasoning segmentation tasks, which demands a nuanced comprehension of intricate queries to accurately pinpoint object regions.

The dataset used in this paper is HaluEval-Sum, a large-scale hallucination evaluation benchmark for large language models.

The paper presents the results of the OpenAI Codex evaluation on generating Python code.

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...

Ensuring alignment with human preferences is a crucial characteristic of large language models (LLMs). Presently, the primary alignment methods, RLHF and DPO, require extensive...

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.

This dataset is used to evaluate the performance of the judgement model.

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

The dataset used in the paper is not explicitly described, but it is mentioned that it is used to explore the integration of cognitive ergonomics with Large Language Models (LLMs).

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...

A dataset of 29 multi-party conversations between patients, their companions, and a social robot in a hospital.