Llms-as-judges: a comprehensive survey on llm-based evaluation methods

H Li, Q Dong, J Chen, H Su, Y Zhou, Q Ai, Z Ye… - arxiv preprint arxiv …, 2024 - arxiv.org
The rapid advancement of Large Language Models (LLMs) has driven their expanding
application across various fields. One of the most promising applications is their role as …

A survey on data synthesis and augmentation for large language models

K Wang, J Zhu, M Ren, Z Liu, S Li, Z Zhang… - arxiv preprint arxiv …, 2024 - arxiv.org
The success of Large Language Models (LLMs) is inherently linked to the availability of vast,
diverse, and high-quality data for training and evaluation. However, the growth rate of high …