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 …

Agent Laboratory: Using LLM Agents as Research Assistants

S Schmidgall, Y Su, Z Wang, X Sun, J Wu, X Yu… - arxiv preprint arxiv …, 2025 - arxiv.org
Historically, scientific discovery has been a lengthy and costly process, demanding
substantial time and resources from initial conception to final results. To accelerate scientific …

Large language models for automated scholarly paper review: A survey

Z Zhuang, J Chen, H Xu, Y Jiang, J Lin - arxiv preprint arxiv:2501.10326, 2025 - arxiv.org
Large language models (LLMs) have significantly impacted human society, influencing
various domains. Among them, academia is not simply a domain affected by LLMs, but it is …