Careless speech is a new type of harm created by large language models (LLM) that poses
cumulative, long-term risks to science, education and shared social truth in democratic …

Web-crawled pretraining datasets underlie the impressive" zero-shot" evaluation
performance of multimodal models, such as CLIP for classification and Stable-Diffusion for …

As AI model size grows, neural scaling laws have become a crucial tool to predict the
improvements of large models when increasing capacity and the size of original (human or …

Synthesized data from generative models is increasingly considered as an alternative to
human-annotated data for fine-tuning Large Language Models. This raises concerns about …

While text-to-image diffusion models have been shown to achieve state-of-the-art results in
image synthesis, they have yet to prove their effectiveness in downstream applications …

Beyond high-fidelity image synthesis, diffusion models have recently exhibited promising
results in dense visual perception tasks. However, most existing work treats diffusion models …

ABSTRACT Large Language Models (LLM) are increasingly trained on data generated by
other LLM, either because generated text and images become part of the pretraining corpus …

针对传统生成式图像数据增强算法丢失3D 属性信息, 无法应用于自动驾驶领域3D
目标检测任务的问题, 提出了一种基于稳定扩散模型的多模态图像生成算法 …

The" Physically-Based Synthetic Data for Earth Observation"(SD4EO) project 1, initiated in
October 2023, aims to integrate physically-based simulation data and artificial intelligence …

Data augmentation is a widely used technique to enhance the performance of deep learning
models. However, traditional augmentation methods, dependent solely on original data …