Government
comprehensive benchmark on eight tasks
Large Language Models (LLMs) with strong abilities in natural language processing tasks have emerged and have been applied in various kinds of areas such as science, finance and software engineering.
Fine-Grained Human Feedback Gives Better Rewards for Language Model Training
Additionally, we show that LM behaviors can be customized using different combinations of fine-grained reward models.
Blurred-Dilated Method for Adversarial Attacks (Supplementary Material)
Table S1 presents the structural details of Blurred-Dilated ResNet-20 (BD RN20) used on the CIFAR-10 dataset. Table S2 shows the structural details of Blurred-Dilated ResNet-56 (BD RN56) used on the CIFAR-100 dataset. We conduct more ablation studies to examine the key modification choices of our method. Notations are the same as Figure S1. Notations are the same as Figure S1.
Adversarial Training for Graph Neural Networks: Pitfalls, Solutions, and New Directions
We report adversarial training and standard training.
