3 accepted papers
This paper provides an early effort to systematically examine nation-level biases exhibited by Large Language Models (LLMs) within the domain of International Relations (IR), a dimension that has remained largely unexplored in prior research. Leveraging historical records from the United Nations Sec
Neuro-symbolic neural networks have been extensively studied to integrate symbolic operations with neural networks, thereby improving systematic generalization. Specifically, Tensor Product Representation (TPR) framework enables neural networks to perform differentiable symbolic operations by encodi…
The paper presented a systematic evaluation of the weight sparsity regularization schemes for the deep neural networks applied to the whole brain resting-state functional magnetic resonance imaging data. The weight sparsity regularization was deployed between the visible and hidden layers of the Gau…