The recent progress in large language models (LLMs), especially the inve...
In recent decades, due to the emerging requirements of computation
accel...
The Electrocardiogram (ECG) measures the electrical cardiac activity
gen...
We introduce a simple and effective method for learning VAEs with
contro...
Efficiently building an adversarial attacker for natural language proces...
It has been a common approach to pre-train a language model on a large c...
Auto-regressive sequence generative models trained by Maximum Likelihood...
Neural models for text generation require a softmax layer with proper to...
Variational auto-encoder (VAE) with Gaussian priors is effective in text...
In real-world applications of natural language generation, there are oft...