Language and Large Model (LLM) research has shifted focus to steerability and persona congruity with complexities, challenging previous research simply based on one-dimensional personas or multiple-choice formats. A persona's intricacy and its potential to multiply biases in LLM simulations when there's lack of alignment with typical demographic views is now recognized.
A recent research by…
Deep learning (DL) model training often presents challenges due to its unpredictable and time-consuming nature. Determining when a model will finish training or foreseeing if it may crash unexpectedly can be difficult, leading to inefficiencies, especially during manual monitoring of the training process. While some techniques, such as early stopping and logging systems, do exist…