2025
Multi-Surrogate-Objective Optimization for Neural Topic Models
EMNLP 2025
Neural topic modeling has substantially improved topic quality and document topic distribution compared to traditional probabilistic methods. These models often incorporate multiple loss functions. However, the disparate magnitudes of these losses can make hyperparameter tuning for these loss functi