Papers by Thien Trang Nguyen Vu
NeuroMax: Enhancing Neural Topic Modeling via Maximizing Mutual Information and Group Topic Regularization (2024.findings-emnlp)
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| Challenge: | Recent advances in neural topic models have focused on two main directions: the integration of the inference network with a pre-trained language model and the modeling of the relationship between words and topics in the generative model. |
| Approach: | They propose a framework to maximize mutual information between topics and PLMs . Experimental results indicate that NeuroMax reduces inference time . |
| Outcome: | The proposed framework reduces inference time, generates more coherent topics and topic groups, and produces more representative document embeddings. |