Label Semantic Expansion via Label Guided Neural Topic Modeling

arXiv:2608.30216 · cs.CL, cs.AI · Submitted 2026-08-31 · Read on arXiv

cs.CL, cs.AI

Submitted: 2026-08-31

Updated: 2026-08-31

Comments: 18 pages, 7 figures, 11 tables

License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/

Terminology

Alignment — 19× in this paper · explained in 1 episode
Consistency — 19× in this paper · explained in 3 episodes
Label Semantic Expansion — 16× in this paper
Embeddings — 14× in this paper · explained in 2 episodes
Grounding — 11× in this paper · explained in 3 episodes
Adam — 4× in this paper · explained in 2 episodes
Clustering — 4× in this paper · explained in 2 episodes
Interpretability — 4× in this paper · explained in 15 episodes
Ablation — 3× in this paper · explained in 1 episode
Dominant Topic Uniqueness — 3× in this paper
Ablation study — 2× in this paper · explained in 1 episode
Accuracy — 2× in this paper · explained in 1 episode
Adjacency Matrix — 2× in this paper · explained in 1 episode
Inverse Document Frequency — 2× in this paper
Label-Guided Neural Topic Model — 2× in this paper
Large Language Model — 2× in this paper
Regularization — 2× in this paper · explained in 3 episodes
Cosine Similarity — 1× in this paper · explained in 3 episodes
Evaluation Dimensions — 1× in this paper · explained in 3 episodes
Labellevel Topic Diversity — 1× in this paper
Predictive Modeling — 1× in this paper · explained in 2 episodes
Redundancy — 1× in this paper · explained in 2 episodes
Transformer — 1× in this paper · explained in 2 episodes
alpha — 1× in this paper · explained in 1 episode

Sources

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