A comparative study of transformer-based embeddings for topic coherence

In three linesComparative study of 7 transformer models (MiniLM to LLaMA-2, 22M to 13B parameters) for topic modeling via BERTopic. Finding: model size has negligible impact on topic quality measured by coherence and divergence metrics. Smaller models achieve comparable performance to larger ones.

Summary generated by Claude — human-verified