TopicMerge: A Divide and Conquer Approach to Topic Modeling

cs.CL, cs.LG

Submitted: 2026-10-14

Updated: 2026-10-14

Comments: Findings of EMNLP 2026

Code: https://github.com/pnnl/TopicMerge

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

Sources

• GPT-4 Technical Report
• Assessing the impact of dimensionality reduction on clustering performance - a systematic study
• Top2Vec: Distributed Representations of Topics
• Gemini 2.5: Pushing the Frontier with Advanced Reasoning, Multimodality, Long Context, and Next Generation Agentic Capabilities
• Interactive Topic Models with Optimal Transport
• Summaries as Centroids for Interpretable and Scalable Text Clustering
• BERTopic: Neural topic modeling with a class-based TF-IDF procedure
• Gemini Embedding: Generalizable Embeddings from Gemini
• RoBERTa: A Robustly Optimized BERT Pretraining Approach
• UMAP: Uniform Manifold Approximation and Projection for Dimension Reduction
• Pointer Sentinel Mixture Models
• Sentence-BERT: Sentence Embeddings using Siamese BERT-Networks

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