Segment-Level Agentic Topic Modeling for Improved Data Exploration and Resource Efficiency

arXiv:2609.31460 · cs.AI · Submitted 2026-09-25 · Read on arXiv

cs.AI

Submitted: 2026-09-25

Updated: 2026-09-25

Code: https://github.com/PolyAI-LDN/task-specific-datasets

Terminology

• Clustering — 42× in this paper · explained in 2 episodes
• LLM-as-a-Judge — 10× in this paper · explained in 3 episodes
• Ablation — 8× in this paper · explained in 1 episode
• Accuracy — 7× in this paper · explained in 1 episode
• Embeddings — 7× in this paper · explained in 2 episodes
• Ablation study — 5× in this paper · explained in 1 episode
• Natural Language Processing — 5× in this paper
• Empirical Methods in Natural Language Processing — 4× in this paper
• Interpretability — 4× in this paper · explained in 15 episodes
• Iterative Refinement — 4× in this paper · explained in 3 episodes
• Benchmark — 3× in this paper · explained in 2 episodes
• Consistency — 3× in this paper · explained in 3 episodes
• Ablation Studies — 2× in this paper · explained in 1 episode
• Computational overhead — 2× in this paper · explained in 2 episodes
• Core — 2× in this paper · explained in 2 episodes
• Vector Representations — 2× in this paper · explained in 2 episodes
• Adjusted Rand Index — 1× in this paper
• Agentic AI — 1× in this paper · explained in 1 episode
• Agentic LLM Systems — 1× in this paper · explained in 1 episode
• Banking Chatbot Review — 1× in this paper
• Evaluation Dimensions — 1× in this paper · explained in 3 episodes
• Foundation Model — 1× in this paper · explained in 3 episodes
• Foundation Models — 1× in this paper · explained in 7 episodes
• Frustration — 1× in this paper · explained in 2 episodes
• Large Language Model (LLM) — 1× in this paper · explained in 3 episodes
• Large Language Models (LLMs) — 1× in this paper · explained in 6 episodes
• Latent Dirichlet Allocation — 1× in this paper
• Normalized Mutual Information — 1× in this paper
• Optimal Transport — 1× in this paper · explained in 5 episodes
• Optimal Transport (OT) — 1× in this paper · explained in 4 episodes
• Self-consistency — 1× in this paper · explained in 2 episodes
• Transformer — 1× in this paper · explained in 2 episodes
• Verification — 1× in this paper · explained in 2 episodes

Sources

• Top2Vec: Distributed Representations of Topics
• Retrieval-Augmented Generation for Large Language Models: A Survey
• BERTopic: Neural topic modeling with a class-based TF-IDF procedure
• LongFin: A Multimodal Document Understanding Model for Long Financial Domain Documents
• LLM-AutoDiff: Auto-Differentiate Any LLM Workflow
• TextGrad: Automatic "Differentiation" via Text

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