Agentopic: A Generative AI Agent Workflow for Explainable Topic Modeling

·ArXiv cs.LG··

arXiv:2605.00833v1 Announce Type: new Abstract: Agentopic is a novel agent-based workflow for explainable topic modeling that leverages the reasoning capabilities of Large Language Models (LLMs). Existing topic modeling approaches such as Latent Dirichlet Allocation (LDA) and BERTopic often lack transparency on how topics are assigned or grouped. Agentopic addresses this by using multiple agents that collaboratively perform topic identification, validation, hierarchical grouping, and natural lan...

Read full article →

Related Articles

Accelerating Gemma 4: faster inference with multi-token prediction drafters
amrrs · Hacker News · 3d ago
ProgramBench: Can language models rebuild programs from scratch?
jonbaer · Hacker News · 1d ago
ZAYA1-8B matches DeepSeek-R1 on math with less than 1B active parameters
steveharing1 · Hacker News · 1d ago
OpenAI’s o1 correctly diagnosed 67% of ER patients vs. 50-55% by triage doctors
donsupreme · Hacker News · 6d ago
A couple million lines of Haskell: Production engineering at Mercury
unignorant · Hacker News · 6d ago