When lexical change misleads: evaluating dynamic topic models with traditional and LLM-based metrics across NYT, DBLP, and arXiv topics
Read the original at arxiv.org→arXiv:2608.13835v1 Announce Type: new Abstract: Dynamic topic models capture evolving word distributions, but traditional coherence metrics may fail when vocabulary changes while semantic meaning persists. We...
Original headline: "When Lexical Change Misleads: Rethinking Dynamic Topic Model Evaluation with Traditional and LLM-Based Metrics"
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- Aug 17, 04:00 UTC arXiv cs.CL lead source When Lexical Change Misleads: Rethinking Dynamic Topic Model Evaluation with Traditional and LLM-Based Metrics