16 citations · 18 across the 5 of their papers we have counts for
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cs.CL2025
Balancing Complexity and Informativeness in LLM-Based Clustering: Finding the Goldilocks Zone
Justin Miller, Tristram Alexander
The challenge of clustering short text data lies in balancing informativeness with interpretability. Traditional evaluation metrics often overlook this trade-off. Inspired by lingu…
cs.CL2024★ 16 cited
Human-interpretable clustering of short-text using large language models
Justin K. Miller, Tristram J. Alexander
Clustering short text is a difficult problem, due to the low word co-occurrence between short text documents. This work shows that large language models (LLMs) can overcome the lim…