2 papers
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.LG2025
Moving Past Single Metrics: Exploring Short-Text Clustering Across Multiple Resolutions
Justin Miller, Tristram Alexander
Cluster number is typically a parameter selected at the outset in clustering problems, and while impactful, the choice can often be difficult to justify. Inspired by bioinformatics…