2025
SPILL: Domain-Adaptive Intent Clustering based on Selection and Pooling with Large Language Models
ACL 2025finding
In this paper, we propose Selection and Pooling with Large Language Models (SPILL), an intuitive, domain-adaptive method for intent clustering without fine-tuning. Existing embeddings-based clustering methods rely on a few labeled examples or unsupervised fine-tuning to optimize results for each new…