Scaling LLM Classification via Hallucination and Vector Search
Use LLMs to generate hypothetical categories and resolve them to a real taxonomy via vector similarity for cheaper, more scalable classification.
Text Classification
Categorizing and labeling text into predefined classes using NLP techniques, from traditional ML approaches like TF-IDF with classifiers to modern LLM-based methods.
Reading List
From Labels to Prompts: LLMs Match Supervised Warranty Classification
320
Prompted LLMs, tuned through reasoning-led iteration, matched a supervised warranty classifier and shifted the bottleneck from labeled data to instructions.
Canonicalizing LLM Labels with Embeddings and DSU
318
Use embeddings + vector search + DSU clustering to canonicalize LLM-generated labels, yielding consistent, cheaper, and faster classification at scale.