2 papers
cs.CL2026
SynthAVE: Scalable Synthetic Labeling for E-Commerce with LLM-Arena Validation
Andrea Scarinci, Virginia Negri, Brayan Impata +3
Fine-tuning large language models (LLMs) for e-commerce attribute extraction requires labeled data representative across thousands of product types, attributes, and multiple langua…
cs.CL2025
Auto prompting without training labels: An LLM cascade for product quality assessment in e-commerce catalogs
Soham Satyadharma, Fatemeh Sheikholeslami, Swati Kaul +2
We introduce a novel, training free cascade for auto-prompting Large Language Models (LLMs) to assess product quality in e-commerce. Our system requires no training labels or model…