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.CV2023
Transfer Learning for Fine-grained Classification Using Semi-supervised Learning and Visual Transformers
Manuel Lagunas, Brayan Impata, Victor Martinez +4
Fine-grained classification is a challenging task that involves identifying subtle differences between objects within the same category. This task is particularly challenging in sc…