3 papers
cs.LG2026
Positional task conditioning for scalable defect detection across product families in large product catalogs
Soham Satyadharma, Gabriel Roccabruna, Suleiman A. Khan
Product families in large product catalogs suffer from inconsistencies such as duplicates and unit mismatches that degrade customer experience. Detecting these requires reasoning o…
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…