Papers by Suleiman A. Khan
Leveraging Product Catalog Patterns for Multilingual E-commerce Product Attribute Prediction (2025.emnlp-industry)
Copied to clipboard
| Challenge: | E-commerce stores increasingly use Large Language Models to improve catalog data quality . a critical challenge is accurately predicting missing structured attribute values . |
| Approach: | They propose a retrieval-augmented system that leverages existing product catalog entries to guide LLM predictions for missing attributes. |
| Outcome: | The proposed system improves catalog data quality by 34% and accuracy by 0.8% . the proposed model can predict missing attributes in multilingual product catalogs . |
Auto prompting without training labels: An LLM cascade for product quality assessment in e-commerce catalogs (2025.emnlp-industry)
Copied to clipboard
| Challenge: | Our system generates and refines prompts for evaluating attribute quality across tens of thousands of product category–attribute pairs. |
| Approach: | They propose a free cascade for auto-prompting Large Language Models (LLMs) that generates and refines prompts for evaluating attribute quality across tens of thousands of product category–attribute pairs. |
| Outcome: | The proposed system improves precision and recall by 8–10% over chain-of-thought prompting while reducing domain expert effort from 5.1 hours to 3 minutes per attribute. |