Papers by Swati Kaul
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. |