Papers by Fatemeh Sheikholeslami
Auto prompting without training labels: An LLM cascade for product quality assessment in e-commerce catalogs (2025.emnlp-industry)
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| 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. |
Scalable and Safe Remediation of Defective Actions in Self-Learning Conversational Systems (2023.acl-industry)
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| Challenge: | Off-Policy reinforcement learning has been used to improve conversational AIs, but in large-scale commercial environments it is challenging to balance between policy improvements and experience continuity. |
| Approach: | They propose to curate and leverage regression incident reports to validate, safe-guard, and improve policies prior to the online deployment. |
| Outcome: | The proposed method validates, safe-guards, and improves policies prior to the online deployment. |