Papers with EQR
Identifying High Consideration E-Commerce Search Queries (2024.emnlp-industry)
Copied to clipboard
| Challenge: | Identifying high consideration queries is essential for e-commerce sites to better serve user needs . ecommerce sites can create or serve customized content for specific queries . |
| Approach: | They propose an engagement-based Query Ranking approach to identify potential engagement levels with query-related shopping knowledge content during product search. |
| Outcome: | The proposed method outperforms human-selected queries in terms of customer impact . human evaluation shows a precision of 96% for HC queries identified by the model . |
Beyond Demonstrations: Dynamic Vector Construction from Latent Representations (2025.emnlp-main)
Copied to clipboard
| Challenge: | Existing methods for In-Context Learning (ICL) are sensitive to ICL-specific factors and rely on heuristic-based injection positions. |
| Approach: | They propose a method that extracts task-relevant representations from large language models and reinjects them during inference. |
| Outcome: | The proposed method outperforms few-shot In-Context Learning (ICL) and LoRA methods without repeated demonstration processing. |