Hint-Augmented Re-ranking: Enhancing Product Search with LLM Query Decomposition
Published:Nov 17, 2025 23:53
•1 min read
•ArXiv
Analysis
This ArXiv paper likely introduces a novel approach to improve product search relevance using Large Language Models (LLMs). The method, "Hint-Augmented Re-ranking," suggests an efficient way to enhance search results by decomposing user queries, potentially leading to better user experience.
Key Takeaways
Reference
“The paper leverages LLM-based query decomposition for improved search results.”