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LLM-based pricing framework deployed on Xianyu, boosting adoption rates

Researchers have developed LLP, a novel framework for pricing second-hand products on e-commerce platforms like eBay. Unlike traditional static regression models, LLP utilizes Large Language Models (LLMs) to better understand market dynamics and free-form text descriptions for more accurate pricing suggestions. The system employs a two-stage optimization process, including supervised fine-tuning and group relative policy optimization, and has been successfully deployed on Xianyu, China's largest second-hand e-commerce platform, significantly improving adoption rates. AI

IMPACT This research demonstrates a practical application of LLMs for dynamic pricing in e-commerce, potentially improving efficiency for sellers and platforms.

RANK_REASON The item is a research paper detailing a new LLM-based framework for product pricing, including experimental results and deployment on a real-world platform. [lever_c_demoted from research: ic=1 ai=1.0]

Read on arXiv cs.CL →

AI-generated summary · Google Gemini · from 1 sources. How we write summaries →

LLM-based pricing framework deployed on Xianyu, boosting adoption rates

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The item is a research paper detailing a new LLM-based framework for product pricing, including experimental results and deployment on a real-world platform. [lever_c_demoted from research: ic=1 ai…
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COVERAGE [1]

  1. arXiv cs.CL TIER_1 English(EN) · Hairu Wang, Sheng You, Qiheng Zhang, Xike Xie, Shuguang Han, Yuchen Wu, Fei Huang, Jufeng Chen ·

    LLP: LLM-Based Product Pricing in E-commerce

    arXiv:2510.09347v2 Announce Type: replace Abstract: Unlike Business-to-Consumer e-commerce platforms (e.g., Amazon), inexperienced individual sellers on Consumer-to-Consumer platforms (e.g., eBay) often face significant challenges in setting prices for their second-hand products …