arXiv Machine Learning
Sep 24

InsurTech innovation using natural language processing

The paper "InsurTech innovation using natural language processing" outlines how insurance firms are adopting NLP to convert unstructured text into structured data for actuarial analysis. It presents case studies that use alternative data from an InsurTech partner to demonstrate feature de‑biasing, compression, and new industry classification methods in commercial insurance. These techniques enhance traditional rating factors and provide fresh risk assessment perspectives, positioning NLP as a core component of contemporary insurance analytics.

By Panyi Dong, Zhiyu Quan
arXiv Machine Learning
Jul 28

SMART: LLM-Augmented Hybrid Retrieval for Dynamic Product Ads

arXiv:2607. 23121v1 Announce Type: cross Abstract: Dynamic Product Ads (DPA) require retrieving relevant items from multi-million product catalogs, balancing two competing objectives: retargeting (re-surfacing known interests) and prospecting (discovering new categories).

By Congfei Zhang, Jingxiao Ma, Xiaodong Liu, Hsiang-wei Chao, Siman Wang, Ge Liu, Shantanu Aggarwal, Vincent Zhang, Meghana Missula, Rachel Liao, Zichu Li, Xiao Bai, Yunzhi Zhou, Yajun Wang, Zhe Liu, Jinchao Li, Yu Zhang