Exploring Reasoning-Infused Text Embedding with Large Language Models for Zero-Shot Dense Retrieval

Yuxiang Liu, Tian Wang, Gourab Kundu +6

Transformer-based models such as BERT and E5 have significantly advanced text embedding by capturing rich contextual representations. However, many complex real-world queries requi…