Jianlyu Chen

In this paper, we introduce ReasonEmbed , a novel text embedding model developed for reasoning-intensive document retrieval. Our work includes three key technical contributions. First, we propose ReMixer , a new data synthesis method that overcomes the triviality problem prevalent in previous syn...

Effective medical text retrieval requires both high accuracy and low latency. While LLM-based embedding models possess powerful retrieval capabilities, their prohibitive latency and high computational cost limit their application in real-time scenarios. Furthermore, the lack of comprehensive and...