Sen Mei

Sen Mei

Algorithm Engineer

Qiyuan Lab

Research Interests

Natural Language Processing
Retrieval-Augmented Generation
Information Retrieval

About

I am an algorithm engineer at Qiyuan Lab, mentored by Yukun Yan and Zhiyuan Liu.

Prior to this, I obtained my Master’s degree from Northeastern University, advised by Zhenghao Liu and Chenyan Xiong.

My current research interests focus on Retrieval-Augmented Generation (RAG) and Agentic RL.

News

2025-11

UltraRAG has reached 2,000 stars on GitHub!

Selected Publications

View All →

UltraRAG v2: A Low-Code MCP Framework for Building Complex and Innovative RAG Pipelines

Sen Mei, Haidong Xin, Chunyi Peng, Yukun Yan, Others

OpenBMB

A Low-Code MCP Framework for Building Complex and Innovative Retrieval-Augmented Generation systems.

RAG-DDR: Optimizing Retrieval-Augmented Generation Using Differentiable Data Rewards

Xinze Li, Sen Mei, Zhenghao Liu, Yukun Yan, Others

ICLR

RAG-DDR is an end-to-end method that aligns RAG modules through data rewards, enabling LLMs to use retrieved knowledge more effectively than SFT.