Yixuan Xie 「谢沂烜」

Hi, this is Mark!

I am a MSCS student at University of Illinois, Urbana Champaign, advised by Professor Jiawei Han.

Before that, I did my undergrad at UIUC (2022–2026), earning a B.S. in Computer Science and Statistics with Highest Honors.

My current research interests include:

Agent memory;
Synthetic data for Search Agents;
Retrieval-augmented generation (RAG);

News

May 26, 2026	Started as a summer RA on memory for search agents, in collaboration with researchers at Amazon.
May 15, 2026	Graduated from UIUC in CS & Statistics, continuing for MSCS with Prof. Jiawei Han.

Publications

Preprint

Retrieval is Cheap, Show Me the Code: Executable Multi-Hop Reasoning for Retrieval-Augmented Generation

Jiashuo Sun^† , Jimeng Shi^† , Yixuan Xie, Saizhuo Wang , Jash Rajesh Parekh , Pengcheng Jiang , Zhiyi Shi , Jiajun Fan , Qinglong Zheng , Peiran Li , Shaowen Wang , Ge Liu , and Jiawei Han

TL;DR arXiv Project Page Code

TL;DR: PyRAG reformulates multi-hop RAG as executable Python programs over retrieve/answer tools, with compiler-grounded self-repair and adaptive retrieval—outperforming strong baselines on five QA benchmarks (up to +25.5 EM on Bamboogle).
Preprint

TaSR-RAG: Taxonomy-guided Structured Reasoning for Retrieval-Augmented Generation

Jiashuo Sun^† , Yixuan Xie^†, Jimeng Shi , Shaowen Wang , and Jiawei Han

TL;DR arXiv

TL;DR: We propose TaSR-RAG, which uses a lightweight two-level taxonomy to guide step-wise triple-based evidence selection for multi-hop RAG, outperforming strong baselines by up to 14%.