👋 I’m currently an M.S. in Computer Science at Northeastern University. My research interests span NLP, Information Retrieval, Retrieval-Augmented Generation, Recommender Systems, and Multi-agent Systems. My Google Scholar is here .

🎓 I hold a B.S. in Computer Science from Harbin Engineering University. I’m now an M.S. at NEUIR Lab, supervised by Associate Professor Zhenghao Liu. I also work closely with Qiyuan Lab , ModelBest , and TsinghuaNLP , mentored by Associate Researcher Yukun Yan.

🔥 We sincerely invite you to use and contribute to our new project, UltraRAG v3!

🔥 Your feedback, ideas, and participation are warmly welcome!

Page Views: · Last Edit: 2026-02-06 · hdxin2002@gmail.com

🔥 News

2026.02: 🎉 Our Paper Knowledge Intensive Agents is accepted by AI Open (IF=14.8)!
2026.01: 🎉 UltraRAG v3 reached GitHub Trending Top 2 !
2026.01: 🎉 We released UltraRAG v3, make every line of reasoning logic clearly visible!
2025.11: 🎉 Our paper LISRec is accepted by KDD 2026 (CCF-A)!
2025.11: 🎉 We released UltraRAG v2.1, We add multimodal support and more unified evaluation mechanisms!
2025.08: 🎉 We released UltraRAG v2, an low-code framework for building complex RAG systems!
2025.08: 🎉 Our paper TASTE$^+$ is accepted by WISA 2025, and selected for an oral presentation!
2025.08: 🎉 Our paper LLMsPark is accepted by EMNLP 2025 (CCF-B)!
2024.04: 🎉 We released a Github repo heu-icicles , and warmly invite you to contribute!
2024.02: 🎉 Our paper MMAD is accepted by COLING 2024 (CCF-B)!
2023.05: 🎉 Our paper was selected for the Honorable Mention Award at MCM/ICM 2023!

📝 Publications

* indicates equal contribution, and † indicates corresponding author.

ArXiv 2026

Structured Knowledge Representation through Contextual Pages for Retrieval-Augmented Generation

Xinze Li, Zhenghao Liu$^†$, Haidong Xin, Yukun Yan, Shuo Wang, Zheni Zeng, Sen Mei, Ge Yu, Maosong Sun

This work enhances RAG systems by constructing structured cognitive outlines to guide iterative retrieval, effectively organizing multi-dimensional knowledge into coherent pages for more accurate answer generation.

KDD 2026

LISRec: Modeling User Preferences with Learned Item Shortcuts for Sequential Recommendation

Haidong Xin, Zhenghao Liu$^†$, Sen Mei, Yukun Yan, Shi Yu, Shuo Wang, Zulong Chen, Yu Gu, Ge Yu, Chenyan Xiong

This work improves sequential recommendation systems by extracting personalized semantic shortcuts from user-item interaction histories, enhancing the capture of stable user preferences.

AI Open

Knowledge Intensive Agents

Zhenghao Liu, Pengcheng Huang, Zhipeng Xu, Xinze Li, Shuliang Liu, Chunyi Peng, Haidong Xin, Yukun Yan$^†$, Shuo Wang, Xu Han, Zhiyuan Liu$^†$, Maosong Sun$^†$, Yu Gu, Ge Yu

This work provides a comprehensive overview of Retrieval-Augmented Generation from an agentic perspective, categorizing knowledge-intensive agents into acquisition and utilization roles, and highlighting future directions for joint optimization in multi-agent RAG systems.

WISA 2025

Adapting Language Models to Text Matching based Recommendation Systems

Haidong Xin, Sen Mei, Zhenghao Liu$^†$, Xiaohua Li, Minghe Yu, Yu Gu, Ge Yu

This work has significantly improved the performance of text matching in recommendation systems by incorporating language model pretraining.

EMNLP 2025

LLMsPark: A Benchmark for Evaluating Large Language Models in Strategic Gaming Contexts

Junhao Chen, Jingbo Sun, Xiang Li, Haidong Xin, Yuhao Xue, Yibin Xu, Hao Zhao$^†$

This work introduces LLMsPark, a game theory-based platform for evaluating large language models’ strategic behaviors and decision-making abilities in multi-agent environments, providing a novel criterion for assessing their intelligence.

COLING 2024

Xiaojun Ye, Junhao Chen, Xiang Li, Haidong Xin, Chao Li, Sheng Zhou$^†$, Jiajun Bu

[📄 Paper]

This work has unlocked a whole new experience of watching movies for the visually impaired.

MCM/ICM 2023

Puzzle Game: Prediction and Classification of Wordle Solution Words

Haidong Xin$^{*†}$, Fang Wu$^{*}$, Zhitong Zhou$^{*}$

This work conducted a detailed numerical analysis of the Wordle game, revealing statistical patterns within it.

🏆 Awards

2025.11 🥇First Prize of Excellent Student Scholarship.
2024.11 🥇First Prize of Excellent Student Scholarship.
2023.07 🥈National Second Prize of Chinese Collegiate Computing Competition (4C 2023).
2023.05 🥈Honorable Mention of Mathematical Contest in Modeling (MCM/ICM 2023).
2023.05 🥈Second Prize of College International College Students’ Innovation Competition.
2022.11 🥇First Prize of China Undergraduate Mathematical Contest in Modeling (CUMCM 2022).
2022.10 🥈Second Prize of Mathematical Modeling of the Three Northeastern Provinces League.
2022.05 🥇First Prize of Excellent Student Scholarship.
2021.05 🥇First Prize of Excellent Student Scholarship.

📖 Educations

2024.09 - now, M.S. School of Computer Science and Engineering, Northeastern University
2020.09 - 2024.06, B.S. College of Computer Science and Technology, Harbin Engineering University
2017.09 - 2020.06, Yichun No.1 Middle School

💬 Media Mentions

💻 Internships

2024.04 - now, Qiyuan Lab (TsinghuaNLP), Beijing.
2024.10 - 2025.02, Language Technologies Institute (LTI), Carnegie Mellon University, Online.
2023.10 - now, NEUIR Lab, Northeastern University, Shenyang.
2023.05 - 2023.06, China Unicom Research Centre, Harbin.
2023.07 - 2023.08, Workforce Development Program (WDP) of Oracle, Harbin.
2022.09 - 2024.06, E-Government Modeling Simulation National Engineering Laboratory, Harbin.

Haidong Xin