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RESEARCH ENGINEER · TENCENT HY

Qian Dong董骞

Efficient models.
Scalable intelligence.

I work on model architecture at Tencent HY's Pretraining Team, exploring how to make capable models more efficient at scale. Ph.D. in Computer Science, Tsinghua University.

Cartoon avatar of Qian Dong
BEIJING, CHINATsinghua Ph.D. · 2026
LATEST Hy4 preview is here. Bringing IndexCache to 1M-token context.

01 / ABOUT

A little about me

From research to real-world systems.

I am a Research Engineer on the Pretraining Team at Tencent HY, where I work on model architecture. I received my Ph.D. in Computer Science and Technology from Tsinghua University in June 2026. I was fortunate to be advised by Prof. Shaoping Ma, Prof. Yiqun Liu, and Prof. Qingyao Ai. My research focuses on efficient, scalable model architectures and the systems that make them practical.

02 / RESEARCH

Research interests

Making intelligence more efficient.

Model Architecture

Co-designing algorithms and infrastructure for capable models that remain efficient at scale.

Efficient Attention

Sparse attention, linear attention, and architecture-level techniques for reducing inference cost.

Scalable Context

Extending useful context while balancing model quality, memory, throughput, and latency.

Low-Precision Training

Developing stable low-precision methods that reduce training cost while preserving model quality at scale.

03 / NEWS

Latest updates

Recent work and milestones.

  • Hy4 preview was released. As one of its model-architecture contributors, I helped bring our research IndexCache into production in Hy4, enabling a cost-efficient 1M-token context.

  • I received my Ph.D. in Computer Science and Technology from Tsinghua University.

  • IndexCache was released, accelerating sparse attention via cross-layer index reuse.

  • The GLM-5 Technical Report was released. I am one of the core contributors to model architecture.

Earlier updates 2025
  • GLM-4.7 was released. See our blog for details.

  • GLM-4.6 was released. See our blog for details.

  • The GLM-4.5 Technical Report was released. I contributed to sparse-attention adaptation during post-training.

04 / PUBLICATIONS

Selected publications

Ideas, experiments, and findings.

Work on model architecture, information retrieval, and language models.

View all publications on Google Scholar
Primary author 10 papers
  • SelfRACG: Enabling LLMs to Self-Express and Retrieve for Code Generation

    Qian Dong, Jia Chen, Qingyao Ai, Hongning Wang, Haitao Li, Yi Wu, Yao Hu, Yiqun Liu, Shaoping Ma

    EMNLP 2025TH-CPL-ACCF-Bpaper ↗

  • Qilin: A Multimodal Information Retrieval Dataset with APP-level User Sessions

    Jia Chen*, Qian Dong*, Haitao Li, Xiaohui He, Yan Gao, Shaosheng Cao, Yi Wu, Ping Yang, Chen Xu, Yao Hu, Qingyao Ai, Yiqun Liu (* equal contribution)

    SIGIR 2025TH-CPL-ACCF-A

  • DecoupledRAG: An Efficient and Effective Retrieval Augmented Generation Framework via Cross Attention

    Qian Dong, Qingyao Ai, Hongning Wang, Yiding Liu, Haitao Li, Weihang Su, Yiqun Liu, Tat-Seng Chua, Shaoping Ma

    WWW 2025TH-CPL-ACCF-A

  • Unsupervised Large Language Model Alignment for Information Retrieval via Contrastive Feedback

    Qian Dong, Yiding Liu, Qingyao Ai, Zhijing Wu, Haitao Li, Yiqun Liu, Shuaiqiang Wang, Dawei Yin, Shaoping Ma

    SIGIR 2024TH-CPL-ACCF-Apaper ↗

  • T²Ranking: A Large-scale Chinese Benchmark for Passage Ranking

    Xiaohui Xie, Qian Dong* (student first author), Bingning Wang, Feiyang Lv, Ting Yao, Weinan Gan, Zhijing Wu, Xiangsheng Li, Haitao Li, Yiqun Liu, Jin Ma

    SIGIR 2023TH-CPL-ACCF-Apaper ↗

  • I³Retriever: Incorporating Implicit Interaction in Pre-trained Language Models for Passage Retrieval

    Qian Dong, Yiding Liu, Qingyao Ai, Haitao Li, Shuaiqiang Wang, Yiqun Liu, Dawei Yin, Shaoping Ma

    CIKM 2023TH-CPL-BCCF-Bpaper ↗

  • Incorporating Explicit Knowledge in Pre-trained Language Models for Passage Re-ranking

    Qian Dong, Yiding Liu, Suqi Cheng, Shuaiqiang Wang, Zhicong Cheng, Shuzi Niu, Dawei Yin

    SIGIR 2022TH-CPL-ACCF-Apaper ↗

  • Disentangled Graph Recurrent Network for Document Ranking

    Qian Dong, Shuzi Niu, Tao Yuan, Yucheng Li

    Data Science and EngineeringJCR-Q1paper ↗

  • Legal Judgment Prediction via Relational Learning

    Qian Dong, Shuzi Niu

    SIGIR 2021TH-CPL-ACCF-Apaper ↗

  • Latent Graph Recurrent Network for Document Ranking

    Qian Dong, Shuzi Niu

    DASFAA 2021TH-CPL-BCCF-Bpaper ↗

Co-author 9 papers
  • IndexCache: Accelerating Sparse Attention via Cross-Layer Index Reuse

    Yushi Bai, Qian Dong, Ting Jiang, Xin Lv, Zhengxiao Du, Aohan Zeng, Jie Tang, Juanzi Li

    arXiv 2026paper ↗

  • CalibraEval: Calibrating Prediction Distribution to Mitigate Selection Bias in LLMs-as-Judges

    Haitao Li, Junjie Chen, Qingyao Ai, Zhumin Chu, Yujia Zhou, Qian Dong, Yiqun Liu

    ACL 2025CCF-A

  • LLMs-as-Judges: A Comprehensive Survey on LLM-based Evaluation Methods

    Haitao Li, Qian Dong, Junjie Chen, Huixue Su, Yujia Zhou, Qingyao Ai, Ziyi Ye, Yiqun Liu

    under review

  • DELTA: Pre-train a Discriminative Encoder for Legal Case Retrieval via Structural Word Alignment

    Haitao Li, Qingyao Ai, Xinyan Han, Jia Chen, Qian Dong, Yiqun Liu, Chong Chen, Qi Tian

    AAAI 2025CCF-A

  • BLADE: Enhancing Black-box Large Language Models with Small Domain-Specific Models

    Haitao Li, Qingyao Ai, Jia Chen, Qian Dong, Zhijing Wu, Yiqun Liu, Chong Chen, Qi Tian

    AAAI 2025CCF-A

  • SAILER: Structure-aware Pre-trained Language Model for Legal Case Retrieval

    Haitao Li, Qingyao Ai, Jia Chen, Qian Dong, Yueyue Wu, Yiqun Liu, Chong Chen, Qi Tian

    SIGIR 2023CCF-Apaper ↗

  • Layout-aware Webpage Quality Assessment

    Anfeng Cheng, Yiding Liu, Weibin Li, Qian Dong, Shuaiqiang Wang, Zhengjie Huang, Shikun Feng, Zhicong Cheng, Dawei Yin

    arXiv 2023paper ↗

  • Incorporating Social-Aware User Preference for Video Recommendation

    Xuanji Xiao, Huaqiang Dai, Qian Dong, Shuzi Niu, Yuzhen Liu, Pei Liu

    WISE 2023CCF-Cpaper ↗

  • Emotion Recognition Based on Multi-View Body Gestures

    Zhijuan Shen, Jun Cheng, Xiping Hu, Qian Dong

    ICIP 2019CCF-Cpaper ↗

05 / OFF THE CLOCK

Beyond research

A little curiosity outside of work.

Away from models and systems, I enjoy exploring craft beer — from crisp wheat beers and hop-forward IPAs to Belgian witbiers and saisons.

Let’s talk research, or a good craft beer