Publications

Publications by Xu Guo (郭旭), a PhD student at the School of Computer Science, Fudan University, working on large language models, data-centric AI, post-training, reinforcement learning, and AI agents.

2026

  1. Synthetic Pre-Pre-Training Improves Language Model Robustness to Noisy Pre-Training Data

    Xu Guo, Runyu Peng, Jian Tong, Yunhua Zhou, Haijun Lv, Zhihui Lu, Qipeng Guo

    NeurIPS 2026

    arXiv
    BibTeX 
    @inproceedings{guo2026synthetic,
  title = {Synthetic Pre-Pre-Training Improves Language Model Robustness to Noisy Pre-Training Data},
  author = {Guo, Xu and Peng, Runyu and Tong, Jian and Zhou, Yunhua and Lv, Haijun and Lu, Zhihui and Guo, Qipeng},
  booktitle = {Advances in Neural Information Processing Systems},
  year = {2026},
}

  2. IFDECORATOR: Wrapping Instruction Following Reinforcement Learning with Verifiable Rewards

    Xu Guo, Tianyi Liang, Tong Jian, Xiaogui Yang, Ling-I Wu, Chenhui Li, Zhihui Lu, Qipeng Guo, Kai Chen

    NeurIPS 2026

    arXiv
    BibTeX 
    @inproceedings{guo2025ifdecorator,
  title = {{IFDECORATOR}: Wrapping Instruction Following Reinforcement Learning with Verifiable Rewards},
  author = {Guo, Xu and Liang, Tianyi and Jian, Tong and Yang, Xiaogui and Wu, Ling-I and Li, Chenhui and Lu, Zhihui and Guo, Qipeng and Chen, Kai},
  booktitle = {Advances in Neural Information Processing Systems},
  year = {2026},
}

  3. When Does Generating More Help? Disentangling Fixed-Source Synthesis from Source Expansion in Synthetic Data Scaling

    Xu Guo, Jian Tong, Zhihui Lu, Qipeng Guo

    EMNLP Findings 2026

    arXiv
    BibTeX 
    @inproceedings{guo2026when,
  title = {When Does Generating More Help? Disentangling {Fixed-Source Synthesis} from {Source Expansion} in {Synthetic Data Scaling}},
  author = {Guo, Xu and Tong, Jian and Lu, Zhihui and Guo, Qipeng},
  booktitle = {Findings of the Association for Computational Linguistics: EMNLP 2026},
  year = {2026},
}

  4. Rethinking Multiple-Choice Questions for RLVR: Unlocking Potential via Distractor Design

    Xu Guo, Qiming Ge, Jian Tong, Kedi Chen, Jin Zhang, Xiaogui Yang, Xuan Gao, Haijun Lv, Zhihui Lu, Yicheng Zou, Qipeng Guo

    ACL Findings 2026

    arXiv Paper
    BibTeX 
    @inproceedings{guo2026rethinking,
  title = {Rethinking Multiple-Choice Questions for {RLVR}: Unlocking Potential via Distractor Design},
  author = {Guo, Xu and Ge, Qiming and Tong, Jian and Chen, Kedi and Zhang, Jin and Yang, Xiaogui and Gao, Xuan and Lv, Haijun and Lu, Zhihui and Zou, Yicheng and Guo, Qipeng},
  booktitle = {Findings of the Association for Computational Linguistics: ACL 2026},
  year = {2026},
}

  5. From Detection to Association: Learning Discriminative Object Embeddings for Multi-Object Tracking

    Yuqing Shao, Yuchen Yang, Rui Yu, Weilong Li, Xu Guo, Huaicheng Yan, Wei Wang, Xiao Sun

    CVPR 2026

    Paper PDF
    BibTeX 
    @inproceedings{shao2026fdta,
  title = {From Detection to Association: Learning Discriminative Object Embeddings for Multi-Object Tracking},
  author = {Shao, Yuqing and Yang, Yuchen and Yu, Rui and Li, Weilong and Guo, Xu and Yan, Huaicheng and Wang, Wei and Sun, Xiao},
  booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition},
  year = {2026},
}

  6. Consensus Entropy: Harnessing Multi-VLM Agreement for Self-Verifying and Self-Improving OCR

    Yulong Zhang, Tianyi Liang, Erfei Cui, Guoqing Wang, Xu Guo, Chenhui Li, Gongshen Liu

    CVPR 2026

    arXiv Paper PDF
    BibTeX 
    @inproceedings{zhang2026consensus,
  title = {Consensus Entropy: Harnessing {Multi-VLM} Agreement for Self-Verifying and Self-Improving {OCR}},
  author = {Zhang, Yulong and Liang, Tianyi and Cui, Erfei and Wang, Guoqing and Guo, Xu and Li, Chenhui and Liu, Gongshen},
  booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition},
  year = {2026},
}

  7. Reasoning Compartmentalization: Bridging the Concretization Gap via Abstraction-based Routing

    Ling-I Wu, Jian Tong, Yu Sun, Xuan Gao, Xu Guo, Guoqiang Li, Qipeng Guo, Kai Chen

    ICML 2026

    Paper
    BibTeX 
    @inproceedings{wu2026reasoning,
  title = {Reasoning Compartmentalization: Bridging the Concretization Gap via Abstraction-based Routing},
  author = {Wu, Ling-I and Tong, Jian and Sun, Yu and Gao, Xuan and Guo, Xu and Li, Guoqiang and Guo, Qipeng and Chen, Kai},
  booktitle = {International Conference on Machine Learning},
  year = {2026},
}

2025

  1. DiRL: An Efficient Post-Training Framework for Diffusion Language Models

    Ying Zhu, Jiaxin Wan, Xiaoran Liu, Siyang He, Qiqi Wang, Xu Guo, Tianyi Liang, Zengfeng Huang, Ziwei He, Xipeng Qiu

    Preprint 2025

    arXiv
    BibTeX 
    @article{zhu2025dirl,
  title = {{DiRL}: An Efficient Post-Training Framework for Diffusion Language Models},
  author = {Zhu, Ying and Wan, Jiaxin and Liu, Xiaoran and He, Siyang and Wang, Qiqi and Guo, Xu and Liang, Tianyi and Huang, Zengfeng and He, Ziwei and Qiu, Xipeng},
  journal = {arXiv preprint arXiv:2512.22234},
  year = {2025},
}

  2. PreFabric: Eliminating Conflicts for High-Throughput Permissioned Blockchains

    Junxiong Lin, Zhihui Lu, Yiguang Zhang, Ruijun Deng, Qiang Duan, Hengqi Guo, Xu Guo, Baoqi Huang

    ICWS 2025

    Paper DOI
    BibTeX 
    @inproceedings{lin2025prefabric,
  title = {{PreFabric}: Eliminating Conflicts for High-Throughput Permissioned Blockchains},
  author = {Lin, Junxiong and Lu, Zhihui and Zhang, Yiguang and Deng, Ruijun and Duan, Qiang and Guo, Hengqi and Guo, Xu and Huang, Baoqi},
  booktitle = {2025 IEEE International Conference on Web Services},
  pages = {753--763},
  year = {2025},
  doi = {10.1109/ICWS67624.2025.00098},
}

  3. Code-driven Number Sequence Calculation: Enhancing the inductive Reasoning Abilities of Large Language Models

    Kedi Chen, Zhikai Lei, Xu Guo, Xuecheng Wu, Siyuan Zeng, Jia-Peng Yin, Yinqi Zhang, Qin Chen, Jie Zhou, Liang He, Qipeng Guo, Kai Chen, Wei Zhang

    Preprint 2025

    arXiv
    BibTeX 
    @article{chen2025codedriven,
  title = {Code-driven Number Sequence Calculation: Enhancing the inductive Reasoning Abilities of Large Language Models},
  author = {Chen, Kedi and Lei, Zhikai and Guo, Xu and Wu, Xuecheng and Zeng, Siyuan and Yin, Jia-Peng and Zhang, Yinqi and Chen, Qin and Zhou, Jie and He, Liang and Guo, Qipeng and Chen, Kai and Zhang, Wei},
  journal = {arXiv preprint arXiv:2510.14620},
  year = {2025},
}

2024

  1. Towards transferable adversarial attacks on vision transformers for image classification

    Xu Guo, Peng Chen, Zhihui Lu, Hongfeng Chai, Xin Du, Xudong Wu

    JSA 2024 (CCF-B)

    Paper DOI
    BibTeX 
    @article{guo2024towards,
  title = {Towards transferable adversarial attacks on vision transformers for image classification},
  author = {Guo, Xu and Chen, Peng and Lu, Zhihui and Chai, Hongfeng and Du, Xin and Wu, Xudong},
  journal = {Journal of Systems Architecture},
  volume = {152},
  pages = {103155},
  year = {2024},
  doi = {10.1016/j.sysarc.2024.103155},
}