publications | Xu Guo | Fudan University

2026

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

Xu Guo, Jian Tong, Zhihui Lu, and Qipeng Guo

arXiv preprint arXiv:2607.01727, 2026

@article{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},
  journal = {arXiv preprint arXiv:2607.01727},
  year = {2026},
}

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, and Qipeng Guo

arXiv preprint arXiv:2605.10129, 2026

arXiv Bib HTML

@article{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},
  journal = {arXiv preprint arXiv:2605.10129},
  year = {2026},
}

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, and 1 more author

In Findings of the Association for Computational Linguistics: ACL 2026, 2026

arXiv Bib HTML

@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},
}

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, and Xiao Sun

In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2026

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@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},
}

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, and Gongshen Liu

In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2026

arXiv Bib HTML PDF

@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},
}

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, and Kai Chen

In International Conference on Machine Learning, 2026

Bib HTML

@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

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, and Kai Chen

arXiv preprint arXiv:2508.04632, 2025

arXiv Bib HTML

@article{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},
  journal = {arXiv preprint arXiv:2508.04632},
  year = {2025},
}

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, and Xipeng Qiu

arXiv preprint arXiv:2512.22234, 2025

arXiv Bib HTML

@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},
}

PreFabric: Eliminating Conflicts for High-Throughput Permissioned Blockchains

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

In 2025 IEEE International Conference on Web Services, 2025

DOI Bib HTML

@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},
}

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, and 3 more authors

arXiv preprint arXiv:2510.14620, 2025

arXiv Bib HTML

@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

Towards transferable adversarial attacks on vision transformers for image classification

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

Journal of Systems Architecture, 2024

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@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},
}