Publications

@misc{guo2026pivoarl,
  title={Agent Reinforcement Learning via Pivotal-Aware Self-Feedback Retry},
  author={Guo, Weiyang and Shi, Zesheng and Zhang, Longhui and Zhu, Zeen and Zhang, Min and Li, Jing},
  year={2026},
  eprint={2607.03702},
  archivePrefix={arXiv},
  primaryClass={cs.AI},
  url={https://arxiv.org/abs/2607.03702}
}

@inproceedings{guo2026backdoors,
  title={Backdoors in RLVR: Jailbreak Backdoors in LLMs From Verifiable Reward},
  author={Guo, Weiyang and Shi, Zesheng and Zhu, Zeen and Zhou, Yuan and Zhang, Min and Li, Jing},
  booktitle={Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics},
  year={2026}
}

@inproceedings{guo2026e3tir,
  title={E3-TIR: Enhanced Experience Exploitation for Tool-Integrated Reasoning},
  author={Guo, Weiyang and Shi, Zesheng and Zhao, Liye and Ma, Jiayuan and Zhu, Zeen and He, Junxian and Zhang, Min and Li, Jing},
  booktitle={Findings of the Association for Computational Linguistics: ACL 2026},
  year={2026}
}

@inproceedings{guo2025noisy,
  title={LLMs Are Noisy Oracles! LLM-based Noise-aware Graph Active Learning for Node Classification},
  author={Guo, Weiyang and others},
  booktitle={Proceedings of the 31st ACM SIGKDD Conference on Knowledge Discovery and Data Mining},
  year={2025},
  doi={10.1145/3711896.3737030}
}

@inproceedings{guo2025mtsa,
  title={MTSA: Multi-turn Safety Alignment for LLMs through Multi-round Red-teaming},
  author={Guo, Weiyang and Li, Jing and Wang, Wenya and Li, Yu and He, Daojing and Yu, Jun and Zhang, Min},
  booktitle={Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)},
  pages={26424--26442},
  year={2025}
}

@inproceedings{guo2024intfair,
  title={IntFair: Graph Neural Networks for Fair Recommendations with Interest Awareness},
  author={Guo, Weiyang and others},
  booktitle={Database Systems for Advanced Applications (DASFAA)},
  year={2024}
}