Shanshan Zhong

@inproceedings{huang2025minilongbench,
  title = {MiniLongBench: The Low-cost Long Context Understanding Benchmark for Large Language Models},
  author = {Huang, Zhongzhan and Ling, Guoming and Zhong, Shanshan and Wu, Hefeng and Lin, Liang},
  booktitle = {Proceedings of the 63nd Annual Meeting of the Association for Computational Linguistics (<strong>ACL</strong> <strong style="color:red;">Outstanding Paper</strong>)},
  year = {2025},
}

@inproceedings{zhao2025dvib,
  title = {DVIB: Towards Robust Multimodal Recommender Systems via Variational Information Bottleneck Distillation},
  author = {Zhao*, Wenkuan and Zhong*, Shanshan and Liu, Yifan and Wen, Wushao and Qin, Jinghui and Liang, Mingfu and Huang, Zhongzhan},
  booktitle = {Proceedings of the ACM on Web Conference 2025 (<strong>WWW</strong>)},
  pages = {2549--2561},
  year = {2025}
}

@article{huang2025causality,
  title = {A causality-aware paradigm for evaluating creativity of multimodal large language models},
  author = {Huang*, Zhongzhan and Zhong*, Shanshan and Zhou, Pan and Gao, Shanghua and Zitnik, Marinka and Lin, Liang},
  journal = {IEEE Transactions on Pattern Analysis and Machine Intelligence (<strong>TPAMI</strong>)},
  year = {2025},
  publisher = {IEEE}
}

@inproceedings{zhong2023asr,
  title = {Stripe Observation Guided Inference Cost-free Attention Mechanism},
  author = {Huang*, Zhongzhan and Zhong*, Shanshan and Wen, Wushao and Qin, Jinghui and Lin, Liang},
  booktitle = {The International Conference on Machine Learning (<strong>ECCV</strong>)},
  year = {2024}
}

@inproceedings{zhong2023let,
  title = {Let's Think Outside the Box: Exploring Leap-of-Thought in Large Language Models with Creative Humor Generation},
  author = {Zhong, Shanshan and Huang, Zhongzhan and Gao, Shanghua and Wen, Wushao and Lin, Liang and Zitnik, Marinka and Zhou, Pan},
  booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (<strong>CVPR</strong>)},
  year = {2024}
}

@inproceedings{zhong2024mirror,
  title = {Mirror Gradient: Towards Robust Multimodal Recommender Systems via Exploring Flat Local Minima},
  author = {Zhong, Shanshan and Huang, Zhongzhan and Li, Daifeng and Wen, Weushao and Qin, Jinghui and Lin, Liang},
  booktitle = {Proceedings of the ACM Web Conference 2024 (<strong>WWW</strong>)},
  year = {2024}
}

@inproceedings{zhong2023adapter,
  title = {SUR-adapter: Enhancing text-to-image pre-trained diffusion models with large language models},
  author = {Zhong, Shanshan and Huang, Zhongzhan and Wen, Wushao and Qin, Jinghui and Lin, Liang},
  booktitle = {31th ACM International Conference on Multimedia (<strong>ACM MM </strong> <strong style="color:red;">Oral</strong>)},
  year = {2023},
  organization = {ACM Press}
}

@inproceedings{zhong2022cem,
  title = {CEM: Machine-Human Chatting Handoff via Causal-Enhance Module},
  author = {Zhong, Shanshan and Qin, Jinghui and Huang, Zhongzhan and Li, Daifeng},
  booktitle = {Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing (<strong>EMNLP</strong>)},
  pages = {3242--3253},
  year = {2022}
}