publications

2025

1. Trustworthy

   

   Understanding Machine Unlearning Through the Lens of Mode Connectivity

   Jiali Cheng, and Hadi Amiri

   In arXiv , 2025

   Bib

   @inproceedings{cheng2025understanding,
     title = {Understanding Machine Unlearning Through the Lens of Mode Connectivity},
     author = {Cheng, Jiali and Amiri, Hadi},
     year = {2025},
     booktitle = {arXiv},
     url = {https://arxiv.org/abs/2504.06407}
   }

2. Trustworthy

   

   FROG: Fair Removal on Graphs

   Ziheng Chen, Jiali Cheng, Gabriele Tolomei, Sijia Liu, Hadi Amiri, Yu Wang, Kaushiki Nag, and Lu Lin

   In ICML , 2025

   Bib

   @inproceedings{cheng2025tool,
     title = {FROG: Fair Removal on Graphs},
     author = {Chen, Ziheng and Cheng, Jiali and Tolomei, Gabriele and Liu, Sijia and Amiri, Hadi and Wang, Yu and Nag, Kaushiki and Lin, Lu},
     year = {2025},
     booktitle = {ICML},
     url = {https://arxiv.org/abs/2503.18197}
   }

3. Trustworthy

   

   Tool Unlearning for Tool-Augmented LLMs

   Jiali Cheng, and Hadi Amiri

   In ICML , 2025

   Bib

   @inproceedings{cheng2025toom,
     title = {Tool Unlearning for Tool-Augmented LLMs},
     author = {Cheng, Jiali and Amiri, Hadi},
     year = {2025},
     booktitle = {ICML},
     url = {https://arxiv.org/abs/2502.01083}
   }

4. Trustworthy

   EqualizeIR: Mitigating Linguistic Biases in Retrieval Models

   Jiali Cheng, and Hadi Amiri

   In NAACL (Short) , 2025
5. Linguistic Blind Spots of Large Language Models

   Jiali Cheng, and Hadi Amiri

   In NAACL CMCL Workshop , 2025

2024

1. Trustworthy

   

   FairFlow: Mitigating Dataset Biases through Undecided Learning for Natural Language Understanding

   Jiali Cheng, and Hadi Amiri

   In EMNLP , 2024

   Bib

   @inproceedings{cheng-amiri-2024-fairflow,
     title = {FairFlow: Mitigating Dataset Biases through Undecided Learning for Natural Language Understanding},
     author = {Cheng, Jiali and Amiri, Hadi},
     year = {2024},
     booktitle = {EMNLP},
     url = {https://aclanthology.org/2024.emnlp-main.1225}
   }

2. Trustworthy

   

   MU-Bench: A multitask multimodal benchmark for machine unlearning

   Jiali Cheng, and Hadi Amiri

   In NeurIPS SafeGenAI Workshop , 2024

   arXiv Bib

   @inproceedings{cheng2024mu,
     title = {MU-Bench: A multitask multimodal benchmark for machine unlearning},
     author = {Cheng, Jiali and Amiri, Hadi},
     booktitle = {NeurIPS},
     year = {2024},
     url = {https://arxiv.org/abs/2406.14796}
   }

3. Trustworthy

   

   MultiDelete for Multimodal Machine Unlearning

   Jiali Cheng, and Hadi Amiri

   In ECCV , 2024

   arXiv Bib

   @inproceedings{cheng2024multidelete,
     title = {MultiDelete for Multimodal Machine Unlearning},
     author = {Cheng, Jiali and Amiri, Hadi},
     booktitle = {ECCV},
     year = {2024},
     url = {https://arxiv.org/abs/2311.12047}
   }

4. AI4Science AI4Science123

   MedDec: A Dataset for Extracting Medical Decisions from Discharge Summaries

   Mohamed Elgaar, Jiali Cheng, Nidhi Vakil, Hadi Amiri, and Leo Anthony Celi

   In ACL Findings , 2024

2023

1. Evaluation

   

   Exploring the Impact of Model Scaling on Parameter-Efficient Tuning

   Yusheng Su, Chi-Min Chan, Jiali Cheng, Yujia Qin, Yankai Lin, Shengding Hu, Zonghan Yang, Ning Ding , and 4 more authors

   In EMNLP , 2023

   arXiv Bib

   @inproceedings{su-etal-2023-exploring,
     title = {Exploring the Impact of Model Scaling on Parameter-Efficient Tuning},
     author = {Su, Yusheng and Chan, Chi-Min and Cheng, Jiali and Qin, Yujia and Lin, Yankai and Hu, Shengding and Yang, Zonghan and Ding, Ning and Sun, Xingzhi and Xie, Guotong and Liu, Zhiyuan and Sun, Maosong},
     year = {2023},
     booktitle = {EMNLP},
     url = {https://aclanthology.org/2023.emnlp-main.931/}
   }

2. Trustworthy

   

   GNNDelete: A General Strategy for Unlearning in Graph Neural Networks

   Jiali Cheng, George Dasoulas, Huan He, Chirag Agarwal, and Marinka Zitnik

   In ICLR , 2023

   arXiv Bib

   @inproceedings{cheng2023gnndelete,
     title = {{GNND}elete: A General Strategy for Unlearning in Graph Neural Networks},
     author = {Cheng, Jiali and Dasoulas, George and He, Huan and Agarwal, Chirag and Zitnik, Marinka},
     booktitle = {ICLR},
     year = {2023},
     url = {https://arxiv.org/abs/2302.13406}
   }