Yihong Chen : Publications
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@inproceedings{wang2025multilingual,
title = "Multilingual Language Model Pretraining Using Machine-translated Data",
author = "Wang, Jiayi and Lu, Yao and Weber, Maurice and Ryabinin, Max and Adelani, David and Chen, Yihong and Tang, Raphael and Stenetorp, Pontus",
year = "2025",
booktitle = "EMNLP 2025, The 2025 Conference on Empirical Methods in Natural Language Processing",
}
@inproceedings{shen2025lunar,
title = "Lunar: Llm unlearning via neural activation redirection",
author = "Shen, William F and Qiu, Xinchi and Kurmanji, Meghdad and Iacob, Alex and Sani, Lorenzo and Chen, Yihong and Cancedda, Nicola and Lane, Nicholas D",
year = "2025",
booktitle = "NeurIPS 2025, Thirty-ninth Conference on Neural Information Processing Systems",
}
@phdthesis{chen2025structure,
title = "Structure and Destructure: Dual Forces in the Making of Knowledge Engines",
author = "Chen, Yihong",
year = "2025",
school = "University College London",
url = "https://discovery.ucl.ac.uk/id/eprint/10211291/",
}
@article{chen2024jet,
title = "Jet Expansions of Residual Computation",
author = "Chen, Yihong and Xu, Xiangxiang and Lu, Yao and Stenetorp, Pontus and Franceschi, Luca",
year = "2024",
journal = "arXiv preprint arXiv:2410.06024",
}
@article{qiu2024pistol,
title = "Pistol: Dataset Compilation Pipeline for Benchmarking Structural Unlearning of Large Language Models",
author = "Qiu, Xinchi and Shen, William F and Chen, Yihong and Cancedda, Nicola and Stenetorp, Pontus and Lane, Nicholas D",
year = "2024",
journal = "arXiv preprint arXiv:2406.16810",
}
@inproceedings{liu2024asep,
title = "AsEP: Benchmarking Deep Learning Methods for Antibody-specific Epitope Prediction",
author = "Liu, Chunan and Denzler, Lilian and Chen, Yihong and Martin, Andrew and Paige, Brooks",
year = "2024",
booktitle = "NeurIPS 2024, Thirty-eighth Conference on Neural Information Processing Systems, Datasets and Benchmarks",
}
@inproceedings{zhao2023breaking,
title = "Breaking Physical and Linguistic Borders: Multilingual Federated Prompt Tuning for Low-Resource Languages",
author = "Zhao, Wanru and Lee, Royson and Chen, Yihong and Qiu, Xinchi and Gao, Yan and Fan, Hongxiang and Lane, Nicholas Donald",
year = "2023",
booktitle = "ICLR 2024, International Conference on Learning Representations.",
}
@inproceedings{chen2023improving,
title = "Improving Language Plasticity via Pretraining with Active Forgetting",
author = "Chen, Yihong and Marchisio, Kelly and Raileanu, Roberta and Adelani, David Ifeoluwa and Stenetorp, Pontus and Riedel, Sebastian and Artetxe, Mikel",
year = "2023",
booktitle = "NeurIPS 2023, Thirty-seventh Conference on Neural Information Processing Systems",
}
@inproceedings{marchisio2022mini,
title = "Mini-Model Adaptation: Efficiently Extending Pretrained Models to New Languages via Aligned Shallow Training",
author = "Marchisio, Kelly and Lewis, Patrick and Chen, Yihong and Artetxe, Mikel",
year = "2022",
booktitle = "ACL 2023, Findings of the Association for Computational Linguistics",
}
@inproceedings{chen2022refactor,
title = "ReFactor GNNs: Revisiting Factorisation-based Models from a Message-Passing Perspective",
author = "Chen, Yihong and Mishra, Pushkar and Franceschi, Luca and Minervini, Pasquale and Stenetorp, Pontus and Riedel, Sebastian",
year = "2022",
booktitle = "NeurIPS 2022, Thirty-sixth Conference on Neural Information Processing Systems",
}
@inproceedings{chen2021relation,
title = "Relation Prediction as an Auxiliary Training Objective for Improving Multi-Relational Graph Representations",
author = "Chen, Yihong and Minervini, Pasquale and Riedel, Sebastian and Stenetorp, Pontus",
year = "2021",
booktitle = "AKBC 2021, Third Conference on Automated Knowledge Base Construction",
}
@inproceedings{liu2021learnable,
title = "Learnable Embedding Sizes for Recommender Systems",
author = "Liu, Siyi and Gao, Chen and Chen, Yihong and Jin, Depeng and Li, Yong",
year = "2021",
booktitle = "ICLR 2021, International Conference on Learning Representations.",
}
@inproceedings{liu2020you,
title = "You Impress Me: Dialogue Generation Via Mutual Persona Perception",
author = "Liu, Qian and Chen, Yihong and Chen, Bei and Lou, Jian-Guang and Chen, Zixuan and Zhou, Bin and Zhang, Dongmei",
year = "2020",
booktitle = "ACL 2020, Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics",
}
@inproceedings{chen2019lambdaopt,
title = "$\lambda$opt: Learn to Regularize Recommender Models in Finer Levels",
author = "Chen, Yihong and Chen, Bei and He, Xiangnan and Gao, Chen and Li, Yong and Lou, Jian-Guang and Wang, Yue",
year = "2019",
booktitle = "KDD 2019 ( ), Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery \& Data Mining",
pages = "978--986",
}
@inproceedings{chen2018learning,
title = "Learning-to-ask: Knowledge Acquisition via 20 Questions",
author = "Chen, Yihong and Chen, Bei and Duan, Xuguang and Lou, Jian-Guang and Wang, Yue and Zhu, Wenwu and Cao, Yong",
year = "2018",
booktitle = "KDD 2018, Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery \& Data Mining",
pages = "1216--1225",
}