Yihong Chen : Publications

Journal papers

• [1]

  Jet Expansions of Residual Computation

  Yihong Chen‚ Xiangxiang Xu‚ Yao Lu‚ Pontus Stenetorp and Luca Franceschi

  In arXiv preprint arXiv:2410.06024. 2024.

  Details about Jet Expansions of Residual Computation | BibTeX data for Jet Expansions of Residual Computation

• [2]

  Pistol: Dataset Compilation Pipeline for Benchmarking Structural Unlearning of Large Language Models

  Xinchi Qiu‚ William F Shen‚ Yihong Chen‚ Nicola Cancedda‚ Pontus Stenetorp and Nicholas D Lane

  In arXiv preprint arXiv:2406.16810. 2024.

  Details about Pistol: Dataset Compilation Pipeline for Benchmarking Structural Unlearning of Large Language Models | BibTeX data for Pistol: Dataset Compilation Pipeline for Benchmarking Structural Unlearning of Large Language Models

Conference papers

• [1]

  Multilingual Language Model Pretraining Using Machine−translated Data

  Jiayi Wang‚ Yao Lu‚ Maurice Weber‚ Max Ryabinin‚ David Adelani‚ Yihong Chen‚ Raphael Tang and Pontus Stenetorp

  In EMNLP 2025‚ The 2025 Conference on Empirical Methods in Natural Language Processing. 2025.

  Details about Multilingual Language Model Pretraining Using Machine−translated Data | BibTeX data for Multilingual Language Model Pretraining Using Machine−translated Data

• [2]

  Lunar: Llm unlearning via neural activation redirection

  William F Shen‚ Xinchi Qiu‚ Meghdad Kurmanji‚ Alex Iacob‚ Lorenzo Sani‚ Yihong Chen‚ Nicola Cancedda and Nicholas D Lane

  In NeurIPS 2025‚ Thirty−ninth Conference on Neural Information Processing Systems. 2025.

  Details about Lunar: Llm unlearning via neural activation redirection | BibTeX data for Lunar: Llm unlearning via neural activation redirection

• [3]

  AsEP: Benchmarking Deep Learning Methods for Antibody−specific Epitope Prediction

  Chunan Liu‚ Lilian Denzler‚ Yihong Chen‚ Andrew Martin and Brooks Paige

  In NeurIPS 2024‚ Thirty−eighth Conference on Neural Information Processing Systems‚ Datasets and Benchmarks. 2024.

  Details about AsEP: Benchmarking Deep Learning Methods for Antibody−specific Epitope Prediction | BibTeX data for AsEP: Benchmarking Deep Learning Methods for Antibody−specific Epitope Prediction

• [4]

  Breaking Physical and Linguistic Borders: Multilingual Federated Prompt Tuning for Low−Resource Languages

  Wanru Zhao‚ Royson Lee‚ Yihong Chen‚ Xinchi Qiu‚ Yan Gao‚ Hongxiang Fan and Nicholas Donald Lane

  In ICLR 2024‚ International Conference on Learning Representations.. 2023.

  Details about Breaking Physical and Linguistic Borders: Multilingual Federated Prompt Tuning for Low−Resource Languages | BibTeX data for Breaking Physical and Linguistic Borders: Multilingual Federated Prompt Tuning for Low−Resource Languages

• [5]

  Improving Language Plasticity via Pretraining with Active Forgetting

  Yihong Chen‚ Kelly Marchisio‚ Roberta Raileanu‚ David Ifeoluwa Adelani‚ Pontus Stenetorp‚ Sebastian Riedel and Mikel Artetxe

  In NeurIPS 2023‚ Thirty−seventh Conference on Neural Information Processing Systems. 2023.

  Details about Improving Language Plasticity via Pretraining with Active Forgetting | BibTeX data for Improving Language Plasticity via Pretraining with Active Forgetting

• [6]

  Mini−Model Adaptation: Efficiently Extending Pretrained Models to New Languages via Aligned Shallow Training

  Kelly Marchisio‚ Patrick Lewis‚ Yihong Chen and Mikel Artetxe

  In ACL 2023‚ Findings of the Association for Computational Linguistics. 2022.

  Details about Mini−Model Adaptation: Efficiently Extending Pretrained Models to New Languages via Aligned Shallow Training | BibTeX data for Mini−Model Adaptation: Efficiently Extending Pretrained Models to New Languages via Aligned Shallow Training

• [7]

  ReFactor GNNs: Revisiting Factorisation−based Models from a Message−Passing Perspective

  Yihong Chen‚ Pushkar Mishra‚ Luca Franceschi‚ Pasquale Minervini‚ Pontus Stenetorp and Sebastian Riedel

  In NeurIPS 2022‚ Thirty−sixth Conference on Neural Information Processing Systems. 2022.

  Details about ReFactor GNNs: Revisiting Factorisation−based Models from a Message−Passing Perspective | BibTeX data for ReFactor GNNs: Revisiting Factorisation−based Models from a Message−Passing Perspective

• [8]

  Relation Prediction as an Auxiliary Training Objective for Improving Multi−Relational Graph Representations

  Yihong Chen‚ Pasquale Minervini‚ Sebastian Riedel and Pontus Stenetorp

  In AKBC 2021‚ Third Conference on Automated Knowledge Base Construction. 2021.

  Details about Relation Prediction as an Auxiliary Training Objective for Improving Multi−Relational Graph Representations | BibTeX data for Relation Prediction as an Auxiliary Training Objective for Improving Multi−Relational Graph Representations

• [9]

  Learnable Embedding Sizes for Recommender Systems

  Siyi Liu‚ Chen Gao‚ Yihong Chen‚ Depeng Jin and Yong Li

  In ICLR 2021‚ International Conference on Learning Representations.. 2021.

  Details about Learnable Embedding Sizes for Recommender Systems | BibTeX data for Learnable Embedding Sizes for Recommender Systems

• [10]

  You Impress Me: Dialogue Generation Via Mutual Persona Perception

  Qian Liu‚ Yihong Chen‚ Bei Chen‚ Jian−Guang Lou‚ Zixuan Chen‚ Bin Zhou and Dongmei Zhang

  In ACL 2020‚ Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics. 2020.

  Details about You Impress Me: Dialogue Generation Via Mutual Persona Perception | BibTeX data for You Impress Me: Dialogue Generation Via Mutual Persona Perception

• [11]

  λopt: Learn to Regularize Recommender Models in Finer Levels

  Yihong Chen‚ Bei Chen‚ Xiangnan He‚ Chen Gao‚ Yong Li‚ Jian−Guang Lou and Yue Wang

  In KDD 2019 ( )‚ Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining. Pages 978–986. 2019.

  Details about λopt: Learn to Regularize Recommender Models in Finer Levels | BibTeX data for λopt: Learn to Regularize Recommender Models in Finer Levels

• [12]

  Learning−to−ask: Knowledge Acquisition via 20 Questions

  Yihong Chen‚ Bei Chen‚ Xuguang Duan‚ Jian−Guang Lou‚ Yue Wang‚ Wenwu Zhu and Yong Cao

  In KDD 2018‚ Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining. Pages 1216–1225. 2018.

  Details about Learning−to−ask: Knowledge Acquisition via 20 Questions | BibTeX data for Learning−to−ask: Knowledge Acquisition via 20 Questions

Theses

• [1]

  Structure and Destructure: Dual Forces in the Making of Knowledge Engines

  Yihong Chen

  PhD Thesis University College London. 2025.

  Details about Structure and Destructure: Dual Forces in the Making of Knowledge Engines | BibTeX data for Structure and Destructure: Dual Forces in the Making of Knowledge Engines | Link to Structure and Destructure: Dual Forces in the Making of Knowledge Engines