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Tong Chen I am a Ph.D. student in Computer Science at the University of Washington advised by Luke Zettlemoyer and Hannaneh Hajishirzi. My research focuses on Natural Language Processing and Machine Learning, specifically how language models can effectively integrate and utilize external information. |
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📜 Selected PublicationsPlease see my Google Scholar for the full list. (*: equal contribution) |
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ParaPO: Aligning Language Models to Reduce Verbatim Reproduction of Pre-training Data
Tong Chen, Faeze Brahman, Jiacheng Liu, Niloofar Mireshghallah, Weijia Shi, Pang Wei Koh, Luke Zettlemoyer, Hannaneh Hajishirzi COLM, 2025 [paper] / [code] |
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Generative Adapter: Contextualizing Language Models in Parameters with A Single Forward Pass
Tong Chen, Hao Fang, Patrick Xia, Xiaodong Liu, Benjamin Van Durme, Luke Zettlemoyer, Jianfeng Gao, Hao Cheng ICLR, 2025 Contributed Talk at NeurIPS 2024 Workshop on Adaptive Foundation Models [paper] / [code] |
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CopyBench: Measuring Literal and Non-literal Reproduction of Copyright-protected Text in Language Model Generation
Tong Chen, Akari Asai*, Niloofar Mireshghallah*, Sewon Min, James Grimmelmann, Yejin Choi, Hannaneh Hajishirzi, Luke Zettlemoyer, Pang Wei Koh EMNLP, 2024 Contributed Talk at NeurIPS 2024 Workshop on Regulatable ML [paper] / [code] |
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Dense X Retrieval: What Retrieval Granularity Should We Use?
Tong Chen, Hongwei Wang, Sihao Chen, Wenhao Yu, Kaixin Ma, Xinran Zhao, Hongming Zhang, Dong Yu EMNLP, 2024 Officially integrated into LangChain and LlamaIndex [paper] / [code] |
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MixGR: Enhancing Retriever Generalization for Scientific Domain through Complementary Granularity
Fengyu Cai, Xinran Zhao, Tong Chen, Sihao Chen, Hongming Zhang, Iryna Gurevych, Heinz Koeppl EMNLP, 2024 [paper] |
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Beyond Relevance: Evaluate and Improve Retrievers on Perspective Awareness
Xinran Zhao, Tong Chen, Sihao Chen, Hongming Zhang, Tongshuang Wu COLM, 2024 [paper] |
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Sub-Sentence Encoder: Contrastive Learning of Propositional Semantic Representations
Sihao Chen, Hongming Zhang, Tong Chen, Ben Zhou, Wenhao Yu, Dian Yu, Baolin Peng, Hongwei Wang, Dan Roth, Dong Yu NAACL, 2024 [paper] |
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Poisoning Medical Knowledge Using Large Language Models
Junwei Yang, Hanwen Xu, Srbuhi Mirzoyan, Tong Chen, Zixuan Liu, Zequn Liu, Wei Ju, Luchen Liu, Zhiping Xiao, Ming Zhang, Sheng Wang Nature Machine Intelligence, 2024, volume 6, pages 1156–1168 [paper] |