Author

Zexuan Zhong

Observed name: Zhong, Zexuan

Observed institutions: University of Illinois Urbana-Champaign, Princeton University, MIT Media Lab, Massachusetts Institute of Technology, Stanford University, Tsinghua University

OpenAlex ID: A5034055494

A Frustratingly Easy Approach for Entity and Relation Extraction

2021 · Zexuan Zhong, Danqi Chen · Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (NAACL-HLT) · 530

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Factual Probing Is [MASK]: Learning vs. Learning to Recall

2021 · Zexuan Zhong, Dan Friedman, et al. · Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (NAACL-HLT) · 273

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Should You Mask 15% in Masked Language Modeling?

2023 · Alexander Wettig, Tianyu Gao, et al. · Conference of the European Chapter of the Association for Computational Linguistics · 145

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Structured Pruning Learns Compact and Accurate Models

2022 · Mengzhou Xia, Zexuan Zhong, et al. · Annual Meeting of the Association for Computational Linguistics (ACL) · 136

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Simple Entity-Centric Questions Challenge Dense Retrievers

2021 · Christopher Sciavolino, Zexuan Zhong, et al. · Conference on Empirical Methods in Natural Language Processing (EMNLP) · 84

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Retrieval-based Language Models and Applications

2023 · Akari Asai, Sewon Min, et al. · Annual Meeting of the Association for Computational Linguistics (ACL) · 81

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Learning Food Quality and Safety from Wireless Stickers

2018 · Unsoo Ha, Yunfei Ma, et al. · ACM Workshop on Hot Topics in Networks (HotNets) · 81

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CoLink: An Unsupervised Framework for User Identity Linkage

2018 · Zexuan Zhong, Yong Cao, et al. · Proceedings of the AAAI Conference on Artificial Intelligence · 68

Training Language Models with Memory Augmentation

2022 · Zexuan Zhong, Tao Lei, et al. · Conference on Empirical Methods in Natural Language Processing (EMNLP) · 60

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MQuAKE: Assessing Knowledge Editing in Language Models via Multi-Hop Questions

2023 · Zexuan Zhong, Zhengxuan Wu, et al. · Conference on Empirical Methods in Natural Language Processing (EMNLP) · 55

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Poisoning Retrieval Corpora by Injecting Adversarial Passages

2023 · Zexuan Zhong, Ziqing Huang, et al. · Conference on Empirical Methods in Natural Language Processing (EMNLP) · 47

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Recovering Private Text in Federated Learning of Language Models

2022 · Samyak Gupta, Yangsibo Huang, et al. · neural information processing systems · 39

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REST: Retrieval-Based Speculative Decoding

2024 · Zhenyu He, Zexuan Zhong, et al. · Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (NAACL-HLT) · 34

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SemRegex: A Semantics-Based Approach for Generating Regular Expressions from Natural Language Specifications

2018 · Zexuan Zhong, Jiaqi Guo, et al. · Conference on Empirical Methods in Natural Language Processing (EMNLP) · 27

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Privacy Implications of Retrieval-Based Language Models

2023 · Yangsibo Huang, Samyak Gupta, et al. · Conference on Empirical Methods in Natural Language Processing (EMNLP) · 21

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Generating Regular Expressions from Natural Language Specifications: Are We There Yet?

2018 · Zexuan Zhong, Jiaqi Guo, et al. · National Conference on Artificial Intelligence · 19

MULDEF: Multi-model-based Defense Against Adversarial Examples for Neural Networks

2018 · Srisakaokul, Siwakorn, Zhang, Yuhao, et al. · arXiv (Cornell University) · 15

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