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Conference and Workshop Papers
- 2024
[c17]Zhenyu He, Zexuan Zhong, Tianle Cai, Jason D. Lee, Di He:
REST: Retrieval-Based Speculative Decoding. NAACL-HLT 2024: 1582-1595- 2023
- [c16]Akari Asai, Sewon Min, Zexuan Zhong, Danqi Chen:
Retrieval-based Language Models and Applications. ACL (tutorial) 2023: 41-46 - [c15]Alexander Wettig, Tianyu Gao, Zexuan Zhong, Danqi Chen:
Should You Mask 15% in Masked Language Modeling? EACL 2023: 2977-2992 - [c14]Zexuan Zhong, Ziqing Huang, Alexander Wettig, Danqi Chen:
Poisoning Retrieval Corpora by Injecting Adversarial Passages. EMNLP 2023: 13764-13775 - [c13]Yangsibo Huang, Samyak Gupta, Zexuan Zhong, Kai Li, Danqi Chen:
Privacy Implications of Retrieval-Based Language Models. EMNLP 2023: 14887-14902 - [c12]Zexuan Zhong, Zhengxuan Wu, Christopher D. Manning, Christopher Potts, Danqi Chen:
MQuAKE: Assessing Knowledge Editing in Language Models via Multi-Hop Questions. EMNLP 2023: 15686-15702 - 2022
- [c11]Mengzhou Xia, Zexuan Zhong, Danqi Chen:
Structured Pruning Learns Compact and Accurate Models. ACL (1) 2022: 1513-1528 - [c10]Zexuan Zhong, Tao Lei, Danqi Chen:
Training Language Models with Memory Augmentation. EMNLP 2022: 5657-5673 - [c9]Samyak Gupta, Yangsibo Huang, Zexuan Zhong, Tianyu Gao, Kai Li, Danqi Chen:
Recovering Private Text in Federated Learning of Language Models. NeurIPS 2022 - 2021
- [c8]Christopher Sciavolino, Zexuan Zhong, Jinhyuk Lee, Danqi Chen:
Simple Entity-Centric Questions Challenge Dense Retrievers. EMNLP (1) 2021: 6138-6148 - [c7]Zexuan Zhong, Danqi Chen:
A Frustratingly Easy Approach for Entity and Relation Extraction. NAACL-HLT 2021: 50-61 - [c6]Zexuan Zhong, Dan Friedman, Danqi Chen:
Factual Probing Is [MASK]: Learning vs. Learning to Recall. NAACL-HLT 2021: 5017-5033 - 2019
- [c5]Linyi Li, Zexuan Zhong, Bo Li, Tao Xie:
Robustra: Training Provable Robust Neural Networks over Reference Adversarial Space. IJCAI 2019: 4711-4717 - 2018
- [c4]Zexuan Zhong, Jiaqi Guo, Wei Yang, Tao Xie, Jian-Guang Lou, Ting Liu, Dongmei Zhang:
Generating Regular Expressions from Natural Language Specifications: Are We There Yet? AAAI Workshops 2018: 791-794 - [c3]Zexuan Zhong, Yong Cao, Mu Guo, Zaiqing Nie:
CoLink: An Unsupervised Framework for User Identity Linkage. AAAI 2018: 5714-5721 - [c2]Zexuan Zhong, Jiaqi Guo, Wei Yang, Jian Peng, Tao Xie, Jian-Guang Lou, Ting Liu, Dongmei Zhang:
SemRegex: A Semantics-Based Approach for Generating Regular Expressions from Natural Language Specifications. EMNLP 2018: 1608-1618 - [c1]Unsoo Ha, Yunfei Ma, Zexuan Zhong, Tzu-Ming Hsu, Fadel Adib:
Learning Food Quality and Safety from Wireless Stickers. HotNets 2018: 106-112
Informal and Other Publications
- 2024
- [i17]Akari Asai, Zexuan Zhong, Danqi Chen, Pang Wei Koh, Luke Zettlemoyer, Hannaneh Hajishirzi, Wen-tau Yih:
Reliable, Adaptable, and Attributable Language Models with Retrieval. CoRR abs/2403.03187 (2024) - [i16]Zexuan Zhong, Mengzhou Xia, Danqi Chen, Mike Lewis:
Lory: Fully Differentiable Mixture-of-Experts for Autoregressive Language Model Pre-training. CoRR abs/2405.03133 (2024) - [i15]Chong Xiang
, Tong Wu, Zexuan Zhong, David A. Wagner, Danqi Chen, Prateek Mittal:
Certifiably Robust RAG against Retrieval Corruption. CoRR abs/2405.15556 (2024) - [i14]Chaojun Xiao, Zhengyan Zhang, Chenyang Song, Dazhi Jiang, Feng Yao, Xu Han, Xiaozhi Wang, Shuo Wang, Yufei Huang, Guanyu Lin, Yingfa Chen, Weilin Zhao, Yuge Tu, Zexuan Zhong, Ao Zhang, Chenglei Si, Moo Khai Hao, Chenyang Zhao, Huimin Chen, Yankai Lin, Zhiyuan Liu, Jingbo Shang, Maosong Sun:
Configurable Foundation Models: Building LLMs from a Modular Perspective. CoRR abs/2409.02877 (2024) - 2023
- [i13]Yangsibo Huang, Daogao Liu, Zexuan Zhong, Weijia Shi, Yin Tat Lee:
kNN-Adapter: Efficient Domain Adaptation for Black-Box Language Models. CoRR abs/2302.10879 (2023) - [i12]Zexuan Zhong, Zhengxuan Wu, Christopher D. Manning, Christopher Potts, Danqi Chen:
MQuAKE: Assessing Knowledge Editing in Language Models via Multi-Hop Questions. CoRR abs/2305.14795 (2023) - [i11]Yangsibo Huang, Samyak Gupta, Zexuan Zhong, Kai Li, Danqi Chen:
Privacy Implications of Retrieval-Based Language Models. CoRR abs/2305.14888 (2023) - [i10]Zexuan Zhong, Ziqing Huang, Alexander Wettig, Danqi Chen:
Poisoning Retrieval Corpora by Injecting Adversarial Passages. CoRR abs/2310.19156 (2023) - [i9]Zhenyu He, Zexuan Zhong, Tianle Cai, Jason D. Lee, Di He:
REST: Retrieval-Based Speculative Decoding. CoRR abs/2311.08252 (2023) - 2022
- [i8]Alexander Wettig, Tianyu Gao, Zexuan Zhong, Danqi Chen:
Should You Mask 15% in Masked Language Modeling? CoRR abs/2202.08005 (2022) - [i7]Mengzhou Xia, Zexuan Zhong, Danqi Chen:
Structured Pruning Learns Compact and Accurate Models. CoRR abs/2204.00408 (2022) - [i6]Samyak Gupta, Yangsibo Huang, Zexuan Zhong, Tianyu Gao, Kai Li, Danqi Chen:
Recovering Private Text in Federated Learning of Language Models. CoRR abs/2205.08514 (2022) - [i5]Zexuan Zhong, Tao Lei, Danqi Chen:
Training Language Models with Memory Augmentation. CoRR abs/2205.12674 (2022) - 2021
- [i4]Zexuan Zhong, Dan Friedman, Danqi Chen:
Factual Probing Is [MASK]: Learning vs. Learning to Recall. CoRR abs/2104.05240 (2021) - [i3]Christopher Sciavolino, Zexuan Zhong, Jinhyuk Lee, Danqi Chen:
Simple Entity-Centric Questions Challenge Dense Retrievers. CoRR abs/2109.08535 (2021) - 2020
- [i2]Zexuan Zhong, Danqi Chen:
A Frustratingly Easy Approach for Joint Entity and Relation Extraction. CoRR abs/2010.12812 (2020) - 2018
- [i1]Siwakorn Srisakaokul, Zexuan Zhong, Yuhao Zhang, Wei Yang, Tao Xie:
MULDEF: Multi-model-based Defense Against Adversarial Examples for Neural Networks. CoRR abs/1809.00065 (2018)
Coauthor Index
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