CoLink: An Unsupervised Framework for User Identity Linkage. - Zexuan Zhong; Yong Cao; Mu Guo; Zaiqing Nie (AAAI, 2018)

Generating Regular Expressions from Natural Language Specifications: Are We There Yet? - Zexuan Zhong; Jiaqi Guo; Wei Yang 013; Tao Xie 001; Jian-Guang Lou; Ting Liu 002; Dongmei Zhang 001 (AAAI Workshops, 2018)

SemRegex: A Semantics-Based Approach for Generating Regular Expressions from Natural Language Specifications. - Zexuan Zhong; Jiaqi Guo; Wei Yang 013; Jian Peng 001; Tao Xie 001; Jian-Guang Lou; Ting Liu 002; Dongmei Zhang 001 (EMNLP, 2018)

Learning Food Quality and Safety from Wireless Stickers. - Unsoo Ha; Yunfei Ma; Zexuan Zhong; Tzu-Ming Hsu; Fadel Adib (HotNets, 2018)

MULDEF: Multi-model-based Defense Against Adversarial Examples for Neural Networks. - Siwakorn Srisakaokul; Zexuan Zhong; Yuhao Zhang 005; Wei Yang 013; Tao Xie 001 (CoRR, 2018)

Robustra: Training Provable Robust Neural Networks over Reference Adversarial Space. - Linyi Li 001; Zexuan Zhong; Bo Li 026; Tao Xie 001 (IJCAI, 2019)

A Frustratingly Easy Approach for Joint Entity and Relation Extraction. - Zexuan Zhong; Danqi Chen 001 (CoRR, 2020)

Simple Entity-Centric Questions Challenge Dense Retrievers. - Christopher Sciavolino; Zexuan Zhong; Jinhyuk Lee; Danqi Chen 001 (EMNLP (1), 2021)

A Frustratingly Easy Approach for Entity and Relation Extraction. - Zexuan Zhong; Danqi Chen 001 (NAACL-HLT, 2021)

Factual Probing Is [MASK]: Learning vs. Learning to Recall. - Zexuan Zhong; Dan Friedman; Danqi Chen 001 (NAACL-HLT, 2021)

Structured Pruning Learns Compact and Accurate Models. - Mengzhou Xia; Zexuan Zhong; Danqi Chen 001 (ACL (1), 2022)

Training Language Models with Memory Augmentation. - Zexuan Zhong; Tao Lei; Danqi Chen 001 (EMNLP, 2022)

Recovering Private Text in Federated Learning of Language Models. - Samyak Gupta; Yangsibo Huang; Zexuan Zhong; Tianyu Gao 001; Kai Li 001; Danqi Chen 001 (NeurIPS, 2022)

Retrieval-based Language Models and Applications. - Akari Asai; Sewon Min; Zexuan Zhong; Danqi Chen 001 (ACL (tutorial), 2023)

Should You Mask 15% in Masked Language Modeling? - Alexander Wettig; Tianyu Gao 001; Zexuan Zhong; Danqi Chen 001 (EACL, 2023)

Privacy Implications of Retrieval-Based Language Models. - Yangsibo Huang; Samyak Gupta; Zexuan Zhong; Kai Li 001; Danqi Chen 001 (EMNLP, 2023)

Poisoning Retrieval Corpora by Injecting Adversarial Passages. - Zexuan Zhong; Ziqing Huang; Alexander Wettig; Danqi Chen 001 (EMNLP, 2023)

MQuAKE: Assessing Knowledge Editing in Language Models via Multi-Hop Questions. - Zexuan Zhong; Zhengxuan Wu; Christopher D. Manning; Christopher Potts; Danqi Chen 001 (EMNLP, 2023)

kNN-Adapter: Efficient Domain Adaptation for Black-Box Language Models. - Yangsibo Huang; Daogao Liu; Zexuan Zhong; Weijia Shi; Yin Tat Lee (CoRR, 2023)

REST: Retrieval-Based Speculative Decoding. - Zhenyu He 012; Zexuan Zhong; Tianle Cai; Jason D. Lee; Di He 001 (NAACL-HLT, 2024)

Reliable, Adaptable, and Attributable Language Models with Retrieval. - Akari Asai; Zexuan Zhong; Danqi Chen 001; Pang Wei Koh; Luke Zettlemoyer; Hannaneh Hajishirzi; Wen-tau Yih (CoRR, 2024)

Lory: Fully Differentiable Mixture-of-Experts for Autoregressive Language Model Pre-training. - Zexuan Zhong; Mengzhou Xia; Danqi Chen 001; Mike Lewis (CoRR, 2024)

Certifiably Robust RAG against Retrieval Corruption. - Chong Xiang 001; Tong Wu; Zexuan Zhong; David A. Wagner 001; Danqi Chen 001; Prateek Mittal (CoRR, 2024)

Configurable Foundation Models: Building LLMs from a Modular Perspective. - Chaojun Xiao; Zhengyan Zhang; Chenyang Song; Dazhi Jiang; Feng Yao; Xu Han 007; Xiaozhi Wang; Shuo Wang 013; Yufei Huang 008; Guanyu Lin; Yingfa Chen; Weilin Zhao; et al. (CoRR, 2024)