Zexuan Zhong

According to our database, Zexuan Zhong authored at least 24 papers between 2018 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Configurable Foundation Models: Building LLMs from a Modular Perspective.

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

CoRR, 2024

Certifiably Robust RAG against Retrieval Corruption.

Chong Xiang, Tong Wu, Zexuan Zhong, David A. Wagner, Danqi Chen, Prateek Mittal

CoRR, 2024

Lory: Fully Differentiable Mixture-of-Experts for Autoregressive Language Model Pre-training.

Zexuan Zhong, Mengzhou Xia, Danqi Chen, Mike Lewis

CoRR, 2024

Reliable, Adaptable, and Attributable Language Models with Retrieval.

Akari Asai, Zexuan Zhong, Danqi Chen, Pang Wei Koh, Luke Zettlemoyer, Hannaneh Hajishirzi, Wen-tau Yih

CoRR, 2024

REST: Retrieval-Based Speculative Decoding.

Zhenyu He, Zexuan Zhong, Tianle Cai, Jason D. Lee, Di He

Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers), 2024

2023

kNN-Adapter: Efficient Domain Adaptation for Black-Box Language Models.

Yangsibo Huang, Daogao Liu, Zexuan Zhong, Weijia Shi, Yin Tat Lee

CoRR, 2023

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

Zexuan Zhong, Zhengxuan Wu, Christopher D. Manning, Christopher Potts, Danqi Chen

Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

Poisoning Retrieval Corpora by Injecting Adversarial Passages.

Zexuan Zhong, Ziqing Huang, Alexander Wettig, Danqi Chen

Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

Privacy Implications of Retrieval-Based Language Models.

Yangsibo Huang, Samyak Gupta, Zexuan Zhong, Kai Li, Danqi Chen

Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

Should You Mask 15% in Masked Language Modeling?

Alexander Wettig, Tianyu Gao, Zexuan Zhong, Danqi Chen

Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics, 2023

Retrieval-based Language Models and Applications.

Akari Asai, Sewon Min, Zexuan Zhong, Danqi Chen

Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics: Tutorial Abstracts, 2023

2022

Recovering Private Text in Federated Learning of Language Models.

Samyak Gupta, Yangsibo Huang, Zexuan Zhong, Tianyu Gao, Kai Li, Danqi Chen

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Training Language Models with Memory Augmentation.

Zexuan Zhong, Tao Lei, Danqi Chen

Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

Structured Pruning Learns Compact and Accurate Models.

Mengzhou Xia, Zexuan Zhong, Danqi Chen

Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2022

2021

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

Zexuan Zhong, Dan Friedman, Danqi Chen

Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2021

A Frustratingly Easy Approach for Entity and Relation Extraction.

Zexuan Zhong, Danqi Chen

Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2021

Simple Entity-Centric Questions Challenge Dense Retrievers.

Christopher Sciavolino, Zexuan Zhong, Jinhyuk Lee, Danqi Chen

Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

2020

A Frustratingly Easy Approach for Joint Entity and Relation Extraction.

Zexuan Zhong, Danqi Chen

CoRR, 2020

2019

Robustra: Training Provable Robust Neural Networks over Reference Adversarial Space.

Linyi Li, Zexuan Zhong, Bo Li, Tao Xie

Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

2018

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

Siwakorn Srisakaokul, Zexuan Zhong, Yuhao Zhang, Wei Yang, Tao Xie

CoRR, 2018

Learning Food Quality and Safety from Wireless Stickers.

Unsoo Ha, Yunfei Ma, Zexuan Zhong, Tzu-Ming Hsu, Fadel Adib

Proceedings of the 17th ACM Workshop on Hot Topics in Networks, 2018

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

Zexuan Zhong, Jiaqi Guo, Wei Yang, Jian Peng, Tao Xie, Jian-Guang Lou, Ting Liu, Dongmei Zhang

Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, Brussels, Belgium, October 31, 2018

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

Zexuan Zhong, Jiaqi Guo, Wei Yang, Tao Xie, Jian-Guang Lou, Ting Liu, Dongmei Zhang

Proceedings of the Workshops of the The Thirty-Second AAAI Conference on Artificial Intelligence, 2018

CoLink: An Unsupervised Framework for User Identity Linkage.

Zexuan Zhong, Yong Cao, Mu Guo, Zaiqing Nie

Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018