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Zexuan Zhong
Zexuan Zhong
Princeton University
Zweryfikowany adres z princeton.edu - Strona główna
Tytuł
Cytowane przez
Cytowane przez
Rok
A Frustratingly Easy Approach for Entity and Relation Extraction
Z Zhong, D Chen
NAACL 2021, 2021
5582021
Factual probing is [mask]: Learning vs. learning to recall
Z Zhong*, D Friedman*, D Chen
NAACL 2021, 2021
3952021
Structured Pruning Learns Compact and Accurate Models
M Xia, Z Zhong, D Chen
ACL 2022, 2022
2182022
Should you mask 15% in masked language modeling?
A Wettig*, T Gao*, Z Zhong, D Chen
EACL 2023, 2023
1622023
Simple entity-centric questions challenge dense retrievers
C Sciavolino*, Z Zhong*, J Lee, D Chen
EMNLP 2021, 2021
1482021
MQuAKE: Assessing Knowledge Editing in Language Models via Multi-Hop Questions
Z Zhong*, Z Wu*, CD Manning, C Potts, D Chen
EMNLP 2023, 2023
1382023
Training Language Models with Memory Augmentation
Z Zhong, T Lei, D Chen
EMNLP 2022, 2022
1242022
Retrieval-based language models and applications
A Asai, S Min, Z Zhong, D Chen
ACL 2023, 2023
108*2023
CoLink: An Unsupervised Framework for User Identity Linkage
Z Zhong, Y Cao, M Guo, Z Nie
AAAI 2018, 2018
882018
Learning food quality and safety from wireless stickers
U Ha, Y Ma, Z Zhong, TM Hsu, F Adib
HotNets 2018, 106-112, 2018
812018
Recovering Private Text in Federated Learning of Language Models
S Gupta*, Y Huang*, Z Zhong, T Gao, K Li, D Chen
NeurIPS 2022, 2022
802022
Rest: Retrieval-based speculative decoding
Z He*, Z Zhong*, T Cai*, JD Lee, D He
NAACL 2024, 2024
612024
Generating Regular Expressions from Natural Language Specifications: Are We There Yet?
Z Zhong, J Guo, W Yang, T Xie, JG Lou, T Liu, D Zhang
AAAI Workshop on NLP for Software Engineering (NL4SE-18), 2018
382018
SemRegex: A Semantics-Based Approach for Generating Regular Expressions from Natural Language Specifications
Z Zhong, J Guo, W Yang, J Peng, T Xie, JG Lou, T Liu, D Zhang
EMNLP 2018, 2018
362018
Poisoning Retrieval Corpora by Injecting Adversarial Passages
Z Zhong, Z Huang, A Wettig, D Chen
EMNLP 2023, 2023
352023
Privacy Implications of Retrieval-Based Language Models
Y Huang, S Gupta, Z Zhong, K Li, D Chen
EMNLP 2023, 2023
282023
Muldef: Multi-model-based defense against adversarial examples for neural networks
S Srisakaokul, Y Zhang, Z Zhong, W Yang, T Xie, B Li
arXiv preprint arXiv:1809.00065, 2018
202018
Certifiably Robust RAG against Retrieval Corruption
C Xiang, T Wu, Z Zhong, D Wagner, D Chen, P Mittal
arXiv preprint arXiv:2405.15556, 2024
182024
Reliable, adaptable, and attributable language models with retrieval
A Asai, Z Zhong, D Chen, PW Koh, L Zettlemoyer, H Hajishirzi, W Yih
arXiv preprint arXiv:2403.03187, 2024
182024
Robustra: Training Provable Robust Neural Networks over Reference Adversarial Space.
L Li*, Z Zhong*, B Li, T Xie
IJCAI, 4711-4717, 2019
182019
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