Zexuan Zhong
14 papers · 2018–2024 · 6 conferences · across top CS/AI conferences
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NAACL (3)
ACL (2)
EACL (1)
IJCAI (1)
NIPS (1)
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Keywords
language model
(3)
dense retrieval
(2)
large language model
(2)
retrieval-based language model
(2)
information retrieval
(2)
neural network
(2)
similarity search
(1)
domain adaptation
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differential privacy
(1)
multilingual nlp
(1)
data augmentation
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relation extraction
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information extraction
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named entity recognition
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machine translation
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adversarial robustness
(1)
language modeling
(1)
masked language model
(1)
text reconstruction
(1)
knowledge editing
(1)
Papers
REST: Retrieval-Based Speculative Decoding
NAACL 2024
Retrieval-based Language Models and Applications
ACL 2023
Should You Mask 15% in Masked Language Modeling?
EACL 2023
Poisoning Retrieval Corpora by Injecting Adversarial Passages
EMNLP 2023
Privacy Implications of Retrieval-Based Language Models
EMNLP 2023
MQuAKE: Assessing Knowledge Editing in Language Models via Multi-Hop Questions
EMNLP 2023
Structured Pruning Learns Compact and Accurate Models
ACL 2022
Training Language Models with Memory Augmentation
EMNLP 2022
Recovering Private Text in Federated Learning of Language Models
NIPS 2022
Simple Entity-Centric Questions Challenge Dense Retrievers
EMNLP 2021
Factual Probing Is [MASK]: Learning vs. Learning to Recall
NAACL 2021
A Frustratingly Easy Approach for Entity and Relation Extraction
NAACL 2021
Robustra: Training Provable Robust Neural Networks over Reference Adversarial Space
IJCAI 2019
SemRegex: A Semantics-Based Approach for Generating Regular Expressions from Natural Language Specifications
EMNLP 2018