Zexuan Zhong

According to our database1, Zexuan Zhong authored at least 21 papers between 2018 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

On csauthors.net:

Bibliography

2024
Reliable, Adaptable, and Attributable Language Models with Retrieval.
CoRR, 2024

2023
REST: Retrieval-Based Speculative Decoding.
CoRR, 2023

kNN-Adapter: Efficient Domain Adaptation for Black-Box Language Models.
CoRR, 2023

MQuAKE: Assessing Knowledge Editing in Language Models via Multi-Hop Questions.
Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

Poisoning Retrieval Corpora by Injecting Adversarial Passages.
Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

Privacy Implications of Retrieval-Based Language Models.
Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

Should You Mask 15% in Masked Language Modeling?
Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics, 2023

Retrieval-based Language Models and Applications.
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.
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.
Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

Structured Pruning Learns Compact and Accurate Models.
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.
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.
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.
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

2020
A Frustratingly Easy Approach for Joint Entity and Relation Extraction.
CoRR, 2020

2019
Robustra: Training Provable Robust Neural Networks over Reference Adversarial Space.
Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

2018
MULDEF: Multi-model-based Defense Against Adversarial Examples for Neural Networks.
CoRR, 2018

Learning Food Quality and Safety from Wireless Stickers.
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.
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?
Proceedings of the Workshops of the The Thirty-Second AAAI Conference on Artificial Intelligence, 2018

CoLink: An Unsupervised Framework for User Identity Linkage.
Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018


  Loading...