Jun Yan

According to our database, Jun Yan authored at least 15 papers between 2018 and 2024.

Collaborative distances:

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

2024

Constructing uniform design tables based on restart discrete dynamical evolutionary algorithm.

Yuelin Zhao, Feng Wu, Yuxiang Yang, Xindi Wei, Zhaohui Hu, Jun Yan, Wanxie Zhong

Soft Comput., October, 2024

Rethinking Backdoor Detection Evaluation for Language Models.

Jun Yan, Wenjie Jacky Mo, Xiang Ren, Robin Jia

CoRR, 2024

2023

Test-time Backdoor Mitigation for Black-Box Large Language Models with Defensive Demonstrations.

Wenjie Mo, Jiashu Xu, Qin Liu, Jiongxiao Wang, Jun Yan, Chaowei Xiao, Muhao Chen

CoRR, 2023

Low-discrepancy Sampling in the Expanded Dimensional Space: An Acceleration Technique for Particle Swarm Optimization.

Feng Wu, Yuelin Zhao, Jianhua Pang, Jun Yan, Wanxie Zhong

CoRR, 2023

BITE: Textual Backdoor Attacks with Iterative Trigger Injection.

Jun Yan, Vansh Gupta, Xiang Ren

Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

2022

Textual Backdoor Attacks with Iterative Trigger Injection.

Jun Yan, Vansh Gupta, Xiang Ren

CoRR, 2022

On the Robustness of Reading Comprehension Models to Entity Renaming.

Jun Yan, Yang Xiao, Sagnik Mukherjee, Bill Yuchen Lin, Robin Jia, Xiang Ren

Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2022

2021

RockNER: A Simple Method to Create Adversarial Examples for Evaluating the Robustness of Named Entity Recognition Models.

Bill Yuchen Lin, Wenyang Gao, Jun Yan, Ryan Moreno, Xiang Ren

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

AdaTag: Multi-Attribute Value Extraction from Product Profiles with Adaptive Decoding.

Jun Yan, Nasser Zalmout, Yan Liang, Christan Grant, Xiang Ren, Xin Luna Dong

Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021

Learning Contextualized Knowledge Structures for Commonsense Reasoning.

Jun Yan, Mrigank Raman, Aaron Chan, Tianyu Zhang, Ryan A. Rossi, Handong Zhao, Sungchul Kim, Nedim Lipka, Xiang Ren

Proceedings of the Findings of the Association for Computational Linguistics: ACL/IJCNLP 2021, 2021

2020

Learning Contextualized Knowledge Structures for Commonsense Reasoning.

Jun Yan, Mrigank Raman, Tianyu Zhang, Ryan A. Rossi, Handong Zhao, Sungchul Kim, Nedim Lipka, Xiang Ren

CoRR, 2020

Learning from Explanations with Neural Execution Tree.

Ziqi Wang, Yujia Qin, Wenxuan Zhou, Jun Yan, Qinyuan Ye, Leonardo Neves, Zhiyuan Liu, Xiang Ren

Proceedings of the 8th International Conference on Learning Representations, 2020

Scalable Multi-Hop Relational Reasoning for Knowledge-Aware Question Answering.

Yanlin Feng, Xinyue Chen, Bill Yuchen Lin, Peifeng Wang, Jun Yan, Xiang Ren

Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

2019

Learning Dual Retrieval Module for Semi-supervised Relation Extraction.

Hongtao Lin, Jun Yan, Meng Qu, Xiang Ren

Proceedings of the World Wide Web Conference, 2019

2018

Language Modeling with Sparse Product of Sememe Experts.

Yihong Gu, Jun Yan, Hao Zhu, Zhiyuan Liu, Ruobing Xie, Maosong Sun, Fen Lin, Leyu Lin

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