Jun Yan

23 papers A* 4Journal 12Unranked 7
YearRankTypeTitle / Venue / Authors
2025 A* conf
Rethinking Backdoor Detection Evaluation for Language Models.
EMNLP
Jun Yan, Wenjie Jacky Mo, Xiang Ren, Robin Jia
2025 — conf
Test-time Backdoor Mitigation for Black-Box Large Language Models with Defensive Demonstrations.
NAACL (Findings)
Wenjie Jacky Mo, Jiashu Xu, Qin Liu, Jiongxiao Wang, Jun Yan, Hadi Askari, Chaowei Xiao, Muhao Chen
2024 J jnl
Constructing uniform design tables based on restart discrete dynamical evolutionary algorithm.
Soft Comput.
Yuelin Zhao, Feng Wu, Yuxiang Yang, Xindi Wei, Zhaohui Hu, Jun Yan, Wanxie Zhong
2024 J jnl
Rethinking Backdoor Detection Evaluation for Language Models.
CoRR
Jun Yan, Wenjie Mo, Xiang Ren, Robin Jia
2023 — conf
BITE: Textual Backdoor Attacks with Iterative Trigger Injection.
ACL (1)
Jun Yan, Vansh Gupta, Xiang Ren
2023 J jnl
Low-discrepancy Sampling in the Expanded Dimensional Space: An Acceleration Technique for Particle Swarm Optimization.
CoRR
Feng Wu, Yuelin Zhao, Jianhua Pang, Jun Yan, Wanxie Zhong
2023 J jnl
Test-time Backdoor Mitigation for Black-Box Large Language Models with Defensive Demonstrations.
CoRR
Wenjie Mo, Jiashu Xu, Qin Liu, Jiongxiao Wang, Jun Yan, Chaowei Xiao, Muhao Chen
2022 — conf
On the Robustness of Reading Comprehension Models to Entity Renaming.
NAACL-HLT
Jun Yan, Yang Xiao, Sagnik Mukherjee, Bill Yuchen Lin, Robin Jia, Xiang Ren
2022 J jnl
Textual Backdoor Attacks with Iterative Trigger Injection.
CoRR
Jun Yan, Vansh Gupta, Xiang Ren
2021 — conf
AdaTag: Multi-Attribute Value Extraction from Product Profiles with Adaptive Decoding.
ACL/IJCNLP (1)
Jun Yan, Nasser Zalmout, Yan Liang, Christan Grant, Xiang Ren, Xin Luna Dong
2021 J jnl
AdaTag: Multi-Attribute Value Extraction from Product Profiles with Adaptive Decoding.
CoRR
Jun Yan, Nasser Zalmout, Yan Liang, Christan Grant, Xiang Ren, Xin Luna Dong
2021 — conf
Learning Contextualized Knowledge Structures for Commonsense Reasoning.
ACL/IJCNLP (Findings)
Jun Yan, Mrigank Raman, Aaron Chan, Tianyu Zhang, Ryan A. Rossi, Handong Zhao, Sungchul Kim, Nedim Lipka, Xiang Ren
2021 J jnl
On the Robustness of Reading Comprehension Models to Entity Renaming.
CoRR
Jun Yan, Yang Xiao, Sagnik Mukherjee, Bill Yuchen Lin, Robin Jia, Xiang Ren
2021 — conf
RockNER: A Simple Method to Create Adversarial Examples for Evaluating the Robustness of Named Entity Recognition Models.
EMNLP (1)
Bill Yuchen Lin, Wenyang Gao, Jun Yan, Ryan Moreno, Xiang Ren
2021 J jnl
RockNER: A Simple Method to Create Adversarial Examples for Evaluating the Robustness of Named Entity Recognition Models.
CoRR
Bill Yuchen Lin, Wenyang Gao, Jun Yan, Ryan Moreno, Xiang Ren
2020 J jnl
Learning Contextualized Knowledge Structures for Commonsense Reasoning.
CoRR
Jun Yan, Mrigank Raman, Tianyu Zhang, Ryan A. Rossi, Handong Zhao, Sungchul Kim, Nedim Lipka, Xiang Ren
2020 A* conf
Learning from Explanations with Neural Execution Tree.
ICLR
Ziqi Wang, Yujia Qin, Wenxuan Zhou, Jun Yan, Qinyuan Ye, Leonardo Neves, Zhiyuan Liu, Xiang Ren
2020 — conf
Scalable Multi-Hop Relational Reasoning for Knowledge-Aware Question Answering.
EMNLP (1)
Yanlin Feng, Xinyue Chen, Bill Yuchen Lin, Peifeng Wang, Jun Yan, Xiang Ren
2020 J jnl
Scalable Multi-Hop Relational Reasoning for Knowledge-Aware Question Answering.
CoRR
Yanlin Feng, Xinyue Chen, Bill Yuchen Lin, Peifeng Wang, Jun Yan, Xiang Ren
2019 A* conf
Learning Dual Retrieval Module for Semi-supervised Relation Extraction.
WWW
Hongtao Lin, Jun Yan, Meng Qu, Xiang Ren
2019 J jnl
Learning Dual Retrieval Module for Semi-supervised Relation Extraction.
CoRR
Hongtao Lin, Jun Yan, Meng Qu, Xiang Ren
2018 A* conf
Language Modeling with Sparse Product of Sememe Experts.
EMNLP
Yihong Gu, Jun Yan, Hao Zhu, Zhiyuan Liu, Ruobing Xie, Maosong Sun, Fen Lin, Leyu Lin
2018 J jnl
Language Modeling with Sparse Product of Sememe Experts.
CoRR
Yihong Gu, Jun Yan, Hao Zhu, Zhiyuan Liu, Ruobing Xie, Maosong Sun, Fen Lin, Leyu Lin