Wenjie Mo

According to our database, Wenjie Mo authored at least 8 papers between 2023 and 2024.

Collaborative distances:

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

2024

Rethinking Backdoor Detection Evaluation for Language Models.

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

CoRR, 2024

MuirBench: A Comprehensive Benchmark for Robust Multi-image Understanding.

Fei Wang, Xingyu Fu, James Y. Huang, Zekun Li, Qin Liu, Xiaogeng Liu, Mingyu Derek Ma, Nan Xu, Wenxuan Zhou, Kai Zhang, Tianyi Lorena Yan, Wenjie Jacky Mo, Hsiang-Hui Liu, Pan Lu, Chunyuan Li, Chaowei Xiao, Kai-Wei Chang, Dan Roth, Sheng Zhang, Hoifung Poon, Muhao Chen

CoRR, 2024

Mitigating Backdoor Threats to Large Language Models: Advancement and Challenges.

Qin Liu, Wenjie Mo, Terry Tong, Jiashu Xu, Fei Wang, Chaowei Xiao, Muhao Chen

Proceedings of the 60th Annual Allerton Conference on Communication, 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

Feature Tracks are not Zero-Mean Gaussian.

Stephanie Tsuei, Wenjie Mo, Stefano Soatto

CoRR, 2023

Learning from Active Human Involvement through Proxy Value Propagation.

Zhenghao Mark Peng, Wenjie Mo, Chenda Duan, Quanyi Li, Bolei Zhou

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

ScenarioNet: Open-Source Platform for Large-Scale Traffic Scenario Simulation and Modeling.

Quanyi Li, Zhenghao Mark Peng, Lan Feng, Zhizheng Liu, Chenda Duan, Wenjie Mo, Bolei Zhou

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

A Causal View of Entity Bias in (Large) Language Models.

Fei Wang, Wenjie Mo, Yiwei Wang, Wenxuan Zhou, Muhao Chen

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023