Wenxuan Zhou

According to our database, Wenxuan Zhou authored at least 38 papers between 2019 and 2025.

Collaborative distances:

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

2025

RedCoder: Automated Multi-Turn Red Teaming for Code LLMs.

Wenjie Jacky Mo, Qin Liu, Xiaofei Wen, Dongwon Jung, Hadi Askari, Wenxuan Zhou, Zhe Zhao, Muhao Chen

CoRR, July, 2025

Code Execution as Grounded Supervision for LLM Reasoning.

Dongwon Jung, Wenxuan Zhou, Muhao Chen

CoRR, June, 2025

MetaScale: Test-Time Scaling with Evolving Meta-Thoughts.

Qin Liu, Wenxuan Zhou, Nan Xu, James Y. Huang, Fei Wang, Sheng Zhang, Hoifung Poon, Muhao Chen

CoRR, March, 2025

Semantic-Clipping: Efficient Vision-Language Modeling with Semantic-Guidedd Visual Selection.

Bangzheng Li, Fei Wang, Wenxuan Zhou, Nan Xu, Ben Zhou, Sheng Zhang, Hoifung Poon, Muhao Chen

CoRR, March, 2025

Offset Unlearning for Large Language Models.

James Y. Huang, Wenxuan Zhou, Fei Wang, Fred Morstatter, Sheng Zhang, Hoifung Poon, Muhao Chen

Trans. Mach. Learn. Res., 2025

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

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

ThinkGuard: Deliberative Slow Thinking Leads to Cautious Guardrails.

Xiaofei Wen, Wenxuan Zhou, Wenjie Jacky Mo, Muhao Chen

Proceedings of the Findings of the Association for Computational Linguistics, 2025

2024

Getting Sick After Seeing a Doctor? Diagnosing and Mitigating Knowledge Conflicts in Event Temporal Reasoning.

Tianqing Fang, Zhaowei Wang, Wenxuan Zhou, Hongming Zhang, Yangqiu Song, Muhao Chen

Proceedings of the Findings of the Association for Computational Linguistics: NAACL 2024, 2024

UniversalNER: Targeted Distillation from Large Language Models for Open Named Entity Recognition.

Wenxuan Zhou, Sheng Zhang, Yu Gu, Muhao Chen, Hoifung Poon

Proceedings of the Twelfth International Conference on Learning Representations, 2024

mDPO: Conditional Preference Optimization for Multimodal Large Language Models.

Fei Wang, Wenxuan Zhou, James Y. Huang, Nan Xu, Sheng Zhang, Hoifung Poon, Muhao Chen

Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

On-the-fly Denoising for Data Augmentation in Natural Language Understanding.

Tianqing Fang, Wenxuan Zhou, Fangyu Liu, Hongming Zhang, Yangqiu Song, Muhao Chen

Proceedings of the Findings of the Association for Computational Linguistics: EACL 2024, 2024

Contrastive Instruction Tuning.

Tianyi Yan, Fei Wang, James Y. Huang, Wenxuan Zhou, Fan Yin, Aram Galstyan, Wenpeng Yin, Muhao Chen

Proceedings of the Findings of the Association for Computational Linguistics, 2024

2023

Context-faithful Prompting for Large Language Models.

Wenxuan Zhou, Sheng Zhang, Hoifung Poon, Muhao Chen

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

GeoLM: Empowering Language Models for Geospatially Grounded Language Understanding.

Zekun Li, Wenxuan Zhou, Yao-Yi Chiang, Muhao Chen

Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

Parameter-Efficient Tuning with Special Token Adaptation.

Xiaocong Yang, James Y. Huang, Wenxuan Zhou, Muhao Chen

Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics, 2023

How Fragile is Relation Extraction under Entity Replacements?

Yiwei Wang, Bryan Hooi, Fei Wang, Yujun Cai, Yuxuan Liang, Wenxuan Zhou, Jing Tang, Manjuan Duan, Muhao Chen

Proceedings of the 27th Conference on Computational Natural Language Learning, 2023

Continual Contrastive Finetuning Improves Low-Resource Relation Extraction.

Wenxuan Zhou, Sheng Zhang, Tristan Naumann, Muhao Chen, Hoifung Poon

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

Robust Natural Language Understanding with Residual Attention Debiasing.

Fei Wang, James Y. Huang, Tianyi Yan, Wenxuan Zhou, Muhao Chen

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

Multi-hop Evidence Retrieval for Cross-document Relation Extraction.

Keming Lu, I-Hung Hsu, Wenxuan Zhou, Mingyu Derek Ma, Muhao Chen

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

2022

Answer Consolidation: Formulation and Benchmarking.

Wenxuan Zhou, Qiang Ning, Heba Elfardy, Kevin Small, Muhao Chen

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

Should We Rely on Entity Mentions for Relation Extraction? Debiasing Relation Extraction with Counterfactual Analysis.

Yiwei Wang, Muhao Chen, Wenxuan Zhou, Yujun Cai, Yuxuan Liang, Dayiheng Liu, Baosong Yang, Juncheng Liu, Bryan Hooi

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

GraphCache: Message Passing as Caching for Sentence-Level Relation Extraction.

Yiwei Wang, Muhao Chen, Wenxuan Zhou, Yujun Cai, Yuxuan Liang, Bryan Hooi

Proceedings of the Findings of the Association for Computational Linguistics: NAACL 2022, 2022

An Improved Baseline for Sentence-level Relation Extraction.

Wenxuan Zhou, Muhao Chen

Proceedings of the 2nd Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics and the 12th International Joint Conference on Natural Language Processing, 2022

Sharpness-Aware Minimization with Dynamic Reweighting.

Wenxuan Zhou, Fangyu Liu, Huan Zhang, Muhao Chen

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2022, 2022

Summarization as Indirect Supervision for Relation Extraction.

Keming Lu, I-Hung Hsu, Wenxuan Zhou, Mingyu Derek Ma, Muhao Chen

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2022, 2022

Prix-LM: Pretraining for Multilingual Knowledge Base Construction.

Wenxuan Zhou, Fangyu Liu, Ivan Vulic, Nigel Collier, Muhao Chen

Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2022

2021

δ-SAM: Sharpness-Aware Minimization with Dynamic Reweighting.

Wenxuan Zhou, Muhao Chen

CoRR, 2021

Contrastive Out-of-Distribution Detection for Pretrained Transformers.

Wenxuan Zhou, Muhao Chen

CoRR, 2021

Learning from Noisy Labels for Entity-Centric Information Extraction.

Wenxuan Zhou, Muhao Chen

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

Contrastive Out-of-Distribution Detection for Pretrained Transformers.

Wenxuan Zhou, Fangyu Liu, Muhao Chen

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

IsoBN: Fine-Tuning BERT with Isotropic Batch Normalization.

Wenxuan Zhou, Bill Yuchen Lin, Xiang Ren

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

Document-Level Relation Extraction with Adaptive Thresholding and Localized Context Pooling.

Wenxuan Zhou, Kevin Huang, Tengyu Ma, Jing Huang

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020

NERO: A Neural Rule Grounding Framework for Label-Efficient Relation Extraction.

Wenxuan Zhou, Hongtao Lin, Bill Yuchen Lin, Ziqi Wang, Junyi Du, Leonardo Neves, Xiang Ren

Proceedings of the WWW '20: The Web Conference 2020, Taipei, Taiwan, April 20-24, 2020, 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

2019

Learning to Annotate: Modularizing Data Augmentation for Text Classifiers with Natural Language Explanations.

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

CoRR, 2019

Neural Rule Grounding for Low-Resource Relation Extraction.

Wenxuan Zhou, Hongtao Lin, Ziqi Wang, Leonardo Neves, Xiang Ren

CoRR, 2019

A Variational Approach to Weakly Supervised Document-Level Multi-Aspect Sentiment Classification.

Ziqian Zeng, Wenxuan Zhou, Xin Liu, Yangqiu Song

Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2019