Bairu Hou

According to our database, Bairu Hou authored at least 13 papers between 2020 and 2024.

Collaborative distances:

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

2024

Improving Diffusion Models for Scene Text Editing with Dual Encoders.

Jiabao Ji, Guanhua Zhang, Zhaowen Wang, Bairu Hou, Zhifei Zhang, Brian L. Price, Shiyu Chang

Trans. Mach. Learn. Res., 2024

A Survey on Data Selection for Language Models.

Alon Albalak, Yanai Elazar, Sang Michael Xie, Shayne Longpre, Nathan Lambert, Xinyi Wang, Niklas Muennighoff, Bairu Hou, Liangming Pan, Haewon Jeong, Colin Raffel, Shiyu Chang, Tatsunori Hashimoto, William Yang Wang

Trans. Mach. Learn. Res., 2024

A Probabilistic Framework for LLM Hallucination Detection via Belief Tree Propagation.

Bairu Hou, Yang Zhang, Jacob Andreas, Shiyu Chang

CoRR, 2024

Defending Large Language Models against Jailbreak Attacks via Semantic Smoothing.

Jiabao Ji, Bairu Hou, Alexander Robey, George J. Pappas, Hamed Hassani, Yang Zhang, Eric Wong, Shiyu Chang

CoRR, 2024

Advancing the Robustness of Large Language Models through Self-Denoised Smoothing.

Jiabao Ji, Bairu Hou, Zhen Zhang, Guanhua Zhang, Wenqi Fan, Qing Li, Yang Zhang, Gaowen Liu, Sijia Liu, Shiyu Chang

Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies: Short Papers, 2024

Decomposing Uncertainty for Large Language Models through Input Clarification Ensembling.

Bairu Hou, Yujian Liu, Kaizhi Qian, Jacob Andreas, Shiyu Chang, Yang Zhang

Proceedings of the Forty-first International Conference on Machine Learning, 2024

2023

Certified Robustness for Large Language Models with Self-Denoising.

Zhen Zhang, Guanhua Zhang, Bairu Hou, Wenqi Fan, Qing Li, Sijia Liu, Yang Zhang, Shiyu Chang

CoRR, 2023

PromptBoosting: Black-Box Text Classification with Ten Forward Passes.

Bairu Hou, Joe O'Connor, Jacob Andreas, Shiyu Chang, Yang Zhang

Proceedings of the International Conference on Machine Learning, 2023

TextGrad: Advancing Robustness Evaluation in NLP by Gradient-Driven Optimization.

Bairu Hou, Jinghan Jia, Yihua Zhang, Guanhua Zhang, Yang Zhang, Sijia Liu, Shiyu Chang

Proceedings of the Eleventh International Conference on Learning Representations, 2023

2021

OpenAttack: An Open-source Textual Adversarial Attack Toolkit.

Guoyang Zeng, Fanchao Qi, Qianrui Zhou, Tingji Zhang, Zixian Ma, Bairu Hou, Yuan Zang, Zhiyuan Liu, Maosong Sun

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

2020

Learning to Attack: Towards Textual Adversarial Attacking in Real-world Situations.

Yuan Zang, Bairu Hou, Fanchao Qi, Zhiyuan Liu, Xiaojun Meng, Maosong Sun

CoRR, 2020

OpenAttack: An Open-source Textual Adversarial Attack Toolkit.

Guoyang Zeng, Fanchao Qi, Qianrui Zhou, Tingji Zhang, Bairu Hou, Yuan Zang, Zhiyuan Liu, Maosong Sun

CoRR, 2020

Try to Substitute: An Unsupervised Chinese Word Sense Disambiguation Method Based on HowNet.

Bairu Hou, Fanchao Qi, Yuan Zang, Xurui Zhang, Zhiyuan Liu, Maosong Sun

Proceedings of the 28th International Conference on Computational Linguistics, 2020