Bairu Hou

Ph.D. Student, University of California, Santa Barbara

bairu [AT] ucsb.edu

Bio

Bairu Hou is a 3rd-year Ph.D. student of Department of Computer Science, UC Santa Barbara. He is now working with Prof. Shiyu Chang. His research interest mainly lies in natural language processing and speech recognition.

Currently, he focuses on large langauge models, adversarial robustness in natural language processing, and diffusion models. He also has some experiences on natural logic and semantics.

He was a research assistant in THUNLP Group supervised by Prof. Zhiyuan Liu from 2018 to 2021.

Publications

Most recent publications on Google Scholar.
‡ indicates equal contribution.

A Probabilistic Framework for LLM Hallucination Detection via Belief Tree Propagation

Bairu Hou, Yang Zhang, Jacob Andreas, Shiyu Chang

Arxiv

Paper Code

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

Arxiv

Paper Code

Decomposing Uncertainty for Large Language Models through Input Clarification Ensembling

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

ICML'24: International Conference on Machine Learning

Paper Code

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

NAACL'24

Paper Code

Improving Diffusion Models for Scene Text Editing with Dual Encoders

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

TMLR: Transactions on Machine Learning Research

Paper Code

PromptBoosting: Black-Box Text Classification with Ten Forward Passes

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

ICML'23: International Conference on Machine Learning

Paper Code

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

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

ICLR'23: International Conference on Learning Representations

Paper Code

OpenAttack: An Open-source Textual Adversarial Attack Toolkit

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

ACL'21: Annual Meeting of the Association for Computational Linguistics

Paper Code

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

COLING'20: International Conference on Computational Linguistics

Paper Code

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

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

Arxiv

Paper

A Probabilistic Framework for LLM Hallucination Detection via Belief Tree Propagation

Bairu Hou, Yang Zhang, Jacob Andreas, Shiyu Chang

Arxiv

Paper Code

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

Arxiv

Paper Code

Decomposing Uncertainty for Large Language Models through Input Clarification Ensembling

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

ICML'24: International Conference on Machine Learning

Paper Code

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

NAACL'24

Paper Code

Improving Diffusion Models for Scene Text Editing with Dual Encoders

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

TMLR: Transactions on Machine Learning Research

Paper Code

PromptBoosting: Black-Box Text Classification with Ten Forward Passes

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

ICML'23: International Conference on Machine Learning

Paper Code

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

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

ICLR'23: International Conference on Learning Representations

Paper Code

OpenAttack: An Open-source Textual Adversarial Attack Toolkit

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

ACL'21: Annual Meeting of the Association for Computational Linguistics

Paper Code

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

COLING'20: International Conference on Computational Linguistics

Paper Code

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

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

Arxiv

Paper

Vitæ

Misc

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Bairu Hou
bairu [AT] ucsb.edu