Try to Substitute: An Unsupervised Chinese Word Sense Disambiguation Method Based on HowNet. - Bairu Hou; Fanchao Qi; Yuan Zang; Xurui Zhang; Zhiyuan Liu 001; Maosong Sun 001 (COLING, 2020)

OpenAttack: An Open-source Textual Adversarial Attack Toolkit. - Guoyang Zeng; Fanchao Qi; Qianrui Zhou; Tingji Zhang; Bairu Hou; Yuan Zang; Zhiyuan Liu 001; Maosong Sun 001 (CoRR, 2020)

Learning to Attack: Towards Textual Adversarial Attacking in Real-world Situations. - Yuan Zang; Bairu Hou; Fanchao Qi; Zhiyuan Liu 001; Xiaojun Meng; Maosong Sun 001 (CoRR, 2020)

OpenAttack: An Open-source Textual Adversarial Attack Toolkit. - Guoyang Zeng; Fanchao Qi; Qianrui Zhou; Tingji Zhang; Zixian Ma; Bairu Hou; Yuan Zang; Zhiyuan Liu 001; Maosong Sun 001 (ACL (demo), 2021)

TextGrad: Advancing Robustness Evaluation in NLP by Gradient-Driven Optimization. - Bairu Hou; Jinghan Jia; Yihua Zhang; Guanhua Zhang; Yang Zhang 001; Sijia Liu 001; Shiyu Chang (ICLR, 2023)

PromptBoosting: Black-Box Text Classification with Ten Forward Passes. - Bairu Hou; Joe O'Connor; Jacob Andreas; Shiyu Chang; Yang Zhang 001 (ICML, 2023)

Certified Robustness for Large Language Models with Self-Denoising. - Zhen Zhang; Guanhua Zhang; Bairu Hou; Wenqi Fan; Qing Li 001; Sijia Liu 001; Yang Zhang 001; Shiyu Chang (CoRR, 2023)

Decomposing Uncertainty for Large Language Models through Input Clarification Ensembling. - Bairu Hou; Yujian Liu; Kaizhi Qian; Jacob Andreas; Shiyu Chang; Yang Zhang 001 (ICML, 2024)

Advancing the Robustness of Large Language Models through Self-Denoised Smoothing. - Jiabao Ji; Bairu Hou; Zhen Zhang; Guanhua Zhang; Wenqi Fan; Qing Li 001; Yang Zhang 001; Gaowen Liu; Sijia Liu 001; Shiyu Chang (NAACL (Short Papers), 2024)

Defending Large Language Models against Jailbreak Attacks via Semantic Smoothing. - Jiabao Ji; Bairu Hou; Alexander Robey; George J. Pappas; Hamed Hassani; Yang Zhang 001; Eric Wong 001; Shiyu Chang (CoRR, 2024)

A Probabilistic Framework for LLM Hallucination Detection via Belief Tree Propagation. - Bairu Hou; Yang Zhang 001; Jacob Andreas; Shiyu Chang (CoRR, 2024)

A Survey on Data Selection for Language Models. - Alon Albalak; Yanai Elazar; Sang Michael Xie; Shayne Longpre; Nathan Lambert 001; Xinyi Wang 003; Niklas Muennighoff; Bairu Hou; Liangming Pan; Haewon Jeong; Colin Raffel; Shiyu Chang; et al. (Trans. Mach. Learn. Res., 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 Probabilistic Framework for LLM Hallucination Detection via Belief Tree Propagation. - Bairu Hou; Yang Zhang; Jacob Andreas; Shiyu Chang (NAACL (Long Papers), 2025)

Instruction-Following Pruning for Large Language Models. - Bairu Hou; Qibin Chen; Jianyu Wang; Guoli Yin; Chong Wang; Nan Du; Ruoming Pang; Shiyu Chang; Tao Lei (CoRR, 2025)

KVLink: Accelerating Large Language Models via Efficient KV Cache Reuse. - Jingbo Yang; Bairu Hou; Wei Wei 019; Yujia Bao; Shiyu Chang (CoRR, 2025)

ThinkPrune: Pruning Long Chain-of-Thought of LLMs via Reinforcement Learning. - Bairu Hou; Yang Zhang 001; Jiabao Ji; Yujian Liu; Kaizhi Qian; Jacob Andreas; Shiyu Chang (CoRR, 2025)