Hou, Bairu

8 publications

TMLR 2026 ThinkPrune: Pruning Long Chain-of-Thought of LLMs via Reinforcement Learning Bairu Hou, Yang Zhang, Jiabao Ji, Yujian Liu, Kaizhi Qian, Jacob Andreas, Shiyu Chang

ICML 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

NeurIPS 2025 KVLink: Accelerating Large Language Models via Efficient KV Cache Reuse Jingbo Yang, Bairu Hou, Wei Wei, Yujia Bao, Shiyu Chang

TMLR 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

ICML 2024 Decomposing Uncertainty for Large Language Models Through Input Clarification Ensembling Bairu Hou, Yujian Liu, Kaizhi Qian, Jacob Andreas, Shiyu Chang, Yang Zhang

TMLR 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

ICML 2023 PromptBoosting: Black-Box Text Classification with Ten Forward Passes Bairu Hou, Joe O’Connor, Jacob Andreas, Shiyu Chang, Yang Zhang

ICLR 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