Zhao, Yiran

11 publications

ICLR 2025 Investigating Pattern Neurons in Urban Time Series Forecasting Chengxin Wang, Yiran Zhao, Shaofeng Cai, Gary Tan

NeurIPS 2025 The Emergence of Abstract Thought in Large Language Models Beyond Any Language Yuxin Chen, Yiran Zhao, Yang Zhang, An Zhang, Kenji Kawaguchi, Shafiq Joty, Junnan Li, Tat-Seng Chua, Michael Qizhe Shieh, Wenxuan Zhang

NeurIPS 2025 The Rise of Parameter Specialization for Knowledge Storage in Large Language Models Yihuai Hong, Yiran Zhao, Wei Tang, Yang Deng, Yu Rong, Wenxuan Zhang

ICLR 2025 Understanding and Enhancing Safety Mechanisms of LLMs via Safety-Specific Neuron Yiran Zhao, Wenxuan Zhang, Yuxi Xie, Anirudh Goyal, Kenji Kawaguchi, Michael Shieh

ICML 2025 Unnatural Languages Are Not Bugs but Features for LLMs Keyu Duan, Yiran Zhao, Zhili Feng, Jinjie Ni, Tianyu Pang, Qian Liu, Tianle Cai, Longxu Dou, Kenji Kawaguchi, Anirudh Goyal, J Zico Kolter, Michael Qizhe Shieh

ICLRW 2025 Unnatural Languages Are Not Bugs but Features for LLMs Keyu Duan, Yiran Zhao, Zhili Feng, Jinjie Ni, Tianyu Pang, Qian Liu, Tianle Cai, Longxu Dou, Kenji Kawaguchi, Anirudh Goyal, J Zico Kolter, Michael Qizhe Shieh

NeurIPS 2024 Accelerating Greedy Coordinate Gradient and General Prompt Optimization via Probe Sampling Yiran Zhao, Wenyue Zheng, Tianle Cai, Xuan Long Do, Kenji Kawaguchi, Anirudh Goyal, Michael Qizhe Shieh

NeurIPS 2024 How Do Large Language Models Handle Multilingualism? Yiran Zhao, Wenxuan Zhang, Guizhen Chen, Kenji Kawaguchi, Lidong Bing

JMLR 2024 Tensor-Train Methods for Sequential State and Parameter Learning in State-Space Models Yiran Zhao, Tiangang Cui

NeurIPS 2023 FELM: Benchmarking Factuality Evaluation of Large Language Models Shiqi Chen, Yiran Zhao, Jinghan Zhang, I-Chun Chern, Siyang Gao, Pengfei Liu, Junxian He

NeurIPS 2023 Self-Evaluation Guided Beam Search for Reasoning Yuxi Xie, Kenji Kawaguchi, Yiran Zhao, James Xu Zhao, Min-Yen Kan, Junxian He, Michael Xie