Zhai, ChengXiang

16 publications

ICML 2025 What Makes In-Context Learning Effective for Mathematical Reasoning Jiayu Liu, Zhenya Huang, Chaokun Wang, Xunpeng Huang, Chengxiang Zhai, Enhong Chen

NeurIPS 2024 Bias and Volatility: A Statistical Framework for Evaluating Large Language Model's Stereotypes and the Associated Generation Inconsistency Yiran Liu, Ke Yang, Zehan Qi, Xiao Liu, Yang Yu, ChengXiang Zhai

NeurIPSW 2024 Competence-Based Analysis of Language Models Adam Davies, Jize Jiang, ChengXiang Zhai

NeurIPSW 2024 Competence-Based Analysis of Language Models Adam Davies, Jize Jiang, ChengXiang Zhai

ICLRW 2024 If LLM Is the Wizard, Then Code Is the Wand: A Survey on How Code Empowers Large Language Models to Serve as Intelligent Agents Ke Yang, Jiateng Liu, John Wu, Chaoqi Yang, Yi Fung, Sha Li, Zixuan Huang, Xu Cao, Xingyao Wang, Heng Ji, ChengXiang Zhai

AAAI 2024 Seed-Guided Fine-Grained Entity Typing in Science and Engineering Domains Yu Zhang, Yunyi Zhang, Yanzhen Shen, Yu Deng, Lucian Popa, Larisa Shwartz, ChengXiang Zhai, Jiawei Han

AAAI 2023 Learning by Applying: A General Framework for Mathematical Reasoning via Enhancing Explicit Knowledge Learning Jiayu Liu, Zhenya Huang, ChengXiang Zhai, Qi Liu

AAAI 2020 Predicting Opioid Overdose Crude Rates with Text-Based Twitter Features (Student Abstract) Nupoor Gandhi, Alex Morales, Sally Man-Pui Chan, Dolores Albarracin, ChengXiang Zhai

AAAI 2020 Transductive Ensemble Learning for Neural Machine Translation Yiren Wang, Lijun Wu, Yingce Xia, Tao Qin, ChengXiang Zhai, Tie-Yan Liu

ICLR 2019 Multi-Agent Dual Learning Yiren Wang, Yingce Xia, Tianyu He, Fei Tian, Tao Qin, ChengXiang Zhai, Tie-Yan Liu

AAAI 2019 Non-Autoregressive Machine Translation with Auxiliary Regularization Yiren Wang, Fei Tian, Di He, Tao Qin, ChengXiang Zhai, Tie-Yan Liu

IJCAI 2017 ContextCare: Incorporating Contextual Information Networks to Representation Learning on Medical Forum Data Stan Zhao, Meng Jiang, Quan Yuan, Bing Qin, Ting Liu, ChengXiang Zhai

AAAI 2017 Dual-Clustering Maximum Entropy with Application to Classification and Word Embedding Xiaolong Wang, Jingjing Wang, Chengxiang Zhai

ICML 2017 High-Dimensional Variance-Reduced Stochastic Gradient Expectation-Maximization Algorithm Rongda Zhu, Lingxiao Wang, Chengxiang Zhai, Quanquan Gu

IJCAI 2013 Robust Unsupervised Feature Selection Mingjie Qian, Chengxiang Zhai

UAI 2003 Preference-Based Graphic Models for Collaborative Filtering Rong Jin, Luo Si, ChengXiang Zhai