Improved Word Representation Learning with Sememes. - Yilin Niu; Ruobing Xie; Zhiyuan Liu 001; Maosong Sun 001 (ACL (1), 2017)

Remote FPGA lab platform for computer system curriculum. - Yuxiang Zhang; Yu Chen; Xiaojian Ma; Yuhan Tang; Yilin Niu; Shanshan Li; Weidong Liu 001 (ACM TUR-C, 2017)

Word Embedding based Edit Distance. - Yilin Niu; Chao Qiao; Hang Li; Minlie Huang (CoRR, 2018)

A Self-Training Method for Machine Reading Comprehension with Soft Evidence Extraction. - Yilin Niu; Fangkai Jiao; Mantong Zhou; Ting Yao; Jingfang Xu; Minlie Huang (ACL, 2020)

CoTK: An Open-Source Toolkit for Fast Development and Fair Evaluation of Text Generation. - Fei Huang 005; Dazhen Wan; Zhihong Shao; Pei Ke; Jian Guan 002; Yilin Niu; Xiaoyan Zhu 001; Minlie Huang (CoRR, 2020)

REPT: Bridging Language Models and Machine Reading Comprehension via Retrieval-Based Pre-training. - Fangkai Jiao; Yangyang Guo; Yilin Niu; Feng Ji; Feng-Lin Li; Liqiang Nie (ACL/IJCNLP (Findings), 2021)

A Semantic-based Method for Unsupervised Commonsense Question Answering. - Yilin Niu; Fei Huang 005; Jiaming Liang; Wenkai Chen; Xiaoyan Zhu 001; Minlie Huang (ACL/IJCNLP (1), 2021)

The Impact of Social Media Text Tone on Stock Prices: Evidence from SeekingAlpha.Com. - Yilin Niu (ICMLT, 2023)

Bridging the Gap between Synthetic and Natural Questions via Sentence Decomposition for Semantic Parsing. - Yilin Niu; Fei Huang 005; Wei Liu; Jianwei Cui; Bin Wang; Minlie Huang (Trans. Assoc. Comput. Linguistics, 2023)

Towards Efficient Exact Optimization of Language Model Alignment. - Haozhe Ji; Cheng Lu 011; Yilin Niu; Pei Ke; Hongning Wang; Jun Zhu 001; Jie Tang 001; Minlie Huang (ICML, 2024)

Towards Efficient and Exact Optimization of Language Model Alignment. - Haozhe Ji; Cheng Lu 011; Yilin Niu; Pei Ke; Hongning Wang; Jun Zhu 001; Jie Tang 001; Minlie Huang (CoRR, 2024)

ChatGLM-RLHF: Practices of Aligning Large Language Models with Human Feedback. - Zhenyu Hou; Yilin Niu; Zhengxiao Du; Xiaohan Zhang; Xiao Liu 036; Aohan Zeng; Qinkai Zheng; Minlie Huang; Hongning Wang; Jie Tang 001; Yuxiao Dong (CoRR, 2024)

ChatGLM: A Family of Large Language Models from GLM-130B to GLM-4 All Tools. - Aohan Zeng; Bin Xu 001; Bowen Wang; Chenhui Zhang; Da Yin; Diego Rojas; Guanyu Feng; Hanlin Zhao; Hanyu Lai; Hao Yu; Hongning Wang; Jiadai Sun; et al. (CoRR, 2024)

Does RLHF Scale? Exploring the Impacts From Data, Model, and Method. - Zhenyu Hou; Pengfan Du; Yilin Niu; Zhengxiao Du; Aohan Zeng; Xiao Liu 036; Minlie Huang; Hongning Wang; Jie Tang 001; Yuxiao Dong (CoRR, 2024)

LongReward: Improving Long-context Large Language Models with AI Feedback. - Jiajie Zhang; Zhongni Hou; Xin Lv; Shulin Cao; Zhenyu Hou; Yilin Niu; Lei Hou 001; Yuxiao Dong; Ling Feng; Juanzi Li (ACL (1), 2025)

GLM-4.1V-Thinking: Towards Versatile Multimodal Reasoning with Scalable Reinforcement Learning. - Wenyi Hong; Wenmeng Yu; Xiaotao Gu; Guo Wang; Guobing Gan; Haomiao Tang; Jiale Cheng; Ji Qi 003; Junhui Ji; Lihang Pan; Shuaiqi Duan; Weihan Wang; et al. (CoRR, 2025)

GLM-4.5: Agentic, Reasoning, and Coding (ARC) Foundation Models. - Aohan Zeng; Xin Lv; Qinkai Zheng; Zhenyu Hou; Bin Chen; Chengxing Xie; Cunxiang Wang; Da Yin; Hao Zeng; Jiajie Zhang; Kedong Wang; Lucen Zhong; et al. (CoRR, 2025)