Excessive use of Twitter among college students in the UK: Validation of the Microblog Excessive Use Scale and relationship to social interaction and loneliness. - Yamikani Ndasauka; Juan Hou; Ying Wang; Lizhuang Yang; Zhiyu Yang; Zi Ye; Yaru Hao; Andreas J. Fallgatter; Yan Kong; Xiaochu Zhang (Comput. Hum. Behav., 2016)

Adaptive flocking of heterogeneous multi-agents systems with nonlinear dynamics. - Qing Zhang 005; Yaru Hao; Zhengquan Yang; Zengqiang Chen 001 (Neurocomputing, 2016)

Feature Extraction and Classification of EHG between Pregnancy and Labour Group Using Hilbert-Huang Transform and Extreme Learning Machine. - Lili Chen; Yaru Hao (Comput. Math. Methods Medicine, 2017)

Visualizing and Understanding the Effectiveness of BERT. - Yaru Hao; Li Dong 004; Furu Wei; Ke Xu 001 (EMNLP/IJCNLP (1), 2019)

Investigating Learning Dynamics of BERT Fine-Tuning. - Yaru Hao; Li Dong 004; Furu Wei; Ke Xu 001 (AACL/IJCNLP, 2020)

Self-Attention Attribution: Interpreting Information Interactions Inside Transformer. - Yaru Hao; Li Dong 004; Furu Wei; Ke Xu 001 (AAAI, 2021)

Learning to Sample Replacements for ELECTRA Pre-Training. - Yaru Hao; Li Dong 004; Hangbo Bao; Ke Xu 001; Furu Wei (ACL/IJCNLP (Findings), 2021)

Knowledge Neurons in Pretrained Transformers. - Damai Dai; Li Dong 004; Yaru Hao; Zhifang Sui; Furu Wei (CoRR, 2021)

Knowledge Neurons in Pretrained Transformers. - Damai Dai; Li Dong 004; Yaru Hao; Zhifang Sui; Baobao Chang; Furu Wei (ACL (1), 2022)

Prototypical Calibration for Few-shot Learning of Language Models. - Zhixiong Han; Yaru Hao; Li Dong 004; Furu Wei (CoRR, 2022)

Language Models are General-Purpose Interfaces. - Yaru Hao; Haoyu Song 002; Li Dong 004; Shaohan Huang; Zewen Chi; Wenhui Wang 003; Shuming Ma; Furu Wei (CoRR, 2022)

Structured Prompting: Scaling In-Context Learning to 1, 000 Examples. - Yaru Hao; Yutao Sun; Li Dong 004; Zhixiong Han; Yuxian Gu; Furu Wei (CoRR, 2022)

Why Can GPT Learn In-Context? Language Models Secretly Perform Gradient Descent as Meta-Optimizers. - Damai Dai; Yutao Sun; Li Dong 004; Yaru Hao; Zhifang Sui; Furu Wei (CoRR, 2022)

Joint learning sample similarity and correlation representation for cancer survival prediction. - Yaru Hao; Xiao-Yuan Jing; Qixing Sun (BMC Bioinform., 2022)

Prototypical Fine-Tuning: Towards Robust Performance under Varying Data Sizes. - Yiqiao Jin; Xiting Wang; Yaru Hao; Yizhou Sun; Xing Xie 001 (AAAI, 2023)

Why Can GPT Learn In-Context? Language Models Secretly Perform Gradient Descent as Meta-Optimizers. - Damai Dai; Yutao Sun; Li Dong 004; Yaru Hao; Shuming Ma; Zhifang Sui; Furu Wei (ACL (Findings), 2023)

Prototypical Calibration for Few-shot Learning of Language Models. - Zhixiong Han; Yaru Hao; Li Dong 004; Yutao Sun; Furu Wei (ICLR, 2023)

Optimizing Prompts for Text-to-Image Generation. - Yaru Hao; Zewen Chi; Li Dong 004; Furu Wei (NeurIPS, 2023)

Language Is Not All You Need: Aligning Perception with Language Models. - Shaohan Huang; Li Dong 004; Wenhui Wang 003; Yaru Hao; Saksham Singhal; Shuming Ma; Tengchao Lv; Lei Cui 001; Owais Khan Mohammed; Barun Patra; Qiang Liu; Kriti Aggarwal; et al. (NeurIPS, 2023)

Kosmos-2: Grounding Multimodal Large Language Models to the World. - Zhiliang Peng; Wenhui Wang 003; Li Dong 004; Yaru Hao; Shaohan Huang; Shuming Ma; Furu Wei (CoRR, 2023)

Large Language Model for Science: A Study on P vs. NP. - Qingxiu Dong; Li Dong 004; Ke Xu 001; Guangyan Zhou; Yaru Hao; Zhifang Sui; Furu Wei (CoRR, 2023)

Learning enhanced specific representations for multi-view feature learning. - Yaru Hao; Xiao-Yuan Jing; Runhang Chen; Wei Liu 200 (Knowl. Based Syst., 2023)

A novel two-way rebalancing strategy for identifying carbonylation sites. - Linjun Chen; Xiao-Yuan Jing; Yaru Hao; Wei Liu 200; Xiaoke Zhu; Wei Han (BMC Bioinform., 2023)

Cancer survival prediction by learning comprehensive deep feature representation for multiple types of genetic data. - Yaru Hao; Xiao-Yuan Jing; Qixing Sun (BMC Bioinform., 2023)

Task-specific parameter decoupling for class incremental learning. - Runhang Chen; Xiao-Yuan Jing; Fei Wu 004; Wei Zheng; Yaru Hao (Inf. Sci., 2023)

Grounding Multimodal Large Language Models to the World. - Zhiliang Peng; Wenhui Wang 003; Li Dong 004; Yaru Hao; Shaohan Huang; Shuming Ma; Qixiang Ye; Furu Wei (ICLR, 2024)

Towards Optimal Learning of Language Models. - Yuxian Gu; Li Dong 004; Yaru Hao; Qingxiu Dong; Minlie Huang; Furu Wei (CoRR, 2024)

Low-rank representation induced missing-view recovery for incomplete multi-view clustering. - Wei Liu 200; Xiaoyuan Jing; Xiaodong Jia 005; Xiaoke Zhu; Yaru Hao (Neurocomputing, 2024)

Higher emotional synchronization is modulated by relationship quality in romantic relationships and not in close friendships. - Yijun Chen; Shen Liu; Yaru Hao; Qian Zhao; Jiecheng Ren; Yi Piao; Liuyun Wang; Yunping Yang; Chenggong Jin; Hangwei Wang; Xuezhi Zhou; Jia-Hong Gao 001; et al. (NeuroImage, 2024)

Data Selection via Optimal Control for Language Models. - Yuxian Gu; Li Dong 004; Hongning Wang; Yaru Hao; Qingxiu Dong; Furu Wei; Minlie Huang (ICLR, 2025)

On-Policy RL with Optimal Reward Baseline. - Yaru Hao; Li Dong 004; Xun Wu; Shaohan Huang; Zewen Chi; Furu Wei (CoRR, 2025)

Geometric-Mean Policy Optimization. - Yuzhong Zhao; Yue Liu; Junpeng Liu; Jingye Chen; Xun Wu; Yaru Hao; Tengchao Lv; Shaohan Huang; Lei Cui 001; Qixiang Ye; Fang Wan 001; Furu Wei (CoRR, 2025)