Yuxian Gu

According to our database, Yuxian Gu authored at least 30 papers between 2019 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

LLM-in-Sandbox Elicits General Agentic Intelligence.

Daixuan Cheng, Shaohan Huang, Yuxian Gu, Huatong Song, Guoxin Chen, Li Dong, Wayne Xin Zhao, Ji-Rong Wen, Furu Wei

CoRR, January, 2026

Taming the Long-Tail: Efficient Reasoning RL Training with Adaptive Drafter.

Qinghao Hu, Shang Yang, Junxian Guo, Xiaozhe Yao, Yujun Lin, Yuxian Gu, Han Cai, Chuang Gan, Ana Klimovic, Song Han

Proceedings of the 31st ACM International Conference on Architectural Support for Programming Languages and Operating Systems, 2026

2025

Trust-Region Adaptive Policy Optimization.

Mingyu Su, Jian Guan, Yuxian Gu, Minlie Huang, Hongning Wang

CoRR, December, 2025

Taming the Long-Tail: Efficient Reasoning RL Training with Adaptive Drafter.

Qinghao Hu, Shang Yang, Junxian Guo, Xiaozhe Yao, Yujun Lin, Yuxian Gu, Han Cai, Chuang Gan, Ana Klimovic, Song Han

CoRR, November, 2025

Data-Efficient RLVR via Off-Policy Influence Guidance.

Erle Zhu, Dazhi Jiang, Yuan Wang, Xujun Li, Jiale Cheng, Yuxian Gu, Yilin Niu, Aohan Zeng, Jie Tang, Minlie Huang, Hongning Wang

CoRR, October, 2025

Jet-Nemotron: Efficient Language Model with Post Neural Architecture Search.

Yuxian Gu, Qinghao Hu, Shang Yang, Haocheng Xi, Junyu Chen, Song Han, Han Cai

CoRR, August, 2025

Synthetic Data (Almost) from Scratch: Generalized Instruction Tuning for Language Models.

Haoran Li, Qingxiu Dong, Zhengyang Tang, Chaojun Wang, Xingxing Zhang, Haoyang Huang, Shaohan Huang, Xiaolong Huang, Zeqiang Huang, Dongdong Zhang, Yuxian Gu, Xin Cheng, Xun Wang, Si-Qing Chen, Li Dong, Wei Lu, Zhifang Sui, Benyou Wang, Wai Lam, Furu Wei

Trans. Mach. Learn. Res., 2025

MiniPLM: Knowledge Distillation for Pre-training Language Models.

Yuxian Gu, Hao Zhou, Fandong Meng, Jie Zhou, Minlie Huang

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

Data Selection via Optimal Control for Language Models.

Yuxian Gu, Li Dong, Hongning Wang, Yaru Hao, Qingxiu Dong, Furu Wei, Minlie Huang

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

NVILA: Efficient Frontier Visual Language Models.

Zhijian Liu, Ligeng Zhu, Baifeng Shi, Zhuoyang Zhang, Yuming Lou, Shang Yang, Haocheng Xi, Shiyi Cao, Yuxian Gu, Dacheng Li, Xiuyu Li, Haotian Tang, Yunhao Fang, Yukang Chen, Cheng-Yu Hsieh, De-An Huang, An-Chieh Cheng, Jinyi Hu, Sifei Liu, Ranjay Krishna, Pavlo Molchanov, Jan Kautz, Hongxu Yin, Song Han, Yao Lu

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2025

2024

NVILA: Efficient Frontier Visual Language Models.

Zhijian Liu, Ligeng Zhu, Baifeng Shi, Zhuoyang Zhang, Yuming Lou, Shang Yang, Haocheng Xi, Shiyi Cao, Yuxian Gu, Dacheng Li, Xiuyu Li, Yunhao Fang, Yukang Chen, Cheng-Yu Hsieh, De-An Huang, An-Chieh Cheng, Vishwesh Nath, Jinyi Hu, Sifei Liu, Ranjay Krishna, Daguang Xu, Xiaolong Wang, Pavlo Molchanov, Jan Kautz, Hongxu Yin, Song Han, Yao Lu

CoRR, 2024

Direct Preference Knowledge Distillation for Large Language Models.

Yixing Li, Yuxian Gu, Li Dong, Dequan Wang, Yu Cheng, Furu Wei

CoRR, 2024

Towards Optimal Learning of Language Models.

Yuxian Gu, Li Dong, Yaru Hao, Qingxiu Dong, Minlie Huang, Furu Wei

CoRR, 2024

MiniLLM: Knowledge Distillation of Large Language Models.

Yuxian Gu, Li Dong, Furu Wei, Minlie Huang

Proceedings of the Twelfth International Conference on Learning Representations, 2024

Instruction Pre-Training: Language Models are Supervised Multitask Learners.

Daixuan Cheng, Yuxian Gu, Shaohan Huang, Junyu Bi, Minlie Huang, Furu Wei

Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

2023

EVA2.0: Investigating Open-domain Chinese Dialogue Systems with Large-scale Pre-training.

Yuxian Gu, Jiaxin Wen, Hao Sun, Yi Song, Pei Ke, Chujie Zheng, Zheng Zhang, Jianzhu Yao, Lei Liu, Xiaoyan Zhu, Minlie Huang

Mach. Intell. Res., April, 2023

Knowledge Distillation of Large Language Models.

Yuxian Gu, Li Dong, Furu Wei, Minlie Huang

CoRR, 2023

Pre-Training to Learn in Context.

Yuxian Gu, Li Dong, Furu Wei, Minlie Huang

Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

2022

Structured Prompting: Scaling In-Context Learning to 1, 000 Examples.

Yaru Hao, Yutao Sun, Li Dong, Zhixiong Han, Yuxian Gu, Furu Wei

CoRR, 2022

Many-Class Text Classification with Matching.

Yi Song, Yuxian Gu, Minlie Huang

CoRR, 2022

Learning Instructions with Unlabeled Data for Zero-Shot Cross-Task Generalization.

Yuxian Gu, Pei Ke, Xiaoyan Zhu, Minlie Huang

Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

PPT: Pre-trained Prompt Tuning for Few-shot Learning.

Yuxian Gu, Xu Han, Zhiyuan Liu, Minlie Huang

Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2022

2021

CUGE: A Chinese Language Understanding and Generation Evaluation Benchmark.

Yuan Yao, Qingxiu Dong, Jian Guan, Boxi Cao, Zhengyan Zhang, Chaojun Xiao, Xiaozhi Wang, Fanchao Qi, Junwei Bao, Jinran Nie, Zheni Zeng, Yuxian Gu, Kun Zhou, Xuancheng Huang, Wenhao Li, Shuhuai Ren, Jinliang Lu, Chengqiang Xu, Huadong Wang, Guoyang Zeng, Zile Zhou, Jiajun Zhang, Juanzi Li, Minlie Huang, Rui Yan, Xiaodong He, Xiaojun Wan, Xin Zhao, Xu Sun, Yang Liu, Zhiyuan Liu, Xianpei Han, Erhong Yang, Zhifang Sui, Maosong Sun

CoRR, 2021

EVA: An Open-Domain Chinese Dialogue System with Large-Scale Generative Pre-Training.

Hao Zhou, Pei Ke, Zheng Zhang, Yuxian Gu, Yinhe Zheng, Chujie Zheng, Yida Wang, Chen Henry Wu, Hao Sun, Xiaocong Yang, Bosi Wen, Xiaoyan Zhu, Minlie Huang, Jie Tang

CoRR, 2021

Pre-Trained Models: Past, Present and Future.

Xu Han, Zhengyan Zhang, Ning Ding, Yuxian Gu, Xiao Liu, Yuqi Huo, Jiezhong Qiu, Liang Zhang, Wentao Han, Minlie Huang, Qin Jin, Yanyan Lan, Yang Liu, Zhiyuan Liu, Zhiwu Lu, Xipeng Qiu, Ruihua Song, Jie Tang, Ji-Rong Wen, Jinhui Yuan, Wayne Xin Zhao, Jun Zhu

CoRR, 2021

CPM: A large-scale generative Chinese Pre-trained language model.

Zhengyan Zhang, Xu Han, Hao Zhou, Pei Ke, Yuxian Gu, Deming Ye, Yujia Qin, Yusheng Su, Haozhe Ji, Jian Guan, Fanchao Qi, Xiaozhi Wang, Yanan Zheng, Guoyang Zeng, Huanqi Cao, Shengqi Chen, Daixuan Li, Zhenbo Sun, Zhiyuan Liu, Minlie Huang, Wentao Han, Jie Tang, Juanzi Li, Xiaoyan Zhu, Maosong Sun

AI Open, 2021

CPM-2: Large-scale cost-effective pre-trained language models.

Zhengyan Zhang, Yuxian Gu, Xu Han, Shengqi Chen, Chaojun Xiao, Zhenbo Sun, Yuan Yao, Fanchao Qi, Jian Guan, Pei Ke, Yanzheng Cai, Guoyang Zeng, Zhixing Tan, Zhiyuan Liu, Minlie Huang, Wentao Han, Yang Liu, Xiaoyan Zhu, Maosong Sun

AI Open, 2021

Pre-trained models: Past, present and future.

Xu Han, Zhengyan Zhang, Ning Ding, Yuxian Gu, Xiao Liu, Yuqi Huo, Jiezhong Qiu, Yuan Yao, Ao Zhang, Liang Zhang, Wentao Han, Minlie Huang, Qin Jin, Yanyan Lan, Yang Liu, Zhiyuan Liu, Zhiwu Lu, Xipeng Qiu, Ruihua Song, Jie Tang, Ji-Rong Wen, Jinhui Yuan, Wayne Xin Zhao, Jun Zhu

AI Open, 2021

2020

Train No Evil: Selective Masking for Task-Guided Pre-Training.

Yuxian Gu, Zhengyan Zhang, Xiaozhi Wang, Zhiyuan Liu, Maosong Sun

Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

2019

Adapting Meta Knowledge Graph Information for Multi-Hop Reasoning over Few-Shot Relations.

Xin Lv, Yuxian Gu, Xu Han, Lei Hou, Juanzi Li, Zhiyuan Liu

Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, 2019