Fei Huang

According to our database, Fei Huang authored at least 28 papers between 2019 and 2025.

Collaborative distances:

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

2025

WorldPM: Scaling Human Preference Modeling.

Binghai Wang, Runji Lin, Keming Lu, Le Yu, Zhenru Zhang, Fei Huang, Chujie Zheng, Kai Dang, Yang Fan, Xingzhang Ren, An Yang, Binyuan Hui, Dayiheng Liu, Tao Gui, Qi Zhang, Xuanjing Huang, Yu-Gang Jiang, Bowen Yu, Jingren Zhou, Junyang Lin

CoRR, May, 2025

PolyMath: Evaluating Mathematical Reasoning in Multilingual Contexts.

Yiming Wang, Pei Zhang, Jialong Tang, Haoran Wei, Baosong Yang, Rui Wang, Chenshu Sun, Feitong Sun, Jiran Zhang, Junxuan Wu, Qiqian Cang, Yichang Zhang, Fei Huang, Junyang Lin, Fei Huang, Jingren Zhou

CoRR, April, 2025

AutoLogi: Automated Generation of Logic Puzzles for Evaluating Reasoning Abilities of Large Language Models.

Qin Zhu, Fei Huang, Runyu Peng, Keming Lu, Bowen Yu, Qinyuan Cheng, Xipeng Qiu, Xuanjing Huang, Junyang Lin

CoRR, February, 2025

Qwen2.5-1M Technical Report.

An Yang, Bowen Yu, Chengyuan Li, Dayiheng Liu, Fei Huang, Haoyan Huang, Jiandong Jiang, Jianhong Tu, Jianwei Zhang, Jingren Zhou, Junyang Lin, Kai Dang, Kexin Yang, Le Yu, Mei Li, Minmin Sun, Qin Zhu, Rui Men, Tao He, Weijia Xu, Wenbiao Yin, Wenyuan Yu, Xiafei Qiu, Xingzhang Ren, Xinlong Yang, Yong Li, Zhiying Xu, Zipeng Zhang

CoRR, January, 2025

RealCritic: Towards Effectiveness-Driven Evaluation of Language Model Critiques.

Zhengyang Tang, Ziniu Li, Zhenyang Xiao, Tian Ding, Ruoyu Sun, Benyou Wang, Dayiheng Liu, Fei Huang, Tianyu Liu, Bowen Yu, Junyang Lin

CoRR, January, 2025

Enabling Scalable Oversight via Self-Evolving Critic.

Zhengyang Tang, Ziniu Li, Zhenyang Xiao, Tian Ding, Ruoyu Sun, Benyou Wang, Dayiheng Liu, Fei Huang, Tianyu Liu, Bowen Yu, Junyang Lin

CoRR, January, 2025

2024

Qwen2.5 Technical Report.

An Yang, Baosong Yang, Beichen Zhang, Binyuan Hui, Bo Zheng, Bowen Yu, Chengyuan Li, Dayiheng Liu, Fei Huang, Haoran Wei, Huan Lin, Jian Yang, Jianhong Tu, Jianwei Zhang, Jianxin Yang, Jiaxi Yang, Jingren Zhou, Junyang Lin, Kai Dang, Keming Lu, Keqin Bao, Kexin Yang, Le Yu, Mei Li, Mingfeng Xue, Pei Zhang, Qin Zhu, Rui Men, Runji Lin, Tianhao Li, Tingyu Xia, Xingzhang Ren, Xuancheng Ren, Yang Fan, Yang Su, Yichang Zhang, Yu Wan, Yuqiong Liu, Zeyu Cui, Zhenru Zhang, Zihan Qiu

CoRR, 2024

P-MMEval: A Parallel Multilingual Multitask Benchmark for Consistent Evaluation of LLMs.

Yidan Zhang, Boyi Deng, Yu Wan, Baosong Yang, Haoran Wei, Fei Huang, Bowen Yu, Junyang Lin, Fei Huang, Jingren Zhou

CoRR, 2024

Qwen2.5-Coder Technical Report.

Binyuan Hui, Jian Yang, Zeyu Cui, Jiaxi Yang, Dayiheng Liu, Lei Zhang, Tianyu Liu, Jiajun Zhang, Bowen Yu, Kai Dang, An Yang, Rui Men, Fei Huang, Xingzhang Ren, Xuancheng Ren, Jingren Zhou, Junyang Lin

CoRR, 2024

Qwen2 Technical Report.

An Yang, Baosong Yang, Binyuan Hui, Bo Zheng, Bowen Yu, Chang Zhou, Chengpeng Li, Chengyuan Li, Dayiheng Liu, Fei Huang, Guanting Dong, Haoran Wei, Huan Lin, Jialong Tang, Jialin Wang, Jian Yang, Jianhong Tu, Jianwei Zhang, Jianxin Ma, Jianxin Yang, Jin Xu, Jingren Zhou, Jinze Bai, Jinzheng He, Junyang Lin, Kai Dang, Keming Lu, Keqin Chen, Kexin Yang, Mei Li, Mingfeng Xue, Na Ni, Pei Zhang, Peng Wang, Ru Peng, Rui Men, Ruize Gao, Runji Lin, Shijie Wang, Shuai Bai, Sinan Tan, Tianhang Zhu, Tianhao Li, Tianyu Liu, Wenbin Ge, Xiaodong Deng, Xiaohuan Zhou, Xingzhang Ren, Xinyu Zhang, Xipin Wei, Xuancheng Ren, Xuejing Liu, Yang Fan, Yang Yao, Yichang Zhang, Yu Wan, Yunfei Chu, Yuqiong Liu, Zeyu Cui, Zhenru Zhang, Zhifang Guo, Zhihao Fan

CoRR, 2024

Online Merging Optimizers for Boosting Rewards and Mitigating Tax in Alignment.

Keming Lu, Bowen Yu, Fei Huang, Yang Fan, Runji Lin, Chang Zhou

CoRR, 2024

Training-Free Long-Context Scaling of Large Language Models.

Chenxin An, Fei Huang, Jun Zhang, Shansan Gong, Xipeng Qiu, Chang Zhou, Lingpeng Kong

Proceedings of the Forty-first International Conference on Machine Learning, 2024

Predicting Rewards Alongside Tokens: Non-disruptive Parameter Insertion for Efficient Inference Intervention in Large Language Model.

Chenhan Yuan, Fei Huang, Ru Peng, Keming Lu, Bowen Yu, Chang Zhou, Jingren Zhou

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

Speculative Contrastive Decoding.

Hongyi Yuan, Keming Lu, Fei Huang, Zheng Yuan, Chang Zhou

Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics, 2024

2023

Bridging the Gap between Synthetic and Natural Questions via Sentence Decomposition for Semantic Parsing.

Yilin Niu, Fei Huang, Wei Liu, Jianwei Cui, Bin Wang, Minlie Huang

Trans. Assoc. Comput. Linguistics, 2023

Directed Acyclic Transformer Pre-training for High-quality Non-autoregressive Text Generation.

Fei Huang, Pei Ke, Minlie Huang

Trans. Assoc. Comput. Linguistics, 2023

Qwen Technical Report.

Jinze Bai, Shuai Bai, Yunfei Chu, Zeyu Cui, Kai Dang, Xiaodong Deng, Yang Fan, Wenbin Ge, Yu Han, Fei Huang, Binyuan Hui, Luo Ji, Mei Li, Junyang Lin, Runji Lin, Dayiheng Liu, Gao Liu, Chengqiang Lu, Keming Lu, Jianxin Ma, Rui Men, Xingzhang Ren, Xuancheng Ren, Chuanqi Tan, Sinan Tan, Jianhong Tu, Peng Wang, Shijie Wang, Wei Wang, Shengguang Wu, Benfeng Xu, Jin Xu, An Yang, Hao Yang, Jian Yang, Shusheng Yang, Yang Yao, Bowen Yu, Hongyi Yuan, Zheng Yuan, Jianwei Zhang, Xingxuan Zhang, Yichang Zhang, Zhenru Zhang, Chang Zhou, Jingren Zhou, Xiaohuan Zhou, Tianhang Zhu

CoRR, 2023

Optimizing Non-Autoregressive Transformers with Contrastive Learning.

Chenxin An, Jiangtao Feng, Fei Huang, Xipeng Qiu, Lingpeng Kong

CoRR, 2023

Multilingual Non-Autoregressive Machine Translation without Knowledge Distillation.

Chenyang Huang, Fei Huang, Zaixiang Zheng, Osmar Zaïane, Hao Zhou, Lili Mou

Proceedings of the Findings of the Association for Computational Linguistics: IJCNLP-AACL 2023, 2023

DecompEval: Evaluating Generated Texts as Unsupervised Decomposed Question Answering.

Pei Ke, Fei Huang, Fei Mi, Yasheng Wang, Qun Liu, Xiaoyan Zhu, Minlie Huang

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

2022

Directed Acyclic Transformer for Non-Autoregressive Machine Translation.

Fei Huang, Hao Zhou, Yang Liu, Hang Li, Minlie Huang

Proceedings of the International Conference on Machine Learning, 2022

On the Learning of Non-Autoregressive Transformers.

Fei Huang, Tianhua Tao, Hao Zhou, Lei Li, Minlie Huang

Proceedings of the International Conference on Machine Learning, 2022

Chaining Simultaneous Thoughts for Numerical Reasoning.

Zhihong Shao, Fei Huang, Minlie Huang

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2022, 2022

2021

A Semantic-based Method for Unsupervised Commonsense Question Answering.

Yilin Niu, Fei Huang, Jiaming Liang, Wenkai Chen, Xiaoyan Zhu, Minlie Huang

Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021

NAST: A Non-Autoregressive Generator with Word Alignment for Unsupervised Text Style Transfer.

Fei Huang, Zikai Chen, Chen Henry Wu, Qihan Guo, Xiaoyan Zhu, Minlie Huang

Proceedings of the Findings of the Association for Computational Linguistics: ACL/IJCNLP 2021, 2021

2020

A Knowledge-Enhanced Pretraining Model for Commonsense Story Generation.

Jian Guan, Fei Huang, Minlie Huang, Zhihao Zhao, Xiaoyan Zhu

Trans. Assoc. Comput. Linguistics, 2020

CoTK: An Open-Source Toolkit for Fast Development and Fair Evaluation of Text Generation.

Fei Huang, Dazhen Wan, Zhihong Shao, Pei Ke, Jian Guan, Yilin Niu, Xiaoyan Zhu, Minlie Huang

CoRR, 2020

2019

ARAML: A Stable Adversarial Training Framework for Text Generation.

Pei Ke, Fei Huang, Minlie Huang, Xiaoyan Zhu

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