Junyang Lin

According to our database, Junyang Lin authored at least 70 papers between 2018 and 2024.

Collaborative distances:

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

2024

Language Models can Self-Lengthen to Generate Long Texts.

Shanghaoran Quan, Tianyi Tang, Bowen Yu, An Yang, Dayiheng Liu, Bofei Gao, Jianhong Tu, Yichang Zhang, Jingren Zhou, Junyang Lin

CoRR, 2024

Aligning CodeLLMs with Direct Preference Optimization.

Yibo Miao, Bofei Gao, Shanghaoran Quan, Junyang Lin, Daoguang Zan, Jiaheng Liu, Jian Yang, Tianyu Liu, Zhijie Deng

CoRR, 2024

Aligning Large Language Models via Self-Steering Optimization.

Hao Xiang, Bowen Yu, Hongyu Lin, Keming Lu, Yaojie Lu, Xianpei Han, Le Sun, Jingren Zhou, Junyang Lin

CoRR, 2024

Rethinking Data Selection at Scale: Random Selection is Almost All You Need.

Tingyu Xia, Bowen Yu, Kai Dang, An Yang, Yuan Wu, Yuan Tian, Yi Chang, Junyang Lin

CoRR, 2024

A Spark of Vision-Language Intelligence: 2-Dimensional Autoregressive Transformer for Efficient Finegrained Image Generation.

Liang Chen, Sinan Tan, Zefan Cai, Weichu Xie, Haozhe Zhao, Yichi Zhang, Junyang Lin, Jinze Bai, Tianyu Liu, Baobao Chang

CoRR, 2024

Rotated Runtime Smooth: Training-Free Activation Smoother for accurate INT4 inference.

Ke Yi, Zengke Liu, Jianwei Zhang, Chengyuan Li, Tong Zhang, Junyang Lin, Jingren Zhou

CoRR, 2024

Analyzing and Mitigating Inconsistency in Discrete Audio Tokens for Neural Codec Language Models.

Wenrui Liu, Zhifang Guo, Jin Xu, Yuanjun Lv, Yunfei Chu, Zhou Zhao, Junyang Lin

CoRR, 2024

SongTrans: An unified song transcription and alignment method for lyrics and notes.

Siwei Wu, Jinzheng He, Ruibin Yuan, Haojie Wei, Xipin Wei, Chenghua Lin, Jin Xu, Junyang Lin

CoRR, 2024

Qwen2-VL: Enhancing Vision-Language Model's Perception of the World at Any Resolution.

Peng Wang, Shuai Bai, Sinan Tan, Shijie Wang, Zhihao Fan, Jinze Bai, Keqin Chen, Xuejing Liu, Jialin Wang, Wenbin Ge, Yang Fan, Kai Dang, Mengfei Du, Xuancheng Ren, Rui Men, Dayiheng Liu, Chang Zhou, Jingren Zhou, Junyang Lin

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

Qwen2.5-Math Technical Report: Toward Mathematical Expert Model via Self-Improvement.

An Yang, Beichen Zhang, Binyuan Hui, Bofei Gao, Bowen Yu, Chengpeng Li, Dayiheng Liu, Jianhong Tu, Jingren Zhou, Junyang Lin, Keming Lu, Mingfeng Xue, Runji Lin, Tianyu Liu, Xingzhang Ren, Zhenru Zhang

CoRR, 2024

OpenDevin: An Open Platform for AI Software Developers as Generalist Agents.

Xingyao Wang, Boxuan Li, Yufan Song, Frank F. Xu, Xiangru Tang, Mingchen Zhuge, Jiayi Pan, Yueqi Song, Bowen Li, Jaskirat Singh, Hoang H. Tran, Fuqiang Li, Ren Ma, Mingzhang Zheng, Bill Qian, Yanjun Shao, Niklas Muennighoff, Yizhe Zhang, Binyuan Hui, Junyang Lin, Robert Brennan, Hao Peng, Heng Ji, Graham Neubig

CoRR, 2024

Qwen2-Audio Technical Report.

Yunfei Chu, Jin Xu, Qian Yang, Haojie Wei, Xipin Wei, Zhifang Guo, Yichong Leng, Yuanjun Lv, Jinzheng He, Junyang Lin, Chang Zhou, Jingren Zhou

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

LLM Critics Help Catch Bugs in Mathematics: Towards a Better Mathematical Verifier with Natural Language Feedback.

Bofei Gao, Zefan Cai, Runxin Xu, Peiyi Wang, Ce Zheng, Runji Lin, Keming Lu, Junyang Lin, Chang Zhou, Wen Xiao, Junjie Hu, Tianyu Liu, Baobao Chang

CoRR, 2024

Routing to the Expert: Efficient Reward-guided Ensemble of Large Language Models.

Keming Lu, Hongyi Yuan, Runji Lin, Junyang Lin, Zheng Yuan, Chang Zhou, Jingren Zhou

Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers), 2024

#InsTag: Instruction Tagging for Analyzing Supervised Fine-tuning of Large Language Models.

Keming Lu, Hongyi Yuan, Zheng Yuan, Runji Lin, Junyang Lin, Chuanqi Tan, Chang Zhou, Jingren Zhou

Proceedings of the Twelfth International Conference on Learning Representations, 2024

Can Large Language Models Always Solve Easy Problems if They Can Solve Harder Ones?

Zhe Yang, Yichang Zhang, Tianyu Liu, Jian Yang, Junyang Lin, Chang Zhou, Zhifang Sui

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

An Image is Worth 1/2 Tokens After Layer 2: Plug-and-Play Inference Acceleration for Large Vision-Language Models.

Liang Chen, Haozhe Zhao, Tianyu Liu, Shuai Bai, Junyang Lin, Chang Zhou, Baobao Chang

Proceedings of the Computer Vision - ECCV 2024, 2024

Synthesizing Text-to-SQL Data from Weak and Strong LLMs.

Jiaxi Yang, Binyuan Hui, Min Yang, Jian Yang, Junyang Lin, Chang Zhou

Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

2023

Self-Evolved Diverse Data Sampling for Efficient Instruction Tuning.

Shengguang Wu, Keming Lu, Benfeng Xu, Junyang Lin, Qi Su, Chang Zhou

CoRR, 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

TouchStone: Evaluating Vision-Language Models by Language Models.

Shuai Bai, Shusheng Yang, Jinze Bai, Peng Wang, Xingxuan Zhang, Junyang Lin, Xinggang Wang, Chang Zhou, Jingren Zhou

CoRR, 2023

Qwen-VL: A Frontier Large Vision-Language Model with Versatile Abilities.

Jinze Bai, Shuai Bai, Shusheng Yang, Shijie Wang, Sinan Tan, Peng Wang, Junyang Lin, Chang Zhou, Jingren Zhou

CoRR, 2023

ExpertPrompting: Instructing Large Language Models to be Distinguished Experts.

Benfeng Xu, An Yang, Junyang Lin, Quan Wang, Chang Zhou, Yongdong Zhang, Zhendong Mao

CoRR, 2023

ONE-PEACE: Exploring One General Representation Model Toward Unlimited Modalities.

Peng Wang, Shijie Wang, Junyang Lin, Shuai Bai, Xiaohuan Zhou, Jingren Zhou, Xinggang Wang, Chang Zhou

CoRR, 2023

Prompt Tuning for Unified Multimodal Pretrained Models.

Hao Yang, Junyang Lin, An Yang, Peng Wang, Chang Zhou

Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

Transferring General Multimodal Pretrained Models to Text Recognition.

Junyang Lin, Xuancheng Ren, Yichang Zhang, Gao Liu, Peng Wang, An Yang, Chang Zhou

Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

2022

OFASys: A Multi-Modal Multi-Task Learning System for Building Generalist Models.

Jinze Bai, Rui Men, Hao Yang, Xuancheng Ren, Kai Dang, Yichang Zhang, Xiaohuan Zhou, Peng Wang, Sinan Tan, An Yang, Zeyu Cui, Yu Han, Shuai Bai, Wenbin Ge, Jianxin Ma, Junyang Lin, Jingren Zhou, Chang Zhou

CoRR, 2022

Chinese CLIP: Contrastive Vision-Language Pretraining in Chinese.

An Yang, Junshu Pan, Junyang Lin, Rui Men, Yichang Zhang, Jingren Zhou, Chang Zhou

CoRR, 2022

Prompt Tuning for Generative Multimodal Pretrained Models.

Hao Yang, Junyang Lin, An Yang, Peng Wang, Chang Zhou, Hongxia Yang

CoRR, 2022

Instance-wise Prompt Tuning for Pretrained Language Models.

Yuezihan Jiang, Hao Yang, Junyang Lin, Hanyu Zhao, An Yang, Chang Zhou, Hongxia Yang, Zhi Yang, Bin Cui

CoRR, 2022

Unifying Architectures, Tasks, and Modalities Through a Simple Sequence-to-Sequence Learning Framework.

Peng Wang, An Yang, Rui Men, Junyang Lin, Shuai Bai, Zhikang Li, Jianxin Ma, Chang Zhou, Jingren Zhou, Hongxia Yang

CoRR, 2022

BaGuaLu: targeting brain scale pretrained models with over 37 million cores.

Zixuan Ma, Jiaao He, Jiezhong Qiu, Huanqi Cao, Yuanwei Wang, Zhenbo Sun, Liyan Zheng, Haojie Wang, Shizhi Tang, Tianyu Zheng, Junyang Lin, Guanyu Feng, Zeqiang Huang, Jie Gao, Aohan Zeng, Jianwei Zhang, Runxin Zhong, Tianhui Shi, Sha Liu, Weimin Zheng, Jie Tang, Hongxia Yang, Xin Liu, Jidong Zhai, Wenguang Chen

Proceedings of the PPoPP '22: 27th ACM SIGPLAN Symposium on Principles and Practice of Parallel Programming, Seoul, Republic of Korea, April 2, 2022

OFA: Unifying Architectures, Tasks, and Modalities Through a Simple Sequence-to-Sequence Learning Framework.

Peng Wang, An Yang, Rui Men, Junyang Lin, Shuai Bai, Zhikang Li, Jianxin Ma, Chang Zhou, Jingren Zhou, Hongxia Yang

Proceedings of the International Conference on Machine Learning, 2022

Modality Competition: What Makes Joint Training of Multi-modal Network Fail in Deep Learning? (Provably).

Yu Huang, Junyang Lin, Chang Zhou, Hongxia Yang, Longbo Huang

Proceedings of the International Conference on Machine Learning, 2022

2021

M6-10T: A Sharing-Delinking Paradigm for Efficient Multi-Trillion Parameter Pretraining.

Junyang Lin, An Yang, Jinze Bai, Chang Zhou, Le Jiang, Xianyan Jia, Ang Wang, Jie Zhang, Yong Li, Wei Lin, Jingren Zhou, Hongxia Yang

CoRR, 2021

Exploring Sparse Expert Models and Beyond.

An Yang, Junyang Lin, Rui Men, Chang Zhou, Le Jiang, Xianyan Jia, Ang Wang, Jie Zhang, Jiamang Wang, Yong Li, Di Zhang, Wei Lin, Lin Qu, Jingren Zhou, Hongxia Yang

CoRR, 2021

M6: A Chinese Multimodal Pretrainer.

Junyang Lin, Rui Men, An Yang, Chang Zhou, Ming Ding, Yichang Zhang, Peng Wang, Ang Wang, Le Jiang, Xianyan Jia, Jie Zhang, Jianwei Zhang, Xu Zou, Zhikang Li, Xiaodong Deng, Jie Liu, Jinbao Xue, Huiling Zhou, Jianxin Ma, Jin Yu, Yong Li, Wei Lin, Jingren Zhou, Jie Tang, Hongxia Yang

CoRR, 2021

CogView: Mastering Text-to-Image Generation via Transformers.

Ming Ding, Zhuoyi Yang, Wenyi Hong, Wendi Zheng, Chang Zhou, Da Yin, Junyang Lin, Xu Zou, Zhou Shao, Hongxia Yang, Jie Tang

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

M6: Multi-Modality-to-Multi-Modality Multitask Mega-transformer for Unified Pretraining.

Junyang Lin, Rui Men, An Yang, Chang Zhou, Yichang Zhang, Peng Wang, Jingren Zhou, Jie Tang, Hongxia Yang

Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021

KNAS: Green Neural Architecture Search.

Jingjing Xu, Liang Zhao, Junyang Lin, Rundong Gao, Xu Sun, Hongxia Yang

Proceedings of the 38th International Conference on Machine Learning, 2021

Connecting Language and Vision for Natural Language-Based Vehicle Retrieval.

Shuai Bai, Zhedong Zheng, Xiaohan Wang, Junyang Lin, Zhu Zhang, Chang Zhou, Hongxia Yang, Yi Yang

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2021

Sketch and Refine: Towards Faithful and Informative Table-to-Text Generation.

Peng Wang, Junyang Lin, An Yang, Chang Zhou, Yichang Zhang, Jingren Zhou, Hongxia Yang

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

Learning Relation Alignment for Calibrated Cross-modal Retrieval.

Shuhuai Ren, Junyang Lin, Guangxiang Zhao, Rui Men, An Yang, Jingren Zhou, Xu Sun, Hongxia Yang

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

2020

Graph-based Multi-hop Reasoning for Long Text Generation.

Liang Zhao, Jingjing Xu, Junyang Lin, Yichang Zhang, Hongxia Yang, Xu Sun

CoRR, 2020

InterBERT: Vision-and-Language Interaction for Multi-modal Pretraining.

Junyang Lin, An Yang, Yichang Zhang, Jie Liu, Jingren Zhou, Hongxia Yang

CoRR, 2020

A Gesture Air-Writing Tracking Method that Uses 24 GHz SIMO Radar SoC.

Pengcheng Wang, Junyang Lin, Fuyue Wang, Jianping Xiu, Yue Lin, Na Yan, Hongtao Xu

IEEE Access, 2020

2019

Explicit Sparse Transformer: Concentrated Attention Through Explicit Selection.

Guangxiang Zhao, Junyang Lin, Zhiyuan Zhang, Xuancheng Ren, Qi Su, Xu Sun

CoRR, 2019

Understanding and Improving Layer Normalization.

Jingjing Xu, Xu Sun, Zhiyuan Zhang, Guangxiang Zhao, Junyang Lin

Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

Towards Knowledge-Based Personalized Product Description Generation in E-commerce.

Qibin Chen, Junyang Lin, Yichang Zhang, Hongxia Yang, Jingren Zhou, Jie Tang

Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2019

Specificity-Driven Cascading Approach for Unsupervised Sentiment Modification.

Pengcheng Yang, Junyang Lin, Jingjing Xu, Jun Xie, Qi Su, Xu Sun

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

Towards Knowledge-Based Recommender Dialog System.

Qibin Chen, Junyang Lin, Yichang Zhang, Ming Ding, Yukuo Cen, Hongxia Yang, Jie Tang

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

A Deep Reinforced Sequence-to-Set Model for Multi-Label Classification.

Pengcheng Yang, Fuli Luo, Shuming Ma, Junyang Lin, Xu Sun

Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019

Imitation Learning for Non-Autoregressive Neural Machine Translation.

Bingzhen Wei, Mingxuan Wang, Hao Zhou, Junyang Lin, Xu Sun

Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019

2018

A Deep Reinforced Sequence-to-Set Model for Multi-Label Text Classification.

Pengcheng Yang, Shuming Ma, Yi Zhang, Junyang Lin, Qi Su, Xu Sun

CoRR, 2018

Future-Prediction-Based Model for Neural Machine Translation.

Bingzhen Wei, Junyang Lin

CoRR, 2018

Decoding-History-Based Adaptive Control of Attention for Neural Machine Translation.

Junyang Lin, Shuming Ma, Qi Su, Xu Sun

CoRR, 2018

DP-GAN: Diversity-Promoting Generative Adversarial Network for Generating Informative and Diversified Text.

Jingjing Xu, Xu Sun, Xuancheng Ren, Junyang Lin, Bingzhen Wei, Wei Li

CoRR, 2018

A Hierarchical End-to-End Model for Jointly Improving Text Summarization and Sentiment Classification.

Shuming Ma, Xu Sun, Junyang Lin, Xuancheng Ren

Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018

3D Articulated Model Retrieval Using Depth Image Input.

Junyang Lin, May-Fang She, Ming-Han Tsai, I-Chen Lin, Yo-Chung Lau, Hsu-Hang Liu

Proceedings of the Computer Vision, Imaging and Computer Graphics Theory and Applications, 2018

Retrieving 3D Objects with Articulated Limbs by Depth Image Input.

Junyang Lin, May-Fang She, Ming-Han Tsai, I-Chen Lin, Yo-Chung Lau, Hsu-Hang Liu

Proceedings of the 13th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2018), 2018

Diversity-Promoting GAN: A Cross-Entropy Based Generative Adversarial Network for Diversified Text Generation.

Jingjing Xu, Xuancheng Ren, Junyang Lin, Xu Sun

Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, Brussels, Belgium, October 31, 2018

An Auto-Encoder Matching Model for Learning Utterance-Level Semantic Dependency in Dialogue Generation.

Liangchen Luo, Jingjing Xu, Junyang Lin, Qi Zeng, Xu Sun

Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, Brussels, Belgium, October 31, 2018

Semantic-Unit-Based Dilated Convolution for Multi-Label Text Classification.

Junyang Lin, Qi Su, Pengcheng Yang, Shuming Ma, Xu Sun

Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, Brussels, Belgium, October 31, 2018

Learning When to Concentrate or Divert Attention: Self-Adaptive Attention Temperature for Neural Machine Translation.

Junyang Lin, Xu Sun, Xuancheng Ren, Muyu Li, Qi Su

Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, Brussels, Belgium, October 31, 2018

Deconvolution-Based Global Decoding for Neural Machine Translation.

Junyang Lin, Xu Sun, Xuancheng Ren, Shuming Ma, Jinsong Su, Qi Su

Proceedings of the 27th International Conference on Computational Linguistics, 2018

Bag-of-Words as Target for Neural Machine Translation.

Shuming Ma, Xu Sun, Yizhong Wang, Junyang Lin

Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics, 2018

Autoencoder as Assistant Supervisor: Improving Text Representation for Chinese Social Media Text Summarization.

Shuming Ma, Xu Sun, Junyang Lin, Houfeng Wang

Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics, 2018

Global Encoding for Abstractive Summarization.

Junyang Lin, Xu Sun, Shuming Ma, Qi Su

Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics, 2018