Junyang Lin

Publication Activity (10 Years)

Years Active: 2018-2024
Publications (10 Years): 80

Top Topics

Machine Translation

Technical Report

Top Venues

Publications

Zhe Yang, Yichang Zhang, Tianyu Liu, Jian Yang, Junyang Lin, Chang Zhou, Zhifang Sui
Can Large Language Models Always Solve Easy Problems if They Can Solve Harder Ones? CoRR (2024)
Keming Lu, Hongyi Yuan, Runji Lin, Junyang Lin, Zheng Yuan, Chang Zhou, Jingren Zhou
Routing to the Expert: Efficient Reward-guided Ensemble of Large Language Models. NAACL-HLT (2024)
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
OpenDevin: An Open Platform for AI Software Developers as Generalist Agents. CoRR (2024)
Yunfei Chu, Jin Xu, Qian Yang, Haojie Wei, Xipin Wei, Zhifang Guo, Yichong Leng, Yuanjun Lv, Jinzheng He, Junyang Lin, Chang Zhou, Jingren Zhou
Qwen2-Audio Technical Report. CoRR (2024)
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
LLM Critics Help Catch Bugs in Mathematics: Towards a Better Mathematical Verifier with Natural Language Feedback. CoRR (2024)
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
Qwen2 Technical Report. CoRR (2024)
Keming Lu, Hongyi Yuan, Zheng Yuan, Runji Lin, Junyang Lin, Chuanqi Tan, Chang Zhou, Jingren Zhou
#InsTag: Instruction Tagging for Analyzing Supervised Fine-tuning of Large Language Models. ICLR (2024)
Liang Chen, Haozhe Zhao, Tianyu Liu, Shuai Bai, Junyang Lin, Chang Zhou, Baobao Chang
An Image is Worth 1/2 Tokens After Layer 2: Plug-and-Play Inference Acceleration for Large Vision-Language Models. CoRR (2024)
Jiaxi Yang, Binyuan Hui, Min Yang, Jian Yang, Junyang Lin, Chang Zhou
Synthesizing Text-to-SQL Data from Weak and Strong LLMs. ACL (1) (2024)
Keming Lu, Hongyi Yuan, Zheng Yuan, Runji Lin, Junyang Lin, Chuanqi Tan, Chang Zhou, Jingren Zhou
#InsTag: Instruction Tagging for Analyzing Supervised Fine-tuning of Large Language Models. CoRR (2023)
Junyang Lin, Xuancheng Ren, Yichang Zhang, Gao Liu, Peng Wang, An Yang, Chang Zhou
Transferring General Multimodal Pretrained Models to Text Recognition. ACL (Findings) (2023)
Hao Yang, Junyang Lin, An Yang, Peng Wang, Chang Zhou
Prompt Tuning for Unified Multimodal Pretrained Models. ACL (Findings) (2023)
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
Qwen Technical Report. CoRR (2023)
Shuai Bai, Shusheng Yang, Jinze Bai, Peng Wang, Xingxuan Zhang, Junyang Lin, Xinggang Wang, Chang Zhou, Jingren Zhou
TouchStone: Evaluating Vision-Language Models by Language Models. CoRR (2023)
Shengguang Wu, Keming Lu, Benfeng Xu, Junyang Lin, Qi Su, Chang Zhou
Self-Evolved Diverse Data Sampling for Efficient Instruction Tuning. CoRR (2023)
Jinze Bai, Shuai Bai, Shusheng Yang, Shijie Wang, Sinan Tan, Peng Wang, Junyang Lin, Chang Zhou, Jingren Zhou
Qwen-VL: A Frontier Large Vision-Language Model with Versatile Abilities. CoRR (2023)
Keming Lu, Hongyi Yuan, Runji Lin, Junyang Lin, Zheng Yuan, Chang Zhou, Jingren Zhou
Routing to the Expert: Efficient Reward-guided Ensemble of Large Language Models. CoRR (2023)
Peng Wang, Shijie Wang, Junyang Lin, Shuai Bai, Xiaohuan Zhou, Jingren Zhou, Xinggang Wang, Chang Zhou
ONE-PEACE: Exploring One General Representation Model Toward Unlimited Modalities. CoRR (2023)
Benfeng Xu, An Yang, Junyang Lin, Quan Wang, Chang Zhou, Yongdong Zhang, Zhendong Mao
ExpertPrompting: Instructing Large Language Models to be Distinguished Experts. CoRR (2023)
Hao Yang, Junyang Lin, An Yang, Peng Wang, Chang Zhou, Hongxia Yang
Prompt Tuning for Generative Multimodal Pretrained Models. CoRR (2022)
Peng Wang, An Yang, Rui Men, Junyang Lin, Shuai Bai, Zhikang Li, Jianxin Ma, Chang Zhou, Jingren Zhou, Hongxia Yang
Unifying Architectures, Tasks, and Modalities Through a Simple Sequence-to-Sequence Learning Framework. CoRR (2022)
Yu Huang, Junyang Lin, Chang Zhou, Hongxia Yang, Longbo Huang
Modality Competition: What Makes Joint Training of Multi-modal Network Fail in Deep Learning? (Provably). CoRR (2022)
Yuezihan Jiang, Hao Yang, Junyang Lin, Hanyu Zhao, An Yang, Chang Zhou, Hongxia Yang, Zhi Yang, Bin Cui
Instance-wise Prompt Tuning for Pretrained Language Models. CoRR (2022)
Peng Wang, An Yang, Rui Men, Junyang Lin, Shuai Bai, Zhikang Li, Jianxin Ma, Chang Zhou, Jingren Zhou, Hongxia Yang
OFA: Unifying Architectures, Tasks, and Modalities Through a Simple Sequence-to-Sequence Learning Framework. ICML (2022)
An Yang, Junshu Pan, Junyang Lin, Rui Men, Yichang Zhang, Jingren Zhou, Chang Zhou
Chinese CLIP: Contrastive Vision-Language Pretraining in Chinese. CoRR (2022)
Yu Huang, Junyang Lin, Chang Zhou, Hongxia Yang, Longbo Huang
Modality Competition: What Makes Joint Training of Multi-modal Network Fail in Deep Learning? (Provably). ICML (2022)
Junyang Lin, Xuancheng Ren, Yichang Zhang, Gao Liu, Peng Wang, An Yang, Chang Zhou
Transferring General Multimodal Pretrained Models to Text Recognition. CoRR (2022)
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
BaGuaLu: targeting brain scale pretrained models with over 37 million cores. PPoPP (2022)
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
OFASys: A Multi-Modal Multi-Task Learning System for Building Generalist Models. CoRR (2022)
Junyang Lin, Rui Men, An Yang, Chang Zhou, Yichang Zhang, Peng Wang, Jingren Zhou, Jie Tang, Hongxia Yang
M6: Multi-Modality-to-Multi-Modality Multitask Mega-transformer for Unified Pretraining. KDD (2021)
Ming Ding, Zhuoyi Yang, Wenyi Hong, Wendi Zheng, Chang Zhou, Da Yin, Junyang Lin, Xu Zou, Zhou Shao, Hongxia Yang, Jie Tang
CogView: Mastering Text-to-Image Generation via Transformers. CoRR (2021)
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
M6: A Chinese Multimodal Pretrainer. CoRR (2021)
Peng Wang, Junyang Lin, An Yang, Chang Zhou, Yichang Zhang, Jingren Zhou, Hongxia Yang
Sketch and Refine: Towards Faithful and Informative Table-to-Text Generation. ACL/IJCNLP (Findings) (2021)
Shuai Bai, Zhedong Zheng, Xiaohan Wang, Junyang Lin, Zhu Zhang, Chang Zhou, Hongxia Yang, Yi Yang
Connecting Language and Vision for Natural Language-Based Vehicle Retrieval. CVPR Workshops (2021)
Shuai Bai, Zhedong Zheng, Xiaohan Wang, Junyang Lin, Zhu Zhang, Chang Zhou, Yi Yang, Hongxia Yang
Connecting Language and Vision for Natural Language-Based Vehicle Retrieval. CoRR (2021)
Shuhuai Ren, Junyang Lin, Guangxiang Zhao, Rui Men, An Yang, Jingren Zhou, Xu Sun, Hongxia Yang
Learning Relation Alignment for Calibrated Cross-modal Retrieval. ACL/IJCNLP (1) (2021)
Shuhuai Ren, Junyang Lin, Guangxiang Zhao, Rui Men, An Yang, Jingren Zhou, Xu Sun, Hongxia Yang
Learning Relation Alignment for Calibrated Cross-modal Retrieval. CoRR (2021)
Jingjing Xu, Liang Zhao, Junyang Lin, Rundong Gao, Xu Sun, Hongxia Yang
KNAS: Green Neural Architecture Search. CoRR (2021)
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
Exploring Sparse Expert Models and Beyond. CoRR (2021)
Junyang Lin, An Yang, Jinze Bai, Chang Zhou, Le Jiang, Xianyan Jia, Ang Wang, Jie Zhang, Yong Li, Wei Lin, Jingren Zhou, Hongxia Yang
M6-10T: A Sharing-Delinking Paradigm for Efficient Multi-Trillion Parameter Pretraining. CoRR (2021)
Jingjing Xu, Liang Zhao, Junyang Lin, Rundong Gao, Xu Sun, Hongxia Yang
KNAS: Green Neural Architecture Search. ICML (2021)
Ming Ding, Zhuoyi Yang, Wenyi Hong, Wendi Zheng, Chang Zhou, Da Yin, Junyang Lin, Xu Zou, Zhou Shao, Hongxia Yang, Jie Tang
CogView: Mastering Text-to-Image Generation via Transformers. NeurIPS (2021)
Peng Wang, Junyang Lin, An Yang, Chang Zhou, Yichang Zhang, Jingren Zhou, Hongxia Yang
Sketch and Refine: Towards Faithful and Informative Table-to-Text Generation. CoRR (2021)
Junyang Lin, An Yang, Yichang Zhang, Jie Liu, Jingren Zhou, Hongxia Yang
InterBERT: Vision-and-Language Interaction for Multi-modal Pretraining. CoRR (2020)
Pengcheng Wang, Junyang Lin, Fuyue Wang, Jianping Xiu, Yue Lin, Na Yan, Hongtao Xu
A Gesture Air-Writing Tracking Method that Uses 24 GHz SIMO Radar SoC. IEEE Access 8 (2020)
Liang Zhao, Jingjing Xu, Junyang Lin, Yichang Zhang, Hongxia Yang, Xu Sun
Graph-based Multi-hop Reasoning for Long Text Generation. CoRR (2020)
Qibin Chen, Junyang Lin, Yichang Zhang, Ming Ding, Yukuo Cen, Hongxia Yang, Jie Tang
Towards Knowledge-Based Recommender Dialog System. CoRR (2019)
Qibin Chen, Junyang Lin, Yichang Zhang, Hongxia Yang, Jingren Zhou, Jie Tang
Towards Knowledge-Based Personalized Product Description Generation in E-commerce. CoRR (2019)
Guangxiang Zhao, Junyang Lin, Zhiyuan Zhang, Xuancheng Ren, Qi Su, Xu Sun
Explicit Sparse Transformer: Concentrated Attention Through Explicit Selection. CoRR (2019)
Qibin Chen, Junyang Lin, Yichang Zhang, Ming Ding, Yukuo Cen, Hongxia Yang, Jie Tang
Towards Knowledge-Based Recommender Dialog System. EMNLP/IJCNLP (1) (2019)
Pengcheng Yang, Fuli Luo, Shuming Ma, Junyang Lin, Xu Sun
A Deep Reinforced Sequence-to-Set Model for Multi-Label Classification. ACL (1) (2019)
Pengcheng Yang, Junyang Lin, Jingjing Xu, Jun Xie, Qi Su, Xu Sun
Specificity-Driven Cascading Approach for Unsupervised Sentiment Modification. EMNLP/IJCNLP (1) (2019)
Jingjing Xu, Xu Sun, Zhiyuan Zhang, Guangxiang Zhao, Junyang Lin
Understanding and Improving Layer Normalization. CoRR (2019)
Jingjing Xu, Xu Sun, Zhiyuan Zhang, Guangxiang Zhao, Junyang Lin
Understanding and Improving Layer Normalization. NeurIPS (2019)
Bingzhen Wei, Mingxuan Wang, Hao Zhou, Junyang Lin, Xu Sun
Imitation Learning for Non-Autoregressive Neural Machine Translation. ACL (1) (2019)
Bingzhen Wei, Mingxuan Wang, Hao Zhou, Junyang Lin, Xu Sun
Imitation Learning for Non-Autoregressive Neural Machine Translation. CoRR (2019)
Qibin Chen, Junyang Lin, Yichang Zhang, Hongxia Yang, Jingren Zhou, Jie Tang
Towards Knowledge-Based Personalized Product Description Generation in E-commerce. KDD (2019)
Junyang Lin, Xu Sun, Shuming Ma, Qi Su
Global Encoding for Abstractive Summarization. ACL (2) (2018)
Jingjing Xu, Xu Sun, Xuancheng Ren, Junyang Lin, Bingzhen Wei, Wei Li
DP-GAN: Diversity-Promoting Generative Adversarial Network for Generating Informative and Diversified Text. CoRR (2018)
Shuming Ma, Xu Sun, Yizhong Wang, Junyang Lin
Bag-of-Words as Target for Neural Machine Translation. ACL (2) (2018)
Junyang Lin, Qi Su, Pengcheng Yang, Shuming Ma, Xu Sun
Semantic-Unit-Based Dilated Convolution for Multi-Label Text Classification. CoRR (2018)
Liangchen Luo, Jingjing Xu, Junyang Lin, Qi Zeng, Xu Sun
An Auto-Encoder Matching Model for Learning Utterance-Level Semantic Dependency in Dialogue Generation. CoRR (2018)
Junyang Lin, Xu Sun, Xuancheng Ren, Muyu Li, Qi Su
Learning When to Concentrate or Divert Attention: Self-Adaptive Attention Temperature for Neural Machine Translation. EMNLP (2018)
Shuming Ma, Xu Sun, Junyang Lin, Houfeng Wang
Autoencoder as Assistant Supervisor: Improving Text Representation for Chinese Social Media Text Summarization. CoRR (2018)
Shuming Ma, Xu Sun, Junyang Lin, Xuancheng Ren
A Hierarchical End-to-End Model for Jointly Improving Text Summarization and Sentiment Classification. CoRR (2018)
Shuming Ma, Xu Sun, Yizhong Wang, Junyang Lin
Bag-of-Words as Target for Neural Machine Translation. CoRR (2018)
Junyang Lin, May-Fang She, Ming-Han Tsai, I-Chen Lin, Yo-Chung Lau, Hsu-Hang Liu
Retrieving 3D Objects with Articulated Limbs by Depth Image Input. VISIGRAPP (1: GRAPP) (2018)
Jingjing Xu, Xuancheng Ren, Junyang Lin, Xu Sun
Diversity-Promoting GAN: A Cross-Entropy Based Generative Adversarial Network for Diversified Text Generation. EMNLP (2018)
Junyang Lin, Xu Sun, Xuancheng Ren, Shuming Ma, Jinsong Su, Qi Su
Deconvolution-Based Global Decoding for Neural Machine Translation. CoRR (2018)
Junyang Lin, Xu Sun, Xuancheng Ren, Muyu Li, Qi Su
Learning When to Concentrate or Divert Attention: Self-Adaptive Attention Temperature for Neural Machine Translation. CoRR (2018)
Shuming Ma, Xu Sun, Junyang Lin, Houfeng Wang
Autoencoder as Assistant Supervisor: Improving Text Representation for Chinese Social Media Text Summarization. ACL (2) (2018)
Junyang Lin, Xu Sun, Shuming Ma, Qi Su
Global Encoding for Abstractive Summarization. CoRR (2018)
Shuming Ma, Xu Sun, Junyang Lin, Xuancheng Ren
A Hierarchical End-to-End Model for Jointly Improving Text Summarization and Sentiment Classification. IJCAI (2018)
Pengcheng Yang, Shuming Ma, Yi Zhang, Junyang Lin, Qi Su, Xu Sun
A Deep Reinforced Sequence-to-Set Model for Multi-Label Text Classification. CoRR (2018)
Junyang Lin, Xu Sun, Xuancheng Ren, Shuming Ma, Jinsong Su, Qi Su
Deconvolution-Based Global Decoding for Neural Machine Translation. COLING (2018)
Liangchen Luo, Jingjing Xu, Junyang Lin, Qi Zeng, Xu Sun
An Auto-Encoder Matching Model for Learning Utterance-Level Semantic Dependency in Dialogue Generation. EMNLP (2018)
Junyang Lin, Qi Su, Pengcheng Yang, Shuming Ma, Xu Sun
Semantic-Unit-Based Dilated Convolution for Multi-Label Text Classification. EMNLP (2018)
Junyang Lin, May-Fang She, Ming-Han Tsai, I-Chen Lin, Yo-Chung Lau, Hsu-Hang Liu
3D Articulated Model Retrieval Using Depth Image Input. VISIGRAPP (Revised Selected Papers) (2018)
Junyang Lin, Shuming Ma, Qi Su, Xu Sun
Decoding-History-Based Adaptive Control of Attention for Neural Machine Translation. CoRR (2018)
Bingzhen Wei, Junyang Lin
Future-Prediction-Based Model for Neural Machine Translation. CoRR (2018)