Zhilin Yang

According to our database, Zhilin Yang authored at least 51 papers between 2013 and 2024.

Collaborative distances:

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

2024

GPT understands, too.

Xiao Liu, Yanan Zheng, Zhengxiao Du, Ming Ding, Yujie Qian, Zhilin Yang, Jie Tang

AI Open, 2024

2023

CodeGeeX: A Pre-Trained Model for Code Generation with Multilingual Evaluations on HumanEval-X.

Qinkai Zheng, Xiao Xia, Xu Zou, Yuxiao Dong, Shan Wang, Yufei Xue, Zihan Wang, Lei Shen, Andi Wang, Yang Li, Teng Su, Zhilin Yang, Jie Tang

CoRR, 2023

CodeGeeX: A Pre-Trained Model for Code Generation with Multilingual Benchmarking on HumanEval-X.

Qinkai Zheng, Xiao Xia, Xu Zou, Yuxiao Dong, Shan Wang, Yufei Xue, Lei Shen, Zihan Wang, Andi Wang, Yang Li, Teng Su, Zhilin Yang, Jie Tang

Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

Not All Tasks Are Born Equal: Understanding Zero-Shot Generalization.

Jing Zhou, Zongyu Lin, Yanan Zheng, Jian Li, Zhilin Yang

Proceedings of the Eleventh International Conference on Learning Representations, 2023

Compositional Task Representations for Large Language Models.

Nan Shao, Zefan Cai, Hanwei Xu, Chonghua Liao, Yanan Zheng, Zhilin Yang

Proceedings of the Eleventh International Conference on Learning Representations, 2023

A Universal Discriminator for Zero-Shot Generalization.

Haike Xu, Zongyu Lin, Jing Zhou, Yanan Zheng, Zhilin Yang

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

Prompt-Based Metric Learning for Few-Shot NER.

Yanru Chen, Yanan Zheng, Zhilin Yang

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

2022

Zero-Label Prompt Selection.

Chonghua Liao, Yanan Zheng, Zhilin Yang

CoRR, 2022

NLP From Scratch Without Large-Scale Pretraining: A Simple and Efficient Framework.

Xingcheng Yao, Yanan Zheng, Xiaocong Yang, Zhilin Yang

Proceedings of the International Conference on Machine Learning, 2022

Learning to Detect Noisy Labels Using Model-Based Features.

Zhihao Wang, Zongyu Lin, Junjie Wen, Xianxin Chen, Peiqi Liu, Guidong Zheng, Yujun Chen, Zhilin Yang

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

FlipDA: Effective and Robust Data Augmentation for Few-Shot Learning.

Jing Zhou, Yanan Zheng, Jie Tang, Li Jian, Zhilin Yang

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

FewNLU: Benchmarking State-of-the-Art Methods for Few-Shot Natural Language Understanding.

Yanan Zheng, Jing Zhou, Yujie Qian, Ming Ding, Chonghua Liao, Li Jian, Ruslan Salakhutdinov, Jie Tang, Sebastian Ruder, Zhilin Yang

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

P-Tuning: Prompt Tuning Can Be Comparable to Fine-tuning Across Scales and Tasks.

Xiao Liu, Kaixuan Ji, Yicheng Fu, Weng Tam, Zhengxiao Du, Zhilin Yang, Jie Tang

Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers), 2022

GLM: General Language Model Pretraining with Autoregressive Blank Infilling.

Zhengxiao Du, Yujie Qian, Xiao Liu, Ming Ding, Jiezhong Qiu, Zhilin Yang, Jie Tang

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

2021

P-Tuning v2: Prompt Tuning Can Be Comparable to Fine-tuning Universally Across Scales and Tasks.

Xiao Liu, Kaixuan Ji, Yicheng Fu, Zhengxiao Du, Zhilin Yang, Jie Tang

CoRR, 2021

FewNLU: Benchmarking State-of-the-Art Methods for Few-Shot Natural Language Understanding.

Yanan Zheng, Jing Zhou, Yujie Qian, Ming Ding, Jian Li, Ruslan Salakhutdinov, Jie Tang, Sebastian Ruder, Zhilin Yang

CoRR, 2021

FlipDA: Effective and Robust Data Augmentation for Few-Shot Learning.

Jing Zhou, Yanan Zheng, Jie Tang, Jian Li, Zhilin Yang

CoRR, 2021

FastMoE: A Fast Mixture-of-Expert Training System.

Jiaao He, Jiezhong Qiu, Aohan Zeng, Zhilin Yang, Jidong Zhai, Jie Tang

CoRR, 2021

All NLP Tasks Are Generation Tasks: A General Pretraining Framework.

Zhengxiao Du, Yujie Qian, Xiao Liu, Ming Ding, Jiezhong Qiu, Zhilin Yang, Jie Tang

CoRR, 2021

WuDaoCorpora: A super large-scale Chinese corpora for pre-training language models.

Sha Yuan, Hanyu Zhao, Zhengxiao Du, Ming Ding, Xiao Liu, Yukuo Cen, Xu Zou, Zhilin Yang, Jie Tang

AI Open, 2021

Controllable Generation from Pre-trained Language Models via Inverse Prompting.

Xu Zou, Da Yin, Qingyang Zhong, Hongxia Yang, Zhilin Yang, Jie Tang

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

The International Workshop on Pretraining: Algorithms, Architectures, and Applications ([email protected] 2021).

Ming Ding, Yuxiao Dong, Xiao Liu, Jiezhong Qiu, Jie Tang, Zhilin Yang

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

2019

Mixtape: Breaking the Softmax Bottleneck Efficiently.

Zhilin Yang, Thang Luong, Ruslan Salakhutdinov, Quoc V. Le

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

XLNet: Generalized Autoregressive Pretraining for Language Understanding.

Zhilin Yang, Zihang Dai, Yiming Yang, Jaime G. Carbonell, Ruslan Salakhutdinov, Quoc V. Le

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

Transformer-XL: Attentive Language Models beyond a Fixed-Length Context.

Zihang Dai, Zhilin Yang, Yiming Yang, Jaime G. Carbonell, Quoc Viet Le, Ruslan Salakhutdinov

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

2018

GLoMo: Unsupervisedly Learned Relational Graphs as Transferable Representations.

Zhilin Yang, Junbo Jake Zhao, Bhuwan Dhingra, Kaiming He, William W. Cohen, Ruslan Salakhutdinov, Yann LeCun

CoRR, 2018

GLoMo: Unsupervised Learning of Transferable Relational Graphs.

Zhilin Yang, Junbo Jake Zhao, Bhuwan Dhingra, Kaiming He, William W. Cohen, Ruslan Salakhutdinov, Yann LeCun

Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

Neural Models for Reasoning over Multiple Mentions Using Coreference.

Bhuwan Dhingra, Qiao Jin, Zhilin Yang, William W. Cohen, Ruslan Salakhutdinov

Proceedings of the 2018 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2018

Mastering the Dungeon: Grounded Language Learning by Mechanical Turker Descent.

Zhilin Yang, Saizheng Zhang, Jack Urbanek, Will Feng, Alexander H. Miller, Arthur Szlam, Douwe Kiela, Jason Weston

Proceedings of the 6th International Conference on Learning Representations, 2018

Breaking the Softmax Bottleneck: A High-Rank RNN Language Model.

Zhilin Yang, Zihang Dai, Ruslan Salakhutdinov, William W. Cohen

Proceedings of the 6th International Conference on Learning Representations, 2018

HotpotQA: A Dataset for Diverse, Explainable Multi-hop Question Answering.

Zhilin Yang, Peng Qi, Saizheng Zhang, Yoshua Bengio, William W. Cohen, Ruslan Salakhutdinov, Christopher D. Manning

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

Neural Cross-lingual Named Entity Recognition with Minimal Resources.

Jiateng Xie, Zhilin Yang, Graham Neubig, Noah A. Smith, Jaime G. Carbonell

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

2017

Differentiable Learning of Logical Rules for Knowledge Base Completion.

Fan Yang, Zhilin Yang, William W. Cohen

CoRR, 2017

A Probabilistic Framework for Location Inference from Social Media.

Yujie Qian, Jie Tang, Zhilin Yang, Binxuan Huang, Wei Wei, Kathleen M. Carley

CoRR, 2017

Linguistic Knowledge as Memory for Recurrent Neural Networks.

Bhuwan Dhingra, Zhilin Yang, William W. Cohen, Ruslan Salakhutdinov

CoRR, 2017

Differentiable Learning of Logical Rules for Knowledge Base Reasoning.

Fan Yang, Zhilin Yang, William W. Cohen

Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017

Good Semi-supervised Learning That Requires a Bad GAN.

Zihang Dai, Zhilin Yang, Fan Yang, William W. Cohen, Ruslan Salakhutdinov

Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017

Transfer Learning for Sequence Tagging with Hierarchical Recurrent Networks.

Zhilin Yang, Ruslan Salakhutdinov, William W. Cohen

Proceedings of the 5th International Conference on Learning Representations, 2017

Words or Characters? Fine-grained Gating for Reading Comprehension.

Zhilin Yang, Bhuwan Dhingra, Ye Yuan, Junjie Hu, William W. Cohen, Ruslan Salakhutdinov

Proceedings of the 5th International Conference on Learning Representations, 2017

Semi-Supervised QA with Generative Domain-Adaptive Nets.

Zhilin Yang, Junjie Hu, Ruslan Salakhutdinov, William W. Cohen

Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics, 2017

Gated-Attention Readers for Text Comprehension.

Bhuwan Dhingra, Hanxiao Liu, Zhilin Yang, William W. Cohen, Ruslan Salakhutdinov

Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics, 2017

2016

Encode, Review, and Decode: Reviewer Module for Caption Generation.

Zhilin Yang, Ye Yuan, Yuexin Wu, Ruslan Salakhutdinov, William W. Cohen

CoRR, 2016

Multi-Task Cross-Lingual Sequence Tagging from Scratch.

Zhilin Yang, Ruslan Salakhutdinov, William W. Cohen

CoRR, 2016

Review Networks for Caption Generation.

Zhilin Yang, Ye Yuan, Yuexin Wu, William W. Cohen, Ruslan Salakhutdinov

Proceedings of the Advances in Neural Information Processing Systems 29: Annual Conference on Neural Information Processing Systems 2016, 2016

Multi-Modal Bayesian Embeddings for Learning Social Knowledge Graphs.

Zhilin Yang, Jie Tang, William W. Cohen

Proceedings of the Twenty-Fifth International Joint Conference on Artificial Intelligence, 2016

Revisiting Semi-Supervised Learning with Graph Embeddings.

Zhilin Yang, William W. Cohen, Ruslan Salakhutdinov

Proceedings of the 33nd International Conference on Machine Learning, 2016

2015

Multi-Source Bayesian Embeddings for Learning Social Knowledge Graphs.

Zhilin Yang, Jie Tang

CoRR, 2015

COSNET: Connecting Heterogeneous Social Networks with Local and Global Consistency.

Yutao Zhang, Jie Tang, Zhilin Yang, Jian Pei, Philip S. Yu

Proceedings of the 21th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2015

2014

Active learning for networked data based on non-progressive diffusion model.

Zhilin Yang, Jie Tang, Bin Xu, Chunxiao Xing

Proceedings of the Seventh ACM International Conference on Web Search and Data Mining, 2014

Active Learning for Streaming Networked Data.

Zhilin Yang, Jie Tang, Yutao Zhang

Proceedings of the 23rd ACM International Conference on Conference on Information and Knowledge Management, 2014

2013

SAE: social analytic engine for large networks.

Yang Yang, Jianfei Wang, Yutao Zhang, Wei Chen, Jing Zhang, Honglei Zhuang, Zhilin Yang, Bo Ma, Zhanpeng Fang, Sen Wu, Xiaoxiao Li, Debing Liu, Jie Tang

Proceedings of the 19th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2013