Zhilin Yang - RankMe

69 papers A* 15A 2Journal 34Unranked 18

Year	Rank	Type	Title / Venue / Authors
2024	J	`jnl`	GPT understands, too. AI Open Xiao Liu, Yanan Zheng, Zhengxiao Du, Ming Ding, Yujie Qian, Zhilin Yang, Jie Tang
2023	—	`conf`	A Universal Discriminator for Zero-Shot Generalization. ACL (1) Haike Xu, Zongyu Lin, Jing Zhou, Yanan Zheng, Zhilin Yang
2023	A*	`conf`	CodeGeeX: A Pre-Trained Model for Code Generation with Multilingual Benchmarking on HumanEval-X. KDD 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
2023	J	`jnl`	CodeGeeX: A Pre-Trained Model for Code Generation with Multilingual Evaluations on HumanEval-X. CoRR 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
2023	A*	`conf`	Compositional Task Representations for Large Language Models. ICLR Nan Shao, Zefan Cai, Hanwei Xu, Chonghua Liao, Yanan Zheng, Zhilin Yang
2023	A*	`conf`	Not All Tasks Are Born Equal: Understanding Zero-Shot Generalization. ICLR Jing Zhou, Zongyu Lin, Yanan Zheng, Jian Li, Zhilin Yang
2023	—	`conf`	Prompt-Based Metric Learning for Few-Shot NER. ACL (Findings) Yanru Chen, Yanan Zheng, Zhilin Yang
2022	J	`jnl`	A Universal Discriminator for Zero-Shot Generalization. CoRR Haike Xu, Zongyu Lin, Jing Zhou, Yanan Zheng, Zhilin Yang
2022	—	`conf`	FewNLU: Benchmarking State-of-the-Art Methods for Few-Shot Natural Language Understanding. ACL (1) Yanan Zheng, Jing Zhou, Yujie Qian, Ming Ding, Chonghua Liao, Li Jian, Ruslan Salakhutdinov, Jie Tang, Sebastian Ruder, Zhilin Yang
2022	—	`conf`	FlipDA: Effective and Robust Data Augmentation for Few-Shot Learning. ACL (1) Jing Zhou, Yanan Zheng, Jie Tang, Li Jian, Zhilin Yang
2022	—	`conf`	GLM: General Language Model Pretraining with Autoregressive Blank Infilling. ACL (1) Zhengxiao Du, Yujie Qian, Xiao Liu, Ming Ding, Jiezhong Qiu, Zhilin Yang, Jie Tang
2022	—	`conf`	Learning to Detect Noisy Labels Using Model-Based Features. EMNLP (Findings) Zhihao Wang, Zongyu Lin, Junjie Wen, Xianxin Chen, Peiqi Liu, Guidong Zheng, Yujun Chen, Zhilin Yang
2022	J	`jnl`	Learning to Detect Noisy Labels Using Model-Based Features. CoRR Zhihao Wang, Zongyu Lin, Peiqi Liu, Guidong Zheng, Junjie Wen, Xianxin Chen, Yujun Chen, Zhilin Yang
2022	A*	`conf`	NLP From Scratch Without Large-Scale Pretraining: A Simple and Efficient Framework. ICML Xingcheng Yao, Yanan Zheng, Xiaocong Yang, Zhilin Yang
2022	—	`conf`	P-Tuning: Prompt Tuning Can Be Comparable to Fine-tuning Across Scales and Tasks. ACL (2) Xiao Liu, Kaixuan Ji, Yicheng Fu, Weng Tam, Zhengxiao Du, Zhilin Yang, Jie Tang
2022	J	`jnl`	Prompt-Based Metric Learning for Few-Shot NER. CoRR Yanru Chen, Yanan Zheng, Zhilin Yang
2022	J	`jnl`	Zero-Label Prompt Selection. CoRR Chonghua Liao, Yanan Zheng, Zhilin Yang
2021	J	`jnl`	All NLP Tasks Are Generation Tasks: A General Pretraining Framework. CoRR Zhengxiao Du, Yujie Qian, Xiao Liu, Ming Ding, Jiezhong Qiu, Zhilin Yang, Jie Tang
2021	A*	`conf`	Controllable Generation from Pre-trained Language Models via Inverse Prompting. KDD Xu Zou, Da Yin, Qingyang Zhong, Hongxia Yang, Zhilin Yang, Jie Tang
2021	J	`jnl`	Controllable Generation from Pre-trained Language Models via Inverse Prompting. CoRR Xu Zou, Da Yin, Qingyang Zhong, Hongxia Yang, Zhilin Yang, Jie Tang
2021	J	`jnl`	FastMoE: A Fast Mixture-of-Expert Training System. CoRR Jiaao He, Jiezhong Qiu, Aohan Zeng, Zhilin Yang, Jidong Zhai, Jie Tang
2021	J	`jnl`	FewNLU: Benchmarking State-of-the-Art Methods for Few-Shot Natural Language Understanding. CoRR Yanan Zheng, Jing Zhou, Yujie Qian, Ming Ding, Jian Li, Ruslan Salakhutdinov, Jie Tang, Sebastian Ruder, Zhilin Yang
2021	J	`jnl`	FlipDA: Effective and Robust Data Augmentation for Few-Shot Learning. CoRR Jing Zhou, Yanan Zheng, Jie Tang, Jian Li, Zhilin Yang
2021	J	`jnl`	GPT Understands, Too. CoRR Xiao Liu, Yanan Zheng, Zhengxiao Du, Ming Ding, Yujie Qian, Zhilin Yang, Jie Tang
2021	J	`jnl`	NLP From Scratch Without Large-Scale Pretraining: A Simple and Efficient Framework. CoRR Xingcheng Yao, Yanan Zheng, Xiaocong Yang, Zhilin Yang
2021	J	`jnl`	P-Tuning v2: Prompt Tuning Can Be Comparable to Fine-tuning Universally Across Scales and Tasks. CoRR Xiao Liu, Kaixuan Ji, Yicheng Fu, Zhengxiao Du, Zhilin Yang, Jie Tang
2021	A*	`conf`	The International Workshop on Pretraining: Algorithms, Architectures, and Applications ([email protected] 2021). KDD Ming Ding, Yuxiao Dong, Xiao Liu, Jiezhong Qiu, Jie Tang, Zhilin Yang
2021	J	`jnl`	WuDaoCorpora: A super large-scale Chinese corpora for pre-training language models. AI Open Sha Yuan, Hanyu Zhao, Zhengxiao Du, Ming Ding, Xiao Liu, Yukuo Cen, Xu Zou, Zhilin Yang, Jie Tang
2019	A*	`conf`	Mixtape: Breaking the Softmax Bottleneck Efficiently. NeurIPS Zhilin Yang, Thang Luong, Ruslan Salakhutdinov, Quoc V. Le
2019	J	`jnl`	Transformer-XL: Attentive Language Models Beyond a Fixed-Length Context. CoRR Zihang Dai, Zhilin Yang, Yiming Yang, Jaime G. Carbonell, Quoc V. Le, Ruslan Salakhutdinov
2019	—	`conf`	Transformer-XL: Attentive Language Models beyond a Fixed-Length Context. ACL (1) Zihang Dai, Zhilin Yang, Yiming Yang, Jaime G. Carbonell, Quoc Viet Le, Ruslan Salakhutdinov
2019	A*	`conf`	XLNet: Generalized Autoregressive Pretraining for Language Understanding. NeurIPS Zhilin Yang, Zihang Dai, Yiming Yang, Jaime G. Carbonell, Ruslan Salakhutdinov, Quoc V. Le
2019	J	`jnl`	XLNet: Generalized Autoregressive Pretraining for Language Understanding. CoRR Zhilin Yang, Zihang Dai, Yiming Yang, Jaime G. Carbonell, Ruslan Salakhutdinov, Quoc V. Le
2018	—	`conf`	Breaking the Softmax Bottleneck: A High-Rank RNN Language Model. ICLR Zhilin Yang, Zihang Dai, Ruslan Salakhutdinov, William W. Cohen
2018	A*	`conf`	GLoMo: Unsupervised Learning of Transferable Relational Graphs. NeurIPS Zhilin Yang, Junbo Jake Zhao, Bhuwan Dhingra, Kaiming He, William W. Cohen, Ruslan Salakhutdinov, Yann LeCun
2018	J	`jnl`	GLoMo: Unsupervisedly Learned Relational Graphs as Transferable Representations. CoRR Zhilin Yang, Junbo Jake Zhao, Bhuwan Dhingra, Kaiming He, William W. Cohen, Ruslan Salakhutdinov, Yann LeCun
2018	A*	`conf`	HotpotQA: A Dataset for Diverse, Explainable Multi-hop Question Answering. EMNLP Zhilin Yang, Peng Qi, Saizheng Zhang, Yoshua Bengio, William W. Cohen, Ruslan Salakhutdinov, Christopher D. Manning
2018	J	`jnl`	HotpotQA: A Dataset for Diverse, Explainable Multi-hop Question Answering. CoRR Zhilin Yang, Peng Qi, Saizheng Zhang, Yoshua Bengio, William W. Cohen, Ruslan Salakhutdinov, Christopher D. Manning
2018	—	`conf`	Mastering the Dungeon: Grounded Language Learning by Mechanical Turker Descent. ICLR (Poster) Zhilin Yang, Saizheng Zhang, Jack Urbanek, Will Feng, Alexander H. Miller, Arthur Szlam, Douwe Kiela, Jason Weston
2018	J	`jnl`	Neural Cross-Lingual Named Entity Recognition with Minimal Resources. CoRR Jiateng Xie, Zhilin Yang, Graham Neubig, Noah A. Smith, Jaime G. Carbonell
2018	A*	`conf`	Neural Cross-lingual Named Entity Recognition with Minimal Resources. EMNLP Jiateng Xie, Zhilin Yang, Graham Neubig, Noah A. Smith, Jaime G. Carbonell
2018	—	`conf`	Neural Models for Reasoning over Multiple Mentions Using Coreference. NAACL-HLT (2) Bhuwan Dhingra, Qiao Jin, Zhilin Yang, William W. Cohen, Ruslan Salakhutdinov
2018	J	`jnl`	Neural Models for Reasoning over Multiple Mentions using Coreference. CoRR Bhuwan Dhingra, Qiao Jin, Zhilin Yang, William W. Cohen, Ruslan Salakhutdinov
2017	J	`jnl`	A Probabilistic Framework for Location Inference from Social Media. CoRR Yujie Qian, Jie Tang, Zhilin Yang, Binxuan Huang, Wei Wei, Kathleen M. Carley
2017	J	`jnl`	Breaking the Softmax Bottleneck: A High-Rank RNN Language Model. CoRR Zhilin Yang, Zihang Dai, Ruslan Salakhutdinov, William W. Cohen
2017	J	`jnl`	Differentiable Learning of Logical Rules for Knowledge Base Completion. CoRR Fan Yang, Zhilin Yang, William W. Cohen
2017	—	`conf`	Differentiable Learning of Logical Rules for Knowledge Base Reasoning. NIPS Fan Yang, Zhilin Yang, William W. Cohen
2017	—	`conf`	Gated-Attention Readers for Text Comprehension. ACL (1) Bhuwan Dhingra, Hanxiao Liu, Zhilin Yang, William W. Cohen, Ruslan Salakhutdinov
2017	—	`conf`	Good Semi-supervised Learning That Requires a Bad GAN. NIPS Zihang Dai, Zhilin Yang, Fan Yang, William W. Cohen, Ruslan Salakhutdinov
2017	J	`jnl`	Good Semi-supervised Learning that Requires a Bad GAN. CoRR Zihang Dai, Zhilin Yang, Fan Yang, William W. Cohen, Ruslan Salakhutdinov
2017	J	`jnl`	Linguistic Knowledge as Memory for Recurrent Neural Networks. CoRR Bhuwan Dhingra, Zhilin Yang, William W. Cohen, Ruslan Salakhutdinov
2017	J	`jnl`	Mastering the Dungeon: Grounded Language Learning by Mechanical Turker Descent. CoRR Zhilin Yang, Saizheng Zhang, Jack Urbanek, Will Feng, Alexander H. Miller, Arthur Szlam, Douwe Kiela, Jason Weston
2017	—	`conf`	Semi-Supervised QA with Generative Domain-Adaptive Nets. ACL (1) Zhilin Yang, Junjie Hu, Ruslan Salakhutdinov, William W. Cohen
2017	J	`jnl`	Semi-Supervised QA with Generative Domain-Adaptive Nets. CoRR Zhilin Yang, Junjie Hu, Ruslan Salakhutdinov, William W. Cohen
2017	—	`conf`	Transfer Learning for Sequence Tagging with Hierarchical Recurrent Networks. ICLR (Poster) Zhilin Yang, Ruslan Salakhutdinov, William W. Cohen
2017	J	`jnl`	Transfer Learning for Sequence Tagging with Hierarchical Recurrent Networks. CoRR Zhilin Yang, Ruslan Salakhutdinov, William W. Cohen
2017	—	`conf`	Words or Characters? Fine-grained Gating for Reading Comprehension. ICLR (Poster) Zhilin Yang, Bhuwan Dhingra, Ye Yuan, Junjie Hu, William W. Cohen, Ruslan Salakhutdinov
2016	J	`jnl`	Encode, Review, and Decode: Reviewer Module for Caption Generation. CoRR Zhilin Yang, Ye Yuan, Yuexin Wu, Ruslan Salakhutdinov, William W. Cohen
2016	A*	`conf`	Multi-Modal Bayesian Embeddings for Learning Social Knowledge Graphs. IJCAI Zhilin Yang, Jie Tang, William W. Cohen
2016	J	`jnl`	Multi-Task Cross-Lingual Sequence Tagging from Scratch. CoRR Zhilin Yang, Ruslan Salakhutdinov, William W. Cohen
2016	—	`conf`	Review Networks for Caption Generation. NIPS Zhilin Yang, Ye Yuan, Yuexin Wu, William W. Cohen, Ruslan Salakhutdinov
2016	A*	`conf`	Revisiting Semi-Supervised Learning with Graph Embeddings. ICML Zhilin Yang, William W. Cohen, Ruslan Salakhutdinov
2016	J	`jnl`	Revisiting Semi-Supervised Learning with Graph Embeddings. CoRR Zhilin Yang, William W. Cohen, Ruslan Salakhutdinov
2016	J	`jnl`	Words or Characters? Fine-grained Gating for Reading Comprehension. CoRR Zhilin Yang, Bhuwan Dhingra, Ye Yuan, Junjie Hu, William W. Cohen, Ruslan Salakhutdinov
2015	A*	`conf`	COSNET: Connecting Heterogeneous Social Networks with Local and Global Consistency. KDD Yutao Zhang, Jie Tang, Zhilin Yang, Jian Pei, Philip S. Yu
2015	J	`jnl`	Multi-Source Bayesian Embeddings for Learning Social Knowledge Graphs. CoRR Zhilin Yang, Jie Tang
2014	A	`conf`	Active Learning for Streaming Networked Data. CIKM Zhilin Yang, Jie Tang, Yutao Zhang
2014	A	`conf`	Active learning for networked data based on non-progressive diffusion model. WSDM Zhilin Yang, Jie Tang, Bin Xu, Chunxiao Xing
2013	A*	`conf`	SAE: social analytic engine for large networks. KDD 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