Zhilin Yang
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
34
Venues
11
Active years
2013–2025
Best venue rank
A*
Where they publish
Papers
34 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2025 | ICLR | Learning to Plan Before Answering: Self-Teaching LLMs to Learn Abstract Plans for Problem Solving. | Jin Zhang, Flood Sung, Zhilin Yang, Yang Gao, Chongjie Zhang |
| 2025 | IJCNN | ALM-KD: Adaptive Layer Mapping Knowledge Distillation for LLMs. | Xu Baizhou, Zhilin Yang, Niu Xin, Zhaoning Zhang, Huang Zheng, Linbo Qiao, Yafei Qi |
| 2023 | ACL | Prompt-Based Metric Learning for Few-Shot NER. | Yanru Chen, Yanan Zheng, Zhilin Yang |
| 2023 | ACL | A Universal Discriminator for Zero-Shot Generalization. | Haike Xu, Zongyu Lin, Jing Zhou, Yanan Zheng, Zhilin Yang |
| 2023 | ICLR | Compositional Task Representations for Large Language Models. | Nan Shao, Zefan Cai, Hanwei Xu, Chonghua Liao, Yanan Zheng, Zhilin Yang |
| 2023 | ICLR | Not All Tasks Are Born Equal: Understanding Zero-Shot Generalization. | Jing Zhou, Zongyu Lin, Yanan Zheng, Jian Li, Zhilin Yang |
| 2023 | KDD | 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 |
| 2022 | ACL | GLM: General Language Model Pretraining with Autoregressive Blank Infilling. | Zhengxiao Du, Yujie Qian, Xiao Liu, Ming Ding, Jiezhong Qiu, Zhilin Yang, Jie Tang |
| 2022 | ACL | 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 |
| 2022 | ACL | 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 |
| 2022 | ACL | FlipDA: Effective and Robust Data Augmentation for Few-Shot Learning. | Jing Zhou, Yanan Zheng, Jie Tang, Li Jian, Zhilin Yang |
| 2022 | EMNLP | 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 |
| 2022 | EMNLP | GPS: Genetic Prompt Search for Efficient Few-Shot Learning. | Hanwei Xu, Yujun Chen, Yulun Du, Nan Shao, Yanggang Wang, Haiyu Li, Zhilin Yang |
| 2022 | EMNLP | ZeroPrompt: Scaling Prompt-Based Pretraining to 1, 000 Tasks Improves Zero-Shot Generalization. | Hanwei Xu, Yujun Chen, Yulun Du, Nan Shao, Yanggang Wang, Haiyu Li, Zhilin Yang |
| 2022 | ICML | NLP From Scratch Without Large-Scale Pretraining: A Simple and Efficient Framework. | Xingcheng Yao, Yanan Zheng, Xiaocong Yang, Zhilin Yang |
| 2021 | AAAI | Distribution Matching for Rationalization. | Yongfeng Huang, Yujun Chen, Yulun Du, Zhilin Yang |
| 2021 | KDD | The International Workshop on Pretraining: Algorithms, Architectures, and Applications ([email protected] 2021). | Ming Ding, Yuxiao Dong, Xiao Liu, Jiezhong Qiu, Jie Tang, Zhilin Yang |
| 2021 | KDD | Controllable Generation from Pre-trained Language Models via Inverse Prompting. | Xu Zou, Da Yin, Qingyang Zhong, Hongxia Yang, Zhilin Yang, Jie Tang |
| 2019 | ACL | Transformer-XL: Attentive Language Models beyond a Fixed-Length Context. | Zihang Dai, Zhilin Yang, Yiming Yang, Jaime G. Carbonell, Quoc Viet Le, Ruslan Salakhutdinov |
| 2018 | EMNLP | Neural Cross-lingual Named Entity Recognition with Minimal Resources. | Jiateng Xie, Zhilin Yang, Graham Neubig, Noah A. Smith, Jaime G. Carbonell |
| 2018 | EMNLP | 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 |
| 2018 | ICLR | Breaking the Softmax Bottleneck: A High-Rank RNN Language Model. | Zhilin Yang, Zihang Dai, Ruslan Salakhutdinov, William W. Cohen |
| 2018 | ICLR | 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 |
| 2018 | NAACL | Neural Models for Reasoning over Multiple Mentions Using Coreference. | Bhuwan Dhingra, Qiao Jin, Zhilin Yang, William W. Cohen, Ruslan Salakhutdinov |
| 2017 | ACL | Gated-Attention Readers for Text Comprehension. | Bhuwan Dhingra, Hanxiao Liu, Zhilin Yang, William W. Cohen, Ruslan Salakhutdinov |
| 2017 | ACL | Semi-Supervised QA with Generative Domain-Adaptive Nets. | Zhilin Yang, Junjie Hu, Ruslan Salakhutdinov, William W. Cohen |
| 2017 | ICLR | Words or Characters? Fine-grained Gating for Reading Comprehension. | Zhilin Yang, Bhuwan Dhingra, Ye Yuan, Junjie Hu, William W. Cohen, Ruslan Salakhutdinov |
| 2017 | ICLR | Transfer Learning for Sequence Tagging with Hierarchical Recurrent Networks. | Zhilin Yang, Ruslan Salakhutdinov, William W. Cohen |
| 2016 | ICML | Revisiting Semi-Supervised Learning with Graph Embeddings. | Zhilin Yang, William W. Cohen, Ruslan Salakhutdinov |
| 2016 | IJCAI | Multi-Modal Bayesian Embeddings for Learning Social Knowledge Graphs. | Zhilin Yang, Jie Tang, William W. Cohen |
| 2015 | KDD | COSNET: Connecting Heterogeneous Social Networks with Local and Global Consistency. | Yutao Zhang, Jie Tang, Zhilin Yang, Jian Pei, Philip S. Yu |
| 2014 | CIKM | Active Learning for Streaming Networked Data. | Zhilin Yang, Jie Tang, Yutao Zhang |
| 2014 | WSDM | Active learning for networked data based on non-progressive diffusion model. | Zhilin Yang, Jie Tang, Bin Xu, Chunxiao Xing |
| 2013 | KDD | 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 |