Publications:

• Training Data is More Valuable than You Think: A Simple and Effective Method by Retrieving from Training Data
  Shuohang Wang, Yichong Xu, Yuwei Fang, Yang Liu, Siqi Sun, Ruochen Xu, Chenguang Zhu and Michael Zeng. ACL 2022.
• AdaPrompt: Adaptive Model Training for Prompt-based NLP
  Yulong Chen, Yang Liu, Li Dong, Shuohang Wang, Chenguang Zhu, Michael Zeng and Yue Zhang. Preprint.
• Unsupervised Summarization with Customized Granularities
  Ming Zhong, Yang Liu, Suyu Ge, Yuning Mao, Yizhu Jiao, Xingxing Zhang, Yichong Xu, Chenguang Zhu, Michael Zeng, Jiawei Han. Preprint.
• DialogLM: Pre-trained Model for Long Dialogue Understanding and Summarization
  Ming Zhong, Yang Liu, Yichong Xu, Chenguang Zhu, Michael Zeng. AAAI 2022.
• Want To Reduce Labeling Cost? GPT-3 Can Help
  Shuohang Wang, Yang Liu, Yichong Xu, Chenguang Zhu, Michael Zeng. EMNLP 2021 findings.
• Retrieval Enhanced Model for Commonsense Generation
  Han Wang, Yang Liu, Chenguang Zhu, Linjun Shou, Ming Gong, Yichong Xu, Michael Zeng. ACL 2021 findings. [code]
• DialogSum: A Real-Life Scenario Dialogue Summarization Dataset
  Yulong Chen , Yang Liu , Liang Chen, Yue Zhang. ACL 2021 findings. [dataset]
• MediaSum: A Large-scale Media Interview Dataset for Dialogue Summarization
  Chenguang Zhu*, Yang Liu*, Jie Mei, Michael Zeng. To appear in NAACL 2021. (* indicates equal contribution) [dataset]
• Noisy Self-Knowledge Distillation for Text Summarization
  Yang Liu, Sheng Shen and Mirella Lapata. To appear in NAACL 2021.
• QMSum: A New Benchmark for Query-based Multi-domain Meeting Summarization
  Ming Zhong, Da Yin, Tao Yu, Ahmad Zaidi, Mutethia Mutuma, Rahul Jha, Ahmed Hassan Awadallah, Asli Celikyilmaz, Yang Liu, Xipeng Qiu, Dragomir Radev. To appear in NAACL 2021.
• Text Summarization with Pretrained Encoders
  Yang Liu and Mirella Lapata. EMNLP 2019. [code] [supplementary material]
• Hierarchical Transformers for Multi-document Summarization
  Yang Liu and Mirella Lapata. ACL 2019. [code]
• Generating Summaries with Topic Templates and Structured Convolutional Decoders
  Laura Perez-Beltrachini, Yang Liu, Mirella Lapata. ACL 2019.
• Fine-tune BERT for Extractive Summarization
  Yang Liu. [code]
• Single Document Summarization as Tree Induction
  Yang Liu, Ivan Titov and Mirella Lapata. NAACL 2019. [code]
• Learning Contextually Informed Representations for Linear-time Discourse Parsing
  Yang Liu and Mirella Lapata. (EMNLP 2017).
• Recognizing Implicit Discourse Relations via Repeated Reading: Neural Networks with Multi-Level Attention
  Yang Liu and Sujian Li. (EMNLP 2016).
• Implicit Discourse Relation Classification via Multi-Task Neural Networks
  Yang Liu and Sujian Li. (AAAI 2016).
• A Dependency-Based Neural Network for Relation Classification
  Yang Liu, Furu Wei, Sujian Li, Heng Ji, and Ming Zhou. (ACL 2015). [Full-Version]
• A Novel Neural Topic Model and Its Supervised Extension
  Cao Ziqiang, Li Sujian, Yang Liu, Li Wenjie and Ji Heng. (AAAI 2015).
• Twitter Summarization with Social-Temporal Context
  Ruifang He, Yang Liu, Guangchuan Yu, Jiliang Tang, Qinghua Hu and Jianwu Dang. (WWWJ).