I am a Principal Researcher at Microsoft GenAI working on Large Language Models. I received my PhD degree from University of Edinburgh in 2020, under supvervision of Prof. Mirella Lapata.
Samba: Simple Hybrid State Space Models for Efficient Unlimited Context Language Modeling
Liliang Ren, Yang Liu, Yadong Lu, Yelong Shen, Chen Liang, Weizhu Chen
Sparse Modular Activation for Efficient Sequence Modeling
Liliang Ren, Yang Liu, Shuohang Wang, Yichong Xu, Chenguang Zhu, ChengXiang Zhai Neurips 2023
G-Eval: NLG Evaluation using GPT-4 with Better Human Alignment
Yang Liu, Dan Iter, Yichong Xu, Shuohang Wang, Ruochen Xu, Chenguang Zhu EMNLP 2023
Task Compass: Scaling Multi-task Pre-training with Task Prefix
Zhuosheng Zhang, Shuohang Wang, Yichong Xu, Yuwei Fang, Wenhao Yu, Yang Liu, Hai Zhao, Chenguang Zhu, Michael Zeng. EMNLP 2022 findings
Towards a Unified Multi-Dimensional Evaluator for Text Generation
Ming Zhong, Yang Liu, Da Yin, Yuning Mao, Yizhu Jiao, Pengfei Liu, Chenguang Zhu, Heng Ji, Jiawei Han. EMNLP 2022
AdaPrompt: Adaptive Model Training for Prompt-based NLP
Yulong Chen, Yang Liu, Li Dong, Shuohang Wang, Chenguang Zhu, Michael Zeng and Yue Zhang. EMNLP 2022 findings.
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. EMNLP 2022 findings.
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.
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. NAACL 2021. (* indicates equal contribution) [dataset]
Noisy Self-Knowledge Distillation for Text Summarization
Yang Liu, Sheng Shen and Mirella Lapata. 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. 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]