The Acquisition of Chinese Ergative Verbs and the Verification of Relevant Rules in Semantic Role Labeling. - Mengxiang Wang; Yang Liu 124; Houfeng Wang; Longkai Zhang (CLSW, 2013)

The Processing of Dummy Verbs in Semantic Role Labeling. - Mengxiang Wang; Yang Liu 124; Houfeng Wang (CLSW, 2014)

A Novel Neural Topic Model and Its Supervised Extension. - Ziqiang Cao; Sujian Li; Yang Liu 124; Wenjie Li 002; Heng Ji 001 (AAAI, 2015)

A Dependency-Based Neural Network for Relation Classification. - Yang Liu 124; Furu Wei; Sujian Li; Heng Ji 001; Ming Zhou 001; Houfeng Wang (ACL (2), 2015)

A Neural Network Based Translation Constrained Reranking Model for Chinese Dependency Parsing. - Miaohong Chen; Baobao Chang; Yang Liu 124 (CCL, 2015)

Implicit Discourse Relation Classification via Multi-Task Neural Networks. - Yang Liu 124; Sujian Li; Xiaodong Zhang 022; Zhifang Sui (AAAI, 2016)

Recognizing Implicit Discourse Relations via Repeated Reading: Neural Networks with Multi-Level Attention. - Yang Liu 124; Sujian Li (EMNLP, 2016)

A User Adaptive Model for Followee Recommendation on Twitter. - Yang Liu 124; Xuan Chen; Sujian Li; Liang Wang 046 (NLPCC/ICCPOL, 2016)

Relation Classification Via Modeling Augmented Dependency Paths. - Yang Liu 124; Sujian Li; Furu Wei; Heng Ji 001 (IEEE ACM Trans. Audio Speech Lang. Process., 2016)

Learning Contextually Informed Representations for Linear-Time Discourse Parsing. - Yang Liu 124; Mirella Lapata (EMNLP, 2017)

Twitter summarization with social-temporal context. - Ruifang He; Yang Liu 124; Guangchuan Yu; Jiliang Tang; Qinghua Hu; Jianwu Dang 001 (World Wide Web, 2017)

Structured Alignment Networks for Matching Sentences. - Yang Liu 124; Matt Gardner 001; Mirella Lapata (EMNLP, 2018)

Learning Structured Text Representations. - Yang Liu 124; Mirella Lapata (Trans. Assoc. Comput. Linguistics, 2018)

Dependency Grammar Induction with a Neural Variational Transition-Based Parser. - Bowen Li 002; Jianpeng Cheng 001; Yang Liu 124; Frank Keller (AAAI, 2019)

Hierarchical Transformers for Multi-Document Summarization. - Yang Liu 124; Mirella Lapata (ACL (1), 2019)

Generating Summaries with Topic Templates and Structured Convolutional Decoders. - Laura Perez-Beltrachini; Yang Liu 124; Mirella Lapata (ACL (1), 2019)

Text Summarization with Pretrained Encoders. - Yang Liu 124; Mirella Lapata (EMNLP/IJCNLP (1), 2019)

Single Document Summarization as Tree Induction. - Yang Liu 124; Ivan Titov 001; Mirella Lapata (NAACL-HLT (1), 2019)

Fine-tune BERT for Extractive Summarization. - Yang Liu 124 (CoRR, 2019)

Fusing Context Into Knowledge Graph for Commonsense Reasoning. - Yichong Xu; Chenguang Zhu 001; Ruochen Xu; Yang Liu 124; Michael Zeng 001; Xuedong Huang 001 (CoRR, 2020)

DialogSum: A Real-Life Scenario Dialogue Summarization Dataset. - Yulong Chen 001; Yang Liu 124; Liang Chen; Yue Zhang 004 (ACL/IJCNLP (Findings), 2021)

Retrieval Enhanced Model for Commonsense Generation. - Han Wang; Yang Liu 124; Chenguang Zhu 001; Linjun Shou; Ming Gong 001; Yichong Xu; Michael Zeng 001 (ACL/IJCNLP (Findings), 2021)

Fusing Context Into Knowledge Graph for Commonsense Question Answering. - Yichong Xu; Chenguang Zhu 001; Ruochen Xu; Yang Liu 124; Michael Zeng 001; Xuedong Huang 001 (ACL/IJCNLP (Findings), 2021)

Want To Reduce Labeling Cost? GPT-3 Can Help. - Shuohang Wang; Yang Liu 124; Yichong Xu; Chenguang Zhu 001; Michael Zeng 001 (EMNLP (Findings), 2021)

DialogSum Challenge: Summarizing Real-Life Scenario Dialogues. - Yulong Chen 001; Yang Liu 124; Yue Zhang 004 (INLG, 2021)

Noisy Self-Knowledge Distillation for Text Summarization. - Yang Liu 124; Sheng Shen 001; Mirella Lapata (NAACL-HLT, 2021)

Decompose, Fuse and Generate: A Formation-Informed Method for Chinese Definition Generation. - Hua Zheng; Damai Dai; Lei Li 039; Tianyu Liu 001; Zhifang Sui; Baobao Chang; Yang Liu 124 (NAACL-HLT, 2021)

QMSum: A New Benchmark for Query-based Multi-domain Meeting Summarization. - Ming Zhong 005; Da Yin; Tao Yu 009; Ahmad Zaidi; Mutethia Mutuma; Rahul Jha; Ahmed Hassan Awadallah; Asli Celikyilmaz; Yang Liu 124; Xipeng Qiu; Dragomir R. Radev (NAACL-HLT, 2021)

MediaSum: A Large-scale Media Interview Dataset for Dialogue Summarization. - Chenguang Zhu 001; Yang Liu 124; Jie Mei; Michael Zeng 001 (NAACL-HLT, 2021)

DialogSumm: A Real-Life Scenario Dialogue Summarization Dataset. - Yulong Chen 001; Yang Liu 124; Liang Chen; Yue Zhang 004 (CoRR, 2021)

DialogLM: Pre-trained Model for Long Dialogue Understanding and Summarization. - Ming Zhong 005; Yang Liu 124; Yichong Xu; Chenguang Zhu 001; Michael Zeng 001 (AAAI, 2022)

End-to-End Segmentation-based News Summarization. - Yang Liu 124; Chenguang Zhu 001; Michael Zeng 001 (ACL (Findings), 2022)

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 124; Siqi Sun; Ruochen Xu; Chenguang Zhu 001; Michael Zeng 001 (ACL (1), 2022)

AdaPrompt: Adaptive Model Training for Prompt-based NLP. - Yulong Chen 001; Yang Liu 124; Li Dong; Shuohang Wang; Chenguang Zhu 001; Michael Zeng 001; Yue Zhang 004 (EMNLP (Findings), 2022)

Task Compass: Scaling Multi-task Pre-training with Task Prefix. - Zhuosheng Zhang 001; Shuohang Wang; Yichong Xu; Yuwei Fang; Wenhao Yu 002; Yang Liu 124; Hai Zhao 001; Chenguang Zhu 001; Michael Zeng 001 (EMNLP (Findings), 2022)

ParaTag: A Dataset of Paraphrase Tagging for Fine-Grained Labels, NLG Evaluation, and Data Augmentation. - Shuohang Wang; Ruochen Xu; Yang Liu 124; Chenguang Zhu 001; Michael Zeng 001 (EMNLP, 2022)

Unsupervised Multi-Granularity Summarization. - Ming Zhong 005; Yang Liu 124; Suyu Ge; Yuning Mao; Yizhu Jiao; Xingxing Zhang; Yichong Xu; Chenguang Zhu 001; Michael Zeng 001; Jiawei Han 001 (EMNLP (Findings), 2022)

Rule-based Logical Reasoning Knowledge Extraction of Chinese Legislative Text. - Li Li; Houfeng Wang; Yang Liu 124 (IALP, 2022)

Unsupervised Summarization with Customized Granularities. - Ming Zhong 005; Yang Liu 124; Suyu Ge; Yuning Mao; Yizhu Jiao; Xingxing Zhang; Yichong Xu; Chenguang Zhu 001; Michael Zeng 001; Jiawei Han 001 (CoRR, 2022)

DialogSum Challenge: Results of the Dialogue Summarization Shared Task. - Yulong Chen 001; Naihao Deng; Yang Liu 124; Yue Zhang 004 (CoRR, 2022)

Z-Code++: A Pre-trained Language Model Optimized for Abstractive Summarization. - Pengcheng He; Baolin Peng; Liyang Lu; Song Wang 012; Jie Mei; Yang Liu 124; Ruochen Xu; Hany Hassan Awadalla; Yu Shi 001; Chenguang Zhu 001; Wayne Xiong; Michael Zeng 001; et al. (CoRR, 2022)

Towards a Unified Multi-Dimensional Evaluator for Text Generation. - Ming Zhong 005; Yang Liu 124; Da Yin; Yuning Mao; Yizhu Jiao; Pengfei Liu 003; Chenguang Zhu 001; Heng Ji 001; Jiawei Han 001 (CoRR, 2022)

UniSumm: Unified Few-shot Summarization with Multi-Task Pre-Training and Prefix-Tuning. - Yulong Chen 001; Yang Liu 124; Ruochen Xu; Ziyi Yang; Chenguang Zhu 001; Michael Zeng 001; Yue Zhang 004 (CoRR, 2022)

Attend to the Right Context: A Plug-and-Play Module for Content-Controllable Summarization. - Wen Xiao; Lesly Miculicich; Yang Liu 124; Pengcheng He; Giuseppe Carenini (CoRR, 2022)

UniSumm and SummZoo: Unified Model and Diverse Benchmark for Few-Shot Summarization. - Yulong Chen 001; Yang Liu 124; Ruochen Xu; Ziyi Yang; Chenguang Zhu 001; Michael Zeng 001; Yue Zhang 004 (ACL (1), 2023)

Z-Code++: A Pre-trained Language Model Optimized for Abstractive Summarization. - Pengcheng He; Baolin Peng; Song Wang 012; Yang Liu 124; Ruochen Xu; Hany Hassan; Yu Shi 001; Chenguang Zhu 001; Wayne Xiong; Michael Zeng 001; Jianfeng Gao 001; Xuedong Huang 001 (ACL (1), 2023)

Progressive Translation: Improving Domain Robustness of Neural Machine Translation with Intermediate Sequences. - Chaojun Wang; Yang Liu 124; Wai Lam (ACL (Findings), 2023)

Unifying Vision, Text, and Layout for Universal Document Processing. - Zineng Tang; Ziyi Yang; Guoxin Wang; Yuwei Fang; Yang Liu 124; Chenguang Zhu 001; Michael Zeng 001; Cha Zhang; Mohit Bansal (CVPR, 2023)

PREME: Preference-based Meeting Exploration through an Interactive Questionnaire. - Negar Arabzadeh; Ali Ahmadvand; Julia Kiseleva; Yang Liu 124; Ahmed Hassan Awadallah; Ming Zhong 005; Milad Shokouhi (EACL (Findings), 2023)

LMGQS: A Large-scale Dataset for Query-focused Summarization. - Ruochen Xu; Song Wang 012; Yang Liu 124; Shuohang Wang; Yichong Xu; Dan Iter; Pengcheng He; Chenguang Zhu 001; Michael Zeng 001 (EMNLP (Findings), 2023)

InheritSumm: A General, Versatile and Compact Summarizer by Distilling from GPT. - Yichong Xu; Ruochen Xu; Dan Iter; Yang Liu 124; Shuohang Wang; Chenguang Zhu 001; Michael Zeng 001 (EMNLP (Findings), 2023)

Auto-Instruct: Automatic Instruction Generation and Ranking for Black-Box Language Models. - Zhihan Zhang 001; Shuohang Wang; Wenhao Yu 002; Yichong Xu; Dan Iter; Qingkai Zeng 001; Yang Liu 124; Chenguang Zhu 001; Meng Jiang 001 (EMNLP (Findings), 2023)

G-Eval: NLG Evaluation using GPT-4 with Better Human Alignment. - Yang Liu 124; Dan Iter; Yichong Xu; Shuohang Wang; Ruochen Xu; Chenguang Zhu 001 (CoRR, 2023)

LMGQS: A Large-scale Dataset for Query-focused Summarization. - Ruochen Xu; Song Wang 012; Yang Liu 124; Shuohang Wang; Yichong Xu; Dan Iter; Chenguang Zhu 001; Michael Zeng 001 (CoRR, 2023)

PEARL: Prompting Large Language Models to Plan and Execute Actions Over Long Documents. - Simeng Sun; Yang Liu 124; Shuohang Wang; Chenguang Zhu 001; Mohit Iyyer (CoRR, 2023)

The Shifted and The Overlooked: A Task-oriented Investigation of User-GPT Interactions. - Siru Ouyang; Shuohang Wang; Yang Liu 124; Ming Zhong 005; Yizhu Jiao; Dan Iter; Reid Pryzant; Chenguang Zhu 001; Heng Ji 001; Jiawei Han 001 (CoRR, 2023)

MACSum: Controllable Summarization with Mixed Attributes. - Yusen Zhang 001; Yang Liu 124; Ziyi Yang; Yuwei Fang; Yulong Chen 001; Dragomir Radev; Chenguang Zhu 001; Michael Zeng 001; Rui Zhang 037 (Trans. Assoc. Comput. Linguistics, 2023)

Small Models are Valuable Plug-ins for Large Language Models. - Canwen Xu; Yichong Xu; Shuohang Wang; Yang Liu 124; Chenguang Zhu 001; Julian J. McAuley (ACL (Findings), 2024)

How Does In-Context Learning Help Prompt Tuning? - Simeng Sun; Yang Liu 124; Dan Iter; Chenguang Zhu 001; Mohit Iyyer (EACL (Findings), 2024)

PEARL: Prompting Large Language Models to Plan and Execute Actions Over Long Documents. - Simeng Sun; Yang Liu 124; Shuohang Wang; Dan Iter; Chenguang Zhu 001; Mohit Iyyer (EACL (1), 2024)

See What LLMs Cannot Answer: A Self-Challenge Framework for Uncovering LLM Weaknesses. - Yulong Chen 001; Yang Liu 124; Jianhao Yan; Xuefeng Bai 001; Ming Zhong 005; Yinghao Yang; Ziyi Yang; Chenguang Zhu 001; Yue Zhang 004 (CoRR, 2024)

Efficiently Editing Mixture-of-Experts Models with Compressed Experts. - Yifei He; Yang Liu 124; Chen Liang; Hany Hassan Awadalla (CoRR, 2025)