Yang Liu

According to our database, Yang Liu authored at least 61 papers between 2013 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

See What LLMs Cannot Answer: A Self-Challenge Framework for Uncovering LLM Weaknesses.

Yulong Chen, Yang Liu, Jianhao Yan, Xuefeng Bai, Ming Zhong, Yinghao Yang, Ziyi Yang, Chenguang Zhu, Yue Zhang

CoRR, 2024

PEARL: Prompting Large Language Models to Plan and Execute Actions Over Long Documents.

Simeng Sun, Yang Liu, Shuohang Wang, Dan Iter, Chenguang Zhu, Mohit Iyyer

Proceedings of the 18th Conference of the European Chapter of the Association for Computational Linguistics, 2024

How Does In-Context Learning Help Prompt Tuning?

Simeng Sun, Yang Liu, Dan Iter, Chenguang Zhu, Mohit Iyyer

Proceedings of the Findings of the Association for Computational Linguistics: EACL 2024, 2024

Small Models are Valuable Plug-ins for Large Language Models.

Canwen Xu, Yichong Xu, Shuohang Wang, Yang Liu, Chenguang Zhu, Julian J. McAuley

Proceedings of the Findings of the Association for Computational Linguistics, 2024

2023

MACSum: Controllable Summarization with Mixed Attributes.

Yusen Zhang, Yang Liu, Ziyi Yang, Yuwei Fang, Yulong Chen, Dragomir Radev, Chenguang Zhu, Michael Zeng, Rui Zhang

Trans. Assoc. Comput. Linguistics, 2023

The Shifted and The Overlooked: A Task-oriented Investigation of User-GPT Interactions.

Siru Ouyang, Shuohang Wang, Yang Liu, Ming Zhong, Yizhu Jiao, Dan Iter, Reid Pryzant, Chenguang Zhu, Heng Ji, Jiawei Han

CoRR, 2023

PEARL: Prompting Large Language Models to Plan and Execute Actions Over Long Documents.

Simeng Sun, Yang Liu, Shuohang Wang, Chenguang Zhu, Mohit Iyyer

CoRR, 2023

LMGQS: A Large-scale Dataset for Query-focused Summarization.

Ruochen Xu, Song Wang, Yang Liu, Shuohang Wang, Yichong Xu, Dan Iter, Chenguang Zhu, Michael Zeng

CoRR, 2023

G-Eval: NLG Evaluation using GPT-4 with Better Human Alignment.

Yang Liu, Dan Iter, Yichong Xu, Shuohang Wang, Ruochen Xu, Chenguang Zhu

CoRR, 2023

Auto-Instruct: Automatic Instruction Generation and Ranking for Black-Box Language Models.

Zhihan Zhang, Shuohang Wang, Wenhao Yu, Yichong Xu, Dan Iter, Qingkai Zeng, Yang Liu, Chenguang Zhu, Meng Jiang

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

InheritSumm: A General, Versatile and Compact Summarizer by Distilling from GPT.

Yichong Xu, Ruochen Xu, Dan Iter, Yang Liu, Shuohang Wang, Chenguang Zhu, Michael Zeng

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

LMGQS: A Large-scale Dataset for Query-focused Summarization.

Ruochen Xu, Song Wang, Yang Liu, Shuohang Wang, Yichong Xu, Dan Iter, Pengcheng He, Chenguang Zhu, Michael Zeng

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

PREME: Preference-based Meeting Exploration through an Interactive Questionnaire.

Negar Arabzadeh, Ali Ahmadvand, Julia Kiseleva, Yang Liu, Ahmed Hassan Awadallah, Ming Zhong, Milad Shokouhi

Proceedings of the Findings of the Association for Computational Linguistics: EACL 2023, 2023

Unifying Vision, Text, and Layout for Universal Document Processing.

Zineng Tang, Ziyi Yang, Guoxin Wang, Yuwei Fang, Yang Liu, Chenguang Zhu, Michael Zeng, Cha Zhang, Mohit Bansal

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

Progressive Translation: Improving Domain Robustness of Neural Machine Translation with Intermediate Sequences.

Chaojun Wang, Yang Liu, Wai Lam

Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

Z-Code++: A Pre-trained Language Model Optimized for Abstractive Summarization.

Pengcheng He, Baolin Peng, Song Wang, Yang Liu, Ruochen Xu, Hany Hassan, Yu Shi, Chenguang Zhu, Wayne Xiong, Michael Zeng, Jianfeng Gao, Xuedong Huang

Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

UniSumm and SummZoo: Unified Model and Diverse Benchmark for Few-Shot Summarization.

Yulong Chen, Yang Liu, Ruochen Xu, Ziyi Yang, Chenguang Zhu, Michael Zeng, Yue Zhang

Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

2022

Attend to the Right Context: A Plug-and-Play Module for Content-Controllable Summarization.

Wen Xiao, Lesly Miculicich, Yang Liu, Pengcheng He, Giuseppe Carenini

CoRR, 2022

UniSumm: Unified Few-shot Summarization with Multi-Task Pre-Training and Prefix-Tuning.

Yulong Chen, Yang Liu, Ruochen Xu, Ziyi Yang, Chenguang Zhu, Michael Zeng, Yue Zhang

CoRR, 2022

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

CoRR, 2022

Z-Code++: A Pre-trained Language Model Optimized for Abstractive Summarization.

Pengcheng He, Baolin Peng, Liyang Lu, Song Wang, Jie Mei, Yang Liu, Ruochen Xu, Hany Hassan Awadalla, Yu Shi, Chenguang Zhu, Wayne Xiong, Michael Zeng, Jianfeng Gao, Xuedong Huang

CoRR, 2022

DialogSum Challenge: Results of the Dialogue Summarization Shared Task.

Yulong Chen, Naihao Deng, Yang Liu, Yue Zhang

CoRR, 2022

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

CoRR, 2022

Rule-based Logical Reasoning Knowledge Extraction of Chinese Legislative Text.

Li Li, Houfeng Wang, Yang Liu

Proceedings of the International Conference on Asian Language Processing, 2022

Unsupervised Multi-Granularity Summarization.

Ming Zhong, Yang Liu, Suyu Ge, Yuning Mao, Yizhu Jiao, Xingxing Zhang, Yichong Xu, Chenguang Zhu, Michael Zeng, Jiawei Han

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2022, 2022

ParaTag: A Dataset of Paraphrase Tagging for Fine-Grained Labels, NLG Evaluation, and Data Augmentation.

Shuohang Wang, Ruochen Xu, Yang Liu, Chenguang Zhu, Michael Zeng

Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

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

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2022, 2022

AdaPrompt: Adaptive Model Training for Prompt-based NLP.

Yulong Chen, Yang Liu, Li Dong, Shuohang Wang, Chenguang Zhu, Michael Zeng, Yue Zhang

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2022, 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, Siqi Sun, Ruochen Xu, Chenguang Zhu, Michael Zeng

Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2022

End-to-End Segmentation-based News Summarization.

Yang Liu, Chenguang Zhu, Michael Zeng

Proceedings of the Findings of the Association for Computational Linguistics: ACL 2022, 2022

DialogLM: Pre-trained Model for Long Dialogue Understanding and Summarization.

Ming Zhong, Yang Liu, Yichong Xu, Chenguang Zhu, Michael Zeng

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021

DialogSumm: A Real-Life Scenario Dialogue Summarization Dataset.

Yulong Chen, Yang Liu, Liang Chen, Yue Zhang

CoRR, 2021

MediaSum: A Large-scale Media Interview Dataset for Dialogue Summarization.

Chenguang Zhu, Yang Liu, Jie Mei, Michael Zeng

Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 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 R. Radev

Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2021

Decompose, Fuse and Generate: A Formation-Informed Method for Chinese Definition Generation.

Hua Zheng, Damai Dai, Lei Li, Tianyu Liu, Zhifang Sui, Baobao Chang, Yang Liu

Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2021

Noisy Self-Knowledge Distillation for Text Summarization.

Yang Liu, Sheng Shen, Mirella Lapata

Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2021

DialogSum Challenge: Summarizing Real-Life Scenario Dialogues.

Yulong Chen, Yang Liu, Yue Zhang

Proceedings of the 14th International Conference on Natural Language Generation, 2021

Want To Reduce Labeling Cost? GPT-3 Can Help.

Shuohang Wang, Yang Liu, Yichong Xu, Chenguang Zhu, Michael Zeng

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2021, 2021

Fusing Context Into Knowledge Graph for Commonsense Question Answering.

Yichong Xu, Chenguang Zhu, Ruochen Xu, Yang Liu, Michael Zeng, Xuedong Huang

Proceedings of the Findings of the Association for Computational Linguistics: ACL/IJCNLP 2021, 2021

Retrieval Enhanced Model for Commonsense Generation.

Han Wang, Yang Liu, Chenguang Zhu, Linjun Shou, Ming Gong, Yichong Xu, Michael Zeng

Proceedings of the Findings of the Association for Computational Linguistics: ACL/IJCNLP 2021, 2021

DialogSum: A Real-Life Scenario Dialogue Summarization Dataset.

Yulong Chen, Yang Liu, Liang Chen, Yue Zhang

Proceedings of the Findings of the Association for Computational Linguistics: ACL/IJCNLP 2021, 2021

2020

Fusing Context Into Knowledge Graph for Commonsense Reasoning.

Yichong Xu, Chenguang Zhu, Ruochen Xu, Yang Liu, Michael Zeng, Xuedong Huang

CoRR, 2020

2019

Fine-tune BERT for Extractive Summarization.

Yang Liu

CoRR, 2019

Single Document Summarization as Tree Induction.

Yang Liu, Ivan Titov, Mirella Lapata

Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2019

Text Summarization with Pretrained Encoders.

Yang Liu, Mirella Lapata

Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, 2019

Generating Summaries with Topic Templates and Structured Convolutional Decoders.

Laura Perez-Beltrachini, Yang Liu, Mirella Lapata

Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019

Hierarchical Transformers for Multi-Document Summarization.

Yang Liu, Mirella Lapata

Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019

Dependency Grammar Induction with a Neural Variational Transition-Based Parser.

Bowen Li, Jianpeng Cheng, Yang Liu, Frank Keller

Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2018

Learning Structured Text Representations.

Yang Liu, Mirella Lapata

Trans. Assoc. Comput. Linguistics, 2018

Structured Alignment Networks for Matching Sentences.

Yang Liu, Matt Gardner, Mirella Lapata

Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, Brussels, Belgium, October 31, 2018

2017

Twitter summarization with social-temporal context.

Ruifang He, Yang Liu, Guangchuan Yu, Jiliang Tang, Qinghua Hu, Jianwu Dang

World Wide Web, 2017

Learning Contextually Informed Representations for Linear-Time Discourse Parsing.

Yang Liu, Mirella Lapata

Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing, 2017

2016

Relation Classification Via Modeling Augmented Dependency Paths.

Yang Liu, Sujian Li, Furu Wei, Heng Ji

IEEE ACM Trans. Audio Speech Lang. Process., 2016

A User Adaptive Model for Followee Recommendation on Twitter.

Yang Liu, Xuan Chen, Sujian Li, Liang Wang

Proceedings of the Natural Language Understanding and Intelligent Applications, 2016

Recognizing Implicit Discourse Relations via Repeated Reading: Neural Networks with Multi-Level Attention.

Yang Liu, Sujian Li

Proceedings of the 2016 Conference on Empirical Methods in Natural Language Processing, 2016

Implicit Discourse Relation Classification via Multi-Task Neural Networks.

Yang Liu, Sujian Li, Xiaodong Zhang, Zhifang Sui

Proceedings of the Thirtieth AAAI Conference on Artificial Intelligence, 2016

2015

A Neural Network Based Translation Constrained Reranking Model for Chinese Dependency Parsing.

Miaohong Chen, Baobao Chang, Yang Liu

Proceedings of the Chinese Computational Linguistics and Natural Language Processing Based on Naturally Annotated Big Data, 2015

A Dependency-Based Neural Network for Relation Classification.

Yang Liu, Furu Wei, Sujian Li, Heng Ji, Ming Zhou, Houfeng Wang

Proceedings of the 53rd Annual Meeting of the Association for Computational Linguistics and the 7th International Joint Conference on Natural Language Processing of the Asian Federation of Natural Language Processing, 2015

A Novel Neural Topic Model and Its Supervised Extension.

Ziqiang Cao, Sujian Li, Yang Liu, Wenjie Li, Heng Ji

Proceedings of the Twenty-Ninth AAAI Conference on Artificial Intelligence, 2015

2014

The Processing of Dummy Verbs in Semantic Role Labeling.

Mengxiang Wang, Yang Liu, Houfeng Wang

Proceedings of the Chinese Lexical Semantics - 15th Workshop, 2014

2013

The Acquisition of Chinese Ergative Verbs and the Verification of Relevant Rules in Semantic Role Labeling.

Mengxiang Wang, Yang Liu, Houfeng Wang, Longkai Zhang

Proceedings of the Chinese Lexical Semantics - 14th Workshop, 2013