Остановите войну!
for scientists:
default search action
Yang Liu 0124
- > Home > Persons > Yang Liu 0124
Publications
- 2024
- [c36]Simeng Sun, Yang Liu, Dan Iter, Chenguang Zhu, Mohit Iyyer:
How Does In-Context Learning Help Prompt Tuning? EACL (Findings) 2024: 156-165 - [c35]Simeng Sun, Yang Liu, Shuohang Wang, Dan Iter, Chenguang Zhu, Mohit Iyyer:
PEARL: Prompting Large Language Models to Plan and Execute Actions Over Long Documents. EACL (1) 2024: 469-486 - 2023
- [c34]Pengcheng He, Baolin Peng, Song Wang, Yang Liu, Ruochen Xu, Hany Hassan, Yu Shi, Chenguang Zhu, Wayne Xiong, Michael Zeng, Jianfeng Gao, Xuedong Huang:
Z-Code++: A Pre-trained Language Model Optimized for Abstractive Summarization. ACL (1) 2023: 5095-5112 - [c33]Chaojun Wang, Yang Liu, Wai Lam:
Progressive Translation: Improving Domain Robustness of Neural Machine Translation with Intermediate Sequences. ACL (Findings) 2023: 9425-9439 - [c32]Zineng Tang, Ziyi Yang, Guoxin Wang, Yuwei Fang, Yang Liu, Chenguang Zhu, Michael Zeng, Cha Zhang, Mohit Bansal:
Unifying Vision, Text, and Layout for Universal Document Processing. CVPR 2023: 19254-19264 - [c31]Negar Arabzadeh, Ali Ahmadvand, Julia Kiseleva, Yang Liu, Ahmed Hassan Awadallah, Ming Zhong, Milad Shokouhi:
PREME: Preference-based Meeting Exploration through an Interactive Questionnaire. EACL (Findings) 2023: 331-342 - [c30]Yichong Xu, Ruochen Xu, Dan Iter, Yang Liu, Shuohang Wang, Chenguang Zhu, Michael Zeng:
InheritSumm: A General, Versatile and Compact Summarizer by Distilling from GPT. EMNLP (Findings) 2023: 13879-13892 - [c29]Ruochen Xu, Song Wang, Yang Liu, Shuohang Wang, Yichong Xu, Dan Iter, Pengcheng He, Chenguang Zhu, Michael Zeng:
LMGQS: A Large-scale Dataset for Query-focused Summarization. EMNLP (Findings) 2023: 14764-14776 - [i35]Yang Liu, Dan Iter, Yichong Xu, Shuohang Wang, Ruochen Xu, Chenguang Zhu:
G-Eval: NLG Evaluation using GPT-4 with Better Human Alignment. CoRR abs/2303.16634 (2023) - [i34]Canwen Xu, Yichong Xu, Shuohang Wang, Yang Liu, Chenguang Zhu, Julian J. McAuley:
Small Models are Valuable Plug-ins for Large Language Models. CoRR abs/2305.08848 (2023) - [i33]Chaojun Wang, Yang Liu, Wai Lam:
Progressive Translation: Improving Domain Robustness of Neural Machine Translation with Intermediate Sequences. CoRR abs/2305.09154 (2023) - [i32]Yichong Xu, Ruochen Xu, Dan Iter, Yang Liu, Shuohang Wang, Chenguang Zhu, Michael Zeng:
InheritSumm: A General, Versatile and Compact Summarizer by Distilling from GPT. CoRR abs/2305.13083 (2023) - [i31]Ruochen Xu, Song Wang, Yang Liu, Shuohang Wang, Yichong Xu, Dan Iter, Chenguang Zhu, Michael Zeng:
LMGQS: A Large-scale Dataset for Query-focused Summarization. CoRR abs/2305.13086 (2023) - [i30]Simeng Sun, Yang Liu, Shuohang Wang, Chenguang Zhu, Mohit Iyyer:
PEARL: Prompting Large Language Models to Plan and Execute Actions Over Long Documents. CoRR abs/2305.14564 (2023) - 2022
- [c28]Ming Zhong, Yang Liu, Yichong Xu, Chenguang Zhu, Michael Zeng:
DialogLM: Pre-trained Model for Long Dialogue Understanding and Summarization. AAAI 2022: 11765-11773 - [c27]Yang Liu, Chenguang Zhu, Michael Zeng:
End-to-End Segmentation-based News Summarization. ACL (Findings) 2022: 544-554 - [c26]Shuohang Wang, Yichong Xu, Yuwei Fang, Yang Liu, Siqi Sun, Ruochen Xu, Chenguang Zhu, Michael Zeng:
Training Data is More Valuable than You Think: A Simple and Effective Method by Retrieving from Training Data. ACL (1) 2022: 3170-3179 - [c25]Ming Zhong, Yang Liu, Suyu Ge, Yuning Mao, Yizhu Jiao, Xingxing Zhang, Yichong Xu, Chenguang Zhu, Michael Zeng, Jiawei Han:
Unsupervised Multi-Granularity Summarization. EMNLP (Findings) 2022: 4980-4995 - [c24]Zhuosheng Zhang, Shuohang Wang, Yichong Xu, Yuwei Fang, Wenhao Yu, Yang Liu, Hai Zhao, Chenguang Zhu, Michael Zeng:
Task Compass: Scaling Multi-task Pre-training with Task Prefix. EMNLP (Findings) 2022: 5671-5685 - [c23]Yulong Chen, Yang Liu, Li Dong, Shuohang Wang, Chenguang Zhu, Michael Zeng, Yue Zhang:
AdaPrompt: Adaptive Model Training for Prompt-based NLP. EMNLP (Findings) 2022: 6057-6068 - [c22]Shuohang Wang, Ruochen Xu, Yang Liu, Chenguang Zhu, Michael Zeng:
ParaTag: A Dataset of Paraphrase Tagging for Fine-Grained Labels, NLG Evaluation, and Data Augmentation. EMNLP 2022: 7111-7122 - [i29]Ming Zhong, Yang Liu, Suyu Ge, Yuning Mao, Yizhu Jiao, Xingxing Zhang, Yichong Xu, Chenguang Zhu, Michael Zeng, Jiawei Han:
Unsupervised Summarization with Customized Granularities. CoRR abs/2201.12502 (2022) - [i28]Yulong Chen, Yang Liu, Li Dong, Shuohang Wang, Chenguang Zhu, Michael Zeng, Yue Zhang:
AdaPrompt: Adaptive Model Training for Prompt-based NLP. CoRR abs/2202.04824 (2022) - [i27]Shuohang Wang, Yichong Xu, Yuwei Fang, Yang Liu, Siqi Sun, Ruochen Xu, Chenguang Zhu, Michael Zeng:
Training Data is More Valuable than You Think: A Simple and Effective Method by Retrieving from Training Data. CoRR abs/2203.08773 (2022) - [i26]Negar Arabzadeh, Ali Ahmadvand, Julia Kiseleva, Yang Liu, Ahmed Hassan Awadallah, Ming Zhong, Milad Shokouhi:
PREME: Preference-based Meeting Exploration through an Interactive Questionnaire. CoRR abs/2205.02370 (2022) - [i25]Yulong Chen, Naihao Deng, Yang Liu, Yue Zhang:
DialogSum Challenge: Results of the Dialogue Summarization Shared Task. CoRR abs/2208.03898 (2022) - [i24]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:
Z-Code++: A Pre-trained Language Model Optimized for Abstractive Summarization. CoRR abs/2208.09770 (2022) - [i23]Zhuosheng Zhang, Shuohang Wang, Yichong Xu, Yuwei Fang, Wenhao Yu, Yang Liu, Hai Zhao, Chenguang Zhu, Michael Zeng:
Task Compass: Scaling Multi-task Pre-training with Task Prefix. CoRR abs/2210.06277 (2022) - [i22]Ming Zhong, Yang Liu, Da Yin, Yuning Mao, Yizhu Jiao, Pengfei Liu, Chenguang Zhu, Heng Ji, Jiawei Han:
Towards a Unified Multi-Dimensional Evaluator for Text Generation. CoRR abs/2210.07197 (2022) - [i21]Yusen Zhang, Yang Liu, Ziyi Yang, Yuwei Fang, Yulong Chen, Dragomir Radev, Chenguang Zhu, Michael Zeng, Rui Zhang:
MACSum: Controllable Summarization with Mixed Attributes. CoRR abs/2211.05041 (2022) - [i20]Yulong Chen, Yang Liu, Ruochen Xu, Ziyi Yang, Chenguang Zhu, Michael Zeng, Yue Zhang:
UniSumm: Unified Few-shot Summarization with Multi-Task Pre-Training and Prefix-Tuning. CoRR abs/2211.09783 (2022) - [i19]Zineng Tang, Ziyi Yang, Guoxin Wang, Yuwei Fang, Yang Liu, Chenguang Zhu, Michael Zeng, Cha Zhang, Mohit Bansal:
Unifying Vision, Text, and Layout for Universal Document Processing. CoRR abs/2212.02623 (2022) - [i18]Wen Xiao, Lesly Miculicich, Yang Liu, Pengcheng He, Giuseppe Carenini:
Attend to the Right Context: A Plug-and-Play Module for Content-Controllable Summarization. CoRR abs/2212.10819 (2022) - 2021
- [c21]Yichong Xu, Chenguang Zhu, Ruochen Xu, Yang Liu, Michael Zeng, Xuedong Huang:
Fusing Context Into Knowledge Graph for Commonsense Question Answering. ACL/IJCNLP (Findings) 2021: 1201-1207 - [c20]Han Wang, Yang Liu, Chenguang Zhu, Linjun Shou, Ming Gong, Yichong Xu, Michael Zeng:
Retrieval Enhanced Model for Commonsense Generation. ACL/IJCNLP (Findings) 2021: 3056-3062 - [c19]Yulong Chen, Yang Liu, Liang Chen, Yue Zhang:
DialogSum: A Real-Life Scenario Dialogue Summarization Dataset. ACL/IJCNLP (Findings) 2021: 5062-5074 - [c18]Shuohang Wang, Yang Liu, Yichong Xu, Chenguang Zhu, Michael Zeng:
Want To Reduce Labeling Cost? GPT-3 Can Help. EMNLP (Findings) 2021: 4195-4205 - [c17]Yulong Chen, Yang Liu, Yue Zhang:
DialogSum Challenge: Summarizing Real-Life Scenario Dialogues. INLG 2021: 308-313 - [c16]Hua Zheng, Damai Dai, Lei Li, Tianyu Liu, Zhifang Sui, Baobao Chang, Yang Liu:
Decompose, Fuse and Generate: A Formation-Informed Method for Chinese Definition Generation. NAACL-HLT 2021: 5524-5531 - [c15]Ming Zhong, Da Yin, Tao Yu, Ahmad Zaidi, Mutethia Mutuma, Rahul Jha, Ahmed Hassan Awadallah, Asli Celikyilmaz, Yang Liu, Xipeng Qiu, Dragomir R. Radev:
QMSum: A New Benchmark for Query-based Multi-domain Meeting Summarization. NAACL-HLT 2021: 5905-5921 - [c14]Chenguang Zhu, Yang Liu, Jie Mei, Michael Zeng:
MediaSum: A Large-scale Media Interview Dataset for Dialogue Summarization. NAACL-HLT 2021: 5927-5934 - [i17]Chenguang Zhu, Yang Liu, Jie Mei, Michael Zeng:
MediaSum: A Large-scale Media Interview Dataset for Dialogue Summarization. CoRR abs/2103.06410 (2021) - [i16]Ming Zhong, Da Yin, Tao Yu, Ahmad Zaidi, Mutethia Mutuma, Rahul Jha, Ahmed Hassan Awadallah, Asli Celikyilmaz, Yang Liu, Xipeng Qiu, Dragomir R. Radev:
QMSum: A New Benchmark for Query-based Multi-domain Meeting Summarization. CoRR abs/2104.05938 (2021) - [i15]Yulong Chen, Yang Liu, Liang Chen, Yue Zhang:
DialogSumm: A Real-Life Scenario Dialogue Summarization Dataset. CoRR abs/2105.06762 (2021) - [i14]Han Wang, Yang Liu, Chenguang Zhu, Linjun Shou, Ming Gong, Yichong Xu, Michael Zeng:
Retrieval Enhanced Model for Commonsense Generation. CoRR abs/2105.11174 (2021) - [i13]Shuohang Wang, Yang Liu, Yichong Xu, Chenguang Zhu, Michael Zeng:
Want To Reduce Labeling Cost? GPT-3 Can Help. CoRR abs/2108.13487 (2021) - [i12]Ming Zhong, Yang Liu, Yichong Xu, Chenguang Zhu, Michael Zeng:
DialogLM: Pre-trained Model for Long Dialogue Understanding and Summarization. CoRR abs/2109.02492 (2021) - [i11]Yang Liu, Chenguang Zhu, Michael Zeng:
End-to-End Segmentation-based News Summarization. CoRR abs/2110.07850 (2021) - 2020
- [i10]Yichong Xu, Chenguang Zhu, Ruochen Xu, Yang Liu, Michael Zeng, Xuedong Huang:
Fusing Context Into Knowledge Graph for Commonsense Reasoning. CoRR abs/2012.04808 (2020) - 2019
- [c13]Bowen Li, Jianpeng Cheng, Yang Liu, Frank Keller:
Dependency Grammar Induction with a Neural Variational Transition-Based Parser. AAAI 2019: 6658-6665 - [c12]Yang Liu, Mirella Lapata:
Hierarchical Transformers for Multi-Document Summarization. ACL (1) 2019: 5070-5081 - [c11]Laura Perez-Beltrachini, Yang Liu, Mirella Lapata:
Generating Summaries with Topic Templates and Structured Convolutional Decoders. ACL (1) 2019: 5107-5116 - [c10]Yang Liu, Mirella Lapata:
Text Summarization with Pretrained Encoders. EMNLP/IJCNLP (1) 2019: 3728-3738 - [c9]Yang Liu, Ivan Titov, Mirella Lapata:
Single Document Summarization as Tree Induction. NAACL-HLT (1) 2019: 1745-1755 - [i8]Yang Liu, Mirella Lapata:
Hierarchical Transformers for Multi-Document Summarization. CoRR abs/1905.13164 (2019) - [i7]Laura Perez-Beltrachini, Yang Liu, Mirella Lapata:
Generating Summaries with Topic Templates and Structured Convolutional Decoders. CoRR abs/1906.04687 (2019) - [i6]Yang Liu, Mirella Lapata:
Text Summarization with Pretrained Encoders. CoRR abs/1908.08345 (2019) - 2018
- [j3]Yang Liu, Mirella Lapata:
Learning Structured Text Representations. Trans. Assoc. Comput. Linguistics 6: 63-75 (2018) - [c8]Yang Liu, Matt Gardner, Mirella Lapata:
Structured Alignment Networks for Matching Sentences. EMNLP 2018: 1554-1564 - [i5]Bowen Li, Jianpeng Cheng, Yang Liu, Frank Keller:
Dependency Grammar Induction with a Neural Variational Transition-based Parser. CoRR abs/1811.05889 (2018) - 2017
- [j2]Ruifang He, Yang Liu, Guangchuan Yu, Jiliang Tang, Qinghua Hu, Jianwu Dang:
Twitter summarization with social-temporal context. World Wide Web 20(2): 267-290 (2017) - [c7]Yang Liu, Mirella Lapata:
Learning Contextually Informed Representations for Linear-Time Discourse Parsing. EMNLP 2017: 1289-1298 - [i4]Yang Liu, Mirella Lapata:
Learning Structured Text Representations. CoRR abs/1705.09207 (2017) - 2016
- [j1]Yang Liu, Sujian Li, Furu Wei, Heng Ji:
Relation Classification Via Modeling Augmented Dependency Paths. IEEE ACM Trans. Audio Speech Lang. Process. 24(9): 1589-1598 (2016) - [c6]Yang Liu, Sujian Li, Xiaodong Zhang, Zhifang Sui:
Implicit Discourse Relation Classification via Multi-Task Neural Networks. AAAI 2016: 2750-2756 - [c5]Yang Liu, Sujian Li:
Recognizing Implicit Discourse Relations via Repeated Reading: Neural Networks with Multi-Level Attention. EMNLP 2016: 1224-1233 - [c4]Yang Liu, Xuan Chen, Sujian Li, Liang Wang:
A User Adaptive Model for Followee Recommendation on Twitter. NLPCC/ICCPOL 2016: 425-436 - [i3]Yang Liu, Sujian Li, Xiaodong Zhang, Zhifang Sui:
Implicit Discourse Relation Classification via Multi-Task Neural Networks. CoRR abs/1603.02776 (2016) - [i2]Yang Liu, Sujian Li:
Recognizing Implicit Discourse Relations via Repeated Reading: Neural Networks with Multi-Level Attention. CoRR abs/1609.06380 (2016) - 2015
- [c3]Ziqiang Cao, Sujian Li, Yang Liu, Wenjie Li, Heng Ji:
A Novel Neural Topic Model and Its Supervised Extension. AAAI 2015: 2210-2216 - [c2]Yang Liu, Furu Wei, Sujian Li, Heng Ji, Ming Zhou, Houfeng Wang:
A Dependency-Based Neural Network for Relation Classification. ACL (2) 2015: 285-290 - [c1]Miaohong Chen, Baobao Chang, Yang Liu:
A Neural Network Based Translation Constrained Reranking Model for Chinese Dependency Parsing. CCL 2015: 240-249 - [i1]Yang Liu, Furu Wei, Sujian Li, Heng Ji, Ming Zhou, Houfeng Wang:
A Dependency-Based Neural Network for Relation Classification. CoRR abs/1507.04646 (2015)
manage site settings
To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.
Unpaywalled article links
Add open access links from to the list of external document links (if available).
Privacy notice: By enabling the option above, your browser will contact the API of unpaywall.org to load hyperlinks to open access articles. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Unpaywall privacy policy.
Archived links via Wayback Machine
For web page which are no longer available, try to retrieve content from the of the Internet Archive (if available).
Privacy notice: By enabling the option above, your browser will contact the API of archive.org to check for archived content of web pages that are no longer available. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Internet Archive privacy policy.
Reference lists
Add a list of references from , , and to record detail pages.
load references from crossref.org and opencitations.net
Privacy notice: By enabling the option above, your browser will contact the APIs of crossref.org, opencitations.net, and semanticscholar.org to load article reference information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Crossref privacy policy and the OpenCitations privacy policy, as well as the AI2 Privacy Policy covering Semantic Scholar.
Citation data
Add a list of citing articles from and to record detail pages.
load citations from opencitations.net
Privacy notice: By enabling the option above, your browser will contact the API of opencitations.net and semanticscholar.org to load citation information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the OpenCitations privacy policy as well as the AI2 Privacy Policy covering Semantic Scholar.
OpenAlex data
Load additional information about publications from .
Privacy notice: By enabling the option above, your browser will contact the API of openalex.org to load additional information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the information given by OpenAlex.
last updated on 2024-04-25 05:39 CEST by the dblp team
all metadata released as open data under CC0 1.0 license
see also: Terms of Use | Privacy Policy | Imprint