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Zhengzhong Liu 0001
Person information
- affiliation: Carnegie Mellon University, Pittsburgh, PA, USA
- affiliation: HongKong Polytechnic University, Department of Computing, Hong Kong
Other persons with the same name
- Zhengzhong Liu — disambiguation page
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2020 – today
- 2024
- [i26]Jiannan Xiang, Guangyi Liu, Yi Gu, Qiyue Gao, Yuting Ning, Yuheng Zha, Zeyu Feng, Tianhua Tao, Shibo Hao, Yemin Shi, Zhengzhong Liu, Eric P. Xing, Zhiting Hu:
Pandora: Towards General World Model with Natural Language Actions and Video States. CoRR abs/2406.09455 (2024) - [i25]Sukmin Yun, Haokun Lin, Rusiru Thushara, Mohammad Qazim Bhat, Yongxin Wang, Zutao Jiang, Mingkai Deng, Jinhong Wang, Tianhua Tao, Junbo Li, Haonan Li, Preslav Nakov, Timothy Baldwin, Zhengzhong Liu, Eric P. Xing, Xiaodan Liang, Zhiqiang Shen:
Web2Code: A Large-scale Webpage-to-Code Dataset and Evaluation Framework for Multimodal LLMs. CoRR abs/2406.20098 (2024) - 2023
- [i24]Neha Sengupta, Sunil Kumar Sahu, Bokang Jia, Satheesh Katipomu, Haonan Li, Fajri Koto, Osama Mohammed Afzal, Samta Kamboj, Onkar Pandit, Rahul Pal, Lalit Pradhan, Zain Muhammad Mujahid, Massa Baali, Alham Fikri Aji, Zhengzhong Liu, Andy Hock, Andrew Feldman, Jonathan Lee, Andrew Jackson, Preslav Nakov, Timothy Baldwin, Eric P. Xing:
Jais and Jais-chat: Arabic-Centric Foundation and Instruction-Tuned Open Generative Large Language Models. CoRR abs/2308.16149 (2023) - [i23]Zhiqiang Shen, Tianhua Tao, Liqun Ma, Willie Neiswanger, Zhengzhong Liu, Hongyi Wang, Bowen Tan, Joel Hestness, Natalia Vassilieva, Daria Soboleva, Eric P. Xing:
SlimPajama-DC: Understanding Data Combinations for LLM Training. CoRR abs/2309.10818 (2023) - [i22]Yuxin Pei, Pushkar Bhuse, Zhengzhong Liu, Eric P. Xing:
SegMix: A Simple Structure-Aware Data Augmentation Method. CoRR abs/2311.09505 (2023) - [i21]Zhengzhong Liu, Aurick Qiao, Willie Neiswanger, Hongyi Wang, Bowen Tan, Tianhua Tao, Junbo Li, Yuqi Wang, Suqi Sun, Omkar Pangarkar, Richard Fan, Yi Gu, Victor Miller, Yonghao Zhuang, Guowei He, Haonan Li, Fajri Koto, Liping Tang, Nikhil Ranjan, Zhiqiang Shen, Xuguang Ren, Roberto Iriondo, Cun Mu, Zhiting Hu, Mark Schulze, Preslav Nakov, Tim Baldwin, Eric P. Xing:
LLM360: Towards Fully Transparent Open-Source LLMs. CoRR abs/2312.06550 (2023) - 2022
- [c22]Jiannan Xiang, Zhengzhong Liu, Yucheng Zhou, Eric P. Xing, Zhiting Hu:
ASDOT: Any-Shot Data-to-Text Generation with Pretrained Language Models. EMNLP (Findings) 2022: 1886-1899 - [c21]Han Guo, Bowen Tan, Zhengzhong Liu, Eric P. Xing, Zhiting Hu:
Efficient (Soft) Q-Learning for Text Generation with Limited Good Data. EMNLP (Findings) 2022: 6969-6991 - [i20]Jiannan Xiang, Zhengzhong Liu, Yucheng Zhou, Eric P. Xing, Zhiting Hu:
ASDOT: Any-Shot Data-to-Text Generation with Pretrained Language Models. CoRR abs/2210.04325 (2022) - 2021
- [c20]Adithya Pratapa, Zhengzhong Liu, Kimihiro Hasegawa, Linwei Li, Yukari Yamakawa, Shikun Zhang, Teruko Mitamura:
Cross-document Event Identity via Dense Annotation. CoNLL 2021: 496-517 - [c19]Mingkai Deng, Bowen Tan, Zhengzhong Liu, Eric P. Xing, Zhiting Hu:
Compression, Transduction, and Creation: A Unified Framework for Evaluating Natural Language Generation. EMNLP (1) 2021: 7580-7605 - [i19]Zhengzhong Liu, Guanxiong Ding, Avinash Bukkittu, Mansi Gupta, Pengzhi Gao, Atif Ahmed, Shikun Zhang, Xin Gao, Swapnil Singhavi, Linwei Li, Wei Wei, Zecong Hu, Haoran Shi, Xiaodan Liang, Teruko Mitamura, Eric P. Xing, Zhiting Hu:
A Data-Centric Framework for Composable NLP Workflows. CoRR abs/2103.01834 (2021) - [i18]Han Guo, Bowen Tan, Zhengzhong Liu, Eric P. Xing, Zhiting Hu:
Text Generation with Efficient (Soft) Q-Learning. CoRR abs/2106.07704 (2021) - [i17]Mingkai Deng, Bowen Tan, Zhengzhong Liu, Eric P. Xing, Zhiting Hu:
Compression, Transduction, and Creation: A Unified Framework for Evaluating Natural Language Generation. CoRR abs/2109.06379 (2021) - [i16]Adithya Pratapa, Zhengzhong Liu, Kimihiro Hasegawa, Linwei Li, Yukari Yamakawa, Shikun Zhang, Teruko Mitamura:
Cross-document Event Identity via Dense Annotation. CoRR abs/2109.06417 (2021) - 2020
- [c18]Zhisong Zhang, Xiang Kong, Zhengzhong Liu, Xuezhe Ma
, Eduard H. Hovy:
A Two-Step Approach for Implicit Event Argument Detection. ACL 2020: 7479-7485 - [c17]Zhengzhong Liu, Guanxiong Ding, Avinash Bukkittu, Mansi Gupta, Pengzhi Gao, Atif Ahmed, Shikun Zhang, Xin Gao, Swapnil Singhavi, Linwei Li, Wei Wei, Zecong Hu, Haoran Shi, Xiaodan Liang, Teruko Mitamura, Eric P. Xing, Zhiting Hu:
A Data-Centric Framework for Composable NLP Workflows. EMNLP (Demos) 2020: 197-204
2010 – 2019
- 2019
- [c16]Zhiting Hu, Haoran Shi, Bowen Tan, Wentao Wang, Zichao Yang, Tiancheng Zhao, Junxian He
, Lianhui Qin, Di Wang, Xuezhe Ma, Zhengzhong Liu, Xiaodan Liang, Wanrong Zhu
, Devendra Singh Sachan, Eric P. Xing:
Texar: A Modularized, Versatile, and Extensible Toolkit for Text Generation. ACL (3) 2019: 159-164 - [i15]Eduard H. Hovy, Jaime G. Carbonell, Hans Chalupsky, Anatole Gershman, Alex Hauptmann, Florian Metze, Teruko Mitamura, Zaid Sheikh, Ankit Dangi, Aditi Chaudhary, Xianyang Chen, Xiang Kong, Bernie Huang, Salvador Medina, Hector Liu, Xuezhe Ma, Maria Ryskina, Ramon Sanabria, Varun Gangal:
OPERA: Operations-oriented Probabilistic Extraction, Reasoning, and Analysis. TAC 2019 - 2018
- [c15]Zhengzhong Liu, Teruko Mitamura, Eduard H. Hovy:
Graph Based Decoding for Event Sequencing and Coreference Resolution. COLING 2018: 3645-3657 - [c14]Zhengzhong Liu, Chenyan Xiong, Teruko Mitamura, Eduard H. Hovy:
Automatic Event Salience Identification. EMNLP 2018: 1226-1236 - [c13]Chenyan Xiong, Zhengzhong Liu, Jamie Callan, Tie-Yan Liu:
Towards Better Text Understanding and Retrieval through Kernel Entity Salience Modeling. SIGIR 2018: 575-584 - [i14]Eduard H. Hovy, Taylor Berg-Kirkpatrick, Jaime G. Carbonell, Hans Chalupsky, Anatole Gershman, Alexander G. Hauptmann, Florian Metze, Teruko Mitamura, Aditi Chaudhary, Xianyang Chen, Bernie Po-Yao Huang, Hector Zhengzhong Liu, Xuezhe Ma, Shruti Palaskar, Dheeraj Rajagopal, Maria Ryskina, Ramon Sanabria:
OPERA: Operations-oriented Probabilistic Extraction, Reasoning, and Analysis. TAC 2018 - [i13]Chenyan Xiong, Zhengzhong Liu, Jamie Callan, Tie-Yan Liu:
Towards Better Text Understanding and Retrieval through Kernel Entity Salience Modeling. CoRR abs/1805.01334 (2018) - [i12]Zhengzhong Liu, Teruko Mitamura, Eduard H. Hovy:
Graph-Based Decoding for Event Sequencing and Coreference Resolution. CoRR abs/1806.05099 (2018) - [i11]Zhengzhong Liu, Chenyan Xiong, Teruko Mitamura, Eduard H. Hovy:
Automatic Event Salience Identification. CoRR abs/1809.00647 (2018) - [i10]Zhiting Hu, Haoran Shi, Zichao Yang, Bowen Tan, Tiancheng Zhao, Junxian He, Wentao Wang, Xingjiang Yu, Lianhui Qin, Di Wang, Xuezhe Ma, Zhengzhong Liu, Xiaodan Liang, Wanrong Zhu, Devendra Singh Sachan, Eric P. Xing:
Texar: A Modularized, Versatile, and Extensible Toolkit for Text Generation. CoRR abs/1809.00794 (2018) - 2017
- [c12]Chenyan Xiong, Zhengzhong Liu, Jamie Callan, Eduard H. Hovy
:
JointSem: Combining Query Entity Linking and Entity based Document Ranking. CIKM 2017: 2391-2394 - [c11]Keyang Xu, Zhengzhong Liu, Jamie Callan:
De-duping URLs with Sequence-to-Sequence Neural Networks. SIGIR 2017: 1157-1160 - [i9]Hans Chalupsky, Jun Araki, Eduard H. Hovy, Andrew Hsi, Zhengzhong Liu, Xuezhe Ma, Evangelia Spiliopoulou, Shuxin Yao:
Multi-lingual Extraction and Integration of Entities, Relations, Events and Sentiments into ColdStart++ KBs with the SAFT System. TAC 2017 - [i8]Teruko Mitamura, Zhengzhong Liu, Eduard H. Hovy:
Events Detection, Coreference and Sequencing: What's next? Overview of the TAC KBP 2017 Event Track. TAC 2017 - 2016
- [c10]Zhiting Hu, Xuezhe Ma
, Zhengzhong Liu, Eduard H. Hovy
, Eric P. Xing:
Harnessing Deep Neural Networks with Logic Rules. ACL (1) 2016 - [c9]Xuezhe Ma
, Zhengzhong Liu, Eduard H. Hovy:
Unsupervised Ranking Model for Entity Coreference Resolution. HLT-NAACL 2016: 1012-1018 - [i7]Zhengzhong Liu, Jun Araki, Teruko Mitamura, Eduard H. Hovy:
CMU-LTI at KBP 2016 Event Nugget Track. TAC 2016 - [i6]Teruko Mitamura, Zhengzhong Liu, Eduard H. Hovy:
Overview of TAC-KBP 2016 Event Nugget Track. TAC 2016 - [i5]Xuezhe Ma, Zhengzhong Liu, Eduard H. Hovy:
Unsupervised Ranking Model for Entity Coreference Resolution. CoRR abs/1603.04553 (2016) - [i4]Zhiting Hu, Xuezhe Ma, Zhengzhong Liu, Eduard H. Hovy, Eric P. Xing:
Harnessing Deep Neural Networks with Logic Rules. CoRR abs/1603.06318 (2016) - 2015
- [c8]Zhengzhong Liu, Teruko Mitamura, Eduard H. Hovy:
Evaluation Algorithms for Event Nugget Detection : A Pilot Study. EVENTS@HLP-NAACL 2015: 53-57 - [i3]Zhengzhong Liu, Jun Araki, Dheeru Dua, Teruko Mitamura, Eduard H. Hovy:
CMU-LTI at KBP 2015 Event Track. TAC 2015 - [i2]Teruko Mitamura, Zhengzhong Liu, Eduard H. Hovy:
Overview of TAC KBP 2015 Event Nugget Track. TAC 2015 - 2014
- [c7]Zhengzhong Liu, Jun Araki, Eduard H. Hovy, Teruko Mitamura:
Supervised Within-Document Event Coreference using Information Propagation. LREC 2014: 4539-4544 - [c6]Jun Araki, Zhengzhong Liu, Eduard H. Hovy, Teruko Mitamura:
Detecting Subevent Structure for Event Coreference Resolution. LREC 2014: 4553-4558 - [c5]Di Wang, Leonid Boytsov, Jun Araki, Alkesh Patel, Jeff Gee, Zhengzhong Liu, Eric Nyberg, Teruko Mitamura:
CMU Multiple-choice Question Answering System at NTCIR-11 QA-Lab. NTCIR 2014 - 2012
- [c4]Jian Xu, Qin Lu
, Zhengzhong Liu, Junyi Chai
:
Topic Sequence Kernel. AIRS 2012: 457-466 - [c3]Jian Xu, Qin Lu, Zhengzhong Liu:
Aggregating skip bigrams into key phrase-based vector space model for web person disambiguation. KONVENS 2012: 108-117 - [c2]Jian Xu, Qin Lu, Zhengzhong Liu:
PolyUCOMP: Combining Semantic Vectors with Skip bigrams for Semantic Textual Similarity. SemEval@NAACL-HLT 2012: 524-528 - [c1]Jian Xu, Qin Lu
, Zhengzhong Liu:
Combining classification with clustering for web person disambiguation. WWW (Companion Volume) 2012: 637-638 - 2011
- [i1]Xu Jian, Zhengzhong Liu, Qin Lu, Patty Liu, Chenchen Wang, Yan Li, Xiaoning Li, Hanying Huang, Yang Song, Cheng Chang, Liaoming Zhou, Jing Xiao, Dian Yu, Weiran Xu, Guang Chen, Jun Guo:
PolyUCOMP in TAC 2011 Entity Linking and Slot-Filling. TAC 2011
Coauthor Index
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