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ORCIDZhengzhong Liu 0001
Hector Liu – Hector Zhengzhong Liu
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
- 2026
[c31]Yuheng Zha, Kun Zhou, Yujia Wu, Yushu Wang, Jie Feng, Zhi Xu, Shibo Hao, Zhengzhong Liu, Eric P. Xing, Zhiting Hu:
Vision-G1: Towards General Reasoning Vision-Language Models via Reinforcement Learning. AAAI 2026: 28131-28139- [i50]Jianshu She, Zonghang Li, Hongchao Du, Shangyu Wu, Wenhao Zheng, Eric Xing, Zhengzhong Liu, Huaxiu Yao, Jason Xue, Qirong Ho:
LAPS: A Length-Aware-Prefill LLM Serving System. CoRR abs/2601.11589 (2026) - [i49]Zhoujun Cheng, Yutao Xie, Yuxiao Qu, Amrith Setlur, Shibo Hao, Varad Pimpalkhute, Tongtong Liang, Feng Yao, Zhengzhong Liu, Eric P. Xing, Virginia Smith, Ruslan Salakhutdinov, Zhiting Hu, Taylor W. Killian, Aviral Kumar:
IsoCompute Playbook: Optimally Scaling Sampling Compute for LLM RL. CoRR abs/2603.12151 (2026) - [i48]Qiyue Gao, Kun Zhou, Jiannan Xiang, Zihan Liu, Dequan Yang, Junrong Chen, Arif Ahmad, Cong Zeng, Ganesh Bannur, Xinqi Huang, Zheqi Li, Yi Gu, Yichi Yang, Guangyi Liu, Zhiting Hu, Zhengzhong Liu, Eric P. Xing:
World Reasoning Arena. CoRR abs/2603.25887 (2026) - [i47]Shibo Hao, Zhining Zhang, Zhiqi Liang, Tianyang Liu, Yuheng Zha, Qiyue Gao, Jixuan Chen, Zilong Wang, Zhoujun Cheng, Haoxiang Zhang, Junli Wang, Hexi Jin, Boyuan Zheng, Kun Zhou, Yu Wang, Feng Yao, Licheng Liu, Yijiang Li, Zhifei Li, Zhengtao Han, Pracha Promthaw, Tommaso Cerruti, Xiaohan Fu, Ziqiao Ma, Jingbo Shang, Lianhui Qin, Julian J. McAuley, Eric P. Xing, Zhengzhong Liu, Rupesh Kumar Srivastava, Zhiting Hu:
CocoaBench: Evaluating Unified Digital Agents in the Wild. CoRR abs/2604.11201 (2026) - [i46]Linghao Jin, Chufan Shi, Huijuan Wang, Nuan Wen, Zhengzhong Liu, Eric Xing, Xuezhe Ma:
EMO: Frustratingly Easy Progressive Training of Extendable MoE. CoRR abs/2605.13247 (2026) - [i45]Kyle R. Chickering, Huijuan Wang, Mengxi Wu, Alexander Moreno, Muhao Chen, Xuezhe Ma, Daria Soboleva, Joel Hestness, Zhengzhong Liu, Eric P. Xing:
GQA-μP: The maximal parameterization update for grouped query attention. CoRR abs/2605.15290 (2026) - [i44]Mingkai Deng, Jinyu Hou, Lara Sá Neves, Varad Pimpalkhute, Taylor W. Killian, Zhengzhong Liu, Eric P. Xing:
Efficient Agentic Reasoning Through Self-Regulated Simulative Planning. CoRR abs/2605.22138 (2026) - 2025
- [c30]Jianshu She, Wenhao Zheng, Zhengzhong Liu, Hongyi Wang, Eric P. Xing, Huaxiu Yao, Qirong Ho:
Token Level Routing Inference System for Edge Devices. ACL (3) 2025: 159-166 - [c29]Jianshu She, Xinyue Li, Eric P. Xing, Zhengzhong Liu, Qirong Ho:
Linear Steerability in Language Models: When It Emerges and How It Evolves. EMNLP (Findings) 2025: 17821-17846 - [c28]Yonghao Zhuang, Lanxiang Hu, Longfei Yun, Souvik Kundu, Zhengzhong Liu, Eric P. Xing, Hao Zhang:
Scaling Long Context Training Data by Long-Distance Referrals. ICLR 2025 - [c27]Yuan Li, Zhengzhong Liu, Eric P. Xing:
Data Mixing Optimization for Supervised Fine-Tuning of Large Language Models. ICML 2025 - [c26]Peiyuan Zhang, Yongqi Chen, Runlong Su, Hangliang Ding, Ion Stoica, Zhengzhong Liu, Hao Zhang:
Fast Video Generation with Sliding Tile Attention. ICML 2025 - [c25]Haonan Li, Xudong Han, Zenan Zhai, Honglin Mu, Hao Wang, Zhenxuan Zhang, Yilin Geng, Shom Lin, Renxi Wang, Artem Shelmanov, Xiangyu Qi, Yuxia Wang, Donghai Hong, Youliang Yuan, Meng Chen, Haoqin Tu, Fajri Koto, Cong Zeng, Tatsuki Kuribayashi, Rishabh Bhardwaj, Bingchen Zhao, Yawen Duan, Yi Liu, Emad A. Alghamdi, Yaodong Yang, Yinpeng Dong, Soujanya Poria, Pengfei Liu, Zhengzhong Liu, Xuguang Ren, Eduard H. Hovy
, Iryna Gurevych, Preslav Nakov, Monojit Choudhury, Timothy Baldwin:
Libra-Leaderboard: Towards Responsible AI through a Balanced Leaderboard of Safety and Capability. NAACL (System Demonstrations) 2025: 268-286 - [c24]Peiyuan Zhang, Yongqi Chen, Haofeng Huang, Will Lin, Zhengzhong Liu, Ion Stoica, Eric P. Xing, Hao Zhang:
Faster Video Diffusion with Trainable Sparse Attention. NeurIPS 2025 - [i43]Zhengzhong Liu, Bowen Tan, Hongyi Wang, Willie Neiswanger, Tianhua Tao, Haonan Li, Fajri Koto, Yuqi Wang, Suqi Sun, Omkar Pangarkar, Richard Fan, Yi Gu, Victor Miller, Liqun Ma, Liping Tang, Nikhil Ranjan, Yonghao Zhuang, Guowei He, Renxi Wang, Mingkai Deng, Robin Algayres, Yuanzhi Li, Zhiqiang Shen, Preslav Nakov, Eric P. Xing:
LLM360 K2: Building a 65B 360-Open-Source Large Language Model from Scratch. CoRR abs/2501.07124 (2025) - [i42]Wenhao Zheng, Yixiao Chen, Weitong Zhang, Souvik Kundu, Yun Li, Zhengzhong Liu, Eric P. Xing, Hongyi Wang, Huaxiu Yao:
CITER: Collaborative Inference for Efficient Large Language Model Decoding with Token-Level Routing. CoRR abs/2502.01976 (2025) - [i41]Fan Zhou, Zengzhi Wang, Nikhil Ranjan, Zhoujun Cheng, Liping Tang, Guowei He, Zhengzhong Liu, Eric P. Xing:
MegaMath: Pushing the Limits of Open Math Corpora. CoRR abs/2504.02807 (2025) - [i40]Jianshu She, Wenhao Zheng, Zhengzhong Liu, Hongyi Wang, Eric P. Xing, Huaxiu Yao, Qirong Ho:
Token Level Routing Inference System for Edge Devices. CoRR abs/2504.07878 (2025) - [i39]Yanbin Yin, Kun Zhou, Zhen Wang, Zhaoxiang Zhang, Yifei Shao, Shibo Hao, Yi Gu, Jieyuan Liu, Somanshu Singla, Tianyang Liu, Eric P. Xing, Zhengzhong Liu, Haojian Jin, Zhiting Hu:
Decentralized Arena: Towards Democratic and Scalable Automatic Evaluation of Language Models. CoRR abs/2505.12808 (2025) - [i38]Peiyuan Zhang, Haofeng Huang, Yongqi Chen, Will Lin, Zhengzhong Liu, Ion Stoica, Eric Xing, Hao Zhang:
VSA: Faster Video Diffusion with Trainable Sparse Attention. CoRR abs/2505.13389 (2025) - [i37]Subham Sekhar Sahoo, Zhihan Yang, Yash Akhauri, Johnna Liu, Deepansha Singh, Zhoujun Cheng, Zhengzhong Liu, Eric Xing, John Thickstun, Arash Vahdat:
Esoteric Language Models. CoRR abs/2506.01928 (2025) - [i36]Zhoujun Cheng, Shibo Hao, Tianyang Liu, Fan Zhou, Yutao Xie, Feng Yao, Yuexin Bian, Yonghao Zhuang, Nilabjo Dey, Yuheng Zha, Yi Gu, Kun Zhou, Yuqi Wang, Yuan Li, Richard Fan, Jianshu She, Chengqian Gao, Abulhair Saparov, Haonan Li, Taylor W. Killian, Mikhail Yurochkin, Zhengzhong Liu, Eric P. Xing, Zhiting Hu:
Revisiting Reinforcement Learning for LLM Reasoning from A Cross-Domain Perspective. CoRR abs/2506.14965 (2025) - [i35]Renxi Wang, Rifo Ahmad Genadi, Bilal El Bouardi, Yongxin Wang, Fajri Koto, Zhengzhong Liu, Timothy Baldwin, Haonan Li:
AgentFly: Extensible and Scalable Reinforcement Learning for LM Agents. CoRR abs/2507.14897 (2025) - [i34]Jianshu She, Xinyue Li, Eric P. Xing, Zhengzhong Liu, Qirong Ho:
How Does Controllability Emerge In Language Models During Pretraining? CoRR abs/2508.01892 (2025) - [i33]Yuan Li, Zhengzhong Liu, Eric P. Xing:
Data Mixing Optimization for Supervised Fine-Tuning of Large Language Models. CoRR abs/2508.11953 (2025) - [i32]Yuheng Zha, Kun Zhou, Yujia Wu, Yushu Wang, Jie Feng, Zhi Xu, Shibo Hao, Zhengzhong Liu, Eric P. Xing, Zhiting Hu:
Vision-G1: Towards General Vision Language Reasoning with Multi-Domain Data Curation. CoRR abs/2508.12680 (2025) - [i31]Zhoujun Cheng, Richard Fan, Shibo Hao, Taylor W. Killian, Haonan Li, Suqi Sun, Hector Ren, Alexander Moreno, Daqian Zhang, Tianjun Zhong, Yuxin Xiong, Yuanzhe Hu, Yutao Xie, Xudong Han, Yuqi Wang, Varad Pimpalkhute, Yonghao Zhuang, Aaryamonvikram Singh, Xuezhi Liang, Anze Xie, Jianshu She, Desai Fan, Chengqian Gao, Liqun Ma, Mikhail Yurochkin, John Maggs, Xuezhe Ma, Guowei He, Zhiting Hu, Zhengzhong Liu, Eric P. Xing:
K2-Think: A Parameter-Efficient Reasoning System. CoRR abs/2509.07604 (2025) - [i30]Jiannan Xiang, Yi Gu, Zihan Liu, Zeyu Feng, Qiyue Gao, Yiyan Hu, Benhao Huang, Guangyi Liu, Yichi Yang, Kun Zhou, Davit Abrahamyan, Arif Ahmad, Ganesh Bannur, Junrong Chen, Kimi Chen, Mingkai Deng, Ruobing Han, Xinqi Huang, Haoqiang Kang, Zheqi Li, Enze Ma, Hector Ren, Yashowardhan Shinde, Rohan Shingre, Ramsundar Tanikella, Kaiming Tao, Dequan Yang, Xinle Yu, Cong Zeng, Binglin Zhou, Hector Liu, Zhiting Hu, Eric P. Xing:
PAN: A World Model for General, Interactable, and Long-Horizon World Simulation. CoRR abs/2511.09057 (2025) - 2024
- [c23]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. NeurIPS 2024 - [i29]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) - [i28]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) - [i27]Yiwei Qin, Xuefeng Li, Haoyang Zou, Yixiu Liu, Shijie Xia, Zhen Huang, Yixin Ye, Weizhe Yuan, Hector Liu, Yuanzhi Li, Pengfei Liu:
O1 Replication Journey: A Strategic Progress Report - Part 1. CoRR abs/2410.18982 (2024) - [i26]Tianhua Tao, Junbo Li, Bowen Tan, Hongyi Wang, William Marshall, Bhargav Kanakiya, Joel Hestness, Natalia Vassilieva, Zhiqiang Shen, Eric P. Xing, Zhengzhong Liu:
Crystal: Illuminating LLM Abilities on Language and Code. CoRR abs/2411.04156 (2024) - [i25]Haonan Li, Xudong Han, Zenan Zhai, Honglin Mu, Hao Wang, Zhenxuan Zhang, Yilin Geng, Shom Lin, Renxi Wang, Artem Shelmanov, Xiangyu Qi, Yuxia Wang, Donghai Hong, Youliang Yuan, Meng Chen, Haoqin Tu, Fajri Koto, Tatsuki Kuribayashi, Cong Zeng, Rishabh Bhardwaj, Bingchen Zhao, Yawen Duan, Yi Liu, Emad A. Alghamdi, Yaodong Yang, Yinpeng Dong, Soujanya Poria, Pengfei Liu, Zhengzhong Liu, Xuguang Ren, Eduard H. Hovy, Iryna Gurevych, Preslav Nakov, Monojit Choudhury, Timothy Baldwin:
Libra-Leaderboard: Towards Responsible AI through a Balanced Leaderboard of Safety and Capability. CoRR abs/2412.18551 (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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