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ORCIDPeng Xu 0008
Person information
- affiliation: The Hong Kong University of Science and Technology
Other persons with the same name
- Peng Xu — disambiguation page
- Peng Xu 0001
![[0000-0002-7932-0386]](https://images.weserv.nl/?url=https%3A%2F%2Fdblp.org%2Fimg%2Forcid-mark.12x12.png&q=12&output=webp&max-age=110 "0000-0002-7932-0386")
— University of Electronic Science and Technology of China, Center for Information in Medicine, Chengdu, China (and 2 more) - Peng Xu 0002 — Chongqing University of Posts and Telecommunications, China (and 1 more)
- Peng Xu 0003 — Huazhong University of Science and Technology, School of Computer Science and Technology, Wuhan, China
- Peng Xu 0004 — Southeast University, State Key Laboratory of Bioelectronics, School of Biological Science and Medical Engineering, Nanjing, China (and 1 more)
- Peng Xu 0005 — Beijing University of Posts and Telecommunications, Pattern Recognition and Intelligent System Laboratory, China
- Peng Xu 0006 — Tsinghua University, Department of Precision Instrument, Beijing, China
- Peng Xu 0007 — Hubei University of Technology, School of Science, Wuhan, China (and 3 more)
- Peng Xu 0009 — University of Maryland, Department of Electrical and Computer Engineering, Institute for Systems Research, MD, USA
- Peng Xu 0010 — Google DeepMind, Department of Robotics
- Peng Xu 0011 — Donghua University, College of Science, Shanghai, China
- Peng Xu 0012 — Harbin Institute of Technology, State Key Laboratory of Robotics and System, China (and 1 more)
- Peng Xu 0013 — University of Massachusetts Boston, MA, USA
- Peng Xu 0014 — Fudan University, State Key Laboratory of Integrated Chips and Systems, Shanghai, China
- Peng Xu 0015 — Nanjing University of Aeronautics and Astronautics, MoE Key Laboratory of Dynamic Cognitive System of Electromagnetic Spectrum Space, China
- Peng Xu 0016 — Chinese Academy of Sciences, Institute of Mechanics, Beijing, China (and 1 more)
- Peng Xu 0017 — Bytedance, San Jose, CA, USA
- Peng Xu 0018 — Southwest Jiaotong University, School of Mathematics, National-Local Joint Engineering Laboratory of System Credibility Automatic Verification, Chengdu, China
- Peng Xu 0019 — University of Shantou, College of Engineering, Key Lab of Digital Signal and Image Processing of Guangdong Province, China
- Peng Xu 0020 — State Grid Gansu Electric Power Company Digital Division, China
- Peng Xu 0021 — Nanjing University of Science and Technology, China
- Peng Xu 0022 — Xi'an University of Technology, Faculty of Computer Science and Engineering, China
- Peng Xu 0023 — Alibaba Cloud Computing, Beijing, China
- Peng Xu 0024 — Jinan University, School of Mechanics and Construction Engineering, MOE Key Laboratory of Disaster Forecast and Control in Engineering, Guangzhou, China
- Peng Xu 0025 — University of Alabama at Birmingham, Informatics Institute, Department of Genetics, AL, USA
- Peng Xu 0026 — Zhejiang University, College of Information Science and Electronic Engineering, Hangzhou, China
- Peng Xu 0027 — Virginia Tech, Grado Department of Industrial and Systems Engineering, Blacksburg, VA, USA
- Peng Xu 0028 — Dalian Maritime University, Marine Engineering College, State Key Laboratory of Maritime Technology and Safety, China
- Peng Xu 0029 — Chinese Academy of Sciences, Innovation Academy for Precision Measurement Science and Technology, Wuhan, China (and 1 more)
- Peng Xu 0030 — China Jiliang University, College of Science, Hangzhou, China (and 1 more)
- Peng Xu 0031 — Beijing Film Academy, School of Fine Art, China
- Peng Xu 0032 — Chongqing Technology and Business University, School of Artificial Intelligence, Chongqing Key Laboratory of Intelligent Perception and BlockChain Technology, China
- Peng Xu 0033 — Beijing Jiaotong University, Key Laboratory of Transport Industry of Big Data Application Technologies for Comprehensive Transport, China (and 2 more)
- Peng Xu 0034 — People's Liberation Army Engineering University, Nanjing, China (and 1 more)
- Peng Xu 0035 — Shanghai AI Laboratory, OpenGVLab, China (and 1 more)
- Peng Xu 0036 — Harbin Institute of Technology, State Key Laboratory of Robotics and Systems, China
- Peng Xu 0037 — Qingdao University of Technology, School of Information and Control Engineering, China
- Peng Xu 0038 — Aalto University, School of Business, Espoo, Finland
- Peng Xu 0039 — Northeastern University, College of Information Science and Engineering, State Key Laboratory of Synthetical Automation for Process Industries, Shenyang, China
- Peng Xu 0040 — Ant Group, USA
- Peng Xu 0041 — Southeast University, School of Energy and Environment, Nanjing, China (and 2 more)
- Peng Xu 0042 — Guangdong Polytechnic Normal University, School of Electronics and Information, Guangzhou, China (and 1 more)
- Peng Xu 0043 — Southwest University of Science and Technology, School of Information Engineering, Mianyang, China
- Peng Xu 0044 — Southwest University of Political Science and Law, School of Business, Chongqing, China
- Peng Xu 0045 — Anhui University, School of Computer Science and Technology, MOE Key Laboratory of Intelligent Computing and Signal Processing, Hefei, China
- Peng Xu 0046 — Shanghai Jiao Tong University, Shanghai Qi Zhi Institute, China
- Peng Xu 0047 — Xi'an Research Inst of Hi-Tech, China
- Peng Xu 0048 — China Academy of Railway Sciences, Signal and Communication Research Institute, Beijing, China
- Peng Xu 0049 — National University of Defense Technology, College of Computer, Changcha, China
- Peng Xu 0050 — Jiangsu Normal University, School of Electrical Engineering and Automation, Xuzhou, China
- Peng Xu 0051 — Jiangnan University, School of Artificial Intelligence and Computer Science, Jiangsu Key Laboratory of Digital Design and Software Technology, Wuxi, China
- Peng Xu 0052 (aka: Ship Peng Xu) — Chinese University of Hong Kong, Department of Computer Science and Engineering, Hong Kong (and 2 more)
- Peng Xu 0053 — Hefei University of Technology, School of Instrument Science and Opto-Electronics Engineering, Anhui Province Key Laboratory of Measuring Theory and Precision Instrument, China
- Peng Xu 0054 — Iowa State University, Department of Chemistry, Ames Laboratory, IA, USA
- Peng Xu 0055 — Xi'an Science and Technology Museum, China
- Peng Xu 0056 — Nanjing Normal University, School of Business, China
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2020 – today
- 2025
[c33]Peng Xu, Wei Ping, Xianchao Wu, Chejian Xu, Zihan Liu, Mohammad Shoeybi, Bryan Catanzaro:
ChatQA 2: Bridging the Gap to Proprietary LLMs in Long Context and RAG Capabilities. ICLR 2025- [i37]Chejian Xu, Wei Ping, Peng Xu, Zihan Liu, Boxin Wang, Mohammad Shoeybi, Bo Li, Bryan Catanzaro:
From 128K to 4M: Efficient Training of Ultra-Long Context Large Language Models. CoRR abs/2504.06214 (2025) - [i36]Yang Chen, Zhuolin Yang, Zihan Liu, Chankyu Lee, Peng Xu, Mohammad Shoeybi, Bryan Catanzaro, Wei Ping:
AceReason-Nemotron: Advancing Math and Code Reasoning through Reinforcement Learning. CoRR abs/2505.16400 (2025) - 2024
- [c32]Peng Xu, Wei Ping, Xianchao Wu, Lawrence McAfee, Chen Zhu, Zihan Liu, Sandeep Subramanian, Evelina Bakhturina, Mohammad Shoeybi, Bryan Catanzaro:
Retrieval meets Long Context Large Language Models. ICLR 2024 - [c31]Boxin Wang, Wei Ping, Lawrence McAfee, Peng Xu, Bo Li, Mohammad Shoeybi, Bryan Catanzaro:
InstructRetro: Instruction Tuning post Retrieval-Augmented Pretraining. ICML 2024 - [c30]Zihan Liu, Wei Ping, Rajarshi Roy, Peng Xu, Chankyu Lee, Mohammad Shoeybi, Bryan Catanzaro:
ChatQA: Surpassing GPT-4 on Conversational QA and RAG. NeurIPS 2024 - [i35]Zihan Liu, Wei Ping, Rajarshi Roy, Peng Xu, Chankyu Lee, Mohammad Shoeybi, Bryan Catanzaro:
ChatQA: Building GPT-4 Level Conversational QA Models. CoRR abs/2401.10225 (2024) - [i34]Peng Xu, Wei Ping, Xianchao Wu, Zihan Liu, Mohammad Shoeybi, Bryan Catanzaro:
ChatQA 2: Bridging the Gap to Proprietary LLMs in Long Context and RAG Capabilities. CoRR abs/2407.14482 (2024) - 2023
- [c29]Dan Su, Mostofa Patwary, Shrimai Prabhumoye, Peng Xu, Ryan Prenger, Mohammad Shoeybi, Pascale Fung, Anima Anandkumar, Bryan Catanzaro:
Context Generation Improves Open Domain Question Answering. EACL (Findings) 2023: 781-796 - [c28]Boxin Wang, Wei Ping, Peng Xu, Lawrence McAfee, Zihan Liu, Mohammad Shoeybi, Yi Dong, Oleksii Kuchaiev, Bo Li, Chaowei Xiao, Anima Anandkumar, Bryan Catanzaro:
Shall We Pretrain Autoregressive Language Models with Retrieval? A Comprehensive Study. EMNLP 2023: 7763-7786 - [i33]Boxin Wang, Wei Ping, Peng Xu, Lawrence McAfee, Zihan Liu, Mohammad Shoeybi, Yi Dong, Oleksii Kuchaiev, Bo Li, Chaowei Xiao, Anima Anandkumar, Bryan Catanzaro:
Shall We Pretrain Autoregressive Language Models with Retrieval? A Comprehensive Study. CoRR abs/2304.06762 (2023) - [i32]Jie Huang, Wei Ping, Peng Xu, Mohammad Shoeybi, Kevin Chen-Chuan Chang, Bryan Catanzaro:
RAVEN: In-Context Learning with Retrieval Augmented Encoder-Decoder Language Models. CoRR abs/2308.07922 (2023) - [i31]Peng Xu, Wei Ping, Xianchao Wu, Lawrence McAfee, Chen Zhu, Zihan Liu, Sandeep Subramanian, Evelina Bakhturina, Mohammad Shoeybi, Bryan Catanzaro:
Retrieval meets Long Context Large Language Models. CoRR abs/2310.03025 (2023) - [i30]Boxin Wang, Wei Ping, Lawrence McAfee, Peng Xu, Bo Li, Mohammad Shoeybi, Bryan Catanzaro:
InstructRetro: Instruction Tuning post Retrieval-Augmented Pretraining. CoRR abs/2310.07713 (2023) - 2022
- [c27]Peng Xu, Mostofa Patwary, Shrimai Prabhumoye, Virginia Adams, Ryan Prenger, Wei Ping, Nayeon Lee, Mohammad Shoeybi, Bryan Catanzaro:
Evaluating Parameter Efficient Learning for Generation. EMNLP 2022: 4824-4833 - [c26]Dan Su, Peng Xu, Pascale Fung:
QA4QG: Using Question Answering to Constrain Multi-Hop Question Generation. ICASSP 2022: 8232-8236 - [c25]Tiezheng Yu, Rita Frieske, Peng Xu, Samuel Cahyawijaya, Cheuk Tung Shadow Yiu, Holy Lovenia, Wenliang Dai, Elham J. Barezi, Qifeng Chen, Xiaojuan Ma, Bertram E. Shi, Pascale Fung:
Automatic Speech Recognition Datasets in Cantonese: A Survey and New Dataset. LREC 2022: 6487-6494 - [c24]Wenliang Dai, Samuel Cahyawijaya, Tiezheng Yu, Elham J. Barezi, Peng Xu, Cheuk Tung Yiu, Rita Frieske, Holy Lovenia, Genta Indra Winata, Qifeng Chen, Xiaojuan Ma, Bertram E. Shi, Pascale Fung:
CI-AVSR: A Cantonese Audio-Visual Speech Datasetfor In-car Command Recognition. LREC 2022: 6786-6793 - [c23]Holy Lovenia, Samuel Cahyawijaya, Genta Indra Winata, Peng Xu, Yan Xu, Zihan Liu, Rita Frieske, Tiezheng Yu, Wenliang Dai, Elham J. Barezi, Qifeng Chen, Xiaojuan Ma, Bertram E. Shi, Pascale Fung:
ASCEND: A Spontaneous Chinese-English Dataset for Code-switching in Multi-turn Conversation. LREC 2022: 7259-7268 - [c22]Nayeon Lee, Wei Ping, Peng Xu, Mostofa Patwary, Pascale Fung, Mohammad Shoeybi, Bryan Catanzaro:
Factuality Enhanced Language Models for Open-Ended Text Generation. NeurIPS 2022 - [c21]Boxin Wang, Wei Ping, Chaowei Xiao, Peng Xu, Mostofa Patwary, Mohammad Shoeybi, Bo Li, Anima Anandkumar, Bryan Catanzaro:
Exploring the Limits of Domain-Adaptive Training for Detoxifying Large-Scale Language Models. NeurIPS 2022 - [i29]Tiezheng Yu, Rita Frieske, Peng Xu, Samuel Cahyawijaya, Cheuk Tung Shadow Yiu, Holy Lovenia, Wenliang Dai, Elham J. Barezi, Qifeng Chen, Xiaojuan Ma, Bertram E. Shi, Pascale Fung:
Automatic Speech Recognition Datasets in Cantonese: A Survey and New Dataset. CoRR abs/2201.02419 (2022) - [i28]Wenliang Dai, Samuel Cahyawijaya, Tiezheng Yu, Elham J. Barezi, Peng Xu, Cheuk Tung Shadow Yiu, Rita Frieske, Holy Lovenia, Genta Indra Winata, Qifeng Chen, Xiaojuan Ma, Bertram E. Shi, Pascale Fung:
CI-AVSR: A Cantonese Audio-Visual Speech Dataset for In-car Command Recognition. CoRR abs/2201.03804 (2022) - [i27]Boxin Wang, Wei Ping, Chaowei Xiao, Peng Xu, Mostofa Patwary, Mohammad Shoeybi, Bo Li, Anima Anandkumar, Bryan Catanzaro:
Exploring the Limits of Domain-Adaptive Training for Detoxifying Large-Scale Language Models. CoRR abs/2202.04173 (2022) - [i26]Dan Su, Peng Xu, Pascale Fung:
QA4QG: Using Question Answering to Constrain Multi-Hop Question Generation. CoRR abs/2202.06538 (2022) - [i25]Nayeon Lee, Wei Ping, Peng Xu, Mostofa Patwary, Mohammad Shoeybi, Bryan Catanzaro:
Factuality Enhanced Language Models for Open-Ended Text Generation. CoRR abs/2206.04624 (2022) - [i24]Dan Su, Mostofa Patwary, Shrimai Prabhumoye, Peng Xu, Ryan Prenger, Mohammad Shoeybi, Pascale Fung, Anima Anandkumar, Bryan Catanzaro:
Context Generation Improves Open Domain Question Answering. CoRR abs/2210.06349 (2022) - [i23]Peng Xu, Mostofa Patwary, Shrimai Prabhumoye, Virginia Adams, Ryan J. Prenger, Wei Ping, Nayeon Lee, Mohammad Shoeybi, Bryan Catanzaro:
Evaluating Parameter Efficient Learning for Generation. CoRR abs/2210.13673 (2022) - 2021
- [c20]Yan Xu, Etsuko Ishii, Genta Indra Winata, Zhaojiang Lin, Andrea Madotto, Zihan Liu, Peng Xu, Pascale Fung:
CAiRE in DialDoc21: Data Augmentation for Information Seeking Dialogue System. DialDoc@ACL-IJCNLP 2021: 46-51 - [c19]Zhaojiang Lin, Andrea Madotto, Genta Indra Winata, Peng Xu, Feijun Jiang, Yuxiang Hu, Chen Shi, Pascale Fung:
BiToD: A Bilingual Multi-Domain Dataset For Task-Oriented Dialogue Modeling. NeurIPS Datasets and Benchmarks 2021 - [c18]Zihan Liu, Genta Indra Winata, Peng Xu, Pascale Fung:
X2Parser: Cross-Lingual and Cross-Domain Framework for Task-Oriented Compositional Semantic Parsing. RepL4NLP@ACL-IJCNLP 2021: 112-127 - [i22]Zhaojiang Lin, Andrea Madotto, Genta Indra Winata, Peng Xu, Feijun Jiang, Yuxiang Hu, Chen Shi, Pascale Fung:
BiToD: A Bilingual Multi-Domain Dataset For Task-Oriented Dialogue Modeling. CoRR abs/2106.02787 (2021) - [i21]Etsuko Ishii, Yan Xu, Genta Indra Winata, Zhaojiang Lin, Andrea Madotto, Zihan Liu, Peng Xu, Pascale Fung:
CAiRE in DialDoc21: Data Augmentation for Information-Seeking Dialogue System. CoRR abs/2106.03530 (2021) - [i20]Zihan Liu, Genta Indra Winata, Peng Xu, Pascale Fung:
X2Parser: Cross-Lingual and Cross-Domain Framework for Task-Oriented Compositional Semantic Parsing. CoRR abs/2106.03777 (2021) - [i19]Holy Lovenia, Samuel Cahyawijaya, Genta Indra Winata, Peng Xu, Yan Xu, Zihan Liu, Rita Frieske, Tiezheng Yu, Wenliang Dai, Elham J. Barezi, Pascale Fung:
ASCEND: A Spontaneous Chinese-English Dataset for Code-switching in Multi-turn Conversation. CoRR abs/2112.06223 (2021) - 2020
- [c17]Zihan Liu, Genta Indra Winata, Zhaojiang Lin, Peng Xu, Pascale Fung:
Attention-Informed Mixed-Language Training for Zero-Shot Cross-Lingual Task-Oriented Dialogue Systems. AAAI 2020: 8433-8440 - [c16]Zhaojiang Lin, Peng Xu, Genta Indra Winata, Farhad Bin Siddique, Zihan Liu, Jamin Shin, Pascale Fung:
CAiRE: An End-to-End Empathetic Chatbot. AAAI 2020: 13622-13623 - [c15]Zihan Liu, Genta Indra Winata, Peng Xu, Pascale Fung:
Coach: A Coarse-to-Fine Approach for Cross-domain Slot Filling. ACL 2020: 19-25 - [c14]Genta Indra Winata, Samuel Cahyawijaya, Zhaojiang Lin, Zihan Liu, Peng Xu, Pascale Fung:
Meta-Transfer Learning for Code-Switched Speech Recognition. ACL 2020: 3770-3776 - [c13]Peng Xu, Mostofa Patwary, Mohammad Shoeybi, Raul Puri, Pascale Fung, Anima Anandkumar, Bryan Catanzaro:
MEGATRON-CNTRL: Controllable Story Generation with External Knowledge Using Large-Scale Language Models. EMNLP (1) 2020: 2831-2845 - [c12]Zihan Liu, Genta Indra Winata, Peng Xu, Zhaojiang Lin, Pascale Fung:
Cross-lingual Spoken Language Understanding with Regularized Representation Alignment. EMNLP (1) 2020: 7241-7251 - [c11]Jamin Shin, Peng Xu, Andrea Madotto, Pascale Fung:
Generating Empathetic Responses by Looking Ahead the User's Sentiment. ICASSP 2020: 7989-7993 - [c10]Genta Indra Winata, Samuel Cahyawijaya, Zihan Liu, Zhaojiang Lin, Andrea Madotto, Peng Xu, Pascale Fung:
Learning Fast Adaptation on Cross-Accented Speech Recognition. INTERSPEECH 2020: 1276-1280 - [c9]Chien-Sheng Wu, Andrea Madotto, Zhaojiang Lin, Peng Xu, Pascale Fung:
Getting To Know You: User Attribute Extraction from Dialogues. LREC 2020: 581-589 - [i18]Genta Indra Winata, Samuel Cahyawijaya, Zihan Liu, Zhaojiang Lin, Andrea Madotto, Peng Xu, Pascale Fung:
Learning Fast Adaptation on Cross-Accented Speech Recognition. CoRR abs/2003.01901 (2020) - [i17]Zhaojiang Lin, Genta Indra Winata, Peng Xu, Zihan Liu, Pascale Fung:
Variational Transformers for Diverse Response Generation. CoRR abs/2003.12738 (2020) - [i16]Zihan Liu, Genta Indra Winata, Peng Xu, Pascale Fung:
Coach: A Coarse-to-Fine Approach for Cross-domain Slot Filling. CoRR abs/2004.11727 (2020) - [i15]Genta Indra Winata, Samuel Cahyawijaya, Zhaojiang Lin, Zihan Liu, Peng Xu, Pascale Fung:
Meta-Transfer Learning for Code-Switched Speech Recognition. CoRR abs/2004.14228 (2020) - [i14]Peng Xu, Zihan Liu, Genta Indra Winata, Zhaojiang Lin, Pascale Fung:
EmoGraph: Capturing Emotion Correlations using Graph Networks. CoRR abs/2008.09378 (2020) - [i13]Zihan Liu, Genta Indra Winata, Peng Xu, Zhaojiang Lin, Pascale Fung:
Cross-lingual Spoken Language Understanding with Regularized Representation Alignment. CoRR abs/2009.14510 (2020) - [i12]Peng Xu, Mostofa Patwary, Mohammad Shoeybi, Raul Puri, Pascale Fung, Anima Anandkumar, Bryan Catanzaro:
MEGATRON-CNTRL: Controllable Story Generation with External Knowledge Using Large-Scale Language Models. CoRR abs/2010.00840 (2020)
2010 – 2019
- 2019
- [c8]Dan Su, Yan Xu, Genta Indra Winata, Peng Xu, Hyeondey Kim, Zihan Liu, Pascale Fung:
Generalizing Question Answering System with Pre-trained Language Model Fine-tuning. MRQA@EMNLP 2019: 203-211 - [c7]Zhaojiang Lin, Andrea Madotto, Jamin Shin, Peng Xu, Pascale Fung:
MoEL: Mixture of Empathetic Listeners. EMNLP/IJCNLP (1) 2019: 121-132 - [c6]Zihan Liu, Jamin Shin, Yan Xu, Genta Indra Winata, Peng Xu, Andrea Madotto, Pascale Fung:
Zero-shot Cross-lingual Dialogue Systems with Transferable Latent Variables. EMNLP/IJCNLP (1) 2019: 1297-1303 - [c5]Peng Xu, Chien-Sheng Wu, Andrea Madotto, Pascale Fung:
Clickbait? Sensational Headline Generation with Auto-tuned Reinforcement Learning. EMNLP/IJCNLP (1) 2019: 3063-3073 - [c4]Peng Xu, Pascale Fung:
A Novel Repetition Normalized Adversarial Reward for Headline Generation. ICASSP 2019: 7325-7329 - [c3]Genta Indra Winata, Andrea Madotto, Zhaojiang Lin, Jamin Shin, Yan Xu, Peng Xu, Pascale Fung:
CAiRE_HKUST at SemEval-2019 Task 3: Hierarchical Attention for Dialogue Emotion Classification. SemEval@NAACL-HLT 2019: 142-147 - [i11]Peng Xu, Pascale Fung:
A novel repetition normalized adversarial reward for headline generation. CoRR abs/1902.07110 (2019) - [i10]Genta Indra Winata, Andrea Madotto, Zhaojiang Lin, Jamin Shin, Yan Xu, Peng Xu, Pascale Fung:
CAiRE_HKUST at SemEval-2019 Task 3: Hierarchical Attention for Dialogue Emotion Classification. CoRR abs/1906.04041 (2019) - [i9]Jamin Shin, Peng Xu, Andrea Madotto, Pascale Fung:
HappyBot: Generating Empathetic Dialogue Responses by Improving User Experience Look-ahead. CoRR abs/1906.08487 (2019) - [i8]Zhaojiang Lin, Peng Xu, Genta Indra Winata, Zihan Liu, Pascale Fung:
CAiRE: An End-to-End Empathetic Chatbot. CoRR abs/1907.12108 (2019) - [i7]Chien-Sheng Wu, Andrea Madotto, Zhaojiang Lin, Peng Xu, Pascale Fung:
Getting To Know You: User Attribute Extraction from Dialogues. CoRR abs/1908.04621 (2019) - [i6]Zhaojiang Lin, Andrea Madotto, Jamin Shin, Peng Xu, Pascale Fung:
MoEL: Mixture of Empathetic Listeners. CoRR abs/1908.07687 (2019) - [i5]Peng Xu, Chien-Sheng Wu, Andrea Madotto, Pascale Fung:
Clickbait? Sensational Headline Generation with Auto-tuned Reinforcement Learning. CoRR abs/1909.03582 (2019) - [i4]Zihan Liu, Jamin Shin, Yan Xu, Genta Indra Winata, Peng Xu, Andrea Madotto, Pascale Fung:
Zero-shot Cross-lingual Dialogue Systems with Transferable Latent Variables. CoRR abs/1911.04081 (2019) - [i3]Zihan Liu, Genta Indra Winata, Zhaojiang Lin, Peng Xu, Pascale Fung:
Attention-Informed Mixed-Language Training for Zero-shot Cross-lingual Task-oriented Dialogue Systems. CoRR abs/1911.09273 (2019) - 2018
- [c2]Ji Ho Park, Peng Xu, Pascale Fung:
PlusEmo2Vec at SemEval-2018 Task 1: Exploiting emotion knowledge from emoji and #hashtags. SemEval@NAACL-HLT 2018: 264-272 - [c1]Peng Xu, Andrea Madotto, Chien-Sheng Wu, Ji Ho Park, Pascale Fung:
Emo2Vec: Learning Generalized Emotion Representation by Multi-task Training. WASSA@EMNLP 2018: 292-298 - [i2]Ji Ho Park, Peng Xu, Pascale Fung:
PlusEmo2Vec at SemEval-2018 Task 1: Exploiting emotion knowledge from emoji and #hashtags. CoRR abs/1804.08280 (2018) - [i1]Peng Xu, Andrea Madotto, Chien-Sheng Wu, Ji Ho Park, Pascale Fung:
Emo2Vec: Learning Generalized Emotion Representation by Multi-task Training. CoRR abs/1809.04505 (2018)
Coauthor Index
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