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Pengfei Liu 0003
Person information
- affiliation: Carnegie Mellon University, PA, USA
- affiliation (former): Fudan University, Shanghai Key Laboratory of Intelligent Information Processing, China
Other persons with the same name
- Pengfei Liu (aka: PengFei Liu, Pengfeï Liu, Peng-Fei Liu) — disambiguation page
- Pengfei Liu 0001 — University of Bordeaux, France
- Pengfei Liu 0002 — Nanjing University of Posts and Telecommunications, School of Computer Science, China
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2020 – today
- 2024
- [i62]Yiwei Qin, Kaiqiang Song, Yebowen Hu, Wenlin Yao, Sangwoo Cho, Xiaoyang Wang, Xuansheng Wu, Fei Liu, Pengfei Liu, Dong Yu:
InFoBench: Evaluating Instruction Following Ability in Large Language Models. CoRR abs/2401.03601 (2024) - [i61]Shichao Sun, Junlong Li, Weizhe Yuan, Ruifeng Yuan, Wenjie Li, Pengfei Liu:
The Critique of Critique. CoRR abs/2401.04518 (2024) - [i60]Steffi Chern, Ethan Chern, Graham Neubig, Pengfei Liu:
Can Large Language Models be Trusted for Evaluation? Scalable Meta-Evaluation of LLMs as Evaluators via Agent Debate. CoRR abs/2401.16788 (2024) - [i59]Run-Ze Fan, Xuefeng Li, Haoyang Zou, Junlong Li, Shwai He, Ethan Chern, Jiewen Hu, Pengfei Liu:
Reformatted Alignment. CoRR abs/2402.12219 (2024) - [i58]Weizhe Yuan, Pengfei Liu, Matthias Gallé:
LLMCRIT: Teaching Large Language Models to Use Criteria. CoRR abs/2403.01069 (2024) - 2023
- [j2]Pengfei Liu, Weizhe Yuan, Jinlan Fu, Zhengbao Jiang, Hiroaki Hayashi, Graham Neubig:
Pre-train, Prompt, and Predict: A Systematic Survey of Prompting Methods in Natural Language Processing. ACM Comput. Surv. 55(9): 195:1-195:35 (2023) - [c52]Sameer Jain, Vaishakh Keshava, Swarnashree Mysore Sathyendra, Patrick Fernandes, Pengfei Liu, Graham Neubig, Chunting Zhou:
Multi-Dimensional Evaluation of Text Summarization with In-Context Learning. ACL (Findings) 2023: 8487-8495 - [c51]Vijay Viswanathan, Luyu Gao, Tongshuang Wu, Pengfei Liu, Graham Neubig:
DataFinder: Scientific Dataset Recommendation from Natural Language Descriptions. ACL (1) 2023: 10288-10303 - [c50]Yueqi Song, Simran Khanuja, Pengfei Liu, Fahim Faisal, Alissa Ostapenko, Genta Indra Winata, Alham Fikri Aji, Samuel Cahyawijaya, Yulia Tsvetkov, Antonios Anastasopoulos, Graham Neubig:
GlobalBench: A Benchmark for Global Progress in Natural Language Processing. EMNLP 2023: 14157-14171 - [c49]Yiwei Qin, Weizhe Yuan, Graham Neubig, Pengfei Liu:
T5Score: Discriminative Fine-tuning of Generative Evaluation Metrics. EMNLP (Findings) 2023: 15185-15202 - [c48]Luyu Gao, Aman Madaan, Shuyan Zhou, Uri Alon, Pengfei Liu, Yiming Yang, Jamie Callan, Graham Neubig:
PAL: Program-aided Language Models. ICML 2023: 10764-10799 - [c47]Shiqi Chen, Yiran Zhao, Jinghan Zhang, I-Chun Chern, Siyang Gao, Pengfei Liu, Junxian He:
FELM: Benchmarking Factuality Evaluation of Large Language Models. NeurIPS 2023 - [i57]Jinlan Fu, See-Kiong Ng, Zhengbao Jiang, Pengfei Liu:
GPTScore: Evaluate as You Desire. CoRR abs/2302.04166 (2023) - [i56]Yueqi Song, Catherine Cui, Simran Khanuja, Pengfei Liu, Fahim Faisal, Alissa Ostapenko, Genta Indra Winata, Alham Fikri Aji, Samuel Cahyawijaya, Yulia Tsvetkov, Antonios Anastasopoulos, Graham Neubig:
GlobalBench: A Benchmark for Global Progress in Natural Language Processing. CoRR abs/2305.14716 (2023) - [i55]Vijay Viswanathan, Luyu Gao, Tongshuang Wu, Pengfei Liu, Graham Neubig:
DataFinder: Scientific Dataset Recommendation from Natural Language Descriptions. CoRR abs/2305.16636 (2023) - [i54]Sameer Jain, Vaishakh Keshava, Swarnashree Mysore Sathyendra, Patrick Fernandes, Pengfei Liu, Graham Neubig, Chunting Zhou:
Multi-Dimensional Evaluation of Text Summarization with In-Context Learning. CoRR abs/2306.01200 (2023) - [i53]I-Chun Chern, Zhiruo Wang, Sanjan Das, Bhavuk Sharma, Pengfei Liu, Graham Neubig:
Improving Factuality of Abstractive Summarization via Contrastive Reward Learning. CoRR abs/2307.04507 (2023) - [i52]I-Chun Chern, Steffi Chern, Shiqi Chen, Weizhe Yuan, Kehua Feng, Chunting Zhou, Junxian He, Graham Neubig, Pengfei Liu:
FacTool: Factuality Detection in Generative AI - A Tool Augmented Framework for Multi-Task and Multi-Domain Scenarios. CoRR abs/2307.13528 (2023) - [i51]Shiqi Chen, Yiran Zhao, Jinghan Zhang, I-Chun Chern, Siyang Gao, Pengfei Liu, Junxian He:
FELM: Benchmarking Factuality Evaluation of Large Language Models. CoRR abs/2310.00741 (2023) - [i50]Junlong Li, Shichao Sun, Weizhe Yuan, Run-Ze Fan, Hai Zhao, Pengfei Liu:
Generative Judge for Evaluating Alignment. CoRR abs/2310.05470 (2023) - [i49]Yuqing Yang, Ethan Chern, Xipeng Qiu, Graham Neubig, Pengfei Liu:
Alignment for Honesty. CoRR abs/2312.07000 (2023) - [i48]Chunpu Xu, Steffi Chern, Ethan Chern, Ge Zhang, Zekun Wang, Ruibo Liu, Jing Li, Jie Fu, Pengfei Liu:
Align on the Fly: Adapting Chatbot Behavior to Established Norms. CoRR abs/2312.15907 (2023) - 2022
- [j1]Weizhe Yuan, Pengfei Liu, Graham Neubig:
Can We Automate Scientific Reviewing? J. Artif. Intell. Res. 75: 171-212 (2022) - [c46]Weizhe Yuan, Pengfei Liu:
KID-Review: Knowledge-Guided Scientific Review Generation with Oracle Pre-training. AAAI 2022: 11639-11647 - [c45]Yang Xiao, Jinlan Fu, Weizhe Yuan, Vijay Viswanathan, Zhoumianze Liu, Yixin Liu, Graham Neubig, Pengfei Liu:
DataLab: A Platform for Data Analysis and Intervention. ACL (demo) 2022: 182-195 - [c44]Yixin Liu, Pengfei Liu, Dragomir R. Radev, Graham Neubig:
BRIO: Bringing Order to Abstractive Summarization. ACL (1) 2022: 2890-2903 - [c43]Haris Widjaja, Kiril Gashteovski, Wiem Ben Rim, Pengfei Liu, Christopher Malon, Daniel Ruffinelli, Carolin Lawrence, Graham Neubig:
KGxBoard: Explainable and Interactive Leaderboard for Evaluation of Knowledge Graph Completion Models. EMNLP (Demos) 2022: 338-350 - [c42]Jinlan Fu, See-Kiong Ng, Pengfei Liu:
Polyglot Prompt: Multilingual Multitask Prompt Training. EMNLP 2022: 9919-9935 - [c41]Yang Xiao, Jinlan Fu, See-Kiong Ng, Pengfei Liu:
Are All the Datasets in Benchmark Necessary? A Pilot Study of Dataset Evaluation for Text Classification. NAACL-HLT 2022: 2930-2941 - [i47]Yang Xiao, Jinlan Fu, Weizhe Yuan, Vijay Viswanathan, Zhoumianze Liu, Yixin Liu, Graham Neubig, Pengfei Liu:
DataLab: A Platform for Data Analysis and Intervention. CoRR abs/2202.12875 (2022) - [i46]Yixin Liu, Pengfei Liu, Dragomir R. Radev, Graham Neubig:
BRIO: Bringing Order to Abstractive Summarization. CoRR abs/2203.16804 (2022) - [i45]Jinlan Fu, See-Kiong Ng, Pengfei Liu:
Polyglot Prompt: Multilingual Multitask PrompTraining. CoRR abs/2204.14264 (2022) - [i44]Yang Xiao, Jinlan Fu, See-Kiong Ng, Pengfei Liu:
Are All the Datasets in Benchmark Necessary? A Pilot Study of Dataset Evaluation for Text Classification. CoRR abs/2205.02129 (2022) - [i43]Weizhe Yuan, Pengfei Liu:
reStructured Pre-training. CoRR abs/2206.11147 (2022) - [i42]Haris Widjaja, Kiril Gashteovski, Wiem Ben Rim, Pengfei Liu, Christopher Malon, Daniel Ruffinelli, Carolin Lawrence, Graham Neubig:
KGxBoard: Explainable and Interactive Leaderboard for Evaluation of Knowledge Graph Completion Models. CoRR abs/2208.11024 (2022) - [i41]Luyu Gao, Aman Madaan, Shuyan Zhou, Uri Alon, Pengfei Liu, Yiming Yang, Jamie Callan, Graham Neubig:
PAL: Program-aided Language Models. CoRR abs/2211.10435 (2022) - [i40]Yiwei Qin, Weizhe Yuan, Graham Neubig, Pengfei Liu:
T5Score: Discriminative Fine-tuning of Generative Evaluation Metrics. CoRR abs/2212.05726 (2022) - [i39]Yiwei Qin, Graham Neubig, Pengfei Liu:
Searching for Effective Multilingual Fine-Tuning Methods: A Case Study in Summarization. CoRR abs/2212.05740 (2022) - 2021
- [c40]Pengfei Liu, Jinlan Fu, Yang Xiao, Weizhe Yuan, Shuaichen Chang, Junqi Dai, Yixin Liu, Zihuiwen Ye, Graham Neubig:
ExplainaBoard: An Explainable Leaderboard for NLP. ACL (demo) 2021: 280-289 - [c39]Vijay Viswanathan, Graham Neubig, Pengfei Liu:
CitationIE: Leveraging the Citation Graph for Scientific Information Extraction. ACL/IJCNLP (1) 2021: 719-731 - [c38]Yixin Liu, Pengfei Liu:
SimCLS: A Simple Framework for Contrastive Learning of Abstractive Summarization. ACL/IJCNLP (2) 2021: 1065-1072 - [c37]Jinlan Fu, Xuanjing Huang, Pengfei Liu:
SpanNER: Named Entity Re-/Recognition as Span Prediction. ACL/IJCNLP (1) 2021: 7183-7195 - [c36]Zihuiwen Ye, Pengfei Liu, Jinlan Fu, Graham Neubig:
Towards More Fine-grained and Reliable NLP Performance Prediction. EACL 2021: 3703-3714 - [c35]Yiran Chen, Pengfei Liu, Xipeng Qiu:
Are Factuality Checkers Reliable? Adversarial Meta-evaluation of Factuality in Summarization. EMNLP (Findings) 2021: 2082-2095 - [c34]Sebastian Ruder, Noah Constant, Jan A. Botha, Aditya Siddhant, Orhan Firat, Jinlan Fu, Pengfei Liu, Junjie Hu, Dan Garrette, Graham Neubig, Melvin Johnson:
XTREME-R: Towards More Challenging and Nuanced Multilingual Evaluation. EMNLP (1) 2021: 10215-10245 - [c33]Yixin Liu, Zi-Yi Dou, Pengfei Liu:
RefSum: Refactoring Neural Summarization. NAACL-HLT 2021: 1437-1448 - [c32]Jinlan Fu, Liangjing Feng, Qi Zhang, Xuanjing Huang, Pengfei Liu:
Larger-Context Tagging: When and Why Does It Work? NAACL-HLT 2021: 1463-1475 - [c31]Junqi Dai, Hang Yan, Tianxiang Sun, Pengfei Liu, Xipeng Qiu:
Does syntax matter? A strong baseline for Aspect-based Sentiment Analysis with RoBERTa. NAACL-HLT 2021: 1816-1829 - [c30]Zi-Yi Dou, Pengfei Liu, Hiroaki Hayashi, Zhengbao Jiang, Graham Neubig:
GSum: A General Framework for Guided Neural Abstractive Summarization. NAACL-HLT 2021: 4830-4842 - [c29]Weizhe Yuan, Graham Neubig, Pengfei Liu:
BARTScore: Evaluating Generated Text as Text Generation. NeurIPS 2021: 27263-27277 - [i38]Weizhe Yuan, Pengfei Liu, Graham Neubig:
Can We Automate Scientific Reviewing? CoRR abs/2102.00176 (2021) - [i37]Zihuiwen Ye, Pengfei Liu, Jinlan Fu, Graham Neubig:
Towards More Fine-grained and Reliable NLP Performance Prediction. CoRR abs/2102.05486 (2021) - [i36]Jinlan Fu, Liangjing Feng, Qi Zhang, Xuanjing Huang, Pengfei Liu:
Larger-Context Tagging: When and Why Does It Work? CoRR abs/2104.04434 (2021) - [i35]Junqi Dai, Hang Yan, Tianxiang Sun, Pengfei Liu, Xipeng Qiu:
Does syntax matter? A strong baseline for Aspect-based Sentiment Analysis with RoBERTa. CoRR abs/2104.04986 (2021) - [i34]Pengfei Liu, Jinlan Fu, Yang Xiao, Weizhe Yuan, Shuaichen Chang, Junqi Dai, Yixin Liu, Zihuiwen Ye, Graham Neubig:
EXPLAINABOARD: An Explainable Leaderboard for NLP. CoRR abs/2104.06387 (2021) - [i33]Yixin Liu, Zi-Yi Dou, Pengfei Liu:
RefSum: Refactoring Neural Summarization. CoRR abs/2104.07210 (2021) - [i32]Sebastian Ruder, Noah Constant, Jan A. Botha, Aditya Siddhant, Orhan Firat, Jinlan Fu, Pengfei Liu, Junjie Hu, Graham Neubig, Melvin Johnson:
XTREME-R: Towards More Challenging and Nuanced Multilingual Evaluation. CoRR abs/2104.07412 (2021) - [i31]Jinlan Fu, Xuanjing Huang, Pengfei Liu:
SpanNER: Named Entity Re-/Recognition as Span Prediction. CoRR abs/2106.00641 (2021) - [i30]Vijay Viswanathan, Graham Neubig, Pengfei Liu:
CitationIE: Leveraging the Citation Graph for Scientific Information Extraction. CoRR abs/2106.01560 (2021) - [i29]Yixin Liu, Pengfei Liu:
SimCLS: A Simple Framework for Contrastive Learning of Abstractive Summarization. CoRR abs/2106.01890 (2021) - [i28]Weizhe Yuan, Graham Neubig, Pengfei Liu:
BARTScore: Evaluating Generated Text as Text Generation. CoRR abs/2106.11520 (2021) - [i27]Pengfei Liu, Weizhe Yuan, Jinlan Fu, Zhengbao Jiang, Hiroaki Hayashi, Graham Neubig:
Pre-train, Prompt, and Predict: A Systematic Survey of Prompting Methods in Natural Language Processing. CoRR abs/2107.13586 (2021) - 2020
- [c28]Jinlan Fu, Pengfei Liu, Qi Zhang:
Rethinking Generalization of Neural Models: A Named Entity Recognition Case Study. AAAI 2020: 7732-7739 - [c27]Qipeng Guo, Xipeng Qiu, Pengfei Liu, Xiangyang Xue, Zheng Zhang:
Multi-Scale Self-Attention for Text Classification. AAAI 2020: 7847-7854 - [c26]Tianxiang Sun, Yunfan Shao, Xiaonan Li, Pengfei Liu, Hang Yan, Xipeng Qiu, Xuanjing Huang:
Learning Sparse Sharing Architectures for Multiple Tasks. AAAI 2020: 8936-8943 - [c25]Ming Zhong, Pengfei Liu, Yiran Chen, Danqing Wang, Xipeng Qiu, Xuanjing Huang:
Extractive Summarization as Text Matching. ACL 2020: 6197-6208 - [c24]Danqing Wang, Pengfei Liu, Yining Zheng, Xipeng Qiu, Xuanjing Huang:
Heterogeneous Graph Neural Networks for Extractive Document Summarization. ACL 2020: 6209-6219 - [c23]Yiran Chen, Pengfei Liu, Ming Zhong, Zi-Yi Dou, Danqing Wang, Xipeng Qiu, Xuanjing Huang:
An Empirical Study of Cross-Dataset Evaluation for Neural Summarization Systems. EMNLP (Findings) 2020: 3679-3691 - [c22]Jinlan Fu, Pengfei Liu, Qi Zhang, Xuanjing Huang:
RethinkCWS: Is Chinese Word Segmentation a Solved Task? EMNLP (1) 2020: 5676-5686 - [c21]Jinlan Fu, Pengfei Liu, Graham Neubig:
Interpretable Multi-dataset Evaluation for Named Entity Recognition. EMNLP (1) 2020: 6058-6069 - [c20]Manik Bhandari, Pranav Narayan Gour, Atabak Ashfaq, Pengfei Liu, Graham Neubig:
Re-evaluating Evaluation in Text Summarization. EMNLP (1) 2020: 9347-9359 - [i26]Jinlan Fu, Pengfei Liu, Qi Zhang, Xuanjing Huang:
Rethinking Generalization of Neural Models: A Named Entity Recognition Case Study. CoRR abs/2001.03844 (2020) - [i25]Ming Zhong, Pengfei Liu, Yiran Chen, Danqing Wang, Xipeng Qiu, Xuanjing Huang:
Extractive Summarization as Text Matching. CoRR abs/2004.08795 (2020) - [i24]Danqing Wang, Pengfei Liu, Yining Zheng, Xipeng Qiu, Xuanjing Huang:
Heterogeneous Graph Neural Networks for Extractive Document Summarization. CoRR abs/2004.12393 (2020) - [i23]Yiran Chen, Pengfei Liu, Ming Zhong, Zi-Yi Dou, Danqing Wang, Xipeng Qiu, Xuanjing Huang:
CDEvalSumm: An Empirical Study of Cross-Dataset Evaluation for Neural Summarization Systems. CoRR abs/2010.05139 (2020) - [i22]Manik Bhandari, Pranav Narayan Gour, Atabak Ashfaq, Pengfei Liu, Graham Neubig:
Re-evaluating Evaluation in Text Summarization. CoRR abs/2010.07100 (2020) - [i21]Zi-Yi Dou, Pengfei Liu, Hiroaki Hayashi, Zhengbao Jiang, Graham Neubig:
GSum: A General Framework for Guided Neural Abstractive Summarization. CoRR abs/2010.08014 (2020) - [i20]Jinlan Fu, Pengfei Liu, Graham Neubig:
Interpretable Multi-dataset Evaluation for Named Entity Recognition. CoRR abs/2011.06854 (2020) - [i19]Jinlan Fu, Pengfei Liu, Qi Zhang, Xuanjing Huang:
RethinkCWS: Is Chinese Word Segmentation a Solved Task? CoRR abs/2011.06858 (2020)
2010 – 2019
- 2019
- [c19]Pengfei Liu, Jie Fu, Yue Dong, Xipeng Qiu, Jackie Chi Kit Cheung:
Learning Multi-Task Communication with Message Passing for Sequence Learning. AAAI 2019: 4360-4367 - [c18]Pengfei Liu, Shuaichen Chang, Xuanjing Huang, Jian Tang, Jackie Chi Kit Cheung:
Contextualized Non-Local Neural Networks for Sequence Learning. AAAI 2019: 6762-6769 - [c17]Ming Zhong, Pengfei Liu, Danqing Wang, Xipeng Qiu, Xuanjing Huang:
Searching for Effective Neural Extractive Summarization: What Works and What's Next. ACL (1) 2019: 1049-1058 - [c16]Dayiheng Liu, Jie Fu, Pengfei Liu, Jiancheng Lv:
TIGS: An Inference Algorithm for Text Infilling with Gradient Search. ACL (1) 2019: 4146-4156 - [c15]Qipeng Guo, Xipeng Qiu, Pengfei Liu, Yunfan Shao, Xiangyang Xue, Zheng Zhang:
Star-Transformer. NAACL-HLT (1) 2019: 1315-1325 - [i18]Qipeng Guo, Xipeng Qiu, Pengfei Liu, Yunfan Shao, Xiangyang Xue, Zheng Zhang:
Star-Transformer. CoRR abs/1902.09113 (2019) - [i17]Dayiheng Liu, Jie Fu, Pengfei Liu, Jiancheng Lv:
TIGS: An Inference Algorithm for Text Infilling with Gradient Search. CoRR abs/1905.10752 (2019) - [i16]Ming Zhong, Pengfei Liu, Danqing Wang, Xipeng Qiu, Xuanjing Huang:
Searching for Effective Neural Extractive Summarization: What Works and What's Next. CoRR abs/1907.03491 (2019) - [i15]Zehui Lin, Pengfei Liu, Luyao Huang, Junkun Chen, Xipeng Qiu, Xuanjing Huang:
DropAttention: A Regularization Method for Fully-Connected Self-Attention Networks. CoRR abs/1907.11065 (2019) - [i14]Danqing Wang, Pengfei Liu, Ming Zhong, Jie Fu, Xipeng Qiu, Xuanjing Huang:
Exploring Domain Shift in Extractive Text Summarization. CoRR abs/1908.11664 (2019) - [i13]Ming Zhong, Danqing Wang, Pengfei Liu, Xipeng Qiu, Xuanjing Huang:
A Closer Look at Data Bias in Neural Extractive Summarization Models. CoRR abs/1909.13705 (2019) - [i12]Tianxiang Sun, Yunfan Shao, Xiaonan Li, Pengfei Liu, Hang Yan, Xipeng Qiu, Xuanjing Huang:
Learning Sparse Sharing Architectures for Multiple Tasks. CoRR abs/1911.05034 (2019) - [i11]Qipeng Guo, Xipeng Qiu, Pengfei Liu, Xiangyang Xue, Zheng Zhang:
Multi-Scale Self-Attention for Text Classification. CoRR abs/1912.00544 (2019) - 2018
- [c14]Junkun Chen, Xipeng Qiu, Pengfei Liu, Xuanjing Huang:
Meta Multi-Task Learning for Sequence Modeling. AAAI 2018: 5070-5077 - [i10]Junkun Chen, Xipeng Qiu, Pengfei Liu, Xuanjing Huang:
Meta Multi-Task Learning for Sequence Modeling. CoRR abs/1802.08969 (2018) - [i9]Pengfei Liu, Xuanjing Huang:
Meta-Learning Multi-task Communication. CoRR abs/1810.09988 (2018) - [i8]Pengfei Liu, Shuaichen Chang, Xuanjing Huang, Jian Tang, Jackie Chi Kit Cheung:
Contextualized Non-local Neural Networks for Sequence Learning. CoRR abs/1811.08600 (2018) - [i7]Pengfei Liu, Jie Fu, Yue Dong, Xipeng Qiu, Jackie Chi Kit Cheung:
Multi-task Learning over Graph Structures. CoRR abs/1811.10211 (2018) - 2017
- [c13]Pengfei Liu, Xipeng Qiu, Xuanjing Huang:
Adversarial Multi-task Learning for Text Classification. ACL (1) 2017: 1-10 - [c12]Pengfei Liu, Kaiyu Qian, Xipeng Qiu, Xuanjing Huang:
Idiom-Aware Compositional Distributed Semantics. EMNLP 2017: 1204-1213 - [c11]Pengfei Liu, Xipeng Qiu, Xuanjing Huang:
Dynamic Compositional Neural Networks over Tree Structure. IJCAI 2017: 4054-4060 - [c10]Pengfei Liu, Xipeng Qiu, Xuanjing Huang:
Adaptive Semantic Compositionality for Sentence Modelling. IJCAI 2017: 4061-4067 - [i6]Pengfei Liu, Xipeng Qiu, Xuanjing Huang:
Adversarial Multi-task Learning for Text Classification. CoRR abs/1704.05742 (2017) - [i5]Pengfei Liu, Xipeng Qiu, Xuanjing Huang:
Dynamic Compositional Neural Networks over Tree Structure. CoRR abs/1705.04153 (2017) - 2016
- [c9]Jifan Chen, Qi Zhang, Pengfei Liu, Xuanjing Huang:
Discourse Relations Detection via a Mixed Generative-Discriminative Framework. AAAI 2016: 2921-2927 - [c8]Jifan Chen, Qi Zhang, Pengfei Liu, Xipeng Qiu, Xuanjing Huang:
Implicit Discourse Relation Detection via a Deep Architecture with Gated Relevance Network. ACL (1) 2016 - [c7]Pengfei Liu, Xipeng Qiu, Jifan Chen, Xuanjing Huang:
Deep Fusion LSTMs for Text Semantic Matching. ACL (1) 2016 - [c6]Pengfei Liu, Xipeng Qiu, Xuanjing Huang:
Deep Multi-Task Learning with Shared Memory for Text Classification. EMNLP 2016: 118-127 - [c5]Pengfei Liu, Xipeng Qiu, Yaqian Zhou, Jifan Chen, Xuanjing Huang:
Modelling Interaction of Sentence Pair with Coupled-LSTMs. EMNLP 2016: 1703-1712 - [c4]Pengfei Liu, Xipeng Qiu, Xuanjing Huang:
Recurrent Neural Network for Text Classification with Multi-Task Learning. IJCAI 2016: 2873-2879 - [i4]Pengfei Liu, Xipeng Qiu, Xuanjing Huang:
Recurrent Neural Network for Text Classification with Multi-Task Learning. CoRR abs/1605.05101 (2016) - [i3]Pengfei Liu, Xipeng Qiu, Xuanjing Huang:
Modelling Interaction of Sentence Pair with coupled-LSTMs. CoRR abs/1605.05573 (2016) - [i2]Pengfei Liu, Xipeng Qiu, Xuanjing Huang:
Syntax-based Attention Model for Natural Language Inference. CoRR abs/1607.06556 (2016) - [i1]Pengfei Liu, Xipeng Qiu, Xuanjing Huang:
Deep Multi-Task Learning with Shared Memory. CoRR abs/1609.07222 (2016) - 2015
- [c3]Xinchi Chen, Xipeng Qiu, Chenxi Zhu, Pengfei Liu, Xuanjing Huang:
Long Short-Term Memory Neural Networks for Chinese Word Segmentation. EMNLP 2015: 1197-1206 - [c2]Pengfei Liu, Xipeng Qiu, Xinchi Chen, Shiyu Wu, Xuanjing Huang:
Multi-Timescale Long Short-Term Memory Neural Network for Modelling Sentences and Documents. EMNLP 2015: 2326-2335 - [c1]Pengfei Liu, Xipeng Qiu, Xuanjing Huang:
Learning Context-Sensitive Word Embeddings with Neural Tensor Skip-Gram Model. IJCAI 2015: 1284-1290
Coauthor Index
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