Pengfei Liu

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All published works

Action	Title	Year	Authors
+ PDF Chat	DIVE: Diversified Iterative Self-Improvement	2025	Yiwei Qin Yixiu Liu Pengfei Liu
+	MedBench: A Comprehensive, Standardized, and Reliable Benchmarking System for Evaluating Chinese Medical Large Language Models	2024	Mianxin Liu Weiguo Hu Jinru Ding Jie Xu Xiaoyang Li Lifeng Zhu Zhian Bai Xiaoming Shi Benyou Wang Haitao Song
+ PDF Chat	Data Contamination Report from the 2024 CONDA Shared Task	2024	Oscar Sainz Iker García-Ferrero Alon Jacovi Jon Ander Campos Yanai Elazar Eneko Agirre Yoav Goldberg W. Chen Jenny Chim Leshem Choshen
+ PDF Chat	Halu-J: Critique-Based Hallucination Judge	2024	Binjie Wang Steffi Chern Ethan Chern Pengfei Liu
+ PDF Chat	Progress or Regress? Self-Improvement Reversal in Post-training	2024	Ting Wu Xuefeng Li Pengfei Liu
+ PDF Chat	MedBench: A Comprehensive, Standardized, and Reliable Benchmarking System for Evaluating Chinese Medical Large Language Models	2024	Mianxin Liu Jinru Ding Jie Xu Weiguo Hu Xiaoyang Li Lifeng Zhu Zhian Bai Xiaoming Shi Benyou Wang Haitao Song
+ PDF Chat	BeHonest: Benchmarking Honesty of Large Language Models	2024	Steffi Chern Zhulin Hu Yuqing Yang Ethan Chern Yuan Guo Jiahe Jin Binjie Wang Pengfei Liu
+ PDF Chat	Prompt Chaining or Stepwise Prompt? Refinement in Text Summarization	2024	Shichao Sun Ruifeng Yuan Ziqiang Cao W. Z. Li Pengfei Liu
+ PDF Chat	LLMCRIT: Teaching Large Language Models to Use Criteria	2024	Weizhe Yuan Pengfei Liu Matthias Gallé
+	InFoBench: Evaluating Instruction Following Ability in Large Language Models	2024	Yiwei Qin Kaiqiang Song Yebowen Hu Wenlin Yao Sangwoo Cho Xiaoyang Wang Xuansheng Wu Fei Liu Pengfei Liu Dong Yu
+	Extending LLMs' Context Window with 100 Samples	2024	Yikai Zhang Junlong Li Pengfei Liu
+ PDF Chat	Benchmarking Generation and Evaluation Capabilities of Large Language Models for Instruction Controllable Summarization	2024	Yixin Liu Alexander R. Fabbri Jiawen Chen Yilun Zhao Simeng Han Shafiq Joty Pengfei Liu Dragomir Radev Chien-Sheng Wu Arman Cohan
+	Towards Interpretable and Efficient Automatic Reference-Based Summarization Evaluation	2023	Yixin Liu Alexander R. Fabbri Yilun Zhao Pengfei Liu Shafiq Joty Chien-Sheng Wu Caiming Xiong Dragomir Radev
+	MusicFace: Music-driven Expressive Singing Face Synthesis	2023	Pengfei Liu Wenjin Deng Hengda Li Jintai Wang Yinglin Zheng Yiwei Ding Xianfeng Gu Ming Zeng
+	On Learning to Summarize with Large Language Models as References	2023	Yixin Liu Alexander R. Fabbri Pengfei Liu Dragomir Radev Arman Cohan
+	Revisiting the Gold Standard: Grounding Summarization Evaluation with Robust Human Evaluation	2023	Yixin Liu Alex Fabbri Pengfei Liu Yilun Zhao Linyong Nan Ruilin Han Simeng Han Shafiq Joty Chien-Sheng Wu Caiming Xiong
+	Being Aware of Localization Accuracy By Generating Predicted-IoU-Guided Quality Scores	2023	Pengfei Liu Weibo Wang Y. Guo Jiubin Tan
+	FELM: Benchmarking Factuality Evaluation of Large Language Models	2023	Shiqi Chen Yiran Zhao Jinghan Zhang I-Chun Chern Siyang Gao Pengfei Liu Junxian He
+	Let's reward step by step: Step-Level reward model as the Navigators for Reasoning	2023	Qianli Ma Haotian Zhou Tingkai Liu Jianbo Yuan Pengfei Liu You Yang Hongxia Yang
+	LoBaSS: Gauging Learnability in Supervised Fine-tuning Data	2023	Haotian Zhou Tingkai Liu Qianli Ma Jianbo Yuan Pengfei Liu Yang You Hongxia Yang
+	Benchmarking Generation and Evaluation Capabilities of Large Language Models for Instruction Controllable Summarization	2023	Yixin Liu Alexander R. Fabbri Jiawen Chen Yilun Zhao Simeng Han Shafiq Joty Pengfei Liu Dragomir Radev Chien-Sheng Wu Arman Cohan
+	Align on the Fly: Adapting Chatbot Behavior to Established Norms	2023	Chunpu Xu Steffi Chern Ethan Chern Ge Zhang Zekun Wang Ruibo Liu Jing Li Jie Fu Pengfei Liu
+	Generative AI for Math: Part I -- MathPile: A Billion-Token-Scale Pretraining Corpus for Math	2023	Zengzhi Wang Rui Xia Pengfei Liu
+ PDF Chat	Improving Rare Words Recognition through Homophone Extension and Unified Writing for Low-resource Cantonese Speech Recognition	2022	Ho-Lam Chung Junan Li Pengfei Liu Wai-Kim Leung Xixin Wu Helen Meng
+	The MSXF TTS System for ICASSP 2022 ADD Challenge	2022	Chunyong Yang Pengfei Liu Yanli Chen Hongbin Wang Min Liu
+ PDF Chat	BRIO: Bringing Order to Abstractive Summarization	2022	Yixin Liu Pengfei Liu Dragomir Radev Graham Neubig
+	reStructured Pre-training	2022	Weizhe Yuan Pengfei Liu
+	Towards a Unified Multi-Dimensional Evaluator for Text Generation	2022	Ming Zhong Yang Liu Da Yin Yuning Mao Yizhu Jiao Pengfei Liu Chenguang Zhu Heng Ji Jiawei Han
+	Are All the Datasets in Benchmark Necessary? A Pilot Study of Dataset Evaluation for Text Classification	2022	Xiao Yang Jinlan Fu See-Kiong Ng Pengfei Liu
+	Revisiting the Gold Standard: Grounding Summarization Evaluation with Robust Human Evaluation	2022	Yixin Liu Alexander R. Fabbri Pengfei Liu Yilun Zhao Linyong Nan Ruilin Han Simeng Han Shafiq Joty Chien-Sheng Wu Caiming Xiong
+	Group Gated Fusion on Attention-based Bidirectional Alignment for Multimodal Emotion Recognition	2022	Pengfei Liu Kun Li Helen Meng
+ PDF Chat	Out-of-Scope Domain and Intent Classification through Hierarchical Joint Modeling	2022	Pengfei Liu Kun Li Helen Meng
+ PDF Chat	Towards a Unified Multi-Dimensional Evaluator for Text Generation	2022	Ming Zhong Yang Liu Da Yin Yuning Mao Yizhu Jiao Pengfei Liu Chenguang Zhu Heng Ji Jiawei Han
+ PDF Chat	ArchaeoDAL: A Data Lake for Archaeological Data Management and Analytics	2021	Pengfei Liu Sabine Loudcher Jérôme Darmont Camille Noûs
+	Hierarchical Modeling for Out-of-Scope Domain and Intent Classification.	2021	Pengfei Liu Kun Li Helen Meng
+	Coining goldMEDAL: A New Contribution to Data Lake Generic Metadata Modeling	2021	Étienne Scholly Pegdwendé N. Sawadogo Pengfei Liu Javier A. Espinosa-Oviedo Cécile Favre Sabine Loudcher Jérôme Darmont Camille Noûs
+	Does syntax matter? A strong baseline for Aspect-based Sentiment Analysis with RoBERTa	2021	Junqi Dai Hang Yan Tianxiang Sun Pengfei Liu Xipeng Qiu
+	Towards More Fine-grained and Reliable NLP Performance Prediction	2021	Zihuiwen Ye Pengfei Liu Jinlan Fu Graham Neubig
+	Open Intent Discovery through Unsupervised Semantic Clustering and Dependency Parsing	2021	Pengfei Liu Youzhang Ning King Keung Wu Kun Li Helen Meng
+ PDF Chat	Larger-Context Tagging: When and Why Does It Work?	2021	Jinlan Fu Liangjing Feng Qi Zhang Xuanjing Huang Pengfei Liu
+ PDF Chat	Does syntax matter? A strong baseline for Aspect-based Sentiment Analysis with RoBERTa	2021	Junqi Dai Hang Yan Tianxiang Sun Pengfei Liu Xipeng Qiu
+ PDF Chat	RefSum: Refactoring Neural Summarization	2021	Yixin Liu Zi-Yi Dou Pengfei Liu
+	How well do you know your summarization datasets?	2021	Priyam Tejaswin Dhruv Naik Pengfei Liu
+	How well do you know your summarization datasets?	2021	Priyam Tejaswin Dhruv Naik Pengfei Liu
+	goldMEDAL : une nouvelle contribution {à} la mod{é}lisation g{é}n{é}rique des m{é}tadonn{é}es des lacs de donn{é}es	2021	Étienne Scholly Pegdwendé N. Sawadogo Pengfei Liu Javier A. Espinosa-Oviedo Cécile Favre Sabine Loudcher Jérôme Darmont Camille Noûs
+	Out-of-Scope Domain and Intent Classification through Hierarchical Joint Modeling	2021	Pengfei Liu Kun Li Helen Meng
+ PDF Chat	Group Gated Fusion on Attention-Based Bidirectional Alignment for Multimodal Emotion Recognition	2020	Pengfei Liu Kun Li Helen Meng
+	Re-evaluating Evaluation in Text Summarization	2020	Manik Bhandari Pranav Narayan Gour Atabak Ashfaq Pengfei Liu Graham Neubig
+ PDF Chat	Rethinking Generalization of Neural Models: A Named Entity Recognition Case Study	2020	Jinlan Fu Pengfei Liu Qi Zhang
+ PDF Chat	Multi-Scale Self-Attention for Text Classification	2020	Qipeng Guo Xipeng Qiu Pengfei Liu Xiangyang Xue Zheng Zhang
+ PDF Chat	Zero-Shot Text-to-SQL Learning with Auxiliary Task	2020	Shuaichen Chang Pengfei Liu Yun Tang Jing Huang Xiaodong He Bowen Zhou
+	Rethinking Generalization of Neural Models: A Named Entity Recognition Case Study	2020	Jinlan Fu Pengfei Liu Qi Zhang Xuanjing Huang
+	Extractive Summarization as Text Matching	2020	Ming Zhong Pengfei Liu Yiran Chen Danqing Wang Xipeng Qiu Xuanjing Huang
+	Heterogeneous Graph Neural Networks for Extractive Document Summarization	2020	Danqing Wang Pengfei Liu Yining Zheng Xipeng Qiu Xuanjing Huang
+	Heterogeneous Graph Neural Networks for Extractive Document Summarization	2020	Danqing Wang Pengfei Liu Yining Zheng Xipeng Qiu Xuanjing Huang
+	Extractive Summarization as Text Matching	2020	Ming Zhong Pengfei Liu Yiran Chen Danqing Wang Xipeng Qiu Xuanjing Huang
+	CDEvalSumm: An Empirical Study of Cross-Dataset Evaluation for Neural Summarization Systems	2020	Yiran Chen Pengfei Liu Ming Zhong Zi-Yi Dou Danqing Wang Xipeng Qiu Xuanjing Huang
+	Interpretable Multi-dataset Evaluation for Named Entity Recognition	2020	Jinlan Fu Pengfei Liu Graham Neubig
+	RethinkCWS: Is Chinese Word Segmentation a Solved Task?	2020	Jinlan Fu Pengfei Liu Qi Zhang Xuanjing Huang
+	RethinkCWS: Is Chinese Word Segmentation a Solved Task?	2020	Jinlan Fu Pengfei Liu Qi Zhang Xuanjing Huang
+	Interpretable Multi-dataset Evaluation for Named Entity Recognition	2020	Jinlan Fu Pengfei Liu Graham Neubig
+ PDF Chat	Metrics also Disagree in the Low Scoring Range: Revisiting Summarization Evaluation Metrics	2020	Manik Bhandari Pranav Narayan Gour Atabak Ashfaq Pengfei Liu
+ PDF Chat	Contextualized Non-Local Neural Networks for Sequence Learning	2019	Pengfei Liu Shuaichen Chang Xuanjing Huang Jian Tang Jackie Chi Kit Cheung
+	Searching for Effective Neural Extractive Summarization: What Works and What's Next	2019	Ming Zhong Pengfei Liu Danqing Wang Xipeng Qiu Xuanjing Huang
+	DropAttention: A Regularization Method for Fully-Connected Self-Attention Networks	2019	Zehui Lin Pengfei Liu Luyao Huang Jie Fu Junkun Chen Xipeng Qiu Xuanjing Huang
+	Searching for Effective Neural Extractive Summarization: What Works and What’s Next	2019	Ming Zhong Pengfei Liu Danqing Wang Xipeng Qiu Xuanjing Huang
+	Exploring Domain Shift in Extractive Text Summarization	2019	Danqing Wang Pengfei Liu Ming Zhong Jie Fu Xipeng Qiu Xuanjing Huang
+	A Closer Look at Data Bias in Neural Extractive Summarization Models	2019	Ming Zhong Danqing Wang Pengfei Liu Xipeng Qiu Xuanjing Huang
+	A Closer Look at Data Bias in Neural Extractive Summarization Models	2019	Ming Zhong Danqing Wang Pengfei Liu Xipeng Qiu Xuanjing Huang
+	TIGS: An Inference Algorithm for Text Infilling with Gradient Search	2019	Dayiheng Liu Jie Fu Pengfei Liu Jiancheng Lv
+	Exploiting Effective Representations for Chinese Sentiment Analysis Using a Multi-Channel Convolutional Neural Network	2018	Pengfei Liu Ji Zhang Cane Wing-ki Leung Chao He Thomas L. Griffiths
+	Meta-Learning Multi-task Communication	2018	Pengfei Liu Xuanjing Huang
+	Contextualized Non-local Neural Networks for Sequence Learning	2018	Pengfei Liu Shuaichen Chang Xuanjing Huang Jian Tang Jackie Chi Kit Cheung
+	Multi-task Learning over Graph Structures	2018	Pengfei Liu Jie Fu Yue Dong Xipeng Qiu Jackie Chi Kit Cheung
+	Meta Multi-Task Learning for Sequence Modeling	2018	Junkun Chen Xipeng Qiu Pengfei Liu Xuanjing Huang
+	Dynamic Compositional Neural Networks over Tree Structure	2017	Pengfei Liu Xipeng Qiu Xuanjing Huang
+	Adversarial Multi-task Learning for Text Classification	2017	Pengfei Liu Xipeng Qiu Xuanjing Huang
+	Dynamic Compositional Neural Networks over Tree Structure	2017	Pengfei Liu Xipeng Qiu Xuanjing Huang
+ PDF Chat	Adversarial Multi-task Learning for Text Classification	2017	Pengfei Liu Xipeng Qiu Xuanjing Huang
+	Recurrent neural network for text classification with multi-task learning	2016	Pengfei Liu Xipeng Qiu Xuanjing Huang
+	Modelling Interaction of Sentence Pair with coupled-LSTMs	2016	Pengfei Liu Xipeng Qiu Xuanjing Huang
+	Recurrent Neural Network for Text Classification with Multi-Task Learning	2016	Pengfei Liu Xipeng Qiu Xuanjing Huang
+	Syntax-based Attention Model for Natural Language Inference	2016	Pengfei Liu Xipeng Qiu Xuanjing Huang
+	Deep Multi-Task Learning with Shared Memory	2016	Pengfei Liu Xipeng Qiu Xuanjing Huang
+ PDF Chat	Modelling Interaction of Sentence Pair with Coupled-LSTMs	2016	Pengfei Liu Xipeng Qiu Yaqian Zhou Jifan Chen Xuanjing Huang

Common Coauthors

Coauthor	Papers Together
Xuanjing Huang	31
Xipeng Qiu	26
Danqing Wang	10
Jinlan Fu	9
Ming Zhong	8
Yixin Liu	8
Dragomir Radev	7
Helen Meng	6
Yilun Zhao	5
Alexander R. Fabbri	5
Shafiq Joty	5
Chien-Sheng Wu	5
Graham Neubig	5
Jie Fu	4
Kun Li	4
Simeng Han	4
Camille Noûs	3
Jérôme Darmont	3
Shuaichen Chang	3
Arman Cohan	3
Yiran Chen	3
Sabine Loudcher	3
Steffi Chern	3
Caiming Xiong	3
Jackie Chi Kit Cheung	3
Ethan Chern	3
Cécile Favre	2
Jian Tang	2
Linyong Nan	2
Tong Ruan	2
Manik Bhandari	2
Pranav Narayan Gour	2
Binjie Wang	2
Javier A. Espinosa-Oviedo	2
Dhruv Naik	2
Jie Xu	2
Yizhu Jiao	2
Zi-Yi Dou	2
Tianxiang Sun	2
Junqi Dai	2
Yining Zheng	2
Benyou Wang	2
Junkun Chen	2
Mianxin Liu	2
Atabak Ashfaq	2
Pegdwendé N. Sawadogo	2
Weizhe Yuan	2
Shaoting Zhang	2
Jiawei Han	2
Jianbo Yuan	2

Commonly Cited References

Action	Title	Year	Authors	# of times referenced
+	Attention is All you Need	2017	Ashish Vaswani Noam Shazeer Niki Parmar Jakob Uszkoreit Llion Jones Aidan N. Gomez Łukasz Kaiser Illia Polosukhin	15
+	Abstractive Text Summarization using Sequence-to-sequence RNNs and Beyond	2016	Ramesh Nallapati Bowen Zhou Cícero dos Santos Çaǧlar Gülçehre Bing Xiang	15
+	Deep Contextualized Word Representations	2018	Matthew E. Peters Mark E Neumann Mohit Iyyer Matt Gardner Christopher Clark Kenton Lee Luke Zettlemoyer	15
+ PDF Chat	Get To The Point: Summarization with Pointer-Generator Networks	2017	Abigail See Peter J. Liu Christopher D. Manning	14
+	BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding	2018	Jacob Devlin Ming‐Wei Chang Kenton Lee Kristina Toutanova	14
+	Teaching Machines to Read and Comprehend	2015	Karl Moritz Hermann Tomáš Kočiský Edward Grefenstette Lasse Espeholt Will Kay Mustafa Suleyman Phil Blunsom	14
+	Searching for Effective Neural Extractive Summarization: What Works and What’s Next	2019	Ming Zhong Pengfei Liu Danqing Wang Xipeng Qiu Xuanjing Huang	13
+ PDF Chat	Bottom-Up Abstractive Summarization	2018	Sebastian Gehrmann Yuntian Deng Alexander M. Rush	12
+	SummaRuNNer: A Recurrent Neural Network based Sequence Model for Extractive Summarization of Documents	2016	Ramesh Nallapati Feifei Zhai Bowen Zhou	12
+	Ranking Sentences for Extractive Summarization with Reinforcement Learning	2018	Shashi Narayan Shay B. Cohen Mirella Lapata	12
+ PDF Chat	Neural Document Summarization by Jointly Learning to Score and Select Sentences	2018	Qingyu Zhou Nan Yang Furu Wei Shaohan Huang Ming Zhou Tiejun Zhao	11
+ PDF Chat	Don’t Give Me the Details, Just the Summary! Topic-Aware Convolutional Neural Networks for Extreme Summarization	2018	Shashi Narayan Shay B. Cohen Mirella Lapata	11
+	A Convolutional Neural Network for Modelling Sentences	2014	Nal Kalchbrenner Edward Grefenstette Phil Blunsom	11
+	Newsroom: A Dataset of 1.3 Million Summaries with Diverse Extractive Strategies	2018	Max Grusky Mor Naaman Yoav Artzi	11
+ PDF Chat	BanditSum: Extractive Summarization as a Contextual Bandit	2018	Yue Dong Yikang Shen Eric Crawford Herke van Hoof Jackie Chi Kit Cheung	11
+	Efficient Estimation of Word Representations in Vector Space	2013	Tomáš Mikolov Kai Chen Greg S. Corrado Jay B. Dean	10
+ PDF Chat	Fast Abstractive Summarization with Reinforce-Selected Sentence Rewriting	2018	Yen-Chun Chen Mohit Bansal	10
+	Natural Language Processing (almost) from Scratch	2011	Ronan Collobert Jason Weston Léon Bottou Michael Karlen Koray Kavukcuoglu Pavel P. Kuksa	10
+	Teaching Machines to Read and Comprehend	2015	Karl Moritz Hermann Tomáš Kočiský Edward Grefenstette Lasse Espeholt Will Kay Mustafa Suleyman Phil Blunsom	10
+ PDF Chat	Neural Summarization by Extracting Sentences and Words	2016	Jianpeng Cheng Mirella Lapata	10
+	Improved Semantic Representations From Tree-Structured Long Short-Term Memory Networks	2015	Kai Sheng Tai Richard Socher Christopher D. Manning	9
+	A Deep Reinforced Model for Abstractive Summarization	2017	Romain Paulus Caiming Xiong Richard Socher	9
+	Attention Is All You Need	2017	Ashish Vaswani Noam Shazeer Niki Parmar Jakob Uszkoreit Llion Jones Aidan N. Gomez Łukasz Kaiser Illia Polosukhin	9
+	Bidirectional LSTM-CRF Models for Sequence Tagging	2015	Zhiheng Huang Wei Xu Kai Yu	9
+	Text Summarization with Pretrained Encoders	2019	Yang Liu Mirella Lapata	9
+	Extractive Summarization as Text Matching	2020	Ming Zhong Pengfei Liu Yiran Chen Danqing Wang Xipeng Qiu Xuanjing Huang	8
+	A Closer Look at Data Bias in Neural Extractive Summarization Models	2019	Ming Zhong Danqing Wang Pengfei Liu Xipeng Qiu Xuanjing Huang	8
+	RoBERTa: A Robustly Optimized BERT Pretraining Approach	2019	Yinhan Liu Myle Ott Naman Goyal Jingfei Du Mandar Joshi Danqi Chen Omer Levy Mike Lewis Luke Zettlemoyer Veselin Stoyanov	7
+	Exploring Domain Shift in Extractive Text Summarization	2019	Danqing Wang Pengfei Liu Ming Zhong Jie Fu Xipeng Qiu Xuanjing Huang	7
+ PDF Chat	End-to-end Sequence Labeling via Bi-directional LSTM-CNNs-CRF	2016	Xuezhe Ma Eduard Hovy	7
+	Fine-tune BERT for Extractive Summarization	2019	Yang Liu	7
+	BERTScore: Evaluating Text Generation with BERT	2019	Tianyi Zhang Varsha Kishore Felix Wu Kilian Q. Weinberger Yoav Artzi	7
+	MoverScore: Text Generation Evaluating with Contextualized Embeddings and Earth Mover Distance	2019	Wei Zhao Maxime Peyrard Fei Liu Yang Gao Christian M. Meyer Steffen Eger	7
+	Sequence to Sequence Learning with Neural Networks	2014	Ilya Sutskever Oriol Vinyals Quoc V. Le	7
+	Generating Sequences With Recurrent Neural Networks	2013	Alex Graves	7
+ PDF Chat	Content Selection in Deep Learning Models of Summarization	2018	Chris Kedzie Kathleen McKeown Hal Daumé	7
+	A Convolutional Neural Network for Modelling Sentences	2014	Nal Kalchbrenner Edward Grefenstette Phil Blunsom	7
+	Deep Communicating Agents for Abstractive Summarization	2018	Aslı Çelikyılmaz Antoine Bosselut Xiaodong He Yejin Choi	6
+ PDF Chat	A Neural Attention Model for Abstractive Sentence Summarization	2015	Alexander M. Rush Sumit Chopra Jason Weston	6
+	Reinforced Extractive Summarization with Question-Focused Rewards	2018	Kristjan Arumae Fei Liu	6
+ PDF Chat	Rethinking Generalization of Neural Models: A Named Entity Recognition Case Study	2020	Jinlan Fu Pengfei Liu Qi Zhang	6
+	Efficient Estimation of Word Representations in Vector Space	2013	Tomáš Mikolov Kai Chen Greg S. Corrado Jay B. Dean	6
+	A Discourse-Aware Attention Model for Abstractive Summarization of Long Documents	2018	Arman Cohan Franck Dernoncourt Doo Soon Kim Trung Bui Seokhwan Kim Walter Chang Nazli Goharian	6
+ PDF Chat	Neural Architectures for Named Entity Recognition	2016	Guillaume Lample Miguel Ballesteros Sandeep Subramanian Kazuya Kawakami Chris Dyer	6
+	A large annotated corpus for learning natural language inference	2015	Samuel R. Bowman Gabor Angeli Christopher Potts Christopher D. Manning	5
+ PDF Chat	Adversarial Multi-task Learning for Text Classification	2017	Pengfei Liu Xipeng Qiu Xuanjing Huang	5
+ PDF Chat	SummaRuNNer: A Recurrent Neural Network Based Sequence Model for Extractive Summarization of Documents	2017	Ramesh Nallapati Feifei Zhai Bowen Zhou	5
+ PDF Chat	A Joint Many-Task Model: Growing a Neural Network for Multiple NLP Tasks	2017	Kazuma Hashimoto Caiming Xiong Yoshimasa Tsuruoka Richard Socher	5
+	WikiHow: A Large Scale Text Summarization Dataset	2018	Mahnaz Koupaee William Yang Wang	5
+ PDF Chat	Named Entity Recognition with Bidirectional LSTM-CNNs	2016	Jason Chiu Eric Nichols	5