Mo Yu

ORCID

Publication Activity (10 Years)

Years Active: 2009-2024
Publications (10 Years): 183

Top Venues

Publications

Jiangnan Li, Zheng Lin, Lanrui Wang, Qingyi Si, Yanan Cao, Mo Yu, Peng Fu, Weiping Wang, Jie Zhou
Think out Loud: Emotion Deducing Explanation in Dialogues. CoRR (2024)
Jiangnan Li, Qiujing Wang, Liyan Xu, Wenjie Pang, Mo Yu, Zheng Lin, Weiping Wang, Jie Zhou
Previously on the Stories: Recap Snippet Identification for Story Reading. CoRR (2024)
Shicheng Xu, Liang Pang, Mo Yu, Fandong Meng, Huawei Shen, Xueqi Cheng, Jie Zhou
Unsupervised Information Refinement Training of Large Language Models for Retrieval-Augmented Generation. ACL (1) (2024)
Che Jiang, Biqing Qi, Xiangyu Hong, Dayuan Fu, Yang Cheng, Fandong Meng, Mo Yu, Bowen Zhou, Jie Zhou
On Large Language Models' Hallucination with Regard to Known Facts. NAACL-HLT (2024)
Peng Ding, Jiading Fang, Peng Li, Kangrui Wang, Xiaochen Zhou, Mo Yu, Jing Li, Matthew R. Walter, Hongyuan Mei
MANGO: A Benchmark for Evaluating Mapping and Navigation Abilities of Large Language Models. CoRR (2024)
Liyan Xu, Jiangnan Li, Mo Yu, Jie Zhou
Graph Representation of Narrative Context: Coherence Dependency via Retrospective Questions. CoRR (2024)
Liyan Xu, Jiangnan Li, Mo Yu, Jie Zhou
Fine-Grained Modeling of Narrative Context: A Coherence Perspective via Retrospective Questions. ACL (1) (2024)
Cheng Yang, Guoping Huang, Mo Yu, Zhirui Zhang, Siheng Li, Mingming Yang, Shuming Shi, Yujiu Yang, Lemao Liu
An Energy-based Model for Word-level AutoCompletion in Computer-aided Translation. CoRR (2024)
Cheng Yang, Guoping Huang, Mo Yu, Zhirui Zhang, Siheng Li, Mingming Yang, Shuming Shi, Yujiu Yang, Lemao Liu
An Energy-based Model for Word-level AutoCompletion in Computer-aided Translation. Trans. Assoc. Comput. Linguistics 12 (2024)
Shicheng Xu, Liang Pang, Mo Yu, Fandong Meng, Huawei Shen, Xueqi Cheng, Jie Zhou
Unsupervised Information Refinement Training of Large Language Models for Retrieval-Augmented Generation. CoRR (2024)
Che Jiang, Biqing Qi, Xiangyu Hong, Dayuan Fu, Yang Cheng, Fandong Meng, Mo Yu, Bowen Zhou, Jie Zhou
On Large Language Models' Hallucination with Regard to Known Facts. CoRR (2024)
Liyan Xu, Zhenlin Su, Mo Yu, Jin Xu, Jinho D. Choi, Jie Zhou, Fei Liu
Identifying Factual Inconsistency in Summaries: Towards Effective Utilization of Large Language Model. CoRR (2024)
Shicheng Xu, Liang Pang, Jiangnan Li, Mo Yu, Fandong Meng, Huawei Shen, Xueqi Cheng, Jie Zhou
Plot Retrieval as an Assessment of Abstract Semantic Association. CoRR (2023)
Hongyu Zhao, Kangrui Wang, Mo Yu, Hongyuan Mei
Explicit Planning Helps Language Models in Logical Reasoning. CoRR (2023)
Sijia Wang, Mo Yu, Lifu Huang
The Art of Prompting: Event Detection based on Type Specific Prompts. ACL (2) (2023)
Guanhua Zhang, Jiabao Ji, Yang Zhang, Mo Yu, Tommi S. Jaakkola, Shiyu Chang
Towards Coherent Image Inpainting Using Denoising Diffusion Implicit Models. ICML (2023)
Lu Zhang, Huaiqian You, Tian Gao, Mo Yu, Chung-Hao Lee, Yue Yu
MetaNO: How to Transfer Your Knowledge on Learning Hidden Physics. CoRR (2023)
Hongyu Zhao, Kangrui Wang, Mo Yu, Hongyuan Mei
Explicit Planning Helps Language Models in Logical Reasoning. EMNLP (2023)
Guanhua Zhang, Jiabao Ji, Yang Zhang, Mo Yu, Tommi S. Jaakkola, Shiyu Chang
Towards Coherent Image Inpainting Using Denoising Diffusion Implicit Models. CoRR (2023)
Mo Yu, Yi Gu, Xiaoxiao Guo, Yufei Feng, Xiaodan Zhu, Michael A. Greenspan, Murray Campbell, Chuang Gan
JECC: Commonsense Reasoning Tasks Derived from Interactive Fictions. ACL (Findings) (2023)
Jiangnan Li, Mo Yu, Fandong Meng, Zheng Lin, Peng Fu, Weiping Wang, Jie Zhou
Question-Interlocutor Scope Realized Graph Modeling over Key Utterances for Dialogue Reading Comprehension. ACL (Findings) (2023)
Lanshun Nie, Yuqi Qiu, Fei Meng, Mo Yu, Jing Li
Generalizable Reinforcement Learning-Based Coarsening Model for Resource Allocation over Large and Diverse Stream Processing Graphs. IPDPS (2023)
Mo Yu, Jiangnan Li, Shunyu Yao, Wenjie Pang, Xiaochen Zhou, Zhou Xiao, Fandong Meng, Jie Zhou
Personality Understanding of Fictional Characters during Book Reading. CoRR (2023)
Chen-Feng Tsai, Xiaochen Zhou, Sierra S. Liu, Jing Li, Mo Yu, Hongyuan Mei
Can Large Language Models Play Text Games Well? Current State-of-the-Art and Open Questions. CoRR (2023)
Mo Yu, Jiangnan Li, Shunyu Yao, Wenjie Pang, Xiaochen Zhou, Zhou Xiao, Fandong Meng, Jie Zhou
Personality Understanding of Fictional Characters during Book Reading. ACL (1) (2023)
Ying Xu, Dakuo Wang, Mo Yu, Daniel Ritchie, Bingsheng Yao, Tongshuang Wu, Zheng Zhang, Toby Jia-Jun Li, Nora Bradford, Branda Sun, Tran Hoang, Yisi Sang, Yufang Hou, Xiaojuan Ma, Diyi Yang, Nanyun Peng, Zhou Yu, Mark Warschauer
Fantastic Questions and Where to Find Them: FairytaleQA - An Authentic Dataset for Narrative Comprehension. ACL (1) (2022)
Linfeng Song, Zhiguo Wang, Mo Yu, Yue Zhang, Radu Florian, Daniel Gildea
Evidence Integration for Multi-Hop Reading Comprehension With Graph Neural Networks. IEEE Trans. Knowl. Data Eng. 34 (2) (2022)
Yisi Sang, Xiangyang Mou, Jing Li, Jeffrey Stanton, Mo Yu
A Survey of Machine Narrative Reading Comprehension Assessments. IJCAI (2022)
Nouha Dziri, Ehsan Kamalloo, Sivan Milton, Osmar Zaïane, Mo Yu, Edoardo Maria Ponti, Siva Reddy
FaithDial: A Faithful Benchmark for Information-Seeking Dialogue. CoRR (2022)
Yi Gu, Shunyu Yao, Chuang Gan, Joshua B. Tenenbaum, Mo Yu
Revisiting the Roles of "Text" in Text Games. CoRR (2022)
Mo Yu, Xiaoxiao Guo, Yufei Feng, Yi Gu, Xiaodan Zhu, Michael A. Greenspan, Murray Campbell, Chuang Gan
JECC: Commonsense Reasoning Tasks Derived from Interactive Fictions. CoRR (2022)
Dakuo Wang, Haoyu Wang, Mo Yu, Zahra Ashktorab, Ming Tan
Group Chat Ecology in Enterprise Instant Messaging: How Employees Collaborate Through Multi-User Chat Channels on Slack. Proc. ACM Hum. Comput. Interact. 6 (CSCW1) (2022)
Yi Gu, Shunyu Yao, Chuang Gan, Josh Tenenbaum, Mo Yu
Revisiting the Roles of "Text" in Text Games. EMNLP (Findings) (2022)
Pengshan Cai, Hui Wan, Fei Liu, Mo Yu, Hong Yu, Sachindra Joshi
Learning as Conversation: Dialogue Systems Reinforced for Information Acquisition. NAACL-HLT (2022)
Zhenjie Zhao, Yufang Hou, Dakuo Wang, Mo Yu, Chengzhong Liu, Xiaojuan Ma
Educational Question Generation of Children Storybooks via Question Type Distribution Learning and Event-Centric Summarization. CoRR (2022)
Zheng Zhang, Ying Xu, Yanhao Wang, Bingsheng Yao, Daniel Ritchie, Tongshuang Wu, Mo Yu, Dakuo Wang, Toby Jia-Jun Li
StoryBuddy: A Human-AI Collaborative Chatbot for Parent-Child Interactive Storytelling with Flexible Parental Involvement. CHI (2022)
Zijian Jin, Xingyu Zhang, Mo Yu, Lifu Huang
Probing Script Knowledge from Pre-Trained Models. CoRR (2022)
Yisi Sang, Xiangyang Mou, Mo Yu, Shunyu Yao, Jing Li, Jeffrey Stanton
TVShowGuess: Character Comprehension in Stories as Speaker Guessing. CoRR (2022)
Yisi Sang, Xiangyang Mou, Jing Li, Jeffrey Stanton, Mo Yu
A Survey of Machine Narrative Reading Comprehension Assessments. CoRR (2022)
Shunyu Yao, Mo Yu, Yang Zhang, Karthik R. Narasimhan, Joshua B. Tenenbaum, Chuang Gan
Linking Emergent and Natural Languages via Corpus Transfer. CoRR (2022)
Jiangnan Li, Mo Yu, Fandong Meng, Zheng Lin, Peng Fu, Weiping Wang, Jie Zhou
Question-Interlocutor Scope Realized Graph Modeling over Key Utterances for Dialogue Reading Comprehension. CoRR (2022)
Sijia Wang, Mo Yu, Lifu Huang
The Art of Prompting: Event Detection based on Type Specific Prompts. CoRR (2022)
Xiangyang Mou, Mo Yu, Bingsheng Yao, Lifu Huang
Efficient Long Sequence Encoding via Synchronization. CoRR (2022)
Shunyu Yao, Mo Yu, Yang Zhang, Karthik R. Narasimhan, Joshua B. Tenenbaum, Chuang Gan
Linking Emergent and Natural Languages via Corpus Transfer. ICLR (2022)
Sijia Wang, Mo Yu, Shiyu Chang, Lichao Sun, Lifu Huang
Query and Extract: Refining Event Extraction as Type-oriented Binary Decoding. ACL (Findings) (2022)
Yisi Sang, Xiangyang Mou, Mo Yu, Dakuo Wang, Jing Li, Jeffrey Stanton
MBTI Personality Prediction for Fictional Characters Using Movie Scripts. EMNLP (Findings) (2022)
Yisi Sang, Xiangyang Mou, Mo Yu, Shunyu Yao, Jing Li, Jeffrey Stanton
TVShowGuess: Character Comprehension in Stories as Speaker Guessing. NAACL-HLT (2022)
Zheng Zhang, Ying Xu, Yanhao Wang, Bingsheng Yao, Daniel Ritchie, Tongshuang Wu, Mo Yu, Dakuo Wang, Toby Jia-Jun Li
StoryBuddy: A Human-AI Collaborative Chatbot for Parent-Child Interactive Storytelling with Flexible Parental Involvement. CoRR (2022)
Nouha Dziri, Sivan Milton, Mo Yu, Osmar Zaïane, Siva Reddy
On the Origin of Hallucinations in Conversational Models: Is it the Datasets or the Models? CoRR (2022)
Nouha Dziri, Ehsan Kamalloo, Sivan Milton, Osmar R. Zaïane, Mo Yu, Edoardo M. Ponti, Siva Reddy
FaithDial: A Faithful Benchmark for Information-Seeking Dialogue. Trans. Assoc. Comput. Linguistics 10 (2022)
Ying Xu, Dakuo Wang, Mo Yu, Daniel Ritchie, Bingsheng Yao, Tongshuang Wu, Zheng Zhang, Toby Jia-Jun Li, Nora Bradford, Branda Sun, Tran Bao Hoang, Yisi Sang, Yufang Hou, Xiaojuan Ma, Diyi Yang, Nanyun Peng, Zhou Yu, Mark Warschauer
Fantastic Questions and Where to Find Them: FairytaleQA - An Authentic Dataset for Narrative Comprehension. CoRR (2022)
Mo Yu, Yisi Sang, Kangsheng Pu, Zekai Wei, Han Wang, Jing Li, Yue Yu, Jie Zhou
Few-Shot Character Understanding in Movies as an Assessment to Meta-Learning of Theory-of-Mind. CoRR (2022)
Yisi Sang, Xiangyang Mou, Mo Yu, Dakuo Wang, Jing Li, Jeffrey Stanton
MBTI Personality Prediction for Fictional Characters Using Movie Scripts. CoRR (2022)
Bingsheng Yao, Dakuo Wang, Tongshuang Wu, Zheng Zhang, Toby Jia-Jun Li, Mo Yu, Ying Xu
It is AI's Turn to Ask Humans a Question: Question-Answer Pair Generation for Children's Story Books. ACL (1) (2022)
Zhenjie Zhao, Yufang Hou, Dakuo Wang, Mo Yu, Chengzhong Liu, Xiaojuan Ma
Educational Question Generation of Children Storybooks via Question Type Distribution Learning and Event-centric Summarization. ACL (1) (2022)
Nouha Dziri, Sivan Milton, Mo Yu, Osmar R. Zaïane, Siva Reddy
On the Origin of Hallucinations in Conversational Models: Is it the Datasets or the Models? NAACL-HLT (2022)
Pengshan Cai, Hui Wan, Fei Liu, Mo Yu, Hong Yu, Sachindra Joshi
Learning as Conversation: Dialogue Systems Reinforced for Information Acquisition. CoRR (2022)
Liuping Wang, Dakuo Wang, Feng Tian, Zhenhui Peng, Xiangmin Fan, Zhan Zhang, Shuai Ma, Mo Yu, Xiaojuan Ma, Hongan Wang
CASS: Towards Building a Social-Support Chatbot for Online Health Community. CoRR (2021)
Lin Pan, Chung-Wei Hang, Avirup Sil, Saloni Potdar, Mo Yu
Improved Text Classification via Contrastive Adversarial Training. CoRR (2021)
Xiangyang Mou, Chenghao Yang, Mo Yu, Bingsheng Yao, Xiaoxiao Guo, Saloni Potdar, Hui Su
Narrative Question Answering with Cutting-Edge Open-Domain QA Techniques: A Comprehensive Study. Trans. Assoc. Comput. Linguistics 9 (2021)
Mo Yu, Yang Zhang, Shiyu Chang, Tommi S. Jaakkola
Understanding Interlocking Dynamics of Cooperative Rationalization. NeurIPS (2021)
Kai Wang, Zhonghao Wang, Mo Yu, Humphrey Shi
Feudal Reinforcement Learning by Reading Manuals. CoRR (2021)
Xiangyang Mou, Chenghao Yang, Mo Yu, Bingsheng Yao, Xiaoxiao Guo, Saloni Potdar, Hui Su
Narrative Question Answering with Cutting-Edge Open-Domain QA Techniques: A Comprehensive Study. CoRR (2021)
Bingsheng Yao, Dakuo Wang, Tongshuang Wu, Tran Hoang, Branda Sun, Toby Jia-Jun Li, Mo Yu, Ying Xu
It is AI's Turn to Ask Human a Question: Question and Answer Pair Generation for Children Storybooks in FairytaleQA Dataset. CoRR (2021)
Haode Qi, Lin Pan, Atin Sood, Abhishek Shah, Ladislav Kunc, Mo Yu, Saloni Potdar
Benchmarking Commercial Intent Detection Services with Practice-Driven Evaluations. NAACL-HLT (Industry Papers) (2021)
Xiangyang Mou, Mo Yu, Shiyu Chang, Yufei Feng, Li Zhang, Hui Su
Complementary Evidence Identification in Open-Domain Question Answering. CoRR (2021)
Sijia Wang, Mo Yu, Shiyu Chang, Lichao Sun, Lifu Huang
Query and Extract: Refining Event Extraction as Type-oriented Binary Decoding. CoRR (2021)
Pavan Kapanipathi, Ibrahim Abdelaziz, Srinivas Ravishankar, Salim Roukos, Alexander G. Gray, Ramón Fernandez Astudillo, Maria Chang, Cristina Cornelio, Saswati Dana, Achille Fokoue, Dinesh Garg, Alfio Gliozzo, Sairam Gurajada, Hima Karanam, Naweed Khan, Dinesh Khandelwal, Young-Suk Lee, Yunyao Li, Francois P. S. Luus, Ndivhuwo Makondo, Nandana Mihindukulasooriya, Tahira Naseem, Sumit Neelam, Lucian Popa, Revanth Gangi Reddy, Ryan Riegel, Gaetano Rossiello, Udit Sharma, G. P. Shrivatsa Bhargav, Mo Yu
Leveraging Abstract Meaning Representation for Knowledge Base Question Answering. ACL/IJCNLP (Findings) (2021)
Lin Pan, Chung-Wei Hang, Haode Qi, Abhishek Shah, Saloni Potdar, Mo Yu
Multilingual BERT Post-Pretraining Alignment. NAACL-HLT (2021)
Manling Li, Tengfei Ma, Mo Yu, Lingfei Wu, Tian Gao, Heng Ji, Kathleen R. McKeown
Timeline Summarization based on Event Graph Compression via Time-Aware Optimal Transport. EMNLP (1) (2021)
Xiangyang Mou, Mo Yu, Shiyu Chang, Yufei Feng, Li Zhang, Hui Su
Complementary Evidence Identification in Open-Domain Question Answering. EACL (2021)
Mo Yu, Yang Zhang, Shiyu Chang, Tommi S. Jaakkola
Understanding Interlocking Dynamics of Cooperative Rationalization. CoRR (2021)
Zhonghao Wang, Kai Wang, Mo Yu, Jinjun Xiong, Wen-Mei Hwu, Mark Hasegawa-Johnson, Humphrey Shi
Interpretable Visual Reasoning via Induced Symbolic Space. ICCV (2021)
Liuping Wang, Dakuo Wang, Feng Tian, Zhenhui Peng, Xiangmin Fan, Zhan Zhang, Mo Yu, Xiaojuan Ma, Hongan Wang
CASS: Towards Building a Social-Support Chatbot for Online Health Community. Proc. ACM Hum. Comput. Interact. 5 (CSCW1) (2021)
Yufei Feng, Mo Yu, Wenhan Xiong, Xiaoxiao Guo, Junjie Huang, Shiyu Chang, Murray Campbell, Michael A. Greenspan, Xiaodan Zhu
extending PySyft with N.-IID Federated Learning Benchmarkby Houda Bouraqqadi, Ayoub Berrag, Mohamed Mhaouach, Afaf Bouhoute, Khalid Fardousse, and Ismail Berrada: Learning to Recover Reasoning Chains for Multi-Hop Question Answering via Cooperative Games. Canadian Conference on AI (2021)
Shiyu Chang, Yang Zhang, Mo Yu, Tommi S. Jaakkola
Invariant Rationalization. ICML (2020)
Pavan Kapanipathi, Ibrahim Abdelaziz, Srinivas Ravishankar, Salim Roukos, Alexander G. Gray, Ramón Fernandez Astudillo, Maria Chang, Cristina Cornelio, Saswati Dana, Achille Fokoue, Dinesh Garg, Alfio Gliozzo, Sairam Gurajada, Hima Karanam, Naweed Khan, Dinesh Khandelwal, Young-Suk Lee, Yunyao Li, Francois P. S. Luus, Ndivhuwo Makondo, Nandana Mihindukulasooriya, Tahira Naseem, Sumit Neelam, Lucian Popa, Revanth Gangi Reddy, Ryan Riegel, Gaetano Rossiello, Udit Sharma, G. P. Shrivatsa Bhargav, Mo Yu
Question Answering over Knowledge Bases by Leveraging Semantic Parsing and Neuro-Symbolic Reasoning. CoRR (2020)
Nandana Mihindukulasooriya, Gaetano Rossiello, Pavan Kapanipathi, Ibrahim Abdelaziz, Srinivas Ravishankar, Mo Yu, Alfio Gliozzo, Salim Roukos, Alexander G. Gray
Leveraging Semantic Parsing for Relation Linking over Knowledge Bases. CoRR (2020)
Nandana Mihindukulasooriya, Gaetano Rossiello, Pavan Kapanipathi, Ibrahim Abdelaziz, Srinivas Ravishankar, Mo Yu, Alfio Gliozzo, Salim Roukos, Alexander G. Gray
Leveraging Semantic Parsing for Relation Linking over Knowledge Bases. ISWC (1) (2020)
Mo Yu, Xiaoxiao Guo, Yufei Feng, Xiaodan Zhu, Michael A. Greenspan, Murray Campbell
Deriving Commonsense Inference Tasks from Interactive Fictions. CoRR (2020)
Lin Pan, Chung-Wei Hang, Haode Qi, Abhishek Shah, Mo Yu, Saloni Potdar
Multilingual BERT Post-Pretraining Alignment. CoRR (2020)
Yufei Feng, Mo Yu, Wenhan Xiong, Xiaoxiao Guo, Junjie Huang, Shiyu Chang, Murray Campbell, Michael A. Greenspan, Xiaodan Zhu
Learning to Recover Reasoning Chains for Multi-Hop Question Answering via Cooperative Games. CoRR (2020)
Zhonghao Wang, Mo Yu, Kai Wang, Jinjun Xiong, Wen-Mei Hwu, Mark Hasegawa-Johnson, Humphrey Shi
Interpretable Visual Reasoning via Induced Symbolic Space. CoRR (2020)
Shiyu Chang, Yang Zhang, Mo Yu, Tommi S. Jaakkola
Invariant Rationalization. CoRR (2020)
Lu Zhang, Mo Yu, Tian Gao, Yue Yu
MCMH: Learning Multi-Chain Multi-Hop Rules for Knowledge Graph Reasoning. CoRR (2020)
Xiaoxiao Guo, Mo Yu, Yupeng Gao, Chuang Gan, Murray Campbell, Shiyu Chang
Interactive Fiction Game Playing as Multi-Paragraph Reading Comprehension with Reinforcement Learning. CoRR (2020)
Xiangyang Mou, Mo Yu, Bingsheng Yao, Chenghao Yang, Xiaoxiao Guo, Saloni Potdar, Hui Su
Frustratingly Hard Evidence Retrieval for QA Over Books. CoRR (2020)
Xiang Ni, Jing Li, Mo Yu, Wang Zhou, Kun-Lung Wu
Generalizable Resource Allocation in Stream Processing via Deep Reinforcement Learning. AAAI (2020)
Xiangyang Mou, Mo Yu, Bingsheng Yao, Chenghao Yang, Xiaoxiao Guo, Saloni Potdar, Hui Su
Frustratingly Hard Evidence Retrieval for QA Over Books. NUSE@ACL (2020)
Lu Zhang, Mo Yu, Tian Gao, Yue Yu
MCMH: Learning Multi-Chain Multi-Hop Rules for Knowledge Graph Reasoning. EMNLP (Findings) (2020)
Zhonghao Wang, Mo Yu, Yunchao Wei, Rogério Schmidt Feris, Jinjun Xiong, Wen-Mei Hwu, Thomas S. Huang, Honghui Shi
Differential Treatment for Stuff and Things: A Simple Unsupervised Domain Adaptation Method for Semantic Segmentation. CoRR (2020)
Xiaoxiao Guo, Mo Yu, Yupeng Gao, Chuang Gan, Murray Campbell, Shiyu Chang
Interactive Fiction Game Playing as Multi-Paragraph Reading Comprehension with Reinforcement Learning. EMNLP (1) (2020)
Zhonghao Wang, Mo Yu, Yunchao Wei, Rogério Feris, Jinjun Xiong, Wen-Mei Hwu, Thomas S. Huang, Honghui Shi
Differential Treatment for Stuff and Things: A Simple Unsupervised Domain Adaptation Method for Semantic Segmentation. CVPR (2020)
Rajarshi Das, Ameya Godbole, Dilip Kavarthapu, Zhiyu Gong, Abhishek Singhal, Mo Yu, Xiaoxiao Guo, Tian Gao, Hamed Zamani, Manzil Zaheer, Andrew McCallum
Multi-step Entity-centric Information Retrieval for Multi-Hop Question Answering. MRQA@EMNLP (2019)
Wenhan Xiong, Jiawei Wu, Deren Lei, Mo Yu, Shiyu Chang, Xiaoxiao Guo, William Yang Wang
Imposing Label-Relational Inductive Bias for Extremely Fine-Grained Entity Typing. NAACL-HLT (1) (2019)
Xiaoxiao Guo, Shiyu Chang, Mo Yu, Gerald Tesauro, Murray Campbell
Hybrid Reinforcement Learning with Expert State Sequences. CoRR (2019)
Haoyu Wang, Mo Yu, Xiaoxiao Guo, Rajarshi Das, Wenhan Xiong, Tian Gao
Do Multi-hop Readers Dream of Reasoning Chains? MRQA@EMNLP (2019)
Zhiguo Wang, Yue Zhang, Mo Yu, Wei Zhang, Lin Pan, Linfeng Song, Kun Xu, Yousef El-Kurdi
Multi-Granular Text Encoding for Self-Explaining Categorization. BlackboxNLP@ACL (2019)
Linfeng Song, Yue Zhang, Daniel Gildea, Mo Yu, Zhiguo Wang, Jinsong Su
Leveraging Dependency Forest for Neural Medical Relation Extraction. CoRR (2019)
Yang Zhang, Shiyu Chang, Mo Yu, Kaizhi Qian
An Efficient and Margin-Approaching Zero-Confidence Adversarial Attack. CoRR (2019)

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Publication Activity (10 Years)

Top Topics

Top Venues

Mo Yu