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2020 – today
- 2024
[j9]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: 137-156 (2024)- [c100]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: 133-145 - [c99]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. ACL (Student Research Workshop) 2024: 146-161 - [c98]Liyan Xu, Jiangnan Li, Mo Yu, Jie Zhou:
Fine-Grained Modeling of Narrative Context: A Coherence Perspective via Retrospective Questions. ACL (1) 2024: 5822-5838 - [c97]Xiangyu Hong, Che Jiang, Biqing Qi, Fandong Meng, Mo Yu, Bowen Zhou, Jie Zhou:
On the token distance modeling ability of higher RoPE attention dimension. EMNLP (Findings) 2024: 5877-5888 - [c96]Guoxin Yu, Lemao Liu, Mo Yu, Yue Yu, Xiang Ao:
Rethinking the Evaluation of In-Context Learning for LLMs. EMNLP 2024: 14068-14082 - [c95]Mo Yu, Qiujing Wang, Shunchi Zhang, Yisi Sang, Kangsheng Pu, Zekai Wei, Han Wang, Liyan Xu, Jing Li, Yue Yu, Jie Zhou:
Few-Shot Character Understanding in Movies as an Assessment to Meta-Learning of Theory-of-Mind. ICML 2024 - [c94]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: 1041-1053 - [i104]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 abs/2402.07271 (2024) - [i103]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 abs/2402.12821 (2024) - [i102]Liyan Xu, Jiangnan Li, Mo Yu, Jie Zhou:
Graph Representation of Narrative Context: Coherence Dependency via Retrospective Questions. CoRR abs/2402.13551 (2024) - [i101]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 abs/2402.18150 (2024) - [i100]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 abs/2403.19913 (2024) - [i99]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 abs/2403.20009 (2024) - [i98]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 abs/2406.04758 (2024) - [i97]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 abs/2407.20083 (2024) - [i96]Cong Xu, Zhangchi Zhu, Mo Yu, Jun Wang, Jianyong Wang, Wei Zhang:
Are LLM-based Recommenders Already the Best? Simple Scaled Cross-entropy Unleashes the Potential of Traditional Sequential Recommenders. CoRR abs/2408.14238 (2024) - [i95]Siheng Li, Cheng Yang, Taiqiang Wu, Chufan Shi, Yuji Zhang, Xinyu Zhu, Zesen Cheng, Deng Cai, Mo Yu, Lemao Liu, Jie Zhou, Yujiu Yang, Ngai Wong, Xixin Wu, Wai Lam:
A Survey on the Honesty of Large Language Models. CoRR abs/2409.18786 (2024) - 2023
- [c93]Sijia Wang, Mo Yu, Lifu Huang:
The Art of Prompting: Event Detection based on Type Specific Prompts. ACL (2) 2023: 1286-1299 - [c92]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: 4956-4968 - [c91]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: 11226-11238 - [c90]Mo Yu, Jiangnan Li, Shunyu Yao, Wenjie Pang, Xiaochen Zhou, Xiao Zhou, Fandong Meng, Jie Zhou:
Personality Understanding of Fictional Characters during Book Reading. ACL (1) 2023: 14784-14802 - [c89]Hongyu Zhao, Kangrui Wang, Mo Yu, Hongyuan Mei:
Explicit Planning Helps Language Models in Logical Reasoning. EMNLP 2023: 11155-11173 - [c88]Guanhua Zhang, Jiabao Ji, Yang Zhang, Mo Yu, Tommi S. Jaakkola, Shiyu Chang:
Towards Coherent Image Inpainting Using Denoising Diffusion Implicit Models. ICML 2023: 41164-41193 - [c87]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: 435-445 - [i94]Lu Zhang, Huaiqian You, Tian Gao, Mo Yu, Chung-Hao Lee, Yue Yu:
MetaNO: How to Transfer Your Knowledge on Learning Hidden Physics. CoRR abs/2301.12095 (2023) - [i93]Hongyu Zhao, Kangrui Wang, Mo Yu, Hongyuan Mei:
Explicit Planning Helps Language Models in Logical Reasoning. CoRR abs/2303.15714 (2023) - [i92]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 abs/2304.02868 (2023) - [i91]Guanhua Zhang, Jiabao Ji, Yang Zhang, Mo Yu, Tommi S. Jaakkola, Shiyu Chang:
Towards Coherent Image Inpainting Using Denoising Diffusion Implicit Models. CoRR abs/2304.03322 (2023) - [i90]Mo Yu, Jiangnan Li, Shunyu Yao, Wenjie Pang, Xiaochen Zhou, Xiao Zhou, Fandong Meng, Jie Zhou:
Personality Understanding of Fictional Characters during Book Reading. CoRR abs/2305.10156 (2023) - [i89]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 abs/2311.01666 (2023) - 2022
- [j8]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): 94:1-94:14 (2022) - [j7]Nouha Dziri, Ehsan Kamalloo, Sivan Milton, Osmar R. Zaïane, Mo Yu, Edoardo Maria Ponti, Siva Reddy:
FaithDial: A Faithful Benchmark for Information-Seeking Dialogue. Trans. Assoc. Comput. Linguistics 10: 1473-1490 (2022) - [j6]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): 631-639 (2022) - [c86]Sijia Wang, Mo Yu, Shiyu Chang, Lichao Sun, Lifu Huang:
Query and Extract: Refining Event Extraction as Type-oriented Binary Decoding. ACL (Findings) 2022: 169-182 - [c85]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. ACL (1) 2022: 447-460 - [c84]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: 731-744 - [c83]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: 5073-5085 - [c82]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: 218:1-218:21 - [c81]Yisi Sang, Xiangyang Mou, Mo Yu, Dakuo Wang, Jing Li, Jeffrey M. Stanton:
MBTI Personality Prediction for Fictional Characters Using Movie Scripts. EMNLP (Findings) 2022: 6715-6724 - [c80]Yi Gu, Shunyu Yao, Chuang Gan, Josh Tenenbaum, Mo Yu:
Revisiting the Roles of "Text" in Text Games. EMNLP (Findings) 2022: 6867-6876 - [c79]Shunyu Yao, Mo Yu, Yang Zhang, Karthik R. Narasimhan, Joshua B. Tenenbaum, Chuang Gan:
Linking Emergent and Natural Languages via Corpus Transfer. ICLR 2022 - [c78]Yisi Sang, Xiangyang Mou, Jing Li, Jeffrey M. Stanton, Mo Yu:
A Survey of Machine Narrative Reading Comprehension Assessments. IJCAI 2022: 5580-5587 - [c77]Yisi Sang, Xiangyang Mou, Mo Yu, Shunyu Yao, Jing Li, Jeffrey M. Stanton:
TVShowGuess: Character Comprehension in Stories as Speaker Guessing. NAACL-HLT 2022: 4267-4287 - [c76]Pengshan Cai, Hui Wan, Fei Liu, Mo Yu, Hong Yu, Sachindra Joshi:
Learning as Conversation: Dialogue Systems Reinforced for Information Acquisition. NAACL-HLT 2022: 4781-4796 - [c75]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: 5271-5285 - [i88]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 abs/2202.06205 (2022) - [i87]Xiangyang Mou, Mo Yu, Bingsheng Yao, Lifu Huang:
Efficient Long Sequence Encoding via Synchronization. CoRR abs/2203.07644 (2022) - [i86]Shunyu Yao, Mo Yu, Yang Zhang, Karthik R. Narasimhan, Joshua B. Tenenbaum, Chuang Gan:
Linking Emergent and Natural Languages via Corpus Transfer. CoRR abs/2203.13344 (2022) - [i85]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 abs/2203.13947 (2022) - [i84]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 abs/2203.14187 (2022) - [i83]Sijia Wang, Mo Yu, Lifu Huang:
The Art of Prompting: Event Detection based on Type Specific Prompts. CoRR abs/2204.07241 (2022) - [i82]Yisi Sang, Xiangyang Mou, Mo Yu, Shunyu Yao, Jing Li, Jeffrey M. Stanton:
TVShowGuess: Character Comprehension in Stories as Speaker Guessing. CoRR abs/2204.07721 (2022) - [i81]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 abs/2204.07931 (2022) - [i80]Zijian Jin, Xingyu Zhang, Mo Yu, Lifu Huang:
Probing Script Knowledge from Pre-Trained Models. CoRR abs/2204.10176 (2022) - [i79]Nouha Dziri, Ehsan Kamalloo, Sivan Milton, Osmar Zaïane, Mo Yu, Edoardo Maria Ponti, Siva Reddy:
FaithDial: A Faithful Benchmark for Information-Seeking Dialogue. CoRR abs/2204.10757 (2022) - [i78]Yisi Sang, Xiangyang Mou, Jing Li, Jeffrey M. Stanton, Mo Yu:
A Survey of Machine Narrative Reading Comprehension Assessments. CoRR abs/2205.00299 (2022) - [i77]Pengshan Cai, Hui Wan, Fei Liu, Mo Yu, Hong Yu, Sachindra Joshi:
Learning as Conversation: Dialogue Systems Reinforced for Information Acquisition. CoRR abs/2205.14748 (2022) - [i76]Yi Gu, Shunyu Yao, Chuang Gan, Joshua B. Tenenbaum, Mo Yu:
Revisiting the Roles of "Text" in Text Games. CoRR abs/2210.08384 (2022) - [i75]Yisi Sang, Xiangyang Mou, Mo Yu, Dakuo Wang, Jing Li, Jeffrey M. Stanton:
MBTI Personality Prediction for Fictional Characters Using Movie Scripts. CoRR abs/2210.10994 (2022) - [i74]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 abs/2210.14456 (2022) - [i73]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 abs/2210.15456 (2022) - [i72]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 abs/2211.04684 (2022) - 2021
- [j5]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): 9:1-9:31 (2021) - [j4]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: 1032-1046 (2021) - [c74]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: 3884-3894 - [c73]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 AI 2021 - [c72]Xiangyang Mou, Mo Yu, Shiyu Chang, Yufei Feng, Li Zhang, Hui Su:
Complementary Evidence Identification in Open-Domain Question Answering. EACL 2021: 2720-2726 - [c71]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: 6443-6456 - [c70]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: 1858-1867 - [c69]Lin Pan, Chung-Wei Hang, Haode Qi, Abhishek Shah, Saloni Potdar, Mo Yu:
Multilingual BERT Post-Pretraining Alignment. NAACL-HLT 2021: 210-219 - [c68]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: 304-310 - [c67]Mo Yu, Yang Zhang, Shiyu Chang, Tommi S. Jaakkola:
Understanding Interlocking Dynamics of Cooperative Rationalization. NeurIPS 2021: 12822-12835 - [i71]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 abs/2101.01583 (2021) - [i70]Xiangyang Mou, Mo Yu, Shiyu Chang, Yufei Feng, Li Zhang, Hui Su:
Complementary Evidence Identification in Open-Domain Question Answering. CoRR abs/2103.11643 (2021) - [i69]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 abs/2106.03826 (2021) - [i68]Lin Pan, Chung-Wei Hang, Avirup Sil, Saloni Potdar, Mo Yu:
Improved Text Classification via Contrastive Adversarial Training. CoRR abs/2107.10137 (2021) - [i67]Bingsheng Yao, Dakuo Wang, Tongshuang Wu, Tran Bao 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 abs/2109.03423 (2021) - [i66]Kai Wang, Zhonghao Wang, Mo Yu, Humphrey Shi:
Feudal Reinforcement Learning by Reading Manuals. CoRR abs/2110.06477 (2021) - [i65]Sijia Wang, Mo Yu, Shiyu Chang, Lichao Sun, Lifu Huang:
Query and Extract: Refining Event Extraction as Type-oriented Binary Decoding. CoRR abs/2110.07476 (2021) - [i64]Mo Yu, Yang Zhang, Shiyu Chang, Tommi S. Jaakkola:
Understanding Interlocking Dynamics of Cooperative Rationalization. CoRR abs/2110.13880 (2021) - 2020
- [c66]Xiang Ni, Jing Li, Mo Yu, Wang Zhou, Kun-Lung Wu:
Generalizable Resource Allocation in Stream Processing via Deep Reinforcement Learning. AAAI 2020: 857-864 - [c65]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: 108-113 - [c64]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: 12632-12641 - [c63]Lu Zhang, Mo Yu, Tian Gao, Yue Yu:
MCMH: Learning Multi-Chain Multi-Hop Rules for Knowledge Graph Reasoning. EMNLP (Findings) 2020: 3948-3954 - [c62]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: 7755-7765 - [c61]Shiyu Chang, Yang Zhang, Mo Yu, Tommi S. Jaakkola:
Invariant Rationalization. ICML 2020: 1448-1458 - [c60]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: 402-419 - [i63]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 abs/2003.08040 (2020) - [i62]Shiyu Chang, Yang Zhang, Mo Yu, Tommi S. Jaakkola:
Invariant Rationalization. CoRR abs/2003.09772 (2020) - [i61]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 abs/2004.02393 (2020) - [i60]Xiangyang Mou, Mo Yu, Bingsheng Yao, Chenghao Yang, Xiaoxiao Guo, Saloni Potdar, Hui Su:
Frustratingly Hard Evidence Retrieval for QA Over Books. CoRR abs/2007.09878 (2020) - [i59]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 abs/2009.07726 (2020) - [i58]Lu Zhang, Mo Yu, Tian Gao, Yue Yu:
MCMH: Learning Multi-Chain Multi-Hop Rules for Knowledge Graph Reasoning. CoRR abs/2010.01735 (2020) - [i57]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 abs/2010.02386 (2020) - [i56]Mo Yu, Xiaoxiao Guo, Yufei Feng, Xiaodan Zhu, Michael A. Greenspan, Murray Campbell:
Deriving Commonsense Inference Tasks from Interactive Fictions. CoRR abs/2010.09788 (2020) - [i55]Lin Pan, Chung-Wei Hang, Haode Qi, Abhishek Shah, Mo Yu, Saloni Potdar:
Multilingual BERT Post-Pretraining Alignment. CoRR abs/2010.12547 (2020) - [i54]Zhonghao Wang, Mo Yu, Kai Wang, Jinjun Xiong, Wen-Mei Hwu, Mark Hasegawa-Johnson, Humphrey Shi:
Interpretable Visual Reasoning via Induced Symbolic Space. CoRR abs/2011.11603 (2020) - [i53]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 abs/2012.01707 (2020)
2010 – 2019
- 2019
- [j3]Duo Wang, Yu Cheng, Mo Yu, Xiaoxiao Guo, Tao Zhang:
A hybrid approach with optimization-based and metric-based meta-learner for few-shot learning. Neurocomputing 349: 202-211 (2019) - [c59]Xiaoxiao Guo, Shiyu Chang, Mo Yu, Gerald Tesauro, Murray Campbell:
Hybrid Reinforcement Learning with Expert State Sequences. AAAI 2019: 3739-3746 - [c58]Xiaoyan Wang, Pavan Kapanipathi, Ryan Musa, Mo Yu, Kartik Talamadupula, Ibrahim Abdelaziz, Maria Chang, Achille Fokoue, Bassem Makni, Nicholas Mattei, Michael Witbrock:
Improving Natural Language Inference Using External Knowledge in the Science Questions Domain. AAAI 2019: 7208-7215 - [c57]Haoyu Wang, Ming Tan, Mo Yu, Shiyu Chang, Dakuo Wang, Kun Xu, Xiaoxiao Guo, Saloni Potdar:
Extracting Multiple-Relations in One-Pass with Pre-Trained Transformers. ACL (1) 2019: 1371-1377 - [c56]Hong Wang, Xin Wang, Wenhan Xiong, Mo Yu, Xiaoxiao Guo, Shiyu Chang, William Yang Wang:
Self-Supervised Learning for Contextualized Extractive Summarization. ACL (1) 2019: 2221-2227 - [c55]Kun Xu, Liwei Wang, Mo Yu, Yansong Feng, Yan Song, Zhiguo Wang, Dong Yu:
Cross-lingual Knowledge Graph Alignment via Graph Matching Neural Network. ACL (1) 2019: 3156-3161 - [c54]Wenhan Xiong, Mo Yu, Shiyu Chang, Xiaoxiao Guo, William Yang Wang:
Improving Question Answering over Incomplete KBs with Knowledge-Aware Reader. ACL (1) 2019: 4258-4264 - [c53]Guanhua Zhang, Bing Bai, Jian Liang, Kun Bai, Shiyu Chang, Mo Yu, Conghui Zhu, Tiejun Zhao:
Selection Bias Explorations and Debias Methods for Natural Language Sentence Matching Datasets. ACL (1) 2019: 4418-4429 - [c52]Wenhan Xiong, Jiawei Wu, Hong Wang, Vivek Kulkarni, Mo Yu, Shiyu Chang, Xiaoxiao Guo, William Yang Wang:
TWEETQA: A Social Media Focused Question Answering Dataset. ACL (1) 2019: 5020-5031 - [c51]Wenhan Xiong, Mo Yu, Xiaoxiao Guo, Hong Wang, Shiyu Chang, Murray Campbell, William Yang Wang:
Simple yet Effective Bridge Reasoning for Open-Domain Multi-Hop Question Answering. MRQA@EMNLP 2019: 48-52 - [c50]Haoyu Wang, Mo Yu, Xiaoxiao Guo, Rajarshi Das, Wenhan Xiong, Tian Gao:
Do Multi-hop Readers Dream of Reasoning Chains? MRQA@EMNLP 2019: 91-97 - [c49]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: 113-118 - [c48]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: 41-45 - [c47]Linfeng Song, Yue Zhang, Daniel Gildea, Mo Yu, Zhiguo Wang, Jinsong Su:
Leveraging Dependency Forest for Neural Medical Relation Extraction. EMNLP/IJCNLP (1) 2019: 208-218 - [c46]Ming Tan, Yang Yu, Haoyu Wang, Dakuo Wang, Saloni Potdar, Shiyu Chang, Mo Yu:
Out-of-Domain Detection for Low-Resource Text Classification Tasks. EMNLP/IJCNLP (1) 2019: 3564-3570 - [c45]Mo Yu, Shiyu Chang, Yang Zhang, Tommi S. Jaakkola:
Rethinking Cooperative Rationalization: Introspective Extraction and Complement Control. EMNLP/IJCNLP (1) 2019: 4092-4101 - [c44]Ming Tan, Dakuo Wang, Yupeng Gao, Haoyu Wang, Saloni Potdar, Xiaoxiao Guo, Shiyu Chang, Mo Yu:
Context-Aware Conversation Thread Detection in Multi-Party Chat. EMNLP/IJCNLP (1) 2019: 6455-6460 - [c43]Yue Yu, Jie Chen, Tian Gao, Mo Yu:
DAG-GNN: DAG Structure Learning with Graph Neural Networks. ICML 2019: 7154-7163 - [c42]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: 773-784 - [c41]Hong Wang, Wenhan Xiong, Mo Yu, Xiaoxiao Guo, Shiyu Chang, William Yang Wang:
Sentence Embedding Alignment for Lifelong Relation Extraction. NAACL-HLT (1) 2019: 796-806 - [c40]Shiyu Chang, Yang Zhang, Mo Yu, Tommi S. Jaakkola:
A Game Theoretic Approach to Class-wise Selective Rationalization. NeurIPS 2019: 10055-10065 - [c39]Janarthanan Rajendran, Jatin Ganhotra, Xiaoxiao Guo, Mo Yu, Satinder Singh, Lazaros Polymenakos:
NE-Table: A Neural key-value table for Named Entities. RANLP 2019: 980-993 - [i52]Yu Cheng, Mo Yu, Xiaoxiao Guo, Bowen Zhou:
Few-shot Learning with Meta Metric Learners. CoRR abs/1901.09890 (2019) - [i51]Haoyu Wang, Ming Tan, Mo Yu, Shiyu Chang, Dakuo Wang, Kun Xu, Xiaoxiao Guo, Saloni Potdar:
Extracting Multiple-Relations in One-Pass with Pre-Trained Transformers. CoRR abs/1902.01030 (2019) - [i50]Hong Wang, Wenhan Xiong, Mo Yu, Xiaoxiao Guo, Shiyu Chang, William Yang Wang:
Sentence Embedding Alignment for Lifelong Relation Extraction. CoRR abs/1903.02588 (2019) - [i49]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. CoRR abs/1903.02591 (2019) - [i48]Xiaoxiao Guo, Shiyu Chang, Mo Yu, Gerald Tesauro, Murray Campbell:
Hybrid Reinforcement Learning with Expert State Sequences. CoRR abs/1903.04110 (2019) - [i47]Duo Wang, Yu Cheng, Mo Yu, Xiaoxiao Guo, Tao Zhang:
A Hybrid Approach with Optimization and Metric-based Meta-Learner for Few-Shot Learning. CoRR abs/1904.03014 (2019) - [i46]Yue Yu, Jie Chen, Tian Gao, Mo Yu:
DAG-GNN: DAG Structure Learning with Graph Neural Networks. CoRR abs/1904.10098 (2019) - [i45]Guanhua Zhang, Bing Bai, Jian Liang, Kun Bai, Shiyu Chang, Mo Yu, Conghui Zhu, Tiejun Zhao:
Selection Bias Explorations and Debias Methods for Natural Language Sentence Matching Datasets. CoRR abs/1905.06221 (2019) - [i44]Wenhan Xiong, Mo Yu, Shiyu Chang, Xiaoxiao Guo, William Yang Wang:
Improving Question Answering over Incomplete KBs with Knowledge-Aware Reader. CoRR abs/1905.07098 (2019) - [i43]Kun Xu, Liwei Wang, Mo Yu, Yansong Feng, Yan Song, Zhiguo Wang, Dong Yu:
Cross-lingual Knowledge Graph Alignment via Graph Matching Neural Network. CoRR abs/1905.11605 (2019) - [i42]Dakuo Wang, Haoyu Wang, Mo Yu, Zahra Ashktorab, Ming Tan:
Slack Channels Ecology in Enterprises: How Employees Collaborate Through Group Chat. CoRR abs/1906.01756 (2019) - [i41]Hong Wang, Xin Wang, Wenhan Xiong, Mo Yu, Xiaoxiao Guo, Shiyu Chang, William Yang Wang:
Self-Supervised Learning for Contextualized Extractive Summarization. CoRR abs/1906.04466 (2019) - [i40]Wenhan Xiong, Jiawei Wu, Hong Wang, Vivek Kulkarni, Mo Yu, Shiyu Chang, Xiaoxiao Guo, William Yang Wang:
TWEETQA: A Social Media Focused Question Answering Dataset. CoRR abs/1907.06292 (2019) - [i39]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. CoRR abs/1907.08532 (2019) - [i38]Hong Wang, Wenhan Xiong, Mo Yu, Xiaoxiao Guo, Shiyu Chang, William Yang Wang:
Meta Reasoning over Knowledge Graphs. CoRR abs/1908.04877 (2019) - [i37]Ming Tan, Yang Yu, Haoyu Wang, Dakuo Wang, Saloni Potdar, Shiyu Chang, Mo Yu:
Out-of-Domain Detection for Low-Resource Text Classification Tasks. CoRR abs/1909.05357 (2019) - [i36]Mengdi Zhu, Zheye Deng, Wenhan Xiong, Mo Yu, Ming Zhang, William Yang Wang:
Towards Open-Domain Named Entity Recognition via Neural Correction Models. CoRR abs/1909.06058 (2019) - [i35]Wenhan Xiong, Mo Yu, Xiaoxiao Guo, Hong Wang, Shiyu Chang, Murray Campbell, William Yang Wang:
Simple yet Effective Bridge Reasoning for Open-Domain Multi-Hop Question Answering. CoRR abs/1909.07597 (2019) - [i34]Ameya Godbole, Dilip Kavarthapu, Rajarshi Das, Zhiyu Gong, Abhishek Singhal, Hamed Zamani, Mo Yu, Tian Gao, Xiaoxiao Guo, Manzil Zaheer, Andrew McCallum:
Multi-step Entity-centric Information Retrieval for Multi-Hop Question Answering. CoRR abs/1909.07598 (2019) - [i33]Yang Zhang, Shiyu Chang, Mo Yu, Kaizhi Qian:
An Efficient and Margin-Approaching Zero-Confidence Adversarial Attack. CoRR abs/1910.00511 (2019) - [i32]Shiyu Chang, Yang Zhang, Mo Yu, Tommi S. Jaakkola:
A Game Theoretic Approach to Class-wise Selective Rationalization. CoRR abs/1910.12853 (2019) - [i31]Mo Yu, Shiyu Chang, Yang Zhang, Tommi S. Jaakkola:
Rethinking Cooperative Rationalization: Introspective Extraction and Complement Control. CoRR abs/1910.13294 (2019) - [i30]Haoyu Wang, Mo Yu, Xiaoxiao Guo, Rajarshi Das, Wenhan Xiong, Tian Gao:
Do Multi-hop Readers Dream of Reasoning Chains? CoRR abs/1910.14520 (2019) - [i29]Linfeng Song, Yue Zhang, Daniel Gildea, Mo Yu, Zhiguo Wang, Jinsong Su:
Leveraging Dependency Forest for Neural Medical Relation Extraction. CoRR abs/1911.04123 (2019) - [i28]Xiang Ni, Jing Li, Mo Yu, Wang Zhou, Kun-Lung Wu:
Generalizable Resource Allocation in Stream Processing via Deep Reinforcement Learning. CoRR abs/1911.08517 (2019) - 2018
- [c38]Shuohang Wang, Mo Yu, Xiaoxiao Guo, Zhiguo Wang, Tim Klinger, Wei Zhang, Shiyu Chang, Gerry Tesauro, Bowen Zhou, Jing Jiang:
R3: Reinforced Ranker-Reader for Open-Domain Question Answering. AAAI 2018: 5981-5988 - [c37]Shuohang Wang, Mo Yu, Jing Jiang, Shiyu Chang:
A Co-Matching Model for Multi-choice Reading Comprehension. ACL (2) 2018: 746-751 - [c36]Yang Yu, Kazi Saidul Hasan, Mo Yu, Wei Zhang, Zhiguo Wang:
Knowledge Base Relation Detection via Multi-View Matching. ADBIS (Short Papers and Workshops) 2018: 286-294 - [c35]Wei Han, Shiyu Chang, Ding Liu, Mo Yu, Michael Witbrock, Thomas S. Huang:
Image Super-Resolution via Dual-State Recurrent Networks. CVPR 2018: 1654-1663 - [c34]Tszhang Guo, Shiyu Chang, Mo Yu, Kun Bai:
Improving Reinforcement Learning Based Image Captioning with Natural Language Prior. EMNLP 2018: 751-756 - [c33]Kun Xu, Lingfei Wu, Zhiguo Wang, Mo Yu, Liwei Chen, Vadim Sheinin:
Exploiting Rich Syntactic Information for Semantic Parsing with Graph-to-Sequence Model. EMNLP 2018: 918-924 - [c32]Yujia Bao, Shiyu Chang, Mo Yu, Regina Barzilay:
Deriving Machine Attention from Human Rationales. EMNLP 2018: 1903-1913 - [c31]Wenhan Xiong, Mo Yu, Shiyu Chang, Xiaoxiao Guo, William Yang Wang:
One-Shot Relational Learning for Knowledge Graphs. EMNLP 2018: 1980-1990 - [c30]Shuohang Wang, Mo Yu, Jing Jiang, Wei Zhang, Xiaoxiao Guo, Shiyu Chang, Zhiguo Wang, Tim Klinger, Gerald Tesauro, Murray Campbell:
Evidence Aggregation for Answer Re-Ranking in Open-Domain Question Answering. ICLR (Poster) 2018 - [c29]Wenhan Xiong, Xiaoxiao Guo, Mo Yu, Shiyu Chang, Bowen Zhou, William Yang Wang:
Scheduled Policy Optimization for Natural Language Communication with Intelligent Agents. IJCAI 2018: 4503-4509 - [c28]Mo Yu, Xiaoxiao Guo, Jinfeng Yi, Shiyu Chang, Saloni Potdar, Yu Cheng, Gerald Tesauro, Haoyu Wang, Bowen Zhou:
Diverse Few-Shot Text Classification with Multiple Metrics. NAACL-HLT 2018: 1206-1215 - [p1]Mo Yu, Xiaolong (Luke) Zhang, Dongwon Lee, Derek Kreager:
Community-Based Recommendation for Cold-Start Problem: A Case Study of Reciprocal Online Dating Recommendation. Social Network Based Big Data Analysis and Applications 2018: 201-222 - [i27]Yang Yu, Kazi Saidul Hasan, Mo Yu, Wei Zhang, Zhiguo Wang:
Knowledge Base Relation Detection via Multi-View Matching. CoRR abs/1803.00612 (2018) - [i26]Janarthanan Rajendran, Jatin Ganhotra, Xiaoxiao Guo, Mo Yu, Satinder Singh:
Named Entities troubling your Neural Methods? Build NE-Table: A neural approach for handling Named Entities. CoRR abs/1804.09540 (2018) - [i25]Wei Han, Shiyu Chang, Ding Liu, Mo Yu, Michael Witbrock, Thomas S. Huang:
Image Super-Resolution via Dual-State Recurrent Networks. CoRR abs/1805.02704 (2018) - [i24]Mo Yu, Xiaoxiao Guo, Jinfeng Yi, Shiyu Chang, Saloni Potdar, Yu Cheng, Gerald Tesauro, Haoyu Wang, Bowen Zhou:
Diverse Few-Shot Text Classification with Multiple Metrics. CoRR abs/1805.07513 (2018) - [i23]Shuohang Wang, Mo Yu, Shiyu Chang, Jing Jiang:
A Co-Matching Model for Multi-choice Reading Comprehension. CoRR abs/1806.04068 (2018) - [i22]Wenhan Xiong, Xiaoxiao Guo, Mo Yu, Shiyu Chang, Bowen Zhou, William Yang Wang:
Scheduled Policy Optimization for Natural Language Communication with Intelligent Agents. CoRR abs/1806.06187 (2018) - [i21]Xinxing Su, Yingtian Zou, Yu Cheng, Shuangjie Xu, Mo Yu, Pan Zhou:
Spatial-Temporal Synergic Residual Learning for Video Person Re-Identification. CoRR abs/1807.05799 (2018) - [i20]Kun Xu, Lingfei Wu, Zhiguo Wang, Mo Yu, Liwei Chen, Vadim Sheinin:
Exploiting Rich Syntactic Information for Semantic Parsing with Graph-to-Sequence Model. CoRR abs/1808.07624 (2018) - [i19]Wenhan Xiong, Mo Yu, Shiyu Chang, Xiaoxiao Guo, William Yang Wang:
One-Shot Relational Learning for Knowledge Graphs. CoRR abs/1808.09040 (2018) - [i18]Yujia Bao, Shiyu Chang, Mo Yu, Regina Barzilay:
Deriving Machine Attention from Human Rationales. CoRR abs/1808.09367 (2018) - [i17]Linfeng Song, Zhiguo Wang, Mo Yu, Yue Zhang, Radu Florian, Daniel Gildea:
Exploring Graph-structured Passage Representation for Multi-hop Reading Comprehension with Graph Neural Networks. CoRR abs/1809.02040 (2018) - [i16]Kun Xu, Lingfei Wu, Zhiguo Wang, Mo Yu, Liwei Chen, Vadim Sheinin:
SQL-to-Text Generation with Graph-to-Sequence Model. CoRR abs/1809.05255 (2018) - [i15]Xiaoyan Wang, Pavan Kapanipathi, Ryan Musa, Mo Yu, Kartik Talamadupula, Ibrahim Abdelaziz, Maria Chang, Achille Fokoue, Bassem Makni, Nicholas Mattei, Michael Witbrock:
Improving Natural Language Inference Using External Knowledge in the Science Questions Domain. CoRR abs/1809.05724 (2018) - [i14]Tszhang Guo, Shiyu Chang, Mo Yu, Kun Bai:
Improving Reinforcement Learning Based Image Captioning with Natural Language Prior. CoRR abs/1809.06227 (2018) - 2017
- [c27]Mo Yu, Wenpeng Yin, Kazi Saidul Hasan, Cícero Nogueira dos Santos, Bing Xiang, Bowen Zhou:
Improved Neural Relation Detection for Knowledge Base Question Answering. ACL (1) 2017: 571-581 - [c26]Zhouhan Lin, Minwei Feng, Cícero Nogueira dos Santos, Mo Yu, Bing Xiang, Bowen Zhou, Yoshua Bengio:
A Structured Self-Attentive Sentence Embedding. ICLR (Poster) 2017 - [c25]Shiyu Chang, Yang Zhang, Wei Han, Mo Yu, Xiaoxiao Guo, Wei Tan, Xiaodong Cui, Michael Witbrock, Mark A. Hasegawa-Johnson, Thomas S. Huang:
Dilated Recurrent Neural Networks. NIPS 2017: 77-87 - [i13]Wenpeng Yin, Katharina Kann, Mo Yu, Hinrich Schütze:
Comparative Study of CNN and RNN for Natural Language Processing. CoRR abs/1702.01923 (2017) - [i12]Zhouhan Lin, Minwei Feng, Cícero Nogueira dos Santos, Mo Yu, Bing Xiang, Bowen Zhou, Yoshua Bengio:
A Structured Self-attentive Sentence Embedding. CoRR abs/1703.03130 (2017) - [i11]Mo Yu, Wenpeng Yin, Kazi Saidul Hasan, Cícero Nogueira dos Santos, Bing Xiang, Bowen Zhou:
Improved Neural Relation Detection for Knowledge Base Question Answering. CoRR abs/1704.06194 (2017) - [i10]Mo Yu, Xiaoxiao Guo, Jinfeng Yi, Shiyu Chang, Saloni Potdar, Gerald Tesauro, Haoyu Wang, Bowen Zhou:
Robust Task Clustering for Deep Many-Task Learning. CoRR abs/1708.07918 (2017) - [i9]Shuohang Wang, Mo Yu, Xiaoxiao Guo, Zhiguo Wang, Tim Klinger, Wei Zhang, Shiyu Chang, Gerald Tesauro, Bowen Zhou, Jing Jiang:
R3: Reinforced Reader-Ranker for Open-Domain Question Answering. CoRR abs/1709.00023 (2017) - [i8]Shiyu Chang, Yang Zhang, Wei Han, Mo Yu, Xiaoxiao Guo, Wei Tan, Xiaodong Cui, Michael Witbrock, Mark Hasegawa-Johnson, Thomas S. Huang:
Dilated Recurrent Neural Networks. CoRR abs/1710.02224 (2017) - [i7]Shuohang Wang, Mo Yu, Jing Jiang, Wei Zhang, Xiaoxiao Guo, Shiyu Chang, Zhiguo Wang, Tim Klinger, Gerald Tesauro, Murray Campbell:
Evidence Aggregation for Answer Re-Ranking in Open-Domain Question Answering. CoRR abs/1711.05116 (2017) - 2016
- [c24]Mo Yu, Xiaolong Zhang, Derek Kreager:
New to online dating? Learning from experienced users for a successful match. ASONAM 2016: 467-470 - [c23]Wenpeng Yin, Mo Yu, Bing Xiang, Bowen Zhou, Hinrich Schütze:
Simple Question Answering by Attentive Convolutional Neural Network. COLING 2016: 1746-1756 - [c22]Gakuto Kurata, Bing Xiang, Bowen Zhou, Mo Yu:
Leveraging Sentence-level Information with Encoder LSTM for Semantic Slot Filling. EMNLP 2016: 2077-2083 - [c21]Mo Yu, Mark Dredze, Raman Arora, Matthew R. Gormley:
Embedding Lexical Features via Low-Rank Tensors. HLT-NAACL 2016: 1019-1029 - [i6]Gakuto Kurata, Bing Xiang, Bowen Zhou, Mo Yu:
Leveraging Sentence-level Information with Encoder LSTM for Natural Language Understanding. CoRR abs/1601.01530 (2016) - [i5]Mo Yu, Mark Dredze, Raman Arora, Matthew R. Gormley:
Embedding Lexical Features via Low-Rank Tensors. CoRR abs/1604.00461 (2016) - [i4]Wenpeng Yin, Mo Yu, Bing Xiang, Bowen Zhou, Hinrich Schütze:
Simple Question Answering by Attentive Convolutional Neural Network. CoRR abs/1606.03391 (2016) - [i3]Yang Yu, Wei Zhang, Kazi Saidul Hasan, Mo Yu, Bing Xiang, Bowen Zhou:
End-to-End Reading Comprehension with Dynamic Answer Chunk Ranking. CoRR abs/1610.09996 (2016) - 2015
- [j2]Mo Yu, Mark Dredze:
Learning Composition Models for Phrase Embeddings. Trans. Assoc. Comput. Linguistics 3: 227-242 (2015) - [c20]Nanyun Peng, Mo Yu, Mark Dredze:
An Empirical Study of Chinese Name Matching and Applications. ACL (2) 2015: 377-383 - [c19]Matthew R. Gormley, Mo Yu, Mark Dredze:
Improved Relation Extraction with Feature-Rich Compositional Embedding Models. EMNLP 2015: 1774-1784 - [c18]Nanyun Peng, Francis Ferraro, Mo Yu, Nicholas Andrews, Jay DeYoung, Max Thomas, Matthew R. Gormley, Travis Wolfe, Craig Harman, Benjamin Van Durme, Mark Dredze:
A Concrete Chinese NLP Pipeline. HLT-NAACL 2015: 86-90 - [c17]Mo Yu, Matthew R. Gormley, Mark Dredze:
Combining Word Embeddings and Feature Embeddings for Fine-grained Relation Extraction. HLT-NAACL 2015: 1374-1379 - [i2]Matthew R. Gormley, Mo Yu, Mark Dredze:
Improved Relation Extraction with Feature-rich Compositional Embedding Models. CoRR abs/1505.02419 (2015) - 2014
- [j1]Kang Zhao, Xi Wang, Mo Yu, Bo Gao:
User Recommendations in Reciprocal and Bipartite Social Networks-An Online Dating Case Study. IEEE Intell. Syst. 29(2): 27-35 (2014) - [c16]Mo Yu, Mark Dredze:
Improving Lexical Embeddings with Semantic Knowledge. ACL (2) 2014: 545-550 - [c15]Mo Yu, Wenjun Si, Guojie Song, Zhenhui Li, John Yen:
Who were you talking to - Mining interpersonal relationships from cellphone network data. ASONAM 2014: 485-490 - [c14]Tuo Zhao, Mo Yu, Yiming Wang, Raman Arora, Han Liu:
Accelerated Mini-batch Randomized Block Coordinate Descent Method. NIPS 2014: 3329-3337 - 2013
- [c13]Mo Yu, Tiejun Zhao, Yalong Bai, Hao Tian, Dianhai Yu:
Cross-lingual Projections between Languages from Different Families. ACL (2) 2013: 312-317 - [c12]Mo Yu, Tiejun Zhao, Yalong Bai:
Learning Domain Differences Automatically for Dependency Parsing Adaptation. IJCAI 2013: 1876-1882 - [c11]Mo Yu, Tiejun Zhao, Daxiang Dong, Hao Tian, Dianhai Yu:
Compound Embedding Features for Semi-supervised Learning. HLT-NAACL 2013: 563-568 - [c10]Mo Yu, Kang Zhao, John Yen, Derek Kreager:
Recommendation in Reciprocal and Bipartite Social Networks-A Case Study of Online Dating. SBP 2013: 231-239 - [i1]Kang Zhao, Xi Wang, Mo Yu, Bo Gao:
User recommendation in reciprocal and bipartite social networks - a case study of online dating. CoRR abs/1311.2526 (2013) - 2012
- [c9]Lemao Liu, Hailong Cao, Taro Watanabe, Tiejun Zhao, Mo Yu, Conghui Zhu:
Locally Training the Log-Linear Model for SMT. EMNLP-CoNLL 2012: 402-411 - 2011
- [c8]Long Jiang, Mo Yu, Ming Zhou, Xiaohua Liu, Tiejun Zhao:
Target-dependent Twitter Sentiment Classification. ACL 2011: 151-160 - [c7]Mo Yu, Shu Wang, Conghui Zhu, Tiejun Zhao:
Semi-supervised learning for word sense disambiguation using parallel corpora. FSKD 2011: 1490-1494 - [c6]PengLong Hu, Mo Yu, Jing Li, Conghui Zhu, Tiejun Zhao:
Semi-supervised Learning Framework for Cross-Lingual Projection. Web Intelligence/IAT Workshops 2011: 213-216 - 2010
- [c5]Zhen Li, Hanjing Li, Mo Yu, Tiejun Zhao, Sheng Li:
Event Entailment Extraction Based on EM Iteration. IALP 2010: 101-104 - [c4]Yuheng Ren, Mo Yu, Xin-Jing Wang, Lei Zhang, Wei-Ying Ma:
Diversifying landmark image search results by learning interested views from community photos. WWW 2010: 1289-1292
2000 – 2009
- 2009
- [c3]Xin-Jing Wang, Mo Yu, Lei Zhang, Wei-Ying Ma:
Advertising based on users' photos. ICME 2009: 1640-1643 - [c2]Xin-Jing Wang, Mo Yu, Lei Zhang, Rui Cai, Wei-Ying Ma:
Argo: intelligent advertising by mining a user's interest from his photo collections. KDD Workshop on Data Mining and Audience Intelligence for Advertising 2009: 18-26 - [c1]Xin-Jing Wang, Mo Yu, Lei Zhang, Wei-Ying Ma:
Argo: intelligent advertising made possible from users' photos. ACM Multimedia 2009: 957-958
Coauthor Index
[c88] [i91] [c86] [c73] [c72] [c67] [i70] [i65] [i64] [c62] [c61] [i62] [i61] [i57] [c59] [c57] [c56] [c54] [c53] [c52] [c51] [c46] [c45] [c44] [c42] [c41] [c40] [i51] [i50] [i49] [i48] [i45] [i44] [i41] [i40] [i38] [i37] [i35] [i33] [i32] [i31] [c38] [c37] [c35] [c34] [c32] [c31] [c30] [c29] [c28] [i25] [i24] [i23] [i22] [i19] [i18] [i14] [c25] [i10] [i9] [i8] [i7]
[c91] [i73] [j4] [c73] [i69] [c65] [c62] [i61] [i60] [i57] [i56] [j3] [c59] [c57] [c56] [c54] [c52] [c51] [c50] [c49] [c44] [c42] [c41] [c39] [i52] [i51] [i50] [i49] [i48] [i47] [i44] [i41] [i40] [i38] [i35] [i34] [i30] [c38] [c31] [c30] [c29] [c28] [i26] [i24] [i22] [i19] [c25] [i10] [i9] [i8] [i7]
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