Mo Yu

243 papers A* 31A 3B 3Misc 1Journal 134Unranked 70
YearRankTypeTitle / Venue / Authors
2026 A* conf
ComoRAG: A Cognitive-Inspired Memory-Organized RAG for Stateful Long Narrative Reasoning.
AAAI
Juyuan Wang, Rongchen Zhao, Wei Wei, Yufeng Wang, Mo Yu, Jie Zhou, Jin Xu, Liyan Xu
2026 J jnl
MERIT: Memory-Enhanced Retrieval for Interpretable Knowledge Tracing.
CoRR
Runze Li, Kedi Chen, Guwei Feng, Mo Yu, Jun Wang, Wei Zhang
2026 J jnl
No Global Plan in Chain-of-Thought: Uncover the Latent Planning Horizon of LLMs.
CoRR
Liyan Xu, Mo Yu, Fandong Meng, Jie Zhou
2026 J jnl
Query-focused and Memory-aware Reranker for Long Context Processing.
CoRR
Yuqing Li, Jiangnan Li, Mo Yu, Guoxuan Ding, Zheng Lin, Weiping Wang, Jie Zhou
2025 J jnl
A Survey on the Honesty of Large Language Models.
Trans. Mach. Learn. Res.
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
2025 A* conf
Coherency Improved Explainable Recommendation via Large Language Model.
AAAI
Shijie Liu, Ruixin Ding, Weihai Lu, Jun Wang, Mo Yu, Xiaoming Shi, Wei Zhang
2025 J jnl
Coherency Improved Explainable Recommendation via Large Language Model.
CoRR
Shijie Liu, Ruixing Ding, Weihai Lu, Jun Wang, Mo Yu, Xiaoming Shi, Wei Zhang
2025 J jnl
ComoRAG: A Cognitive-Inspired Memory-Organized RAG for Stateful Long Narrative Reasoning.
CoRR
Juyuan Wang, Rongchen Zhao, Wei Wei, Yufeng Wang, Mo Yu, Jie Zhou, Jin Xu, Liyan Xu
2025 J jnl
DBudgetKV: Dynamic Budget in KV Cache Compression for Ensuring Optimal Performance.
CoRR
Xuanfan Ni, Liyan Xu, Chenyang Lyu, Longyue Wang, Mo Yu, Lemao Liu, Fandong Meng, Jie Zhou, Piji Li
2025 — conf
Dense Retrievers Can Fail on Simple Queries: Revealing The Granularity Dilemma of Embeddings.
EMNLP (Findings)
Liyan Xu, Zhenlin Su, Mo Yu, Jiangnan Li, Fandong Meng, Jie Zhou
2025 J jnl
Dense Retrievers Can Fail on Simple Queries: Revealing The Granularity Dilemma of Embeddings.
CoRR
Liyan Xu, Zhenlin Su, Mo Yu, Jiangnan Li, Fandong Meng, Jie Zhou
2025 — conf
DivLogicEval: A Framework for Benchmarking Logical Reasoning Evaluation in Large Language Models.
EMNLP (Findings)
Tsz Ting Chung, Lemao Liu, Mo Yu, Dit-Yan Yeung
2025 J jnl
DivLogicEval: A Framework for Benchmarking Logical Reasoning Evaluation in Large Language Models.
CoRR
Tsz Ting Chung, Lemao Liu, Mo Yu, Dit-Yan Yeung
2025 J jnl
FaceID-6M: A Large-Scale, Open-Source FaceID Customization Dataset.
CoRR
Shuhe Wang, Xiaoya Li, Jiwei Li, Guoyin Wang, Xiaofei Sun, Bob Zhu, Han Qiu, Mo Yu, Shengjie Shen, Tianwei Zhang, Eduard H. Hovy
2025 J jnl
Improving Multi-step RAG with Hypergraph-based Memory for Long-Context Complex Relational Modeling.
CoRR
Chulun Zhou, Chunkang Zhang, Guoxin Yu, Fandong Meng, Jie Zhou, Wai Lam, Mo Yu
2025 J jnl
Mindscape-Aware Retrieval Augmented Generation for Improved Long Context Understanding.
CoRR
Yuqing Li, Jiangnan Li, Zheng Lin, Ziyan Zhou, Junjie Wu, Weiping Wang, Jie Zhou, Mo Yu
2025 J jnl
PRELUDE: A Benchmark Designed to Require Global Comprehension and Reasoning over Long Contexts.
CoRR
Mo Yu, Tsz Ting Chung, Chulun Zhou, Tong Li, Rui Lu, Jiangnan Li, Liyan Xu, Haoshu Lu, Ning Zhang, Jing Li, Jie Zhou
2025 J jnl
Pushing the Limits of Low-Bit Optimizers: A Focus on EMA Dynamics.
CoRR
Cong Xu, Wenbin Liang, Mo Yu, Anan Liu, Ke-Yue Zhang, Lizhuang Ma, Jianyong Wang, Jun Wang, Wei Zhang
2025 J jnl
Rebalancing Discriminative Responses for Knowledge Tracing.
ACM Trans. Inf. Syst.
Jiajun Cui, Hong Qian, Chanjin Zheng, Lu Wang, Mo Yu, Wei Zhang
2025 J jnl
SitEmb-v1.5: Improved Context-Aware Dense Retrieval for Semantic Association and Long Story Comprehension.
CoRR
Junjie Wu, Jiangnan Li, Yuqing Li, Lemao Liu, Liyan Xu, Jiwei Li, Dit-Yan Yeung, Jie Zhou, Mo Yu
2025 — conf
The Essence of Contextual Understanding in Theory of Mind: A Study on Question Answering with Story Characters.
ACL (1)
Chulun Zhou, Qiujing Wang, Mo Yu, Xiaoqian Yue, Rui Lu, Jiangnan Li, Yifan Zhou, Shunchi Zhang, Jie Zhou, Wai Lam
2025 J jnl
The Essence of Contextual Understanding in Theory of Mind: A Study on Question Answering with Story Characters.
CoRR
Chulun Zhou, Qiujing Wang, Mo Yu, Xiaoqian Yue, Rui Lu, Jiangnan Li, Yifan Zhou, Shunchi Zhang, Jie Zhou, Wai Lam
2025 — conf
The Stochastic Parrot on LLM's Shoulder: A Summative Assessment of Physical Concept Understanding.
NAACL (Long Papers)
Mo Yu, Lemao Liu, Junjie Wu, Tsz Ting Chung, Shunchi Zhang, Jiangnan Li, Dit-Yan Yeung, Jie Zhou
2025 J jnl
The Stochastic Parrot on LLM's Shoulder: A Summative Assessment of Physical Concept Understanding.
CoRR
Mo Yu, Lemao Liu, Junjie Wu, Tsz Ting Chung, Shunchi Zhang, Jiangnan Li, Dit-Yan Yeung, Jie Zhou
2025 — conf
Understanding LLMs' Fluid Intelligence Deficiency: An Analysis of the ARC Task.
NAACL (Long Papers)
Junjie Wu, Mo Yu, Lemao Liu, Dit-Yan Yeung, Jie Zhou
2025 J jnl
Understanding LLMs' Fluid Intelligence Deficiency: An Analysis of the ARC Task.
CoRR
Junjie Wu, Mo Yu, Lemao Liu, Dit-Yan Yeung, Jie Zhou
2024 J jnl
A Survey on the Honesty of Large Language Models.
CoRR
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
2024 J jnl
An Energy-based Model for Word-level AutoCompletion in Computer-aided Translation.
CoRR
Cheng Yang, Guoping Huang, Mo Yu, Zhirui Zhang, Siheng Li, Mingming Yang, Shuming Shi, Yujiu Yang, Lemao Liu
2024 J jnl
An Energy-based Model for Word-level AutoCompletion in Computer-aided Translation.
Trans. Assoc. Comput. Linguistics
Cheng Yang, Guoping Huang, Mo Yu, Zhirui Zhang, Siheng Li, Mingming Yang, Shuming Shi, Yujiu Yang, Lemao Liu
2024 J jnl
Are LLM-based Recommenders Already the Best? Simple Scaled Cross-entropy Unleashes the Potential of Traditional Sequential Recommenders.
CoRR
Cong Xu, Zhangchi Zhu, Mo Yu, Jun Wang, Jianyong Wang, Wei Zhang
2024 A* conf
Few-Shot Character Understanding in Movies as an Assessment to Meta-Learning of Theory-of-Mind.
ICML
Mo Yu, Qiujing Wang, Shunchi Zhang, Yisi Sang, Kangsheng Pu, Zekai Wei, Han Wang, Liyan Xu, Jing Li, Yue Yu, Jie Zhou
2024 — conf
Fine-Grained Modeling of Narrative Context: A Coherence Perspective via Retrospective Questions.
ACL (1)
Liyan Xu, Jiangnan Li, Mo Yu, Jie Zhou
2024 J jnl
Graph Representation of Narrative Context: Coherence Dependency via Retrospective Questions.
CoRR
Liyan Xu, Jiangnan Li, Mo Yu, Jie Zhou
2024 — conf
Identifying Factual Inconsistencies in Summaries: Grounding LLM Inference via Task Taxonomy.
EMNLP (Findings)
Liyan Xu, Zhenlin Su, Mo Yu, Jin Xu, Jinho D. Choi, Jie Zhou, Fei Liu
2024 J jnl
Identifying Factual Inconsistency in Summaries: Towards Effective Utilization of Large Language Model.
CoRR
Liyan Xu, Zhenlin Su, Mo Yu, Jin Xu, Jinho D. Choi, Jie Zhou, Fei Liu
2024 J jnl
Large Language Models Can Self-Improve in Long-context Reasoning.
CoRR
Siheng Li, Cheng Yang, Zesen Cheng, Lemao Liu, Mo Yu, Yujiu Yang, Wai Lam
2024 J jnl
MANGO: A Benchmark for Evaluating Mapping and Navigation Abilities of Large Language Models.
CoRR
Peng Ding, Jiading Fang, Peng Li, Kangrui Wang, Xiaochen Zhou, Mo Yu, Jing Li, Matthew R. Walter, Hongyuan Mei
2024 — conf
On Large Language Models' Hallucination with Regard to Known Facts.
NAACL-HLT
Che Jiang, Biqing Qi, Xiangyu Hong, Dayuan Fu, Yang Cheng, Fandong Meng, Mo Yu, Bowen Zhou, Jie Zhou
2024 J jnl
On Large Language Models' Hallucination with Regard to Known Facts.
CoRR
Che Jiang, Biqing Qi, Xiangyu Hong, Dayuan Fu, Yang Cheng, Fandong Meng, Mo Yu, Bowen Zhou, Jie Zhou
2024 — conf
On the token distance modeling ability of higher RoPE attention dimension.
EMNLP (Findings)
Xiangyu Hong, Che Jiang, Biqing Qi, Fandong Meng, Mo Yu, Bowen Zhou, Jie Zhou
2024 J jnl
On the token distance modeling ability of higher RoPE attention dimension.
CoRR
Xiangyu Hong, Che Jiang, Biqing Qi, Fandong Meng, Mo Yu, Bowen Zhou, Jie Zhou
2024 — conf
Plot Retrieval as an Assessment of Abstract Semantic Association.
ACL (Student Research Workshop)
Shicheng Xu, Liang Pang, Jiangnan Li, Mo Yu, Fandong Meng, Huawei Shen, Xueqi Cheng, Jie Zhou
2024 J jnl
Previously on the Stories: Recap Snippet Identification for Story Reading.
CoRR
Jiangnan Li, Qiujing Wang, Liyan Xu, Wenjie Pang, Mo Yu, Zheng Lin, Weiping Wang, Jie Zhou
2024 A* conf
Rethinking the Evaluation of In-Context Learning for LLMs.
EMNLP
Guoxin Yu, Lemao Liu, Mo Yu, Yue Yu, Xiang Ao
2024 J jnl
Think out Loud: Emotion Deducing Explanation in Dialogues.
CoRR
Jiangnan Li, Zheng Lin, Lanrui Wang, Qingyi Si, Yanan Cao, Mo Yu, Peng Fu, Weiping Wang, Jie Zhou
2024 — conf
Unsupervised Information Refinement Training of Large Language Models for Retrieval-Augmented Generation.
ACL (1)
Shicheng Xu, Liang Pang, Mo Yu, Fandong Meng, Huawei Shen, Xueqi Cheng, Jie Zhou
2024 J jnl
Unsupervised Information Refinement Training of Large Language Models for Retrieval-Augmented Generation.
CoRR
Shicheng Xu, Liang Pang, Mo Yu, Fandong Meng, Huawei Shen, Xueqi Cheng, Jie Zhou
2023 J jnl
Can Large Language Models Play Text Games Well? Current State-of-the-Art and Open Questions.
CoRR
Chen-Feng Tsai, Xiaochen Zhou, Sierra S. Liu, Jing Li, Mo Yu, Hongyuan Mei
2023 A* conf
Explicit Planning Helps Language Models in Logical Reasoning.
EMNLP
Hongyu Zhao, Kangrui Wang, Mo Yu, Hongyuan Mei
2023 J jnl
Explicit Planning Helps Language Models in Logical Reasoning.
CoRR
Hongyu Zhao, Kangrui Wang, Mo Yu, Hongyuan Mei
2023 A conf
Generalizable Reinforcement Learning-Based Coarsening Model for Resource Allocation over Large and Diverse Stream Processing Graphs.
IPDPS
Lanshun Nie, Yuqi Qiu, Fei Meng, Mo Yu, Jing Li
2023 — conf
JECC: Commonsense Reasoning Tasks Derived from Interactive Fictions.
ACL (Findings)
Mo Yu, Yi Gu, Xiaoxiao Guo, Yufei Feng, Xiaodan Zhu, Michael A. Greenspan, Murray Campbell, Chuang Gan
2023 J jnl
MetaNO: How to Transfer Your Knowledge on Learning Hidden Physics.
CoRR
Lu Zhang, Huaiqian You, Tian Gao, Mo Yu, Chung-Hao Lee, Yue Yu
2023 — conf
Personality Understanding of Fictional Characters during Book Reading.
ACL (1)
Mo Yu, Jiangnan Li, Shunyu Yao, Wenjie Pang, Xiaochen Zhou, Xiao Zhou, Fandong Meng, Jie Zhou
2023 J jnl
Personality Understanding of Fictional Characters during Book Reading.
CoRR
Mo Yu, Jiangnan Li, Shunyu Yao, Wenjie Pang, Xiaochen Zhou, Xiao Zhou, Fandong Meng, Jie Zhou
2023 J jnl
Plot Retrieval as an Assessment of Abstract Semantic Association.
CoRR
Shicheng Xu, Liang Pang, Jiangnan Li, Mo Yu, Fandong Meng, Huawei Shen, Xueqi Cheng, Jie Zhou
2023 — conf
Question-Interlocutor Scope Realized Graph Modeling over Key Utterances for Dialogue Reading Comprehension.
ACL (Findings)
Jiangnan Li, Mo Yu, Fandong Meng, Zheng Lin, Peng Fu, Weiping Wang, Jie Zhou
2023 — conf
The Art of Prompting: Event Detection based on Type Specific Prompts.
ACL (2)
Sijia Wang, Mo Yu, Lifu Huang
2023 A* conf
Towards Coherent Image Inpainting Using Denoising Diffusion Implicit Models.
ICML
Guanhua Zhang, Jiabao Ji, Yang Zhang, Mo Yu, Tommi S. Jaakkola, Shiyu Chang
2023 J jnl
Towards Coherent Image Inpainting Using Denoising Diffusion Implicit Models.
CoRR
Guanhua Zhang, Jiabao Ji, Yang Zhang, Mo Yu, Tommi S. Jaakkola, Shiyu Chang
2022 A* conf
A Survey of Machine Narrative Reading Comprehension Assessments.
IJCAI
Yisi Sang, Xiangyang Mou, Jing Li, Jeffrey M. Stanton, Mo Yu
2022 J jnl
A Survey of Machine Narrative Reading Comprehension Assessments.
CoRR
Yisi Sang, Xiangyang Mou, Jing Li, Jeffrey M. Stanton, Mo Yu
2022 J jnl
Educational Question Generation of Children Storybooks via Question Type Distribution Learning and Event-Centric Summarization.
CoRR
Zhenjie Zhao, Yufang Hou, Dakuo Wang, Mo Yu, Chengzhong Liu, Xiaojuan Ma
2022 — conf
Educational Question Generation of Children Storybooks via Question Type Distribution Learning and Event-centric Summarization.
ACL (1)
Zhenjie Zhao, Yufang Hou, Dakuo Wang, Mo Yu, Chengzhong Liu, Xiaojuan Ma
2022 J jnl
Efficient Long Sequence Encoding via Synchronization.
CoRR
Xiangyang Mou, Mo Yu, Bingsheng Yao, Lifu Huang
2022 J jnl
Evidence Integration for Multi-Hop Reading Comprehension With Graph Neural Networks.
IEEE Trans. Knowl. Data Eng.
Linfeng Song, Zhiguo Wang, Mo Yu, Yue Zhang, Radu Florian, Daniel Gildea
2022 J jnl
FaithDial: A Faithful Benchmark for Information-Seeking Dialogue.
CoRR
Nouha Dziri, Ehsan Kamalloo, Sivan Milton, Osmar Zaïane, Mo Yu, Edoardo Maria Ponti, Siva Reddy
2022 J jnl
FaithDial: A Faithful Benchmark for Information-Seeking Dialogue.
Trans. Assoc. Comput. Linguistics
Nouha Dziri, Ehsan Kamalloo, Sivan Milton, Osmar R. Zaïane, Mo Yu, Edoardo Maria Ponti, Siva Reddy
2022 — conf
Fantastic Questions and Where to Find Them: FairytaleQA - An Authentic Dataset for Narrative Comprehension.
ACL (1)
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
2022 J jnl
Fantastic Questions and Where to Find Them: FairytaleQA - An Authentic Dataset for Narrative Comprehension.
CoRR
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
2022 J jnl
Few-Shot Character Understanding in Movies as an Assessment to Meta-Learning of Theory-of-Mind.
CoRR
Mo Yu, Yisi Sang, Kangsheng Pu, Zekai Wei, Han Wang, Jing Li, Yue Yu, Jie Zhou
2022 J jnl
Group Chat Ecology in Enterprise Instant Messaging: How Employees Collaborate Through Multi-User Chat Channels on Slack.
Proc. ACM Hum. Comput. Interact.
Dakuo Wang, Haoyu Wang, Mo Yu, Zahra Ashktorab, Ming Tan
2022 — conf
It is AI's Turn to Ask Humans a Question: Question-Answer Pair Generation for Children's Story Books.
ACL (1)
Bingsheng Yao, Dakuo Wang, Tongshuang Wu, Zheng Zhang, Toby Jia-Jun Li, Mo Yu, Ying Xu
2022 J jnl
JECC: Commonsense Reasoning Tasks Derived from Interactive Fictions.
CoRR
Mo Yu, Xiaoxiao Guo, Yufei Feng, Yi Gu, Xiaodan Zhu, Michael A. Greenspan, Murray Campbell, Chuang Gan
2022 — conf
Learning as Conversation: Dialogue Systems Reinforced for Information Acquisition.
NAACL-HLT
Pengshan Cai, Hui Wan, Fei Liu, Mo Yu, Hong Yu, Sachindra Joshi
2022 J jnl
Learning as Conversation: Dialogue Systems Reinforced for Information Acquisition.
CoRR
Pengshan Cai, Hui Wan, Fei Liu, Mo Yu, Hong Yu, Sachindra Joshi
2022 A* conf
Linking Emergent and Natural Languages via Corpus Transfer.
ICLR
Shunyu Yao, Mo Yu, Yang Zhang, Karthik R. Narasimhan, Joshua B. Tenenbaum, Chuang Gan
2022 J jnl
Linking Emergent and Natural Languages via Corpus Transfer.
CoRR
Shunyu Yao, Mo Yu, Yang Zhang, Karthik R. Narasimhan, Joshua B. Tenenbaum, Chuang Gan
2022 — conf
MBTI Personality Prediction for Fictional Characters Using Movie Scripts.
EMNLP (Findings)
Yisi Sang, Xiangyang Mou, Mo Yu, Dakuo Wang, Jing Li, Jeffrey M. Stanton
2022 J jnl
MBTI Personality Prediction for Fictional Characters Using Movie Scripts.
CoRR
Yisi Sang, Xiangyang Mou, Mo Yu, Dakuo Wang, Jing Li, Jeffrey M. Stanton
2022 — conf
On the Origin of Hallucinations in Conversational Models: Is it the Datasets or the Models?
NAACL-HLT
Nouha Dziri, Sivan Milton, Mo Yu, Osmar R. Zaïane, Siva Reddy
2022 J jnl
On the Origin of Hallucinations in Conversational Models: Is it the Datasets or the Models?
CoRR
Nouha Dziri, Sivan Milton, Mo Yu, Osmar Zaïane, Siva Reddy
2022 J jnl
Probing Script Knowledge from Pre-Trained Models.
CoRR
Zijian Jin, Xingyu Zhang, Mo Yu, Lifu Huang
2022 — conf
Query and Extract: Refining Event Extraction as Type-oriented Binary Decoding.
ACL (Findings)
Sijia Wang, Mo Yu, Shiyu Chang, Lichao Sun, Lifu Huang
2022 J jnl
Question-Interlocutor Scope Realized Graph Modeling over Key Utterances for Dialogue Reading Comprehension.
CoRR
Jiangnan Li, Mo Yu, Fandong Meng, Zheng Lin, Peng Fu, Weiping Wang, Jie Zhou
2022 — conf
Revisiting the Roles of "Text" in Text Games.
EMNLP (Findings)
Yi Gu, Shunyu Yao, Chuang Gan, Josh Tenenbaum, Mo Yu
2022 J jnl
Revisiting the Roles of "Text" in Text Games.
CoRR
Yi Gu, Shunyu Yao, Chuang Gan, Joshua B. Tenenbaum, Mo Yu
2022 A* conf
StoryBuddy: A Human-AI Collaborative Chatbot for Parent-Child Interactive Storytelling with Flexible Parental Involvement.
CHI
Zheng Zhang, Ying Xu, Yanhao Wang, Bingsheng Yao, Daniel Ritchie, Tongshuang Wu, Mo Yu, Dakuo Wang, Toby Jia-Jun Li
2022 J jnl
StoryBuddy: A Human-AI Collaborative Chatbot for Parent-Child Interactive Storytelling with Flexible Parental Involvement.
CoRR
Zheng Zhang, Ying Xu, Yanhao Wang, Bingsheng Yao, Daniel Ritchie, Tongshuang Wu, Mo Yu, Dakuo Wang, Toby Jia-Jun Li
2022 — conf
TVShowGuess: Character Comprehension in Stories as Speaker Guessing.
NAACL-HLT
Yisi Sang, Xiangyang Mou, Mo Yu, Shunyu Yao, Jing Li, Jeffrey M. Stanton
2022 J jnl
TVShowGuess: Character Comprehension in Stories as Speaker Guessing.
CoRR
Yisi Sang, Xiangyang Mou, Mo Yu, Shunyu Yao, Jing Li, Jeffrey M. Stanton
2022 J jnl
The Art of Prompting: Event Detection based on Type Specific Prompts.
CoRR
Sijia Wang, Mo Yu, Lifu Huang
2021 — conf
Benchmarking Commercial Intent Detection Services with Practice-Driven Evaluations.
NAACL-HLT (Industry Papers)
Haode Qi, Lin Pan, Atin Sood, Abhishek Shah, Ladislav Kunc, Mo Yu, Saloni Potdar
2021 J jnl
CASS: Towards Building a Social-Support Chatbot for Online Health Community.
CoRR
Liuping Wang, Dakuo Wang, Feng Tian, Zhenhui Peng, Xiangmin Fan, Zhan Zhang, Shuai Ma, Mo Yu, Xiaojuan Ma, Hongan Wang
2021 J jnl
CASS: Towards Building a Social-Support Chatbot for Online Health Community.
Proc. ACM Hum. Comput. Interact.
Liuping Wang, Dakuo Wang, Feng Tian, Zhenhui Peng, Xiangmin Fan, Zhan Zhang, Mo Yu, Xiaojuan Ma, Hongan Wang
2021 A conf
Complementary Evidence Identification in Open-Domain Question Answering.
EACL
Xiangyang Mou, Mo Yu, Shiyu Chang, Yufei Feng, Li Zhang, Hui Su
2021 J jnl
Complementary Evidence Identification in Open-Domain Question Answering.
CoRR
Xiangyang Mou, Mo Yu, Shiyu Chang, Yufei Feng, Li Zhang, Hui Su
2021 J jnl
Feudal Reinforcement Learning by Reading Manuals.
CoRR
Kai Wang, Zhonghao Wang, Mo Yu, Humphrey Shi
2021 J jnl
Improved Text Classification via Contrastive Adversarial Training.
CoRR
Lin Pan, Chung-Wei Hang, Avirup Sil, Saloni Potdar, Mo Yu
2021 A* conf
Interpretable Visual Reasoning via Induced Symbolic Space.
ICCV
Zhonghao Wang, Kai Wang, Mo Yu, Jinjun Xiong, Wen-Mei Hwu, Mark Hasegawa-Johnson, Humphrey Shi
2021 J jnl
It is AI's Turn to Ask Human a Question: Question and Answer Pair Generation for Children Storybooks in FairytaleQA Dataset.
CoRR
Bingsheng Yao, Dakuo Wang, Tongshuang Wu, Tran Bao Hoang, Branda Sun, Toby Jia-Jun Li, Mo Yu, Ying Xu
2021 — conf
Leveraging Abstract Meaning Representation for Knowledge Base Question Answering.
ACL/IJCNLP (Findings)
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
2021 — conf
Multilingual BERT Post-Pretraining Alignment.
NAACL-HLT
Lin Pan, Chung-Wei Hang, Haode Qi, Abhishek Shah, Saloni Potdar, Mo Yu
2021 J jnl
Narrative Question Answering with Cutting-Edge Open-Domain QA Techniques: A Comprehensive Study.
CoRR
Xiangyang Mou, Chenghao Yang, Mo Yu, Bingsheng Yao, Xiaoxiao Guo, Saloni Potdar, Hui Su
2021 J jnl
Narrative Question Answering with Cutting-Edge Open-Domain QA Techniques: A Comprehensive Study.
Trans. Assoc. Comput. Linguistics
Xiangyang Mou, Chenghao Yang, Mo Yu, Bingsheng Yao, Xiaoxiao Guo, Saloni Potdar, Hui Su
2021 J jnl
Query and Extract: Refining Event Extraction as Type-oriented Binary Decoding.
CoRR
Sijia Wang, Mo Yu, Shiyu Chang, Lichao Sun, Lifu Huang
2021 — conf
Timeline Summarization based on Event Graph Compression via Time-Aware Optimal Transport.
EMNLP (1)
Manling Li, Tengfei Ma, Mo Yu, Lingfei Wu, Tian Gao, Heng Ji, Kathleen R. McKeown
2021 A* conf
Understanding Interlocking Dynamics of Cooperative Rationalization.
NeurIPS
Mo Yu, Yang Zhang, Shiyu Chang, Tommi S. Jaakkola
2021 J jnl
Understanding Interlocking Dynamics of Cooperative Rationalization.
CoRR
Mo Yu, Yang Zhang, Shiyu Chang, Tommi S. Jaakkola
2021 — conf
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
Yufei Feng, Mo Yu, Wenhan Xiong, Xiaoxiao Guo, Junjie Huang, Shiyu Chang, Murray Campbell, Michael A. Greenspan, Xiaodan Zhu
2020 J jnl
Deriving Commonsense Inference Tasks from Interactive Fictions.
CoRR
Mo Yu, Xiaoxiao Guo, Yufei Feng, Xiaodan Zhu, Michael A. Greenspan, Murray Campbell
2020 A* conf
Differential Treatment for Stuff and Things: A Simple Unsupervised Domain Adaptation Method for Semantic Segmentation.
CVPR
Zhonghao Wang, Mo Yu, Yunchao Wei, Rogério Feris, Jinjun Xiong, Wen-Mei Hwu, Thomas S. Huang, Honghui Shi
2020 J jnl
Differential Treatment for Stuff and Things: A Simple Unsupervised Domain Adaptation Method for Semantic Segmentation.
CoRR
Zhonghao Wang, Mo Yu, Yunchao Wei, Rogério Schmidt Feris, Jinjun Xiong, Wen-Mei Hwu, Thomas S. Huang, Honghui Shi
2020 — conf
Frustratingly Hard Evidence Retrieval for QA Over Books.
NUSE@ACL
Xiangyang Mou, Mo Yu, Bingsheng Yao, Chenghao Yang, Xiaoxiao Guo, Saloni Potdar, Hui Su
2020 J jnl
Frustratingly Hard Evidence Retrieval for QA Over Books.
CoRR
Xiangyang Mou, Mo Yu, Bingsheng Yao, Chenghao Yang, Xiaoxiao Guo, Saloni Potdar, Hui Su
2020 A* conf
Generalizable Resource Allocation in Stream Processing via Deep Reinforcement Learning.
AAAI
Xiang Ni, Jing Li, Mo Yu, Wang Zhou, Kun-Lung Wu
2020 — conf
Interactive Fiction Game Playing as Multi-Paragraph Reading Comprehension with Reinforcement Learning.
EMNLP (1)
Xiaoxiao Guo, Mo Yu, Yupeng Gao, Chuang Gan, Murray Campbell, Shiyu Chang
2020 J jnl
Interactive Fiction Game Playing as Multi-Paragraph Reading Comprehension with Reinforcement Learning.
CoRR
Xiaoxiao Guo, Mo Yu, Yupeng Gao, Chuang Gan, Murray Campbell, Shiyu Chang
2020 J jnl
Interpretable Visual Reasoning via Induced Symbolic Space.
CoRR
Zhonghao Wang, Mo Yu, Kai Wang, Jinjun Xiong, Wen-Mei Hwu, Mark Hasegawa-Johnson, Humphrey Shi
2020 A* conf
Invariant Rationalization.
ICML
Shiyu Chang, Yang Zhang, Mo Yu, Tommi S. Jaakkola
2020 J jnl
Invariant Rationalization.
CoRR
Shiyu Chang, Yang Zhang, Mo Yu, Tommi S. Jaakkola
2020 J jnl
Learning to Recover Reasoning Chains for Multi-Hop Question Answering via Cooperative Games.
CoRR
Yufei Feng, Mo Yu, Wenhan Xiong, Xiaoxiao Guo, Junjie Huang, Shiyu Chang, Murray Campbell, Michael A. Greenspan, Xiaodan Zhu
2020 — conf
Leveraging Semantic Parsing for Relation Linking over Knowledge Bases.
ISWC (1)
Nandana Mihindukulasooriya, Gaetano Rossiello, Pavan Kapanipathi, Ibrahim Abdelaziz, Srinivas Ravishankar, Mo Yu, Alfio Gliozzo, Salim Roukos, Alexander G. Gray
2020 J jnl
Leveraging Semantic Parsing for Relation Linking over Knowledge Bases.
CoRR
Nandana Mihindukulasooriya, Gaetano Rossiello, Pavan Kapanipathi, Ibrahim Abdelaziz, Srinivas Ravishankar, Mo Yu, Alfio Gliozzo, Salim Roukos, Alexander G. Gray
2020 — conf
MCMH: Learning Multi-Chain Multi-Hop Rules for Knowledge Graph Reasoning.
EMNLP (Findings)
Lu Zhang, Mo Yu, Tian Gao, Yue Yu
2020 J jnl
MCMH: Learning Multi-Chain Multi-Hop Rules for Knowledge Graph Reasoning.
CoRR
Lu Zhang, Mo Yu, Tian Gao, Yue Yu
2020 J jnl
Multilingual BERT Post-Pretraining Alignment.
CoRR
Lin Pan, Chung-Wei Hang, Haode Qi, Abhishek Shah, Mo Yu, Saloni Potdar
2020 J jnl
Question Answering over Knowledge Bases by Leveraging Semantic Parsing and Neuro-Symbolic Reasoning.
CoRR
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
2019 A* conf
A Game Theoretic Approach to Class-wise Selective Rationalization.
NeurIPS
Shiyu Chang, Yang Zhang, Mo Yu, Tommi S. Jaakkola
2019 J jnl
A Game Theoretic Approach to Class-wise Selective Rationalization.
CoRR
Shiyu Chang, Yang Zhang, Mo Yu, Tommi S. Jaakkola
2019 J jnl
A Hybrid Approach with Optimization and Metric-based Meta-Learner for Few-Shot Learning.
CoRR
Duo Wang, Yu Cheng, Mo Yu, Xiaoxiao Guo, Tao Zhang
2019 J jnl
A hybrid approach with optimization-based and metric-based meta-learner for few-shot learning.
Neurocomputing
Duo Wang, Yu Cheng, Mo Yu, Xiaoxiao Guo, Tao Zhang
2019 J jnl
An Efficient and Margin-Approaching Zero-Confidence Adversarial Attack.
CoRR
Yang Zhang, Shiyu Chang, Mo Yu, Kaizhi Qian
2019 — conf
Context-Aware Conversation Thread Detection in Multi-Party Chat.
EMNLP/IJCNLP (1)
Ming Tan, Dakuo Wang, Yupeng Gao, Haoyu Wang, Saloni Potdar, Xiaoxiao Guo, Shiyu Chang, Mo Yu
2019 — conf
Cross-lingual Knowledge Graph Alignment via Graph Matching Neural Network.
ACL (1)
Kun Xu, Liwei Wang, Mo Yu, Yansong Feng, Yan Song, Zhiguo Wang, Dong Yu
2019 J jnl
Cross-lingual Knowledge Graph Alignment via Graph Matching Neural Network.
CoRR
Kun Xu, Liwei Wang, Mo Yu, Yansong Feng, Yan Song, Zhiguo Wang, Dong Yu
2019 A* conf
DAG-GNN: DAG Structure Learning with Graph Neural Networks.
ICML
Yue Yu, Jie Chen, Tian Gao, Mo Yu
2019 J jnl
DAG-GNN: DAG Structure Learning with Graph Neural Networks.
CoRR
Yue Yu, Jie Chen, Tian Gao, Mo Yu
2019 — conf
Do Multi-hop Readers Dream of Reasoning Chains?
MRQA@EMNLP
Haoyu Wang, Mo Yu, Xiaoxiao Guo, Rajarshi Das, Wenhan Xiong, Tian Gao
2019 J jnl
Do Multi-hop Readers Dream of Reasoning Chains?
CoRR
Haoyu Wang, Mo Yu, Xiaoxiao Guo, Rajarshi Das, Wenhan Xiong, Tian Gao
2019 — conf
Extracting Multiple-Relations in One-Pass with Pre-Trained Transformers.
ACL (1)
Haoyu Wang, Ming Tan, Mo Yu, Shiyu Chang, Dakuo Wang, Kun Xu, Xiaoxiao Guo, Saloni Potdar
2019 J jnl
Extracting Multiple-Relations in One-Pass with Pre-Trained Transformers.
CoRR
Haoyu Wang, Ming Tan, Mo Yu, Shiyu Chang, Dakuo Wang, Kun Xu, Xiaoxiao Guo, Saloni Potdar
2019 J jnl
Few-shot Learning with Meta Metric Learners.
CoRR
Yu Cheng, Mo Yu, Xiaoxiao Guo, Bowen Zhou
2019 J jnl
Generalizable Resource Allocation in Stream Processing via Deep Reinforcement Learning.
CoRR
Xiang Ni, Jing Li, Mo Yu, Wang Zhou, Kun-Lung Wu
2019 A* conf
Hybrid Reinforcement Learning with Expert State Sequences.
AAAI
Xiaoxiao Guo, Shiyu Chang, Mo Yu, Gerald Tesauro, Murray Campbell
2019 J jnl
Hybrid Reinforcement Learning with Expert State Sequences.
CoRR
Xiaoxiao Guo, Shiyu Chang, Mo Yu, Gerald Tesauro, Murray Campbell
2019 — conf
Imposing Label-Relational Inductive Bias for Extremely Fine-Grained Entity Typing.
NAACL-HLT (1)
Wenhan Xiong, Jiawei Wu, Deren Lei, Mo Yu, Shiyu Chang, Xiaoxiao Guo, William Yang Wang
2019 J jnl
Imposing Label-Relational Inductive Bias for Extremely Fine-Grained Entity Typing.
CoRR
Wenhan Xiong, Jiawei Wu, Deren Lei, Mo Yu, Shiyu Chang, Xiaoxiao Guo, William Yang Wang
2019 A* conf
Improving Natural Language Inference Using External Knowledge in the Science Questions Domain.
AAAI
Xiaoyan Wang, Pavan Kapanipathi, Ryan Musa, Mo Yu, Kartik Talamadupula, Ibrahim Abdelaziz, Maria Chang, Achille Fokoue, Bassem Makni, Nicholas Mattei, Michael Witbrock
2019 — conf
Improving Question Answering over Incomplete KBs with Knowledge-Aware Reader.
ACL (1)
Wenhan Xiong, Mo Yu, Shiyu Chang, Xiaoxiao Guo, William Yang Wang
2019 J jnl
Improving Question Answering over Incomplete KBs with Knowledge-Aware Reader.
CoRR
Wenhan Xiong, Mo Yu, Shiyu Chang, Xiaoxiao Guo, William Yang Wang
2019 — conf
Leveraging Dependency Forest for Neural Medical Relation Extraction.
EMNLP/IJCNLP (1)
Linfeng Song, Yue Zhang, Daniel Gildea, Mo Yu, Zhiguo Wang, Jinsong Su
2019 J jnl
Leveraging Dependency Forest for Neural Medical Relation Extraction.
CoRR
Linfeng Song, Yue Zhang, Daniel Gildea, Mo Yu, Zhiguo Wang, Jinsong Su
2019 J jnl
Meta Reasoning over Knowledge Graphs.
CoRR
Hong Wang, Wenhan Xiong, Mo Yu, Xiaoxiao Guo, Shiyu Chang, William Yang Wang
2019 — conf
Multi-Granular Text Encoding for Self-Explaining Categorization.
BlackboxNLP@ACL
Zhiguo Wang, Yue Zhang, Mo Yu, Wei Zhang, Lin Pan, Linfeng Song, Kun Xu, Yousef El-Kurdi
2019 J jnl
Multi-Granular Text Encoding for Self-Explaining Categorization.
CoRR
Zhiguo Wang, Yue Zhang, Mo Yu, Wei Zhang, Lin Pan, Linfeng Song, Kun Xu, Yousef El-Kurdi
2019 — conf
Multi-step Entity-centric Information Retrieval for Multi-Hop Question Answering.
MRQA@EMNLP
Rajarshi Das, Ameya Godbole, Dilip Kavarthapu, Zhiyu Gong, Abhishek Singhal, Mo Yu, Xiaoxiao Guo, Tian Gao, Hamed Zamani, Manzil Zaheer, Andrew McCallum
2019 J jnl
Multi-step Entity-centric Information Retrieval for Multi-Hop Question Answering.
CoRR
Ameya Godbole, Dilip Kavarthapu, Rajarshi Das, Zhiyu Gong, Abhishek Singhal, Hamed Zamani, Mo Yu, Tian Gao, Xiaoxiao Guo, Manzil Zaheer, Andrew McCallum
2019 Misc conf
NE-Table: A Neural key-value table for Named Entities.
RANLP
Janarthanan Rajendran, Jatin Ganhotra, Xiaoxiao Guo, Mo Yu, Satinder Singh, Lazaros Polymenakos
2019 — conf
Out-of-Domain Detection for Low-Resource Text Classification Tasks.
EMNLP/IJCNLP (1)
Ming Tan, Yang Yu, Haoyu Wang, Dakuo Wang, Saloni Potdar, Shiyu Chang, Mo Yu
2019 J jnl
Out-of-Domain Detection for Low-Resource Text Classification Tasks.
CoRR
Ming Tan, Yang Yu, Haoyu Wang, Dakuo Wang, Saloni Potdar, Shiyu Chang, Mo Yu
2019 — conf
Rethinking Cooperative Rationalization: Introspective Extraction and Complement Control.
EMNLP/IJCNLP (1)
Mo Yu, Shiyu Chang, Yang Zhang, Tommi S. Jaakkola
2019 J jnl
Rethinking Cooperative Rationalization: Introspective Extraction and Complement Control.
CoRR
Mo Yu, Shiyu Chang, Yang Zhang, Tommi S. Jaakkola
2019 — conf
Selection Bias Explorations and Debias Methods for Natural Language Sentence Matching Datasets.
ACL (1)
Guanhua Zhang, Bing Bai, Jian Liang, Kun Bai, Shiyu Chang, Mo Yu, Conghui Zhu, Tiejun Zhao
2019 J jnl
Selection Bias Explorations and Debias Methods for Natural Language Sentence Matching Datasets.
CoRR
Guanhua Zhang, Bing Bai, Jian Liang, Kun Bai, Shiyu Chang, Mo Yu, Conghui Zhu, Tiejun Zhao
2019 — conf
Self-Supervised Learning for Contextualized Extractive Summarization.
ACL (1)
Hong Wang, Xin Wang, Wenhan Xiong, Mo Yu, Xiaoxiao Guo, Shiyu Chang, William Yang Wang
2019 J jnl
Self-Supervised Learning for Contextualized Extractive Summarization.
CoRR
Hong Wang, Xin Wang, Wenhan Xiong, Mo Yu, Xiaoxiao Guo, Shiyu Chang, William Yang Wang
2019 — conf
Sentence Embedding Alignment for Lifelong Relation Extraction.
NAACL-HLT (1)
Hong Wang, Wenhan Xiong, Mo Yu, Xiaoxiao Guo, Shiyu Chang, William Yang Wang
2019 J jnl
Sentence Embedding Alignment for Lifelong Relation Extraction.
CoRR
Hong Wang, Wenhan Xiong, Mo Yu, Xiaoxiao Guo, Shiyu Chang, William Yang Wang
2019 — conf
Simple yet Effective Bridge Reasoning for Open-Domain Multi-Hop Question Answering.
MRQA@EMNLP
Wenhan Xiong, Mo Yu, Xiaoxiao Guo, Hong Wang, Shiyu Chang, Murray Campbell, William Yang Wang
2019 J jnl
Simple yet Effective Bridge Reasoning for Open-Domain Multi-Hop Question Answering.
CoRR
Wenhan Xiong, Mo Yu, Xiaoxiao Guo, Hong Wang, Shiyu Chang, Murray Campbell, William Yang Wang
2019 J jnl
Slack Channels Ecology in Enterprises: How Employees Collaborate Through Group Chat.
CoRR
Dakuo Wang, Haoyu Wang, Mo Yu, Zahra Ashktorab, Ming Tan
2019 — conf
TWEETQA: A Social Media Focused Question Answering Dataset.
ACL (1)
Wenhan Xiong, Jiawei Wu, Hong Wang, Vivek Kulkarni, Mo Yu, Shiyu Chang, Xiaoxiao Guo, William Yang Wang
2019 J jnl
TWEETQA: A Social Media Focused Question Answering Dataset.
CoRR
Wenhan Xiong, Jiawei Wu, Hong Wang, Vivek Kulkarni, Mo Yu, Shiyu Chang, Xiaoxiao Guo, William Yang Wang
2019 J jnl
Towards Open-Domain Named Entity Recognition via Neural Correction Models.
CoRR
Mengdi Zhu, Zheye Deng, Wenhan Xiong, Mo Yu, Ming Zhang, William Yang Wang
2018 — conf
A Co-Matching Model for Multi-choice Reading Comprehension.
ACL (2)
Shuohang Wang, Mo Yu, Jing Jiang, Shiyu Chang
2018 J jnl
A Co-Matching Model for Multi-choice Reading Comprehension.
CoRR
Shuohang Wang, Mo Yu, Shiyu Chang, Jing Jiang
2018 — ch.
Community-Based Recommendation for Cold-Start Problem: A Case Study of Reciprocal Online Dating Recommendation.
Social Network Based Big Data Analysis and Applications
Mo Yu, Xiaolong (Luke) Zhang, Dongwon Lee, Derek Kreager
2018 A* conf
Deriving Machine Attention from Human Rationales.
EMNLP
Yujia Bao, Shiyu Chang, Mo Yu, Regina Barzilay
2018 J jnl
Deriving Machine Attention from Human Rationales.
CoRR
Yujia Bao, Shiyu Chang, Mo Yu, Regina Barzilay
2018 — conf
Diverse Few-Shot Text Classification with Multiple Metrics.
NAACL-HLT
Mo Yu, Xiaoxiao Guo, Jinfeng Yi, Shiyu Chang, Saloni Potdar, Yu Cheng, Gerald Tesauro, Haoyu Wang, Bowen Zhou
2018 J jnl
Diverse Few-Shot Text Classification with Multiple Metrics.
CoRR
Mo Yu, Xiaoxiao Guo, Jinfeng Yi, Shiyu Chang, Saloni Potdar, Yu Cheng, Gerald Tesauro, Haoyu Wang, Bowen Zhou
2018 — conf
Evidence Aggregation for Answer Re-Ranking in Open-Domain Question Answering.
ICLR (Poster)
Shuohang Wang, Mo Yu, Jing Jiang, Wei Zhang, Xiaoxiao Guo, Shiyu Chang, Zhiguo Wang, Tim Klinger, Gerald Tesauro, Murray Campbell
2018 A* conf
Exploiting Rich Syntactic Information for Semantic Parsing with Graph-to-Sequence Model.
EMNLP
Kun Xu, Lingfei Wu, Zhiguo Wang, Mo Yu, Liwei Chen, Vadim Sheinin
2018 J jnl
Exploiting Rich Syntactic Information for Semantic Parsing with Graph-to-Sequence Model.
CoRR
Kun Xu, Lingfei Wu, Zhiguo Wang, Mo Yu, Liwei Chen, Vadim Sheinin
2018 J jnl
Exploring Graph-structured Passage Representation for Multi-hop Reading Comprehension with Graph Neural Networks.
CoRR
Linfeng Song, Zhiguo Wang, Mo Yu, Yue Zhang, Radu Florian, Daniel Gildea
2018 A* conf
Image Super-Resolution via Dual-State Recurrent Networks.
CVPR
Wei Han, Shiyu Chang, Ding Liu, Mo Yu, Michael Witbrock, Thomas S. Huang
2018 J jnl
Image Super-Resolution via Dual-State Recurrent Networks.
CoRR
Wei Han, Shiyu Chang, Ding Liu, Mo Yu, Michael Witbrock, Thomas S. Huang
2018 J jnl
Improving Natural Language Inference Using External Knowledge in the Science Questions Domain.
CoRR
Xiaoyan Wang, Pavan Kapanipathi, Ryan Musa, Mo Yu, Kartik Talamadupula, Ibrahim Abdelaziz, Maria Chang, Achille Fokoue, Bassem Makni, Nicholas Mattei, Michael Witbrock
2018 A* conf
Improving Reinforcement Learning Based Image Captioning with Natural Language Prior.
EMNLP
Tszhang Guo, Shiyu Chang, Mo Yu, Kun Bai
2018 J jnl
Improving Reinforcement Learning Based Image Captioning with Natural Language Prior.
CoRR
Tszhang Guo, Shiyu Chang, Mo Yu, Kun Bai
2018 — conf
Knowledge Base Relation Detection via Multi-View Matching.
ADBIS (Short Papers and Workshops)
Yang Yu, Kazi Saidul Hasan, Mo Yu, Wei Zhang, Zhiguo Wang
2018 J jnl
Knowledge Base Relation Detection via Multi-View Matching.
CoRR
Yang Yu, Kazi Saidul Hasan, Mo Yu, Wei Zhang, Zhiguo Wang
2018 J jnl
Named Entities troubling your Neural Methods? Build NE-Table: A neural approach for handling Named Entities.
CoRR
Janarthanan Rajendran, Jatin Ganhotra, Xiaoxiao Guo, Mo Yu, Satinder Singh
2018 A* conf
One-Shot Relational Learning for Knowledge Graphs.
EMNLP
Wenhan Xiong, Mo Yu, Shiyu Chang, Xiaoxiao Guo, William Yang Wang
2018 J jnl
One-Shot Relational Learning for Knowledge Graphs.
CoRR
Wenhan Xiong, Mo Yu, Shiyu Chang, Xiaoxiao Guo, William Yang Wang
2018 A* conf
R
AAAI
Shuohang Wang, Mo Yu, Xiaoxiao Guo, Zhiguo Wang, Tim Klinger, Wei Zhang, Shiyu Chang, Gerry Tesauro, Bowen Zhou, Jing Jiang
2018 J jnl
SQL-to-Text Generation with Graph-to-Sequence Model.
CoRR
Kun Xu, Lingfei Wu, Zhiguo Wang, Mo Yu, Liwei Chen, Vadim Sheinin
2018 A* conf
Scheduled Policy Optimization for Natural Language Communication with Intelligent Agents.
IJCAI
Wenhan Xiong, Xiaoxiao Guo, Mo Yu, Shiyu Chang, Bowen Zhou, William Yang Wang
2018 J jnl
Scheduled Policy Optimization for Natural Language Communication with Intelligent Agents.
CoRR
Wenhan Xiong, Xiaoxiao Guo, Mo Yu, Shiyu Chang, Bowen Zhou, William Yang Wang
2018 J jnl
Spatial-Temporal Synergic Residual Learning for Video Person Re-Identification.
CoRR
Xinxing Su, Yingtian Zou, Yu Cheng, Shuangjie Xu, Mo Yu, Pan Zhou
2017 — conf
A Structured Self-Attentive Sentence Embedding.
ICLR (Poster)
Zhouhan Lin, Minwei Feng, Cícero Nogueira dos Santos, Mo Yu, Bing Xiang, Bowen Zhou, Yoshua Bengio
2017 J jnl
A Structured Self-attentive Sentence Embedding.
CoRR
Zhouhan Lin, Minwei Feng, Cícero Nogueira dos Santos, Mo Yu, Bing Xiang, Bowen Zhou, Yoshua Bengio
2017 J jnl
Comparative Study of CNN and RNN for Natural Language Processing.
CoRR
Wenpeng Yin, Katharina Kann, Mo Yu, Hinrich Schütze
2017 — conf
Dilated Recurrent Neural Networks.
NIPS
Shiyu Chang, Yang Zhang, Wei Han, Mo Yu, Xiaoxiao Guo, Wei Tan, Xiaodong Cui, Michael Witbrock, Mark A. Hasegawa-Johnson, Thomas S. Huang
2017 J jnl
Dilated Recurrent Neural Networks.
CoRR
Shiyu Chang, Yang Zhang, Wei Han, Mo Yu, Xiaoxiao Guo, Wei Tan, Xiaodong Cui, Michael Witbrock, Mark Hasegawa-Johnson, Thomas S. Huang
2017 J jnl
Evidence Aggregation for Answer Re-Ranking in Open-Domain Question Answering.
CoRR
Shuohang Wang, Mo Yu, Jing Jiang, Wei Zhang, Xiaoxiao Guo, Shiyu Chang, Zhiguo Wang, Tim Klinger, Gerald Tesauro, Murray Campbell
2017 — conf
Improved Neural Relation Detection for Knowledge Base Question Answering.
ACL (1)
Mo Yu, Wenpeng Yin, Kazi Saidul Hasan, Cícero Nogueira dos Santos, Bing Xiang, Bowen Zhou
2017 J jnl
Improved Neural Relation Detection for Knowledge Base Question Answering.
CoRR
Mo Yu, Wenpeng Yin, Kazi Saidul Hasan, Cícero Nogueira dos Santos, Bing Xiang, Bowen Zhou
2017 J jnl
R
CoRR
Shuohang Wang, Mo Yu, Xiaoxiao Guo, Zhiguo Wang, Tim Klinger, Wei Zhang, Shiyu Chang, Gerald Tesauro, Bowen Zhou, Jing Jiang
2017 J jnl
Robust Task Clustering for Deep Many-Task Learning.
CoRR
Mo Yu, Xiaoxiao Guo, Jinfeng Yi, Shiyu Chang, Saloni Potdar, Gerald Tesauro, Haoyu Wang, Bowen Zhou
2016 — conf
Embedding Lexical Features via Low-Rank Tensors.
HLT-NAACL
Mo Yu, Mark Dredze, Raman Arora, Matthew R. Gormley
2016 J jnl
Embedding Lexical Features via Low-Rank Tensors.
CoRR
Mo Yu, Mark Dredze, Raman Arora, Matthew Gormley
2016 J jnl
End-to-End Reading Comprehension with Dynamic Answer Chunk Ranking.
CoRR
Yang Yu, Wei Zhang, Kazi Saidul Hasan, Mo Yu, Bing Xiang, Bowen Zhou
2016 J jnl
Leveraging Sentence-level Information with Encoder LSTM for Natural Language Understanding.
CoRR
Gakuto Kurata, Bing Xiang, Bowen Zhou, Mo Yu
2016 A* conf
Leveraging Sentence-level Information with Encoder LSTM for Semantic Slot Filling.
EMNLP
Gakuto Kurata, Bing Xiang, Bowen Zhou, Mo Yu
2016 B conf
New to online dating? Learning from experienced users for a successful match.
ASONAM
Mo Yu, Xiaolong Zhang, Derek Kreager
2016 B conf
Simple Question Answering by Attentive Convolutional Neural Network.
COLING
Wenpeng Yin, Mo Yu, Bing Xiang, Bowen Zhou, Hinrich Schütze
2016 J jnl
Simple Question Answering by Attentive Convolutional Neural Network.
CoRR
Wenpeng Yin, Mo Yu, Bing Xiang, Bowen Zhou, Hinrich Schütze
2015 — conf
A Concrete Chinese NLP Pipeline.
HLT-NAACL
Nanyun Peng, Francis Ferraro, Mo Yu, Nicholas Andrews, Jay DeYoung, Max Thomas, Matthew R. Gormley, Travis Wolfe, Craig Harman, Benjamin Van Durme, Mark Dredze
2015 — conf
An Empirical Study of Chinese Name Matching and Applications.
ACL (2)
Nanyun Peng, Mo Yu, Mark Dredze
2015 — conf
Combining Word Embeddings and Feature Embeddings for Fine-grained Relation Extraction.
HLT-NAACL
Mo Yu, Matthew R. Gormley, Mark Dredze
2015 A* conf
Improved Relation Extraction with Feature-Rich Compositional Embedding Models.
EMNLP
Matthew R. Gormley, Mo Yu, Mark Dredze
2015 J jnl
Improved Relation Extraction with Feature-rich Compositional Embedding Models.
CoRR
Matthew R. Gormley, Mo Yu, Mark Dredze
2015 J jnl
Learning Composition Models for Phrase Embeddings.
Trans. Assoc. Comput. Linguistics
Mo Yu, Mark Dredze
2014 — conf
Accelerated Mini-batch Randomized Block Coordinate Descent Method.
NIPS
Tuo Zhao, Mo Yu, Yiming Wang, Raman Arora, Han Liu
2014 — conf
Improving Lexical Embeddings with Semantic Knowledge.
ACL (2)
Mo Yu, Mark Dredze
2014 J jnl
User Recommendations in Reciprocal and Bipartite Social Networks-An Online Dating Case Study.
IEEE Intell. Syst.
Kang Zhao, Xi Wang, Mo Yu, Bo Gao
2014 B conf
Who were you talking to - Mining interpersonal relationships from cellphone network data.
ASONAM
Mo Yu, Wenjun Si, Guojie Song, Zhenhui Li, John Yen
2013 — conf
Compound Embedding Features for Semi-supervised Learning.
HLT-NAACL
Mo Yu, Tiejun Zhao, Daxiang Dong, Hao Tian, Dianhai Yu
2013 — conf
Cross-lingual Projections between Languages from Different Families.
ACL (2)
Mo Yu, Tiejun Zhao, Yalong Bai, Hao Tian, Dianhai Yu
2013 A* conf
Learning Domain Differences Automatically for Dependency Parsing Adaptation.
IJCAI
Mo Yu, Tiejun Zhao, Yalong Bai
2013 — conf
Recommendation in Reciprocal and Bipartite Social Networks-A Case Study of Online Dating.
SBP
Mo Yu, Kang Zhao, John Yen, Derek Kreager
2013 J jnl
User recommendation in reciprocal and bipartite social networks - a case study of online dating.
CoRR
Kang Zhao, Xi Wang, Mo Yu, Bo Gao
2012 — conf
Locally Training the Log-Linear Model for SMT.
EMNLP-CoNLL
Lemao Liu, Hailong Cao, Taro Watanabe, Tiejun Zhao, Mo Yu, Conghui Zhu
2011 — conf
Semi-supervised Learning Framework for Cross-Lingual Projection.
Web Intelligence/IAT Workshops
PengLong Hu, Mo Yu, Jing Li, Conghui Zhu, Tiejun Zhao
2011 — conf
Semi-supervised learning for word sense disambiguation using parallel corpora.
FSKD
Mo Yu, Shu Wang, Conghui Zhu, Tiejun Zhao
2011 A* conf
Target-dependent Twitter Sentiment Classification.
ACL
Long Jiang, Mo Yu, Ming Zhou, Xiaohua Liu, Tiejun Zhao
2010 A* conf
Diversifying landmark image search results by learning interested views from community photos.
WWW
Yuheng Ren, Mo Yu, Xin-Jing Wang, Lei Zhang, Wei-Ying Ma
2010 — conf
Event Entailment Extraction Based on EM Iteration.
IALP
Zhen Li, Hanjing Li, Mo Yu, Tiejun Zhao, Sheng Li
2009 A conf
Advertising based on users' photos.
ICME
Xin-Jing Wang, Mo Yu, Lei Zhang, Wei-Ying Ma
2009 — conf
Argo: intelligent advertising by mining a user's interest from his photo collections.
KDD Workshop on Data Mining and Audience Intelligence for Advertising
Xin-Jing Wang, Mo Yu, Lei Zhang, Rui Cai, Wei-Ying Ma
2009 A* conf
Argo: intelligent advertising made possible from users' photos.
ACM Multimedia
Xin-Jing Wang, Mo Yu, Lei Zhang, Wei-Ying Ma