Mo Yu
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
92
Venues
17
Active years
2009–2026
Best venue rank
A*
Where they publish
Papers
92 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2026 | AAAI | ComoRAG: A Cognitive-Inspired Memory-Organized RAG for Stateful Long Narrative Reasoning. | Juyuan Wang, Rongchen Zhao, Wei Wei, Yufeng Wang, Mo Yu, Jie Zhou, Jin Xu, Liyan Xu |
| 2026 | ACL | ReFreeKV: Towards Threshold-Free KV Cache Compression. | Xuanfan Ni, Liyan Xu, Chenyang Lyu, Longyue Wang, Mo Yu, Lemao Liu, Fandong Meng, Jie Zhou, Piji Li |
| 2026 | ACL | Situated Embedding Models for Context-Aware Dense Retrieval. | Junjie Wu, Jiangnan Li, Yuqing Li, Lemao Liu, Liyan Xu, Jiwei Li, Dit-Yan Yeung, Jie Zhou, Mo Yu |
| 2025 | AAAI | Coherency Improved Explainable Recommendation via Large Language Model. | Shijie Liu, Ruixin Ding, Weihai Lu, Jun Wang, Mo Yu, Xiaoming Shi, Wei Zhang |
| 2025 | ACL | The Essence of Contextual Understanding in Theory of Mind: A Study on Question Answering with Story Characters. | Chulun Zhou, Qiujing Wang, Mo Yu, Xiaoqian Yue, Rui Lu, Jiangnan Li, Yifan Zhou, Shunchi Zhang, Jie Zhou, Wai Lam |
| 2025 | EMNLP | DivLogicEval: A Framework for Benchmarking Logical Reasoning Evaluation in Large Language Models. | Tsz Ting Chung, Lemao Liu, Mo Yu, Dit-Yan Yeung |
| 2025 | EMNLP | Dense Retrievers Can Fail on Simple Queries: Revealing The Granularity Dilemma of Embeddings. | Liyan Xu, Zhenlin Su, Mo Yu, Jiangnan Li, Fandong Meng, Jie Zhou |
| 2025 | NAACL | Understanding LLMs' Fluid Intelligence Deficiency: An Analysis of the ARC Task. | Junjie Wu, Mo Yu, Lemao Liu, Dit-Yan Yeung, Jie Zhou |
| 2025 | NAACL | The Stochastic Parrot on LLM's Shoulder: A Summative Assessment of Physical Concept Understanding. | Mo Yu, Lemao Liu, Junjie Wu, Tsz Ting Chung, Shunchi Zhang, Jiangnan Li, Dit-Yan Yeung, Jie Zhou |
| 2024 | ACL | Fine-Grained Modeling of Narrative Context: A Coherence Perspective via Retrospective Questions. | Liyan Xu, Jiangnan Li, Mo Yu, Jie Zhou |
| 2024 | ACL | Plot Retrieval as an Assessment of Abstract Semantic Association. | Shicheng Xu, Liang Pang, Jiangnan Li, Mo Yu, Fandong Meng, Huawei Shen, Xueqi Cheng, Jie Zhou |
| 2024 | ACL | Unsupervised Information Refinement Training of Large Language Models for Retrieval-Augmented Generation. | Shicheng Xu, Liang Pang, Mo Yu, Fandong Meng, Huawei Shen, Xueqi Cheng, Jie Zhou |
| 2024 | EMNLP | On the token distance modeling ability of higher RoPE attention dimension. | Xiangyu Hong, Che Jiang, Biqing Qi, Fandong Meng, Mo Yu, Bowen Zhou, Jie Zhou |
| 2024 | EMNLP | Identifying Factual Inconsistencies in Summaries: Grounding LLM Inference via Task Taxonomy. | Liyan Xu, Zhenlin Su, Mo Yu, Jin Xu, Jinho D. Choi, Jie Zhou, Fei Liu |
| 2024 | EMNLP | Rethinking the Evaluation of In-Context Learning for LLMs. | Guoxin Yu, Lemao Liu, Mo Yu, Yue Yu, Xiang Ao |
| 2024 | ICML | Few-Shot Character Understanding in Movies as an Assessment to Meta-Learning of Theory-of-Mind. | Mo Yu, Qiujing Wang, Shunchi Zhang, Yisi Sang, Kangsheng Pu, Zekai Wei, Han Wang, Liyan Xu, Jing Li, Yue Yu, Jie Zhou |
| 2024 | NAACL | On Large Language Models' Hallucination with Regard to Known Facts. | Che Jiang, Biqing Qi, Xiangyu Hong, Dayuan Fu, Yang Cheng, Fandong Meng, Mo Yu, Bowen Zhou, Jie Zhou |
| 2023 | ACL | Question-Interlocutor Scope Realized Graph Modeling over Key Utterances for Dialogue Reading Comprehension. | Jiangnan Li, Mo Yu, Fandong Meng, Zheng Lin, Peng Fu, Weiping Wang, Jie Zhou |
| 2023 | ACL | The Art of Prompting: Event Detection based on Type Specific Prompts. | Sijia Wang, Mo Yu, Lifu Huang |
| 2023 | ACL | JECC: Commonsense Reasoning Tasks Derived from Interactive Fictions. | Mo Yu, Yi Gu, Xiaoxiao Guo, Yufei Feng, Xiaodan Zhu, Michael A. Greenspan, Murray Campbell, Chuang Gan |
| 2023 | ACL | Personality Understanding of Fictional Characters during Book Reading. | Mo Yu, Jiangnan Li, Shunyu Yao, Wenjie Pang, Xiaochen Zhou, Xiao Zhou, Fandong Meng, Jie Zhou |
| 2023 | EMNLP | Explicit Planning Helps Language Models in Logical Reasoning. | Hongyu Zhao, Kangrui Wang, Mo Yu, Hongyuan Mei |
| 2023 | ICML | Towards Coherent Image Inpainting Using Denoising Diffusion Implicit Models. | Guanhua Zhang, Jiabao Ji, Yang Zhang, Mo Yu, Tommi S. Jaakkola, Shiyu Chang |
| 2022 | ACL | Query and Extract: Refining Event Extraction as Type-oriented Binary Decoding. | Sijia Wang, Mo Yu, Shiyu Chang, Lichao Sun, Lifu Huang |
| 2022 | ACL | Fantastic Questions and Where to Find Them: FairytaleQA - An Authentic Dataset for Narrative Comprehension. | 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 | ACL | It is AI's Turn to Ask Humans a Question: Question-Answer Pair Generation for Children's Story Books. | Bingsheng Yao, Dakuo Wang, Tongshuang Wu, Zheng Zhang, Toby Jia-Jun Li, Mo Yu, Ying Xu |
| 2022 | ACL | Educational Question Generation of Children Storybooks via Question Type Distribution Learning and Event-centric Summarization. | Zhenjie Zhao, Yufang Hou, Dakuo Wang, Mo Yu, Chengzhong Liu, Xiaojuan Ma |
| 2022 | CHI | StoryBuddy: A Human-AI Collaborative Chatbot for Parent-Child Interactive Storytelling with Flexible Parental Involvement. | Zheng Zhang, Ying Xu, Yanhao Wang, Bingsheng Yao, Daniel Ritchie, Tongshuang Wu, Mo Yu, Dakuo Wang, Toby Jia-Jun Li |
| 2022 | EMNLP | Revisiting the Roles of "Text" in Text Games. | Yi Gu, Shunyu Yao, Chuang Gan, Josh Tenenbaum, Mo Yu |
| 2022 | EMNLP | MBTI Personality Prediction for Fictional Characters Using Movie Scripts. | Yisi Sang, Xiangyang Mou, Mo Yu, Dakuo Wang, Jing Li, Jeffrey M. Stanton |
| 2022 | ICLR | Linking Emergent and Natural Languages via Corpus Transfer. | Shunyu Yao, Mo Yu, Yang Zhang, Karthik R. Narasimhan, Joshua B. Tenenbaum, Chuang Gan |
| 2022 | IJCAI | A Survey of Machine Narrative Reading Comprehension Assessments. | Yisi Sang, Xiangyang Mou, Jing Li, Jeffrey M. Stanton, Mo Yu |
| 2022 | NAACL | Learning as Conversation: Dialogue Systems Reinforced for Information Acquisition. | Pengshan Cai, Hui Wan, Fei Liu, Mo Yu, Hong Yu, Sachindra Joshi |
| 2022 | NAACL | On the Origin of Hallucinations in Conversational Models: Is it the Datasets or the Models? | Nouha Dziri, Sivan Milton, Mo Yu, Osmar R. Zaane, Siva Reddy |
| 2022 | NAACL | TVShowGuess: Character Comprehension in Stories as Speaker Guessing. | Yisi Sang, Xiangyang Mou, Mo Yu, Shunyu Yao, Jing Li, Jeffrey M. Stanton |
| 2021 | ACL | Leveraging Abstract Meaning Representation for Knowledge Base Question Answering. | Pavan Kapanipathi, Ibrahim Abdelaziz, Srinivas Ravishankar, Salim Roukos, Alexander G. Gray, Ramn 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 | AI | 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. | Yufei Feng, Mo Yu, Wenhan Xiong, Xiaoxiao Guo, Junjie Huang, Shiyu Chang, Murray Campbell, Michael A. Greenspan, Xiaodan Zhu |
| 2021 | EACL | Complementary Evidence Identification in Open-Domain Question Answering. | Xiangyang Mou, Mo Yu, Shiyu Chang, Yufei Feng, Li Zhang, Hui Su |
| 2021 | EMNLP | Timeline Summarization based on Event Graph Compression via Time-Aware Optimal Transport. | Manling Li, Tengfei Ma, Mo Yu, Lingfei Wu, Tian Gao, Heng Ji, Kathleen R. McKeown |
| 2021 | ICCV | Interpretable Visual Reasoning via Induced Symbolic Space. | Zhonghao Wang, Kai Wang, Mo Yu, Jinjun Xiong, Wen-Mei Hwu, Mark Hasegawa-Johnson, Humphrey Shi |
| 2021 | NAACL | Multilingual BERT Post-Pretraining Alignment. | Lin Pan, Chung-Wei Hang, Haode Qi, Abhishek Shah, Saloni Potdar, Mo Yu |
| 2021 | NAACL | Benchmarking Commercial Intent Detection Services with Practice-Driven Evaluations. | Haode Qi, Lin Pan, Atin Sood, Abhishek Shah, Ladislav Kunc, Mo Yu, Saloni Potdar |
| 2020 | AAAI | Generalizable Resource Allocation in Stream Processing via Deep Reinforcement Learning. | Xiang Ni, Jing Li, Mo Yu, Wang Zhou, Kun-Lung Wu |
| 2020 | ACL | Frustratingly Hard Evidence Retrieval for QA Over Books. | Xiangyang Mou, Mo Yu, Bingsheng Yao, Chenghao Yang, Xiaoxiao Guo, Saloni Potdar, Hui Su |
| 2020 | CVPR | Differential Treatment for Stuff and Things: A Simple Unsupervised Domain Adaptation Method for Semantic Segmentation. | Zhonghao Wang, Mo Yu, Yunchao Wei, Rogrio Feris, Jinjun Xiong, Wen-Mei Hwu, Thomas S. Huang, Honghui Shi |
| 2020 | EMNLP | Interactive Fiction Game Playing as Multi-Paragraph Reading Comprehension with Reinforcement Learning. | Xiaoxiao Guo, Mo Yu, Yupeng Gao, Chuang Gan, Murray Campbell, Shiyu Chang |
| 2020 | EMNLP | MCMH: Learning Multi-Chain Multi-Hop Rules for Knowledge Graph Reasoning. | Lu Zhang, Mo Yu, Tian Gao, Yue Yu |
| 2020 | ICML | Invariant Rationalization. | Shiyu Chang, Yang Zhang, Mo Yu, Tommi S. Jaakkola |
| 2019 | AAAI | Hybrid Reinforcement Learning with Expert State Sequences. | Xiaoxiao Guo, Shiyu Chang, Mo Yu, Gerald Tesauro, Murray Campbell |
| 2019 | AAAI | Improving Natural Language Inference Using External Knowledge in the Science Questions Domain. | Xiaoyan Wang, Pavan Kapanipathi, Ryan Musa, Mo Yu, Kartik Talamadupula, Ibrahim Abdelaziz, Maria Chang, Achille Fokoue, Bassem Makni, Nicholas Mattei, Michael Witbrock |
| 2019 | ACL | Extracting Multiple-Relations in One-Pass with Pre-Trained Transformers. | Haoyu Wang, Ming Tan, Mo Yu, Shiyu Chang, Dakuo Wang, Kun Xu, Xiaoxiao Guo, Saloni Potdar |
| 2019 | ACL | Self-Supervised Learning for Contextualized Extractive Summarization. | Hong Wang, Xin Wang, Wenhan Xiong, Mo Yu, Xiaoxiao Guo, Shiyu Chang, William Yang Wang |
| 2019 | ACL | TWEETQA: A Social Media Focused Question Answering Dataset. | Wenhan Xiong, Jiawei Wu, Hong Wang, Vivek Kulkarni, Mo Yu, Shiyu Chang, Xiaoxiao Guo, William Yang Wang |
| 2019 | ACL | Improving Question Answering over Incomplete KBs with Knowledge-Aware Reader. | Wenhan Xiong, Mo Yu, Shiyu Chang, Xiaoxiao Guo, William Yang Wang |
| 2019 | ACL | Cross-lingual Knowledge Graph Alignment via Graph Matching Neural Network. | Kun Xu, Liwei Wang, Mo Yu, Yansong Feng, Yan Song, Zhiguo Wang, Dong Yu |
| 2019 | ACL | Selection Bias Explorations and Debias Methods for Natural Language Sentence Matching Datasets. | Guanhua Zhang, Bing Bai, Jian Liang, Kun Bai, Shiyu Chang, Mo Yu, Conghui Zhu, Tiejun Zhao |
| 2019 | EMNLP | Leveraging Dependency Forest for Neural Medical Relation Extraction. | Linfeng Song, Yue Zhang, Daniel Gildea, Mo Yu, Zhiguo Wang, Jinsong Su |
| 2019 | EMNLP | Context-Aware Conversation Thread Detection in Multi-Party Chat. | Ming Tan, Dakuo Wang, Yupeng Gao, Haoyu Wang, Saloni Potdar, Xiaoxiao Guo, Shiyu Chang, Mo Yu |
| 2019 | EMNLP | Out-of-Domain Detection for Low-Resource Text Classification Tasks. | Ming Tan, Yang Yu, Haoyu Wang, Dakuo Wang, Saloni Potdar, Shiyu Chang, Mo Yu |
| 2019 | EMNLP | Rethinking Cooperative Rationalization: Introspective Extraction and Complement Control. | Mo Yu, Shiyu Chang, Yang Zhang, Tommi S. Jaakkola |
| 2019 | ICML | DAG-GNN: DAG Structure Learning with Graph Neural Networks. | Yue Yu, Jie Chen, Tian Gao, Mo Yu |
| 2019 | NAACL | Sentence Embedding Alignment for Lifelong Relation Extraction. | Hong Wang, Wenhan Xiong, Mo Yu, Xiaoxiao Guo, Shiyu Chang, William Yang Wang |
| 2019 | NAACL | Imposing Label-Relational Inductive Bias for Extremely Fine-Grained Entity Typing. | Wenhan Xiong, Jiawei Wu, Deren Lei, Mo Yu, Shiyu Chang, Xiaoxiao Guo, William Yang Wang |
| 2019 | RANLP | NE-Table: A Neural key-value table for Named Entities. | Janarthanan Rajendran, Jatin Ganhotra, Xiaoxiao Guo, Mo Yu, Satinder Singh, Lazaros Polymenakos |
| 2018 | AAAI | R | Shuohang Wang, Mo Yu, Xiaoxiao Guo, Zhiguo Wang, Tim Klinger, Wei Zhang, Shiyu Chang, Gerry Tesauro, Bowen Zhou, Jing Jiang |
| 2018 | ACL | A Co-Matching Model for Multi-choice Reading Comprehension. | Shuohang Wang, Mo Yu, Jing Jiang, Shiyu Chang |
| 2018 | ADBIS | Knowledge Base Relation Detection via Multi-View Matching. | Yang Yu, Kazi Saidul Hasan, Mo Yu, Wei Zhang, Zhiguo Wang |
| 2018 | CVPR | Image Super-Resolution via Dual-State Recurrent Networks. | Wei Han, Shiyu Chang, Ding Liu, Mo Yu, Michael Witbrock, Thomas S. Huang |
| 2018 | EMNLP | Deriving Machine Attention from Human Rationales. | Yujia Bao, Shiyu Chang, Mo Yu, Regina Barzilay |
| 2018 | EMNLP | Improving Reinforcement Learning Based Image Captioning with Natural Language Prior. | Tszhang Guo, Shiyu Chang, Mo Yu, Kun Bai |
| 2018 | EMNLP | One-Shot Relational Learning for Knowledge Graphs. | Wenhan Xiong, Mo Yu, Shiyu Chang, Xiaoxiao Guo, William Yang Wang |
| 2018 | EMNLP | Exploiting Rich Syntactic Information for Semantic Parsing with Graph-to-Sequence Model. | Kun Xu, Lingfei Wu, Zhiguo Wang, Mo Yu, Liwei Chen, Vadim Sheinin |
| 2018 | ICLR | Evidence Aggregation for Answer Re-Ranking in Open-Domain Question Answering. | Shuohang Wang, Mo Yu, Jing Jiang, Wei Zhang, Xiaoxiao Guo, Shiyu Chang, Zhiguo Wang, Tim Klinger, Gerald Tesauro, Murray Campbell |
| 2018 | IJCAI | Scheduled Policy Optimization for Natural Language Communication with Intelligent Agents. | Wenhan Xiong, Xiaoxiao Guo, Mo Yu, Shiyu Chang, Bowen Zhou, William Yang Wang |
| 2018 | NAACL | Diverse Few-Shot Text Classification with Multiple Metrics. | Mo Yu, Xiaoxiao Guo, Jinfeng Yi, Shiyu Chang, Saloni Potdar, Yu Cheng, Gerald Tesauro, Haoyu Wang, Bowen Zhou |
| 2017 | ACL | Improved Neural Relation Detection for Knowledge Base Question Answering. | Mo Yu, Wenpeng Yin, Kazi Saidul Hasan, Ccero Nogueira dos Santos, Bing Xiang, Bowen Zhou |
| 2017 | ICLR | A Structured Self-Attentive Sentence Embedding. | Zhouhan Lin, Minwei Feng, Ccero Nogueira dos Santos, Mo Yu, Bing Xiang, Bowen Zhou, Yoshua Bengio |
| 2016 | COLING | Simple Question Answering by Attentive Convolutional Neural Network. | Wenpeng Yin, Mo Yu, Bing Xiang, Bowen Zhou, Hinrich Schtze |
| 2016 | EMNLP | Leveraging Sentence-level Information with Encoder LSTM for Semantic Slot Filling. | Gakuto Kurata, Bing Xiang, Bowen Zhou, Mo Yu |
| 2016 | NAACL | Embedding Lexical Features via Low-Rank Tensors. | Mo Yu, Mark Dredze, Raman Arora, Matthew R. Gormley |
| 2015 | ACL | An Empirical Study of Chinese Name Matching and Applications. | Nanyun Peng, Mo Yu, Mark Dredze |
| 2015 | EMNLP | Improved Relation Extraction with Feature-Rich Compositional Embedding Models. | Matthew R. Gormley, Mo Yu, Mark Dredze |
| 2015 | NAACL | A Concrete Chinese NLP Pipeline. | 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 | NAACL | Combining Word Embeddings and Feature Embeddings for Fine-grained Relation Extraction. | Mo Yu, Matthew R. Gormley, Mark Dredze |
| 2014 | ACL | Improving Lexical Embeddings with Semantic Knowledge. | Mo Yu, Mark Dredze |
| 2013 | ACL | Cross-lingual Projections between Languages from Different Families. | Mo Yu, Tiejun Zhao, Yalong Bai, Hao Tian, Dianhai Yu |
| 2013 | IJCAI | Learning Domain Differences Automatically for Dependency Parsing Adaptation. | Mo Yu, Tiejun Zhao, Yalong Bai |
| 2013 | NAACL | Compound Embedding Features for Semi-supervised Learning. | Mo Yu, Tiejun Zhao, Daxiang Dong, Hao Tian, Dianhai Yu |
| 2012 | EMNLP | Locally Training the Log-Linear Model for SMT. | Lemao Liu, Hailong Cao, Taro Watanabe, Tiejun Zhao, Mo Yu, Conghui Zhu |
| 2011 | ACL | Target-dependent Twitter Sentiment Classification. | Long Jiang, Mo Yu, Ming Zhou, Xiaohua Liu, Tiejun Zhao |
| 2010 | WWW | Diversifying landmark image search results by learning interested views from community photos. | Yuheng Ren, Mo Yu, Xin-Jing Wang, Lei Zhang, Wei-Ying Ma |
| 2009 | KDD | Argo: intelligent advertising by mining a user's interest from his photo collections. | Xin-Jing Wang, Mo Yu, Lei Zhang, Rui Cai, Wei-Ying Ma |