Yu, Mo

21 publications

TMLR 2025 A Survey on the Honesty of Large Language Models 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

AAAI 2025 Coherency Improved Explainable Recommendation via Large Language Model Shijie Liu, Ruixin Ding, Weihai Lu, Jun Wang, Mo Yu, Xiaoming Shi, Wei Zhang

ICML 2024 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

ICML 2023 Towards Coherent Image Inpainting Using Denoising Diffusion Implicit Models Guanhua Zhang, Jiabao Ji, Yang Zhang, Mo Yu, Tommi Jaakkola, Shiyu Chang

IJCAI 2022 A Survey of Machine Narrative Reading Comprehension Assessments Yisi Sang, Xiangyang Mou, Jing Li, Jeffrey M. Stanton, Mo Yu

ICLR 2022 Linking Emergent and Natural Languages via Corpus Transfer Shunyu Yao, Mo Yu, Yang Zhang, Karthik R Narasimhan, Joshua B. Tenenbaum, Chuang Gan

ICCV 2021 Interpretable Visual Reasoning via Induced Symbolic Space Zhonghao Wang, Kai Wang, Mo Yu, Jinjun Xiong, Wen-mei Hwu, Mark Hasegawa-Johnson, Humphrey Shi

NeurIPS 2021 Understanding Interlocking Dynamics of Cooperative Rationalization Mo Yu, Yang Zhang, Shiyu Chang, Tommi Jaakkola

AAAI 2020 Generalizable Resource Allocation in Stream Processing via Deep Reinforcement Learning Xiang Ni, Jing Li, Mo Yu, Wang Zhou, Kun-Lung Wu

ICML 2020 Invariant Rationalization Shiyu Chang, Yang Zhang, Mo Yu, Tommi Jaakkola

NeurIPS 2019 A Game Theoretic Approach to Class-Wise Selective Rationalization Shiyu Chang, Yang Zhang, Mo Yu, Tommi Jaakkola

ICML 2019 DAG-GNN: DAG Structure Learning with Graph Neural Networks Yue Yu, Jie Chen, Tian Gao, Mo Yu

AAAI 2019 Hybrid Reinforcement Learning with Expert State Sequences Xiaoxiao Guo, Shiyu Chang, Mo Yu, Gerald Tesauro, Murray Campbell

AAAI 2019 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

ICLR 2018 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

AAAI 2018 R3: Reinforced Ranker-Reader for Open-Domain Question Answering Shuohang Wang, Mo Yu, Xiaoxiao Guo, Zhiguo Wang, Tim Klinger, Wei Zhang, Shiyu Chang, Gerry Tesauro, Bowen Zhou, Jing Jiang

IJCAI 2018 Scheduled Policy Optimization for Natural Language Communication with Intelligent Agents Wenhan Xiong, Xiaoxiao Guo, Mo Yu, Shiyu Chang, Bowen Zhou, William Yang Wang

ICLR 2017 A Structured Self-Attentive Sentence Embedding Zhouhan Lin, Minwei Feng, Cícero Nogueira dos Santos, Mo Yu, Bing Xiang, Bowen Zhou, Yoshua Bengio

NeurIPS 2017 Dilated Recurrent Neural Networks Shiyu Chang, Yang Zhang, Wei Han, Mo Yu, Xiaoxiao Guo, Wei Tan, Xiaodong Cui, Michael Witbrock, Mark A Hasegawa-Johnson, Thomas S. Huang

NeurIPS 2014 Accelerated Mini-Batch Randomized Block Coordinate Descent Method Tuo Zhao, Mo Yu, Yiming Wang, Raman Arora, Han Liu

IJCAI 2013 Learning Domain Differences Automatically for Dependency Parsing Adaptation Mo Yu, Tiejun Zhao, Yalong Bai