publications

Full Publication List

* indicates authors with equal contribution. § indicates corresponding author. ‡ indicates the students I co-advised.

Important Pre-Prints

• A. Godbole, D. Kavarthapu, R. Das, Z. Gong, A. Singhal, H. Zamani, M. Yu, T. Gao, X. Guo, M. Zaheer, A. McCallum. Multi-step Entity-centric Information Retrieval for Multi-Hop Question Answering. (EMNLP 2019 MRQA Workshop Best paper).

• Z. Wang, Y. Zhang, M. Yu, W. Zhang, L. Pan, L. Song, K. Xu, Y. El-Kurdi and R. Florian. Multi-Granular Text Encoding for Self-Explaining Categorization. (ACL 2019 BlackboxNLP Workshop). 

• W. Yin, K. Kann, M. Yu, H. Schütze. Comparative study of cnn and rnn for natural language processing. ArXiv 2017. 

• Y. Yu, W. Zhang, K. Hasan, M. Yu, B. Xiang, B. Zhou. End-to-end answer chunk extraction and ranking for reading comprehension. ArXiv 2016. 

2024

• [ICML] 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.

• [NAACL] 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.

• [TACL] 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.

2023

• [EMNLP] Hongyu Zhao, Kangrui Wang, Mo Yu, Hongyuan Mei. Explicit Planning Helps Language Models in Logical Reasoning. [PDF] 

• [ACL] Mo Yu*,  Jiangnan Li*‡, Shunyu Yao, Wenjie Pang, Xiaochen Zhou, Zhou Xiao, Fandong Meng, Jie Zhou. Personality Understanding of Fictional Characters during Book Reading. [PDF] 

• [ACL] Sijia Wang, Mo Yu, Lifu Huang. The art of prompting: Event detection based on type specific prompts. [PDF] 

• [Findings of ACL] 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. [PDF] 

• [Findings of ACL] Mo Yu*, Yi Gu*‡, Xiaoxiao Guo, Yufei Feng, Xiaodan Zhu, Michael Greenspan, Murray Campbell, Chuang Gan. JECC: Commonsense Reasoning Tasks Derived from Interactive Fictions. (Short version accepted at NeurIPS 2020 workshop. Dataset included in Ernest Davis's list of Datasets and Benchmarks for Commonsense Reasoning.) [PDF] 

• [ICML] Guanhua Zhang, Jiabao Ji, Yang Zhang, Mo Yu, Tommi Jaakkola, Shiyu Chang. Towards Coherent Image Inpainting Using Denoising Diffusion Implicit Models. [PDF] 

• [Computer Methods in Applied Mechanics and Engineering] Lu Zhang, Huaiqian You, Tian Gao, Mo Yu, Chung-Hao Lee, Yue Yu. MetaNO: How to Transfer Your Knowledge on Learning Hidden Physics. 

2022

• [IJCAI-Survey] Yisi Sang‡, Xiangyang Mou‡, Jing Li, Jeffrey Stanton, Mo Yu. A Survey of Machine Narrative Reading Comprehension Assessments.

• [TACL] Nouha Dziri, Ehsan Kamalloo, Sivan Milton, Osmar Zaiane, Mo Yu, Edoardo Ponti, Siva Reddy. FaithDial: A Faithful Benchmark for Information-Seeking Dialogue. 

• [Findings of EMNLP] Yisi Sang*‡, Xiangyang Mou*‡, Mo Yu*§, Dakuo Wang, Jing Li, Jeffrey Stanton. MBTI Personality Prediction for Fictional Characters Using Movie Scripts.

• [Findings of EMNLP] Yi Gu‡, Shunyu Yao, Chuang Gan, Josh Tenenbaum, Mo Yu. Revisiting the Roles of "Text” in Text Games.

• [NAACL] Yisi Sang*‡, Xiangyang Mou*‡, Mo Yu*§, Shunyu Yao, Jing Li, Jeffrey Stanton. TVShowGuess: Character Comprehension in Stories as Speaker Guessing.

• [NAACL] Nouha Dziri, Sivan Milton, Mo Yu, Osmar Zaiane, Siva Reddy. On the Origin of Hallucinations in Conversational Models: Is it the Datasets or the Models?

• [NAACL] Pengshan Cai, Hui Wan, Fei Liu, Mo Yu, Hong Yu, Sachindra Joshi. Learning as Conversation: Dialogue Systems Reinforced for Information Acquisition.

• [ACL] 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] 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] Bingsheng Yao, Dakuo Wang, Tongshuang Wu, Zheng Zhang, 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.

• [Findings of ACL] Sijia Wang‡, Mo Yu, Shiyu Chang, Lichao Sun, Lifu Huang. Query and Extract: Refining Event Extraction as Type-oriented Binary Decoding.

• [ICLR] Shunyu Yao, Mo Yu, Yang Zhang, Karthik R Narasimhan, Joshua B. Tenenbaum, Chuang Gan. Linking Emergent and Natural Languages via Corpus Transfer. (Spotlight). 

2021

• [TACL] 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. 

• [NeurIPS] Mo Yu*, Yang Zhang*, Shiyu Chang*, Tommi S Jaakkola. Understanding Interlocking Dynamics of Cooperative Rationalization. 

• [ICCV] Zhonghao Wang‡, Kai Wang, Mo Yu§, Jinjun Xiong, Wen-mei Hwu, Mark Hasegawa-Johnson, Honghui Shi. Interpretable Visual Reasoning via Induced Symbolic Space. 

• [EMNLP] Manling Li‡, Tengfei Ma, Mo Yu, Lingfei Wu, Tian Gao, Heng Ji and Kathleen McKeown. Timeline Summarization based on Event Graph Compression via Time-Aware Optimal Transport.

• [NAACL] Lin Pan, Chung-Wei Hang, Haode Qi, Abhishek Shah, Saloni Potdar, Mo Yu. Multilingual BERT Post-Pretraining Alignment. 

• [NAACL Industrial] Haode Qi, Lin Pan, Atin Sood, Abhishek Shah, Ladislav Kunc, Mo Yu, Saloni Potdar. Benchmarking Commercial Intent Detection Services with Practice-Driven Evaluations. 

• [ACL] The Deep-Thinking QA Team, IBM Research. Leveraging Abstract Meaning Representation for Knowledge Base Question Answering. 

• [EACL] Xiangyang Mou‡, Mo Yu, Shiyu Chang, Yufei Feng, Li Zhang, Hui Su. Complementary Evidence Identification in Open-Domain Question Answering. 

• [CSCW] 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. 

2020

• [TKDE] Linfeng Song, Zhiguo Wang, Mo Yu, Yue Zhang, Rado Florian, Daniel Gildea. Exploring graph-structured passage representation for multi-hop reading comprehension with graph neural networks. 

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

• [CVPR] Zhonghao Wang, Mo Yu, Yunchao Wei, Rogerior 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. 

• [ICML] Shiyu Chang*, Yang Zhang*, Mo Yu*, Tommi S Jaakkola. Invariant rationalization. 

• [EMNLP] Xiaoxiao Guo*, Mo Yu*, Yupeng Gao, Chuang Gan, Murray Campbell and Shiyu Chang. Interactive Fiction Game Playing as Multi-Paragraph Reading Comprehension with Reinforcement Learning. 

• [Findings of EMNLP] Lu Zhang, Mo Yu, Tian Gao and Yue Yu. MCMH: Learning Multi-Chain Multi-Hop Rules for Knowledge Graph Reasoning. 

• [ISWC] Nandana Mihindukulasooriya, Gaetano Rossiello, Pavan Kapanipathi, Ibrahim Abdelaziz, Srinivas Ravishankar, Mo Yu, Alfio Gliozzo, Salim Roukos and Alexander Gray. Leveraging Semantic Parsing for Relation Linking over Knowledge Bases. 

2019

• [NAACL] Hong Wang‡, Wenhan Xiong‡, Mo Yu, Xiaoxiao Guo, Shiyu Chang, William Y. Wang. ``Sentence Embedding Alignment for Lifelong Relation Extraction''. 

• [NAACL] Wenhan Xiong‡, Jiawei Wu, Daren Lei, Mo Yu, Shiyu Chang, Xiaoxiao Guo, William Y. Wang. ``Imposing Label-Relational Inductive Bias for Extremely Fine-Grained Entity Typing''.

• [AAAI] Xiaoxiao Guo, Shiyu Chang, Mo Yu, Gerald Tesauro, Murray Campbell. ``Hybrid Reinforcement Learning with Expert State Sequences''.

• [AAAI] X. Wang, P. Kapanipathi, R. Musa, M. Yu, K. Talamadupula, I. Abdelaziz, M. Chang, A. Fokoue, B. Makni, N. Mattei, M. Witbrock. ``Improving Natural Language Inference Using External Knowledge in the Science Questions Domain''.

• [ICML] Yue Yu, Jie Chen, Tian Gao, Mo Yu. ``DAG-GNN: DAG Structure Learning with Graph Neural Networks''.

• [ACL] Haoyu Wang*, Ming Tan*, Mo Yu*, Shiyu Chang, Dakuo Wang, Kun Xu, Xiaoxiao Guo and Saloni Potdar. ``Extracting Multiple-Relations in One-Pass with Pre-Trained Transformers''.

• [ACL] Wenhan Xiong‡, Mo Yu, Shiyu Chang, Xiaoxiao Guo and William Y. Wang. ``Improving Question Answering over Incomplete KBs with Knowledge-Aware Reader''.

• [ACL] Kun Xu, Liwei Wang, Mo Yu, Yansong Feng, Yan Song, Zhiguo Wang and Dong Yu. ``Cross-lingual Knowledge Graph Alignment via Graph Matching Neural Network''.

• [EMNLP] Linfeng Song, Yue Zhang, Daniel Gildea, Mo Yu, Zhiguo Wang and Jinsong Su. ``Leveraging Dependency Forest for Neural Medical Relation Extraction''.

• [EMNLP] Mo Yu*, Shiyu Chang*, Yang Zhang* and Tommi Jaakkola. ``Rethinking Cooperative Rationalization: Introspective Extraction and Complement Control''. (My Erdös number becomes 3: Mo Yu → Tommi Jaakkola → Noga Alon → Paul Erdös.)

• [EMNLP] Ming Tan, Yang Yu, Haoyu Wang, Dakuo Wang, Saloni Potdar, Shiyu Chang and Mo Yu. ``Out-of-Domain Detection for Low-Resource Text Classification Tasks''. 

• [NeurIPS] Shiyu Chang*, Yang Zhang*, Mo Yu*, Tommi S Jaakkola. ``A Game Theoretic Approach to Class-wise Selective Rationalization''. 

2018

• [NAACL] M. Yu*, X. Guo*, J. Yi*, S. Chang, S. Potdar, Y. Cheng, G. Tesauro, H. Wang, B. Zhou. ``Diverse Few-Shot Text Classification with Multiple Metrics''. 

• [ICLR] S. Wang*, M. Yu*, T. Klinger, W. Zhang, X. Guo, S. Chang, Z. Wang, J. Jiang, G. Tesauro, M. Campbell . ``Evidence Aggregation for Answer Re-Ranking in Open-Domain Question Answering''. 

• [AAAI] S. Wang‡, M. Yu, X. Guo, Z. Wang, T. Klinger, W. Zhang, S. Chang, G. Tesauro, B. Zhou. ``R$^ 3$: Reinforced Reader-Ranker for Open-Domain Question Answering''.

• [ACL] S. Wang‡, M. Yu, S. Chang, J. Jiang. ``A Co-Matching Model for Multi-choice Reading Comprehension''.

• [IJCAI] W. Xiong‡, X. Guo, M. Yu, S. Chang, WY. Wang. ``Scheduled Policy Optimization for Natural Language Communication with Intelligent Agents''.

• [CVPR] W. Han, S. Chang, D. Liu, M. Yu, M. Witbrock, TS. Huang. ``Image Super-Resolution via Dual-State Recurrent Networks''.

• [EMNLP] W. Xiong‡, M. Yu, S. Chang, X. Guo, WY. Wang. ``One-Shot Relational Learning for Knowledge Graphs''.

• [EMNLP] Y. Bao‡, S. Chang, M. Yu, R. Barzilay. ``Deriving Machine Attention from Human Rationales''.

• [EMNLP] K. Xu, L. Wu, Z. Wang, M. Yu, L. Chen, V. Sheinin. ``Exploiting Rich Syntactic Information for Semantic Parsing with Graph-to-Sequence Model''.

• [EMNLP] T. Guo, S. Chang, M. Yu, K. Bai. ``Improving Reinforcement Learning Based Image Captioning with Natural Language Prior''.

2017

• [ACL] M. Yu, W. Yin, K. Hasan, C. dos Santos, B. Xiang, B. Zhou. ``Improved Neural Relation Detection for Knowledge Base Question Answering''. 

• [ICLR] Z. Lin‡, M. Feng, CN. Santos, M. Yu, B. Xiang, B. Zhou, Y. Bengio. ``A structured self-attentive sentence embedding''.

• [NIPS] S. Chang, Y. Zhang, W. Han, M. Yu, X. Guo, W. Tan, X. Cui, M. Witbrock, M. Hasegawa-Johnson, TS. Huang. ``Dilated recurrent neural networks''.

• [NIPS workshop on meta-learning] Y. Cheng, M. Yu, X. Guo, B. Zhou. ``Few-Shot Learning with Meta Metric Learners''.

2016

• [NAACL] M. Yu, M. Dredze, R. Arora, M. Gormley. ``Embedding Lexical Features via Low-rank Tensors''.

• [COLING] W. Yin‡, M. Yu, B. Xiang, B. Zhou, H. Schütze. ``Simple question answering by attentive convolutional neural network''.

• [EMNLP] G. Kurata, B. Xiang, B. Zhou, M. Yu. ``Leveraging sentencelevel information with encoder LSTM for natural language understanding''.

2015

• [TACL] M. Yu, M. Dredze. ``Learning Composition Models for Phrase Embeddings''.

• [NAACL] M. Yu, M. Gormley, M. Dredze. ``Combining Word Embeddings and Feature Embeddings for Fine-grained Relation Extraction''. 

• [EMNLP] M. Gormley*, M. Yu*, M. Dredze. ``Improved Relation Extraction with Feature-rich Compositional Embedding Models''.

• [ACL] N. Peng, M. Yu, M. Dredze. ``An empirical study of chinese name matching and applications''.

• [NAACL] N. Peng, F. Ferraro, M. Yu, N. Andrews, J. DeYoung, M. Thomas. M. Gormley, T. Wolfe, C. Harman, B. Van Durme, M. Dredze``A Concrete Chinese NLP Pipeline''.

2014

• [NIPS] T. Zhao*, M. Yu*, Y. Wang, R. Arora, H. Liu. ``Accelerated Mini-batch Randomized Block Coordinate Descent Method''. 

• [ACL] M. Yu, M. Dredze. ``Improving Lexical Embeddings with Semantic Knowledge''. 

• [NIPS workshop on learning semantics] M. Yu, M. Gormley, M. Dredze. ``Improving Lexical Embeddings with Semantic Knowledge''.

2013

• [ACL] M. Yu, T. Zhao and Y. Bai, H. Tian, D. Yu. ``Cross-lingual Projections between Languages from different Families''.

• [NAACL] M. Yu, T. Zhao, D. Dong, H. Tian, D. Yu. ``Compound Embedding Features for Semi-supervised Learning''.

• [IJCAI] M. Yu, T. Zhao, Y. Bai. ``Learning Domain Differences Automatically for Dependency Parsing Adaptation''.

• [Journal of Software] M. Yu, T. Zhao, P. Hu. ``A Theoretical Analysis on Structured Learning with Noisy Data and its Applications'' (In Chinese).

Earlier Works

• L. Jiang, M. Yu, M. Zhou, X. Liu, T. Zhao. Target-dependent Twitter Sentiment Classification. ACL 2011.

• L. Liu, H. Cao, T. Watanabe, T. Zhao, M. Yu, C. Zhu. Locally Training the Log-Linear Model for SMT. EMNLP-CoNLL 2012.

• Y. Ren, M. Yu, X. Wang, L. Zhang, W. Ma, Diversifying Landmark Image Search Results by Learning Interested Views from Community Photos. WWW2010 Proceedings

• M. Yu, S. Wang, C. Zhu, T. Zhao: Semi-supervised learning for word sense disambiguation using parallel corpora. FSKD 2011: 1490-1494

• P. Hu, M. Yu, J. Li, C. Zhu, T. Zhao: Semi-supervised Learning Framework for Cross-Lingual Projection. Web Intelligence/IAT Workshops 2011: 213-216

• H. Liang, L. Liu, M. Yu, Y. Liu, P. Hu, T. Li, C. Zhang, H. Cao, T. Zhao. Technique reports of HIT-Machine Intelligence & Translation Lab for CWMT2011 (In Chinese)

• Z. Li, H. Li, M. Yu, T. Zhao, S. Li: Event Entailment Extraction Based on EM Iteration. IALP 2010: 101-104

• X. Han, M. Yu, C. Zhu, and T. Zhao. A Sequence Kernel Method for Chinese Subcategorization Analysis. Chinese Journal of Electronics. Vol.19, No.3, July 2010.

• X. Wang, M. Yu, L. Zhang, W. Ma, Argo: Intelligent Advertising Made Possible from Users’ Photos (demo paper). ACM MM09 Proceedings.

• X. Wang, M. Yu, L. Zhang, W. Ma. Advertising based on users’ photos. IEEE ICME 2009 workshop.

• X. Wang, M. Yu, L. Zhang, R. Cai, W. Ma. Argo: Intelligent Advertising by Mining a User’s Interest from His Photo Collections. ADKDD’09, June 28, 2009

• C. Zhu, M. Yu, T. Zhao. Chinese Word Segmenter Based on Discriminative Classifiers Integration. Journal of Computational Information Systems3:5(2008) 1-7