Advertising based on users' photos. - Xin-Jing Wang; Mo Yu; Lei Zhang 001; Wei-Ying Ma (ICME, 2009)

Argo: intelligent advertising by mining a user's interest from his photo collections. - Xin-Jing Wang; Mo Yu; Lei Zhang 001; Rui Cai 002; Wei-Ying Ma (KDD Workshop on Data Mining and Audience Intelligence for Advertising, 2009)

Argo: intelligent advertising made possible from users' photos. - Xin-Jing Wang; Mo Yu; Lei Zhang 001; Wei-Ying Ma (ACM Multimedia, 2009)

Event Entailment Extraction Based on EM Iteration. - Zhen Li; Hanjing Li; Mo Yu; Tiejun Zhao; Sheng Li 003 (IALP, 2010)

Diversifying landmark image search results by learning interested views from community photos. - Yuheng Ren; Mo Yu; Xin-Jing Wang; Lei Zhang 001; Wei-Ying Ma (WWW, 2010)

Target-dependent Twitter Sentiment Classification. - Long Jiang; Mo Yu; Ming Zhou 001; Xiaohua Liu; Tiejun Zhao (ACL, 2011)

Semi-supervised learning for word sense disambiguation using parallel corpora. - Mo Yu; Shu Wang; Conghui Zhu; Tiejun Zhao (FSKD, 2011)

Semi-supervised Learning Framework for Cross-Lingual Projection. - PengLong Hu; Mo Yu; Jing Li; Conghui Zhu; Tiejun Zhao (Web Intelligence/IAT Workshops, 2011)

Locally Training the Log-Linear Model for SMT. - Lemao Liu; Hailong Cao; Taro Watanabe; Tiejun Zhao; Mo Yu; Conghui Zhu (EMNLP-CoNLL, 2012)

Cross-lingual Projections between Languages from Different Families. - Mo Yu; Tiejun Zhao; Yalong Bai; Hao Tian; Dianhai Yu (ACL (2), 2013)

Learning Domain Differences Automatically for Dependency Parsing Adaptation. - Mo Yu; Tiejun Zhao; Yalong Bai (IJCAI, 2013)

Compound Embedding Features for Semi-supervised Learning. - Mo Yu; Tiejun Zhao; Daxiang Dong; Hao Tian; Dianhai Yu (HLT-NAACL, 2013)

Recommendation in Reciprocal and Bipartite Social Networks-A Case Study of Online Dating. - Mo Yu; Kang Zhao 001; John Yen; Derek Kreager (SBP, 2013)

User recommendation in reciprocal and bipartite social networks - a case study of online dating. - Kang Zhao 001; Xi Wang 010; Mo Yu; Bo Gao (CoRR, 2013)

Improving Lexical Embeddings with Semantic Knowledge. - Mo Yu; Mark Dredze (ACL (2), 2014)

Who were you talking to - Mining interpersonal relationships from cellphone network data. - Mo Yu; Wenjun Si; Guojie Song; Zhenhui Li; John Yen (ASONAM, 2014)

Accelerated Mini-batch Randomized Block Coordinate Descent Method. - Tuo Zhao; Mo Yu; Yiming Wang; Raman Arora; Han Liu 001 (NIPS, 2014)

User Recommendations in Reciprocal and Bipartite Social Networks-An Online Dating Case Study. - Kang Zhao 001; Xi Wang 010; Mo Yu; Bo Gao (IEEE Intell. Syst., 2014)

An Empirical Study of Chinese Name Matching and Applications. - Nanyun Peng 001; Mo Yu; Mark Dredze (ACL (2), 2015)

Improved Relation Extraction with Feature-Rich Compositional Embedding Models. - Matthew R. Gormley; Mo Yu; Mark Dredze (EMNLP, 2015)

A Concrete Chinese NLP Pipeline. - Nanyun Peng 001; Francis Ferraro; Mo Yu; Nicholas Andrews; Jay DeYoung; Max Thomas; Matthew R. Gormley; Travis Wolfe; Craig Harman; Benjamin Van Durme; Mark Dredze (HLT-NAACL, 2015)

Combining Word Embeddings and Feature Embeddings for Fine-grained Relation Extraction. - Mo Yu; Matthew R. Gormley; Mark Dredze (HLT-NAACL, 2015)

Learning Composition Models for Phrase Embeddings. - Mo Yu; Mark Dredze (Trans. Assoc. Comput. Linguistics, 2015)

New to online dating? Learning from experienced users for a successful match. - Mo Yu; Xiaolong Zhang 001; Derek Kreager (ASONAM, 2016)

Simple Question Answering by Attentive Convolutional Neural Network. - Wenpeng Yin 001; Mo Yu; Bing Xiang; Bowen Zhou 002; Hinrich Schütze (COLING, 2016)

Leveraging Sentence-level Information with Encoder LSTM for Semantic Slot Filling. - Gakuto Kurata; Bing Xiang; Bowen Zhou 006; Mo Yu (EMNLP, 2016)

Embedding Lexical Features via Low-Rank Tensors. - Mo Yu; Mark Dredze; Raman Arora; Matthew R. Gormley (HLT-NAACL, 2016)

Leveraging Sentence-level Information with Encoder LSTM for Natural Language Understanding. - Gakuto Kurata; Bing Xiang; Bowen Zhou 006; Mo Yu (CoRR, 2016)

End-to-End Reading Comprehension with Dynamic Answer Chunk Ranking. - Yang Yu 029; Wei Zhang 057; Kazi Saidul Hasan; Mo Yu; Bing Xiang; Bowen Zhou 002 (CoRR, 2016)

Improved Neural Relation Detection for Knowledge Base Question Answering. - Mo Yu; Wenpeng Yin 001; Kazi Saidul Hasan; Cícero Nogueira dos Santos; Bing Xiang; Bowen Zhou 002 (ACL (1), 2017)

A Structured Self-Attentive Sentence Embedding. - Zhouhan Lin; Minwei Feng; Cícero Nogueira dos Santos; Mo Yu; Bing Xiang; Bowen Zhou 002; Yoshua Bengio (ICLR (Poster), 2017)

Dilated Recurrent Neural Networks. - Shiyu Chang; Yang Zhang 001; Wei Han 002; Mo Yu; Xiaoxiao Guo; Wei Tan 001; Xiaodong Cui; Michael Witbrock; Mark A. Hasegawa-Johnson; Thomas S. Huang (NIPS, 2017)

Comparative Study of CNN and RNN for Natural Language Processing. - Wenpeng Yin 001; Katharina Kann; Mo Yu; Hinrich Schütze (CoRR, 2017)

Robust Task Clustering for Deep Many-Task Learning. - Mo Yu; Xiaoxiao Guo; Jinfeng Yi; Shiyu Chang; Saloni Potdar; Gerald Tesauro; Haoyu Wang 002; Bowen Zhou (CoRR, 2017)

R3: Reinforced Reader-Ranker for Open-Domain Question Answering. - Shuohang Wang; Mo Yu; Xiaoxiao Guo; Zhiguo Wang; Tim Klinger; Wei Zhang 057; Shiyu Chang; Gerald Tesauro; Bowen Zhou 002; Jing Jiang 001 (CoRR, 2017)

R3: Reinforced Ranker-Reader for Open-Domain Question Answering. - Shuohang Wang; Mo Yu; Xiaoxiao Guo; Zhiguo Wang; Tim Klinger; Wei Zhang 057; Shiyu Chang; Gerry Tesauro; Bowen Zhou 002; Jing Jiang 001 (AAAI, 2018)

A Co-Matching Model for Multi-choice Reading Comprehension. - Shuohang Wang; Mo Yu; Jing Jiang 001; Shiyu Chang (ACL (2), 2018)

Knowledge Base Relation Detection via Multi-View Matching. - Yang Yu 029; Kazi Saidul Hasan; Mo Yu; Wei Zhang 057; Zhiguo Wang (ADBIS (Short Papers and Workshops), 2018)

Image Super-Resolution via Dual-State Recurrent Networks. - Wei Han 002; Shiyu Chang; Ding Liu 001; Mo Yu; Michael Witbrock; Thomas S. Huang (CVPR, 2018)

Deriving Machine Attention from Human Rationales. - Yujia Bao; Shiyu Chang; Mo Yu; Regina Barzilay (EMNLP, 2018)

Improving Reinforcement Learning Based Image Captioning with Natural Language Prior. - Tszhang Guo; Shiyu Chang; Mo Yu; Kun Bai (EMNLP, 2018)

One-Shot Relational Learning for Knowledge Graphs. - Wenhan Xiong; Mo Yu; Shiyu Chang; Xiaoxiao Guo; William Yang Wang (EMNLP, 2018)

Exploiting Rich Syntactic Information for Semantic Parsing with Graph-to-Sequence Model. - Kun Xu 005; Lingfei Wu 001; Zhiguo Wang; Mo Yu; Liwei Chen; Vadim Sheinin (EMNLP, 2018)

Evidence Aggregation for Answer Re-Ranking in Open-Domain Question Answering. - Shuohang Wang; Mo Yu; Jing Jiang 001; Wei Zhang 057; Xiaoxiao Guo; Shiyu Chang; Zhiguo Wang; Tim Klinger; Gerald Tesauro; Murray Campbell (ICLR (Poster), 2018)

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

Diverse Few-Shot Text Classification with Multiple Metrics. - Mo Yu; Xiaoxiao Guo; Jinfeng Yi; Shiyu Chang; Saloni Potdar; Yu Cheng 001; Gerald Tesauro; Haoyu Wang 002; Bowen Zhou (NAACL-HLT, 2018)

Named Entities troubling your Neural Methods? Build NE-Table: A neural approach for handling Named Entities. - Janarthanan Rajendran; Jatin Ganhotra; Xiaoxiao Guo; Mo Yu; Satinder Singh 001 (CoRR, 2018)

Spatial-Temporal Synergic Residual Learning for Video Person Re-Identification. - Xinxing Su; Yingtian Zou; Yu Cheng 001; Shuangjie Xu; Mo Yu; Pan Zhou 001 (CoRR, 2018)

Exploring Graph-structured Passage Representation for Multi-hop Reading Comprehension with Graph Neural Networks. - Linfeng Song; Zhiguo Wang; Mo Yu; Yue Zhang 004; Radu Florian; Daniel Gildea (CoRR, 2018)

SQL-to-Text Generation with Graph-to-Sequence Model. - Kun Xu 005; Lingfei Wu 001; Zhiguo Wang; Mo Yu; Liwei Chen; Vadim Sheinin (CoRR, 2018)

Community-Based Recommendation for Cold-Start Problem: A Case Study of Reciprocal Online Dating Recommendation. - Mo Yu; Xiaolong (Luke) Zhang; Dongwon Lee 001; Derek Kreager (Social Network Based Big Data Analysis and Applications, 2018)

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 001; Achille Fokoue; Bassem Makni; Nicholas Mattei; Michael Witbrock (AAAI, 2019)

Multi-step Entity-centric Information Retrieval for Multi-Hop Question Answering. - Rajarshi Das; Ameya Godbole; Dilip Kavarthapu; Zhiyu Gong; Abhishek Singhal; Mo Yu; Xiaoxiao Guo; Tian Gao; Hamed Zamani; Manzil Zaheer; Andrew McCallum (MRQA@EMNLP, 2019)

Do Multi-hop Readers Dream of Reasoning Chains? - Haoyu Wang 002; Mo Yu; Xiaoxiao Guo; Rajarshi Das; Wenhan Xiong; Tian Gao (MRQA@EMNLP, 2019)

Simple yet Effective Bridge Reasoning for Open-Domain Multi-Hop Question Answering. - Wenhan Xiong; Mo Yu; Xiaoxiao Guo; Hong Wang 023; Shiyu Chang; Murray Campbell; William Yang Wang (MRQA@EMNLP, 2019)

Extracting Multiple-Relations in One-Pass with Pre-Trained Transformers. - Haoyu Wang 002; Ming Tan; Mo Yu; Shiyu Chang; Dakuo Wang; Kun Xu; Xiaoxiao Guo; Saloni Potdar (ACL (1), 2019)

Self-Supervised Learning for Contextualized Extractive Summarization. - Hong Wang 023; Xin Wang 061; Wenhan Xiong; Mo Yu; Xiaoxiao Guo; Shiyu Chang; William Yang Wang (ACL (1), 2019)

TWEETQA: A Social Media Focused Question Answering Dataset. - Wenhan Xiong; Jiawei Wu 003; Hong Wang 023; Vivek Kulkarni; Mo Yu; Shiyu Chang; Xiaoxiao Guo; William Yang Wang (ACL (1), 2019)

Improving Question Answering over Incomplete KBs with Knowledge-Aware Reader. - Wenhan Xiong; Mo Yu; Shiyu Chang; Xiaoxiao Guo; William Yang Wang (ACL (1), 2019)

Cross-lingual Knowledge Graph Alignment via Graph Matching Neural Network. - Kun Xu 005; Liwei Wang 009; Mo Yu; Yansong Feng 002; Yan Song 003; Zhiguo Wang; Dong Yu 001 (ACL (1), 2019)

Selection Bias Explorations and Debias Methods for Natural Language Sentence Matching Datasets. - Guanhua Zhang; Bing Bai; Jian Liang 002; Kun Bai; Shiyu Chang; Mo Yu; Conghui Zhu; Tiejun Zhao (ACL (1), 2019)

Multi-Granular Text Encoding for Self-Explaining Categorization. - Zhiguo Wang; Yue Zhang 004; Mo Yu; Wei Zhang; Lin Pan 003; Linfeng Song; Kun Xu 005; Yousef El-Kurdi (BlackboxNLP@ACL, 2019)

Leveraging Dependency Forest for Neural Medical Relation Extraction. - Linfeng Song; Yue Zhang 004; Daniel Gildea; Mo Yu; Zhiguo Wang; Jinsong Su (EMNLP/IJCNLP (1), 2019)

Context-Aware Conversation Thread Detection in Multi-Party Chat. - Ming Tan; Dakuo Wang; Yupeng Gao; Haoyu Wang 002; Saloni Potdar; Xiaoxiao Guo; Shiyu Chang; Mo Yu (EMNLP/IJCNLP (1), 2019)

Out-of-Domain Detection for Low-Resource Text Classification Tasks. - Ming Tan; Yang Yu 029; Haoyu Wang 002; Dakuo Wang; Saloni Potdar; Shiyu Chang; Mo Yu (EMNLP/IJCNLP (1), 2019)

Rethinking Cooperative Rationalization: Introspective Extraction and Complement Control. - Mo Yu; Shiyu Chang; Yang Zhang 001; Tommi S. Jaakkola (EMNLP/IJCNLP (1), 2019)

DAG-GNN: DAG Structure Learning with Graph Neural Networks. - Yue Yu; Jie Chen 007; Tian Gao; Mo Yu (ICML, 2019)

Sentence Embedding Alignment for Lifelong Relation Extraction. - Hong Wang 023; Wenhan Xiong; Mo Yu; Xiaoxiao Guo; Shiyu Chang; William Yang Wang (NAACL-HLT (1), 2019)

Imposing Label-Relational Inductive Bias for Extremely Fine-Grained Entity Typing. - Wenhan Xiong; Jiawei Wu 003; Deren Lei; Mo Yu; Shiyu Chang; Xiaoxiao Guo; William Yang Wang (NAACL-HLT (1), 2019)

A Game Theoretic Approach to Class-wise Selective Rationalization. - Shiyu Chang; Yang Zhang 001; Mo Yu; Tommi S. Jaakkola (NeurIPS, 2019)

NE-Table: A Neural key-value table for Named Entities. - Janarthanan Rajendran; Jatin Ganhotra; Xiaoxiao Guo; Mo Yu; Satinder Singh 001; Lazaros Polymenakos (RANLP, 2019)

Few-shot Learning with Meta Metric Learners. - Yu Cheng 001; Mo Yu; Xiaoxiao Guo; Bowen Zhou (CoRR, 2019)

A Hybrid Approach with Optimization and Metric-based Meta-Learner for Few-Shot Learning. - Duo Wang; Yu Cheng 001; Mo Yu; Xiaoxiao Guo; Tao Zhang 006 (CoRR, 2019)

Slack Channels Ecology in Enterprises: How Employees Collaborate Through Group Chat. - Dakuo Wang; Haoyu Wang 002; Mo Yu; Zahra Ashktorab; Ming Tan (CoRR, 2019)

Meta Reasoning over Knowledge Graphs. - Hong Wang 023; Wenhan Xiong; Mo Yu; Xiaoxiao Guo; Shiyu Chang; William Yang Wang (CoRR, 2019)

Towards Open-Domain Named Entity Recognition via Neural Correction Models. - Mengdi Zhu; Zheye Deng; Wenhan Xiong; Mo Yu; Ming Zhang 004; William Yang Wang (CoRR, 2019)

An Efficient and Margin-Approaching Zero-Confidence Adversarial Attack. - Yang Zhang 001; Shiyu Chang; Mo Yu; Kaizhi Qian (CoRR, 2019)

A hybrid approach with optimization-based and metric-based meta-learner for few-shot learning. - Duo Wang; Yu Cheng 001; Mo Yu; Xiaoxiao Guo; Tao Zhang 006 (Neurocomputing, 2019)

Generalizable Resource Allocation in Stream Processing via Deep Reinforcement Learning. - Xiang Ni; Jing Li 025; Mo Yu; Wang Zhou; Kun-Lung Wu (AAAI, 2020)

Frustratingly Hard Evidence Retrieval for QA Over Books. - Xiangyang Mou; Mo Yu; Bingsheng Yao; Chenghao Yang 001; Xiaoxiao Guo; Saloni Potdar; Hui Su (NUSE@ACL, 2020)

Differential Treatment for Stuff and Things: A Simple Unsupervised Domain Adaptation Method for Semantic Segmentation. - Zhonghao Wang 001; Mo Yu; Yunchao Wei; Rogério Feris; Jinjun Xiong; Wen-Mei Hwu; Thomas S. Huang; Honghui Shi (CVPR, 2020)

Interactive Fiction Game Playing as Multi-Paragraph Reading Comprehension with Reinforcement Learning. - Xiaoxiao Guo; Mo Yu; Yupeng Gao; Chuang Gan 001; Murray Campbell; Shiyu Chang (EMNLP (1), 2020)

MCMH: Learning Multi-Chain Multi-Hop Rules for Knowledge Graph Reasoning. - Lu Zhang; Mo Yu; Tian Gao; Yue Yu (EMNLP (Findings), 2020)

Invariant Rationalization. - Shiyu Chang; Yang Zhang 001; Mo Yu; Tommi S. Jaakkola (ICML, 2020)

Leveraging Semantic Parsing for Relation Linking over Knowledge Bases. - Nandana Mihindukulasooriya; Gaetano Rossiello; Pavan Kapanipathi; Ibrahim Abdelaziz; Srinivas Ravishankar; Mo Yu; Alfio Gliozzo; Salim Roukos; Alexander G. Gray (ISWC (1), 2020)

Learning to Recover Reasoning Chains for Multi-Hop Question Answering via Cooperative Games. - Yufei Feng; Mo Yu; Wenhan Xiong; Xiaoxiao Guo; Junjie Huang 008; Shiyu Chang; Murray Campbell; Michael A. Greenspan; Xiaodan Zhu 001 (CoRR, 2020)

Deriving Commonsense Inference Tasks from Interactive Fictions. - Mo Yu; Xiaoxiao Guo; Yufei Feng; Xiaodan Zhu 001; Michael A. Greenspan; Murray Campbell (CoRR, 2020)

Question Answering over Knowledge Bases by Leveraging Semantic Parsing and Neuro-Symbolic Reasoning. - Pavan Kapanipathi; Ibrahim Abdelaziz; Srinivas Ravishankar; Salim Roukos; Alexander G. Gray; Ramón Fernandez Astudillo; Maria Chang 001; Cristina Cornelio; Saswati Dana; Achille Fokoue; Dinesh Garg; Alfio Gliozzo; et al. (CoRR, 2020)

Leveraging Abstract Meaning Representation for Knowledge Base Question Answering. - Pavan Kapanipathi; Ibrahim Abdelaziz; Srinivas Ravishankar; Salim Roukos; Alexander G. Gray; Ramón Fernandez Astudillo; Maria Chang 001; Cristina Cornelio; Saswati Dana; Achille Fokoue; Dinesh Garg; Alfio Gliozzo; et al. (ACL/IJCNLP (Findings), 2021)

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 008; Shiyu Chang; Murray Campbell; Michael A. Greenspan; Xiaodan Zhu 001 (Canadian AI, 2021)

Complementary Evidence Identification in Open-Domain Question Answering. - Xiangyang Mou; Mo Yu; Shiyu Chang; Yufei Feng; Li Zhang; Hui Su (EACL, 2021)

Timeline Summarization based on Event Graph Compression via Time-Aware Optimal Transport. - Manling Li; Tengfei Ma 001; Mo Yu; Lingfei Wu 001; Tian Gao; Heng Ji 001; Kathleen R. McKeown (EMNLP (1), 2021)

Interpretable Visual Reasoning via Induced Symbolic Space. - Zhonghao Wang 001; Kai Wang 058; Mo Yu; Jinjun Xiong; Wen-Mei Hwu; Mark Hasegawa-Johnson; Humphrey Shi (ICCV, 2021)

Multilingual BERT Post-Pretraining Alignment. - Lin Pan 003; Chung-Wei Hang; Haode Qi; Abhishek Shah; Saloni Potdar; Mo Yu (NAACL-HLT, 2021)

Benchmarking Commercial Intent Detection Services with Practice-Driven Evaluations. - Haode Qi; Lin Pan 003; Atin Sood; Abhishek Shah; Ladislav Kunc; Mo Yu; Saloni Potdar (NAACL-HLT (Industry Papers), 2021)

Understanding Interlocking Dynamics of Cooperative Rationalization. - Mo Yu; Yang Zhang 001; Shiyu Chang; Tommi S. Jaakkola (NeurIPS, 2021)

CASS: Towards Building a Social-Support Chatbot for Online Health Community. - Liuping Wang; Dakuo Wang; Feng Tian 001; Zhenhui Peng; Xiangmin Fan; Zhan Zhang 008; Shuai Ma; Mo Yu; Xiaojuan Ma; Hongan Wang (CoRR, 2021)

Improved Text Classification via Contrastive Adversarial Training. - Lin Pan 003; Chung-Wei Hang; Avirup Sil; Saloni Potdar; Mo Yu (CoRR, 2021)

It is AI's Turn to Ask Human a Question: Question and Answer Pair Generation for Children Storybooks in FairytaleQA Dataset. - Bingsheng Yao; Dakuo Wang; Tongshuang Wu; Tran Bao Hoang; Branda Sun; Toby Jia-Jun Li; Mo Yu; Ying Xu (CoRR, 2021)

Feudal Reinforcement Learning by Reading Manuals. - Kai Wang 058; Zhonghao Wang 001; Mo Yu; Humphrey Shi (CoRR, 2021)

CASS: Towards Building a Social-Support Chatbot for Online Health Community. - Liuping Wang; Dakuo Wang; Feng Tian 001; Zhenhui Peng; Xiangmin Fan; Zhan Zhang 008; Mo Yu; Xiaojuan Ma; Hongan Wang (Proc. ACM Hum. Comput. Interact., 2021)

Narrative Question Answering with Cutting-Edge Open-Domain QA Techniques: A Comprehensive Study. - Xiangyang Mou; Chenghao Yang 001; Mo Yu; Bingsheng Yao; Xiaoxiao Guo; Saloni Potdar; Hui Su (Trans. Assoc. Comput. Linguistics, 2021)

Query and Extract: Refining Event Extraction as Type-oriented Binary Decoding. - Sijia Wang; Mo Yu; Shiyu Chang; Lichao Sun 001; Lifu Huang (ACL (Findings), 2022)

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 043; Toby Jia-Jun Li; Nora Bradford; Branda Sun; Tran Bao Hoang; Yisi Sang; et al. (ACL (1), 2022)

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 043; Toby Jia-Jun Li; Mo Yu; Ying Xu (ACL (1), 2022)

Educational Question Generation of Children Storybooks via Question Type Distribution Learning and Event-centric Summarization. - Zhenjie Zhao; Yufang Hou 001; Dakuo Wang; Mo Yu; Chengzhong Liu; Xiaojuan Ma (ACL (1), 2022)

StoryBuddy: A Human-AI Collaborative Chatbot for Parent-Child Interactive Storytelling with Flexible Parental Involvement. - Zheng Zhang 043; Ying Xu; Yanhao Wang; Bingsheng Yao; Daniel Ritchie; Tongshuang Wu; Mo Yu; Dakuo Wang; Toby Jia-Jun Li (CHI, 2022)

Revisiting the Roles of "Text" in Text Games. - Yi Gu 002; Shunyu Yao; Chuang Gan 001; Josh Tenenbaum 001; Mo Yu (EMNLP (Findings), 2022)

MBTI Personality Prediction for Fictional Characters Using Movie Scripts. - Yisi Sang; Xiangyang Mou; Mo Yu; Dakuo Wang; Jing Li 025; Jeffrey M. Stanton (EMNLP (Findings), 2022)

Linking Emergent and Natural Languages via Corpus Transfer. - Shunyu Yao; Mo Yu; Yang Zhang 001; Karthik R. Narasimhan; Joshua B. Tenenbaum; Chuang Gan 001 (ICLR, 2022)

A Survey of Machine Narrative Reading Comprehension Assessments. - Yisi Sang; Xiangyang Mou; Jing Li 025; Jeffrey M. Stanton; Mo Yu (IJCAI, 2022)

Learning as Conversation: Dialogue Systems Reinforced for Information Acquisition. - Pengshan Cai; Hui Wan 001; Fei Liu 004; Mo Yu; Hong Yu 001; Sachindra Joshi (NAACL-HLT, 2022)

On the Origin of Hallucinations in Conversational Models: Is it the Datasets or the Models? - Nouha Dziri; Sivan Milton; Mo Yu; Osmar R. Zaïane; Siva Reddy (NAACL-HLT, 2022)

TVShowGuess: Character Comprehension in Stories as Speaker Guessing. - Yisi Sang; Xiangyang Mou; Mo Yu; Shunyu Yao; Jing Li 025; Jeffrey M. Stanton (NAACL-HLT, 2022)

Efficient Long Sequence Encoding via Synchronization. - Xiangyang Mou; Mo Yu; Bingsheng Yao; Lifu Huang (CoRR, 2022)

Probing Script Knowledge from Pre-Trained Models. - Zijian Jin; Xingyu Zhang; Mo Yu; Lifu Huang (CoRR, 2022)

Few-Shot Character Understanding in Movies as an Assessment to Meta-Learning of Theory-of-Mind. - Mo Yu; Yisi Sang; Kangsheng Pu; Zekai Wei; Han Wang; Jing Li; Yue Yu; Jie Zhou 016 (CoRR, 2022)

Group Chat Ecology in Enterprise Instant Messaging: How Employees Collaborate Through Multi-User Chat Channels on Slack. - Dakuo Wang; Haoyu Wang 002; Mo Yu; Zahra Ashktorab; Ming Tan (Proc. ACM Hum. Comput. Interact., 2022)

FaithDial: A Faithful Benchmark for Information-Seeking Dialogue. - Nouha Dziri; Ehsan Kamalloo; Sivan Milton; Osmar R. Zaïane; Mo Yu; Edoardo Maria Ponti; Siva Reddy (Trans. Assoc. Comput. Linguistics, 2022)

Evidence Integration for Multi-Hop Reading Comprehension With Graph Neural Networks. - Linfeng Song; Zhiguo Wang; Mo Yu; Yue Zhang 004; Radu Florian; Daniel Gildea (IEEE Trans. Knowl. Data Eng., 2022)

Question-Interlocutor Scope Realized Graph Modeling over Key Utterances for Dialogue Reading Comprehension. - Jiangnan Li; Mo Yu; Fandong Meng; Zheng Lin 001; Peng Fu 008; Weiping Wang 005; Jie Zhou 016 (ACL (Findings), 2023)

The Art of Prompting: Event Detection based on Type Specific Prompts. - Sijia Wang; Mo Yu; Lifu Huang (ACL (2), 2023)

JECC: Commonsense Reasoning Tasks Derived from Interactive Fictions. - Mo Yu; Yi Gu 002; Xiaoxiao Guo; Yufei Feng; Xiaodan Zhu 001; Michael A. Greenspan; Murray Campbell; Chuang Gan 001 (ACL (Findings), 2023)

Personality Understanding of Fictional Characters during Book Reading. - Mo Yu; Jiangnan Li; Shunyu Yao; Wenjie Pang; Xiaochen Zhou; Xiao Zhou 004; Fandong Meng; Jie Zhou 016 (ACL (1), 2023)

Explicit Planning Helps Language Models in Logical Reasoning. - Hongyu Zhao 006; Kangrui Wang; Mo Yu; Hongyuan Mei (EMNLP, 2023)

Towards Coherent Image Inpainting Using Denoising Diffusion Implicit Models. - Guanhua Zhang; Jiabao Ji; Yang Zhang 001; Mo Yu; Tommi S. Jaakkola; Shiyu Chang (ICML, 2023)

Generalizable Reinforcement Learning-Based Coarsening Model for Resource Allocation over Large and Diverse Stream Processing Graphs. - Lanshun Nie; Yuqi Qiu; Fei Meng; Mo Yu; Jing Li 025 (IPDPS, 2023)

MetaNO: How to Transfer Your Knowledge on Learning Hidden Physics. - Lu Zhang; Huaiqian You; Tian Gao; Mo Yu; Chung-Hao Lee; Yue Yu (CoRR, 2023)

Can Large Language Models Play Text Games Well? Current State-of-the-Art and Open Questions. - Chen-Feng Tsai; Xiaochen Zhou; Sierra S. Liu; Jing Li; Mo Yu; Hongyuan Mei (CoRR, 2023)

Fine-Grained Modeling of Narrative Context: A Coherence Perspective via Retrospective Questions. - Liyan Xu; Jiangnan Li; Mo Yu; Jie Zhou 016 (ACL (1), 2024)

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 016 (ACL (Student Research Workshop), 2024)

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 016 (ACL (1), 2024)

On the token distance modeling ability of higher RoPE attention dimension. - Xiangyu Hong; Che Jiang; Biqing Qi; Fandong Meng; Mo Yu; Bowen Zhou 002; Jie Zhou 016 (EMNLP (Findings), 2024)

Identifying Factual Inconsistencies in Summaries: Grounding LLM Inference via Task Taxonomy. - Liyan Xu; Zhenlin Su; Mo Yu; Jin Xu; Jinho D. Choi; Jie Zhou 016; Fei Liu 004 (EMNLP (Findings), 2024)

Rethinking the Evaluation of In-Context Learning for LLMs. - Guoxin Yu; Lemao Liu; Mo Yu; Yue Yu; Xiang Ao 001 (EMNLP, 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 016 (ICML, 2024)

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 002; Jie Zhou 016 (NAACL-HLT, 2024)

Previously on the Stories: Recap Snippet Identification for Story Reading. - Jiangnan Li; Qiujing Wang; Liyan Xu; Wenjie Pang; Mo Yu; Zheng Lin 001; Weiping Wang 005; Jie Zhou 016 (CoRR, 2024)

Identifying Factual Inconsistency in Summaries: Towards Effective Utilization of Large Language Model. - Liyan Xu; Zhenlin Su; Mo Yu; Jin Xu; Jinho D. Choi; Jie Zhou 016; Fei Liu 004 (CoRR, 2024)

Graph Representation of Narrative Context: Coherence Dependency via Retrospective Questions. - Liyan Xu; Jiangnan Li; Mo Yu; Jie Zhou 016 (CoRR, 2024)

MANGO: A Benchmark for Evaluating Mapping and Navigation Abilities of Large Language Models. - Peng Ding; Jiading Fang; Peng Li; Kangrui Wang; Xiaochen Zhou; Mo Yu; Jing Li; Matthew R. Walter; Hongyuan Mei (CoRR, 2024)

Think out Loud: Emotion Deducing Explanation in Dialogues. - Jiangnan Li; Zheng Lin 001; Lanrui Wang; Qingyi Si; Yanan Cao 001; Mo Yu; Peng Fu 008; Weiping Wang 005; Jie Zhou 016 (CoRR, 2024)

Are LLM-based Recommenders Already the Best? Simple Scaled Cross-entropy Unleashes the Potential of Traditional Sequential Recommenders. - Cong Xu; Zhangchi Zhu; Mo Yu; Jun Wang 006; Jianyong Wang 001; Wei Zhang 056 (CoRR, 2024)

Large Language Models Can Self-Improve in Long-context Reasoning. - Siheng Li; Cheng Yang 002; Zesen Cheng; Lemao Liu; Mo Yu; Yujiu Yang; Wai Lam (CoRR, 2024)

An Energy-based Model for Word-level AutoCompletion in Computer-aided Translation. - Cheng Yang 007; Guoping Huang; Mo Yu; Zhirui Zhang; Siheng Li; Mingming Yang; Shuming Shi 001; Yujiu Yang; Lemao Liu (Trans. Assoc. Comput. Linguistics, 2024)

Coherency Improved Explainable Recommendation via Large Language Model. - Shijie Liu; Ruixin Ding; Weihai Lu; Jun Wang 006; Mo Yu; Xiaoming Shi; Wei Zhang 056 (AAAI, 2025)

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 016; Wai Lam (ACL (1), 2025)

Understanding LLMs' Fluid Intelligence Deficiency: An Analysis of the ARC Task. - Junjie Wu 007; Mo Yu; Lemao Liu; Dit-Yan Yeung; Jie Zhou 016 (NAACL (Long Papers), 2025)

The Stochastic Parrot on LLM's Shoulder: A Summative Assessment of Physical Concept Understanding. - Mo Yu; Lemao Liu; Junjie Wu 007; Tsz Ting Chung; Shunchi Zhang; Jiangnan Li; Dit-Yan Yeung; Jie Zhou 016 (NAACL (Long Papers), 2025)

A Survey on the Honesty of Large Language Models. - Siheng Li; Cheng Yang 002; Taiqiang Wu; Chufan Shi; Yuji Zhang 002; Xinyu Zhu; Zesen Cheng; Deng Cai 002; Mo Yu; Lemao Liu; Jie Zhou 016; Yujiu Yang; et al. (Trans. Mach. Learn. Res., 2025)

DBudgetKV: Dynamic Budget in KV Cache Compression for Ensuring Optimal Performance. - Xuanfan Ni; Liyan Xu; Chenyang Lyu; Longyue Wang; Mo Yu; Lemao Liu; Fandong Meng; Jie Zhou 016; Piji Li (CoRR, 2025)

FaceID-6M: A Large-Scale, Open-Source FaceID Customization Dataset. - Shuhe Wang; Xiaoya Li 001; Jiwei Li 001; Guoyin Wang 002; Xiaofei Sun 001; Bob Zhu; Han Qiu 001; Mo Yu; Shengjie Shen; Tianwei Zhang 004; Eduard H. Hovy (CoRR, 2025)

Coherency Improved Explainable Recommendation via Large Language Model. - Shijie Liu; Ruixing Ding; Weihai Lu; Jun Wang 006; Mo Yu; Xiaoming Shi; Wei Zhang 056 (CoRR, 2025)

Pushing the Limits of Low-Bit Optimizers: A Focus on EMA Dynamics. - Cong Xu; Wenbin Liang; Mo Yu; Anan Liu; Ke-Yue Zhang; Lizhuang Ma; Jianyong Wang 001; Jun Wang 006; Wei Zhang 056 (CoRR, 2025)

Rebalancing Discriminative Responses for Knowledge Tracing. - Jiajun Cui; Hong Qian; Chanjin Zheng; Lu Wang 029; Mo Yu; Wei Zhang 056 (ACM Trans. Inf. Syst., 2025)

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 016 (CoRR, 2025)

SitEmb-v1.5: Improved Context-Aware Dense Retrieval for Semantic Association and Long Story Comprehension. - Junjie Wu 007; Jiangnan Li; Yuqing Li; Lemao Liu; Liyan Xu; Jiwei Li; Dit-Yan Yeung; Jie Zhou 016; Mo Yu (CoRR, 2025)

PRELUDE: A Benchmark Designed to Require Global Comprehension and Reasoning over Long Contexts. - Mo Yu; Tsz Ting Chung; Chulun Zhou; Tong Li; Rui Lu; Jiangnan Li; Liyan Xu; Haoshu Lu; Ning Zhang; Jing Li; Jie Zhou 016 (CoRR, 2025)

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 (CoRR, 2025)