Lili Mou

ORCID

Publication Activity (10 Years)

Years Active: 2012-2024
Publications (10 Years): 142

Top Venues

Publications

Behzad Shayegh, Yanshuai Cao, Xiaodan Zhu, Jackie C. K. Cheung, Lili Mou
Ensemble Distillation for Unsupervised Constituency Parsing. ICLR (2024)
Yongchang Hao, Yanshuai Cao, Lili Mou
Flora: Low-Rank Adapters Are Secretly Gradient Compressors. CoRR (2024)
Dongheng Li, Yongchang Hao, Lili Mou
LLMR: Knowledge Distillation with a Large Language Model-Induced Reward. LREC/COLING (2024)
Yutong Han, Yan Yuan, Lili Mou
A Dual-View Approach to Classifying Radiology Reports by Co-Training. CoRR (2024)
Behzad Shayegh, Yuqiao Wen, Lili Mou
Ensemble-Based Unsupervised Discontinuous Constituency Parsing by Tree Averaging. CoRR (2024)
Yongchang Hao, Yanshuai Cao, Lili Mou
Ginger: An Efficient Curvature Approximation with Linear Complexity for General Neural Networks. CoRR (2024)
Yuqiao Wen, Behzad Shayegh, Chenyang Huang, Yanshuai Cao, Lili Mou
EBBS: An Ensemble with Bi-Level Beam Search for Zero-Shot Machine Translation. CoRR (2024)
Ning Shi, Zijun Wu, Lili Mou
Action Controlled Paraphrasing. CoRR (2024)
Zijun Wu, Yongkang Wu, Lili Mou
Zero-Shot Continuous Prompt Transfer: Generalizing Task Semantics Across Language Models. ICLR (2024)
Sajad Ramezani, Mauzama Firdaus, Lili Mou
Claim-Centric and Sentiment Guided Graph Attention Network for Rumour Detection. LREC/COLING (2024)
Yutong Han, Yan Yuan, Lili Mou
A Dual-View Approach to Classifying Radiology Reports by Co-Training. LREC/COLING (2024)
Zijun Wu, Yongkang Wu, Lili Mou
Zero-Shot Continuous Prompt Transfer: Generalizing Task Semantics Across Language Models. CoRR (2023)
Behzad Shayegh, Yanshuai Cao, Xiaodan Zhu, Jackie Chi Kit Cheung, Lili Mou
Ensemble Distillation for Unsupervised Constituency Parsing. CoRR (2023)
Guoqing Luo, Yu Tong Han, Lili Mou, Mauajama Firdaus
Prompt-Based Editing for Text Style Transfer. EMNLP (Findings) (2023)
Yuqiao Wen, Zichao Li, Wenyu Du, Lili Mou
f-Divergence Minimization for Sequence-Level Knowledge Distillation. CoRR (2023)
Xianggen Liu, Zhengdong Lu, Lili Mou
Weakly Supervised Reasoning by Neuro-Symbolic Approaches. CoRR (2023)
Lili Mou
Search and Learning for Unsupervised Text Generation. CoRR (2023)
Yuqiao Wen, Zichao Li, Wenyu Du, Lili Mou
f-Divergence Minimization for Sequence-Level Knowledge Distillation. ACL (1) (2023)
Yuqiao Wen, Yongchang Hao, Yanshuai Cao, Lili Mou
An Equal-Size Hard EM Algorithm for Diverse Dialogue Generation. ICLR (2023)
Guoqing Luo, Yu Tong Han, Lili Mou, Mauajama Firdaus
Prompt-Based Editing for Text Style Transfer. CoRR (2023)
Zijun Wu, Zi Xuan Zhang, Atharva Naik, Zhijian Mei, Mauajama Firdaus, Lili Mou
Weakly Supervised Explainable Phrasal Reasoning with Neural Fuzzy Logic. ICLR (2023)
Chenyang Huang, Fei Huang, Zaixiang Zheng, Osmar Zaïane, Hao Zhou, Lili Mou
Multilingual Non-Autoregressive Machine Translation without Knowledge Distillation. IJCNLP (Findings) (2023)
Zijun Wu, Anup Anand Deshmukh, Yongkang Wu, Jimmy Lin, Lili Mou
Unsupervised Chunking with Hierarchical RNN. CoRR (2023)
Yongchang Hao, Yuxin Liu, Lili Mou
Teacher Forcing Recovers Reward Functions for Text Generation. CoRR (2022)
Zeyu Sun, Wenjie Zhang, Lili Mou, Qihao Zhu, Yingfei Xiong, Lu Zhang
Generalized Equivariance and Preferential Labeling for GNN Node Classification. AAAI (2022)
Wang Xu, Kehai Chen, Lili Mou, Tiejun Zhao
Document-Level Relation Extraction with Sentences Importance Estimation and Focusing. CoRR (2022)
Lucas N. Ferreira, Lili Mou, Jim Whitehead, Levi H. S. Lelis
Controlling Perceived Emotion in Symbolic Music Generation with Monte Carlo Tree Search. CoRR (2022)
Puyuan Liu, Xiang Zhang, Lili Mou
A Character-Level Length-Control Algorithm for Non-Autoregressive Sentence Summarization. CoRR (2022)
Yongchang Hao, Yuxin Liu, Lili Mou
Teacher Forcing Recovers Reward Functions for Text Generation. NeurIPS (2022)
Chenyang Huang, Hao Zhou, Osmar R. Zaïane, Lili Mou, Lei Li
Non-autoregressive Translation with Layer-Wise Prediction and Deep Supervision. AAAI (2022)
Wang Xu, Kehai Chen, Lili Mou, Tiejun Zhao
Document-Level Relation Extraction with Sentences Importance Estimation and Focusing. NAACL-HLT (2022)
Yuqiao Wen, Yongchang Hao, Yanshuai Cao, Lili Mou
An Equal-Size Hard EM Algorithm for Diverse Dialogue Generation. CoRR (2022)
Puyuan Liu, Chenyang Huang, Lili Mou
Learning Non-Autoregressive Models from Search for Unsupervised Sentence Summarization. CoRR (2022)
Lili Mou
Search and Learning for Unsupervised Text Generation. AI Mag. 43 (4) (2022)
Puyuan Liu, Xiang Zhang, Lili Mou
A Character-Level Length-Control Algorithm for Non-Autoregressive Sentence Summarization. NeurIPS (2022)
Puyuan Liu, Chenyang Huang, Lili Mou
Learning Non-Autoregressive Models from Search for Unsupervised Sentence Summarization. ACL (1) (2022)
Shailza Jolly, Zi Xuan Zhang, Andreas Dengel, Lili Mou
Search and Learn: Improving Semantic Coverage for Data-to-Text Generation. AAAI (2022)
Yuqiao Wen, Guoqing Luo, Lili Mou
An Empirical Study on the Overlapping Problem of Open-Domain Dialogue Datasets. CoRR (2022)
Yuqiao Wen, Guoqing Luo, Lili Mou
An Empirical Study on the Overlapping Problem of Open-Domain Dialogue Datasets. LREC (2022)
Lucas N. Ferreira, Lili Mou, Jim Whitehead, Levi H. S. Lelis
Controlling Perceived Emotion in Symbolic Music Generation with Monte Carlo Tree Search. AIIDE (2022)
Siguang Huang, Yunli Wang, Lili Mou, Huayue Zhang, Han Zhu, Chuan Yu, Bo Zheng
MBCT: Tree-Based Feature-Aware Binning for Individual Uncertainty Calibration. WWW (2022)
Siguang Huang, Yunli Wang, Lili Mou, Huayue Zhang, Han Zhu, Chuan Yu, Bo Zheng
MBCT: Tree-Based Feature-Aware Binning for Individual Uncertainty Calibration. CoRR (2022)
Anup Anand Deshmukh, Qianqiu Zhang, Ming Li, Jimmy Lin, Lili Mou
Unsupervised Chunking as Syntactic Structure Induction with a Knowledge-Transfer Approach. EMNLP (Findings) (2021)
Chenyang Huang, Wei Yang, Yanshuai Cao, Osmar Zaïane, Lili Mou
A Globally Normalized Neural Model for Semantic Parsing. SPNLP@ACL-IJCNLP (2021)
Chengzhang Dong, Chenyang Huang, Osmar R. Zaïane, Lili Mou
Simulated Annealing for Emotional Dialogue Systems. CoRR (2021)
Chengzhang Dong, Chenyang Huang, Osmar Zaïane, Lili Mou
Simulated Annealing for Emotional Dialogue Systems. CIKM (2021)
Zeyu Sun, Wenjie Zhang, Lili Mou, Qihao Zhu, Yingfei Xiong, Lu Zhang
Dynamic Labeling for Unlabeled Graph Neural Networks. CoRR (2021)
Bradley Hauer, Grzegorz Kondrak, Yixing Luan, Arnob Mallik, Lili Mou
Semi-Supervised and Unsupervised Sense Annotation via Translations. CoRR (2021)
Chenyang Huang, Amine Trabelsi, Xuebin Qin, Nawshad Farruque, Lili Mou, Osmar R. Zaïane
Seq2Emo: A Sequence to Multi-Label Emotion Classification Model. NAACL-HLT (2021)
Shailza Jolly, Zi Xuan Zhang, Andreas Dengel, Lili Mou
Search and Learn: Improving Semantic Coverage for Data-to-Text Generation. CoRR (2021)
Amirpasha Ghabussi, Lili Mou, Olga Vechtomova
Wasserstein Autoencoders with Mixture of Gaussian Priors for Stylized Text Generation. TDS (2021)
Chenyang Huang, Hao Zhou, Osmar R. Zaïane, Lili Mou, Lei Li
Non-Autoregressive Translation with Layer-Wise Prediction and Deep Supervision. CoRR (2021)
Zijun Wu, Atharva Naik, Zi Xuan Zhang, Lili Mou
Weakly Supervised Explainable Phrasal Reasoning with Neural Fuzzy Logic. CoRR (2021)
Xianggen Liu, Pengyong Li, Fandong Meng, Hao Zhou, Huasong Zhong, Jie Zhou, Lili Mou, Sen Song
Simulated annealing for optimization of graphs and sequences. Neurocomputing 465 (2021)
Chenyang Huang, Wei Yang, Yanshuai Cao, Osmar R. Zaïane, Lili Mou
A Globally Normalized Neural Model for Semantic Parsing. CoRR (2021)
Xianggen Liu, Pengyong Li, Fandong Meng, Hao Zhou, Huasong Zhong, Jie Zhou, Lili Mou, Sen Song
Simulated annealing for optimization of graphs and sequences. CoRR (2021)
Bradley Hauer, Grzegorz Kondrak, Yixing Luan, Arnob Mallik, Lili Mou
Semi-Supervised and Unsupervised Sense Annotation via Translations. RANLP (2021)
Raphael Schumann, Lili Mou, Yao Lu, Olga Vechtomova, Katja Markert
Discrete Optimization for Unsupervised Sentence Summarization with Word-Level Extraction. CoRR (2020)
Yixing Luan, Bradley Hauer, Lili Mou, Grzegorz Kondrak
Improving Word Sense Disambiguation with Translations. EMNLP (1) (2020)
Raphael Schumann, Lili Mou, Yao Lu, Olga Vechtomova, Katja Markert
Discrete Optimization for Unsupervised Sentence Summarization with Word-Level Extraction. ACL (2020)
Xianggen Liu, Lili Mou, Fandong Meng, Hao Zhou, Jie Zhou, Sen Song
Unsupervised Paraphrasing by Simulated Annealing. ACL (2020)
Nabiha Asghar, Lili Mou, Kira A. Selby, Kevin D. Pantasdo, Pascal Poupart, Xin Jiang
Progressive Memory Banks for Incremental Domain Adaptation. ICLR (2020)
Kashif Khan, Gaurav Sahu, Vikash Balasubramanian, Lili Mou, Olga Vechtomova
Adversarial Learning on the Latent Space for Diverse Dialog Generation. COLING (2020)
Yunli Wang, Yu Wu, Lili Mou, Zhoujun Li, Wen-Han Chao
Formality Style Transfer with Shared Latent Space. COLING (2020)
Zeyu Sun, Qihao Zhu, Yingfei Xiong, Yican Sun, Lili Mou, Lu Zhang
TreeGen: A Tree-Based Transformer Architecture for Code Generation. AAAI (2020)
Dhruv Kumar, Lili Mou, Lukasz Golab, Olga Vechtomova
Iterative Edit-Based Unsupervised Sentence Simplification. ACL (2020)
Jingjing Li, Zichao Li, Lili Mou, Xin Jiang, Michael R. Lyu, Irwin King
Unsupervised Text Generation by Learning from Search. NeurIPS (2020)
Pourya Vakilipourtakalou, Lili Mou
How Chaotic Are Recurrent Neural Networks? CoRR (2020)
Xianggen Liu, Lili Mou, Haotian Cui, Zhengdong Lu, Sen Song
Finding decision jumps in text classification. Neurocomputing 371 (2020)
Dhruv Kumar, Lili Mou, Lukasz Golab, Olga Vechtomova
Iterative Edit-Based Unsupervised Sentence Simplification. CoRR (2020)
Jingjing Li, Zichao Li, Lili Mou, Xin Jiang, Michael R. Lyu, Irwin King
Unsupervised Text Generation by Learning from Search. CoRR (2020)
Lili Mou, Olga Vechtomova
Stylized Text Generation: Approaches and Applications. ACL (tutorial) (2020)
Xianggen Liu, Lili Mou, Fandong Meng, Hao Zhou, Jie Zhou, Sen Song
Unsupervised Paraphrasing by Simulated Annealing. CoRR (2019)
Ning Miao, Hao Zhou, Lili Mou, Rui Yan, Lei Li
CGMH: Constrained Sentence Generation by Metropolis-Hastings Sampling. AAAI (2019)
Bowen Li, Lili Mou, Frank Keller
An Imitation Learning Approach to Unsupervised Parsing. CoRR (2019)
Zeyu Sun, Qihao Zhu, Yingfei Xiong, Yican Sun, Lili Mou, Lu Zhang
TreeGen: A Tree-Based Transformer Architecture for Code Generation. CoRR (2019)
Yu Bao, Hao Zhou, Shujian Huang, Lei Li, Lili Mou, Olga Vechtomova, Xinyu Dai, Jiajun Chen
Generating Sentences from Disentangled Syntactic and Semantic Spaces. CoRR (2019)
Bolin Wei, Shuai Lu, Lili Mou, Hao Zhou, Pascal Poupart, Ge Li, Zhi Jin
Why Do Neural Dialog Systems Generate Short and Meaningless Replies? a Comparison between Dialog and Translation. ICASSP (2019)
Zeyu Sun, Qihao Zhu, Lili Mou, Yingfei Xiong, Ge Li, Lu Zhang
A Grammar-Based Structural CNN Decoder for Code Generation. AAAI (2019)
Amirpasha Ghabussi, Lili Mou, Olga Vechtomova
Stylized Text Generation Using Wasserstein Autoencoders with a Mixture of Gaussian Prior. CoRR (2019)
Lili Mou, Hao Zhou, Lei Li
Discreteness in Neural Natural Language Processing. EMNLP/IJCNLP (2) (2019)
Raphael Tang, Yao Lu, Linqing Liu, Lili Mou, Olga Vechtomova, Jimmy Lin
Distilling Task-Specific Knowledge from BERT into Simple Neural Networks. CoRR (2019)
Vineet John, Lili Mou, Hareesh Bahuleyan, Olga Vechtomova
Disentangled Representation Learning for Non-Parallel Text Style Transfer. ACL (1) (2019)
Bowen Li, Lili Mou, Frank Keller
An Imitation Learning Approach to Unsupervised Parsing. ACL (1) (2019)
Hareesh Bahuleyan, Lili Mou, Hao Zhou, Olga Vechtomova
Stochastic Wasserstein Autoencoder for Probabilistic Sentence Generation. NAACL-HLT (1) (2019)
Kashif Khan, Gaurav Sahu, Vikash Balasubramanian, Lili Mou, Olga Vechtomova
Conditional Response Generation Using Variational Alignment. CoRR (2019)
Yu Bao, Hao Zhou, Shujian Huang, Lei Li, Lili Mou, Olga Vechtomova, Xin-Yu Dai, Jiajun Chen
Generating Sentences from Disentangled Syntactic and Semantic Spaces. ACL (1) (2019)
Yunli Wang, Yu Wu, Lili Mou, Zhoujun Li, Wenhan Chao
Harnessing Pre-Trained Neural Networks with Rules for Formality Style Transfer. EMNLP/IJCNLP (1) (2019)
Vineet John, Lili Mou, Hareesh Bahuleyan, Olga Vechtomova
Disentangled Representation Learning for Text Style Transfer. CoRR (2018)
Nabiha Asghar, Pascal Poupart, Jesse Hoey, Xin Jiang, Lili Mou
Affective Neural Response Generation. ECIR (2018)
Hareesh Bahuleyan, Lili Mou, Olga Vechtomova, Pascal Poupart
Variational Attention for Sequence-to-Sequence Models. COLING (2018)
Ning Miao, Hao Zhou, Lili Mou, Rui Yan, Lei Li
CGMH: Constrained Sentence Generation by Metropolis-Hastings Sampling. CoRR (2018)
Xianggen Liu, Lili Mou, Haotian Cui, Zhengdong Lu, Sen Song
JUMPER: Learning When to Make Classification Decisions in Reading. CoRR (2018)
Xianggen Liu, Lili Mou, Haotian Cui, Zhengdong Lu, Sen Song
Jumper: Learning When to Make Classification Decision in Reading. IJCAI (2018)
Zhao Meng, Lili Mou, Zhi Jin
Towards Neural Speaker Modeling in Multi-Party Conversation: The Task, Dataset, and Models. LREC (2018)
Zeyu Sun, Qihao Zhu, Lili Mou, Yingfei Xiong, Ge Li, Lu Zhang
A Grammar-Based Structural CNN Decoder for Code Generation. CoRR (2018)
Zhao Meng, Lili Mou, Zhi Jin
Towards Neural Speaker Modeling in Multi-Party Conversation: The Task, Dataset, and Models. AAAI (2018)
Hareesh Bahuleyan, Lili Mou, Kartik Vamaraju, Hao Zhou, Olga Vechtomova
Probabilistic Natural Language Generation with Wasserstein Autoencoders. CoRR (2018)
Zaixiang Zheng, Hao Zhou, Shujian Huang, Lili Mou, Xinyu Dai, Jiajun Chen, Zhaopeng Tu
Modeling Past and Future for Neural Machine Translation. Trans. Assoc. Comput. Linguistics 6 (2018)
Nabiha Asghar, Lili Mou, Kira A. Selby, Kevin D. Pantasdo, Pascal Poupart, Xin Jiang
Progressive Memory Banks for Incremental Domain Adaptation. CoRR (2018)

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Publication Activity (10 Years)

Top Topics

Top Venues

Lili Mou