| 2026 | ACL | Multi-Persona Thinking for Bias Mitigation in Large Language Models. | Yuxing Chen, Guoqing Luo, Zijun Wu, Lili Mou |
| 2026 | ACL | RL-PLUS: Countering Capability Boundary Collapse of LLMs in Reinforcement Learning with Hybrid-policy Optimization. | Yihong Dong, Xue Jiang, Yongding Tao, Huanyu Liu, Kechi Zhang, Lili Mou, Rongyu Cao, Yingwei Ma, Jue Chen, Binhua Li, Zhi Jin, Fei Huang, Yongbin Li, Ge Li |
| 2026 | ACL | IntentCoding: Amplifying User Intent in Code Generation. | Zheng Fang, Yihong Dong, Lili Mou, Dongming Jin, Zhi Jin, Ge Li |
| 2026 | ACL | VEG: Verbal ε-greedy for Semantic Exploration in Multi-Turn RL Agents. | Yongchang Hao, Jie Hao, Yongsheng Mei, Ze Ye, Junyi Chai, Bin Guo, Benjamin Z. Yao, Chenlei Guo, Lili Mou |
| 2026 | EACL | KETCHUP: K-Step Return Estimation for Sequential Knowledge Distillation. | Jiabin Fan, Guoqing Luo, Michael Bowling, Lili Mou |
| 2026 | EACL | Ultra-Low-Dimensional Prompt Tuning via Random Projection. | Zijun Wu, Yongchang Hao, Lili Mou |
| 2025 | AAAI | Error Diversity Matters: An Error-Resistant Ensemble Method for Unsupervised Dependency Parsing. | Behzad Shayegh, Hobie H.-B. Lee, Xiaodan Zhu, Jackie Chi Kit Cheung, Lili Mou |
| 2025 | AAAI | EBBS: An Ensemble with Bi-Level Beam Search for Zero-Shot Machine Translation. | Yuqiao Wen, Behzad Shayegh, Chenyang Huang, Yanshuai Cao, Lili Mou |
| 2025 | IJCNLP | Revisiting Intermediate-Layer Matching in Knowledge Distillation: Layer-Selection Strategy Doesn't Matter (Much). | Zony Yu, Yuqiao Wen, Lili Mou |
| 2024 | ACL | Tree-Averaging Algorithms for Ensemble-Based Unsupervised Discontinuous Constituency Parsing. | Behzad Shayegh, Yuqiao Wen, Lili Mou |
| 2024 | COLING | A Dual-View Approach to Classifying Radiology Reports by Co-Training. | Yutong Han, Yan Yuan, Lili Mou |
| 2024 | COLING | LLMR: Knowledge Distillation with a Large Language Model-Induced Reward. | Dongheng Li, Yongchang Hao, Lili Mou |
| 2024 | COLING | Claim-Centric and Sentiment Guided Graph Attention Network for Rumour Detection. | Sajad Ramezani, Mauajama Firdaus, Lili Mou |
| 2024 | EMNLP | A Decoding Algorithm for Length-Control Summarization Based on Directed Acyclic Transformers. | Chenyang Huang, Hao Zhou, Cameron Jen, Kangjie Zheng, Osmar R. Zaane, Lili Mou |
| 2024 | ICLR | Ensemble Distillation for Unsupervised Constituency Parsing. | Behzad Shayegh, Yanshuai Cao, Xiaodan Zhu, Jackie C. K. Cheung, Lili Mou |
| 2024 | ICLR | Zero-Shot Continuous Prompt Transfer: Generalizing Task Semantics Across Language Models. | Zijun Wu, Yongkang Wu, Lili Mou |
| 2024 | ICML | Flora: Low-Rank Adapters Are Secretly Gradient Compressors. | Yongchang Hao, Yanshuai Cao, Lili Mou |
| 2023 | ACL | f-Divergence Minimization for Sequence-Level Knowledge Distillation. | Yuqiao Wen, Zichao Li, Wenyu Du, Lili Mou |
| 2023 | EMNLP | Prompt-Based Editing for Text Style Transfer. | Guoqing Luo, Yutong Han, Lili Mou, Mauajama Firdaus |
| 2023 | ICLR | An Equal-Size Hard EM Algorithm for Diverse Dialogue Generation. | Yuqiao Wen, Yongchang Hao, Yanshuai Cao, Lili Mou |
| 2023 | ICLR | Weakly Supervised Explainable Phrasal Reasoning with Neural Fuzzy Logic. | Zijun Wu, Zi Xuan Zhang, Atharva Naik, Zhijian Mei, Mauajama Firdaus, Lili Mou |
| 2023 | IJCNLP | Multilingual Non-Autoregressive Machine Translation without Knowledge Distillation. | Chenyang Huang, Fei Huang, Zaixiang Zheng, Osmar Zaane, Hao Zhou, Lili Mou |
| 2022 | AAAI | Non-autoregressive Translation with Layer-Wise Prediction and Deep Supervision. | Chenyang Huang, Hao Zhou, Osmar R. Zaane, Lili Mou, Lei Li |
| 2022 | AAAI | Generalized Equivariance and Preferential Labeling for GNN Node Classification. | Zeyu Sun, Wenjie Zhang, Lili Mou, Qihao Zhu, Yingfei Xiong, Lu Zhang |
| 2022 | AAAI | Search and Learn: Improving Semantic Coverage for Data-to-Text Generation. | Shailza Jolly, Zi Xuan Zhang, Andreas Dengel, Lili Mou |
| 2022 | ACL | Learning Non-Autoregressive Models from Search for Unsupervised Sentence Summarization. | Puyuan Liu, Chenyang Huang, Lili Mou |
| 2022 | LREC | An Empirical Study on the Overlapping Problem of Open-Domain Dialogue Datasets. | Yuqiao Wen, Guoqing Luo, Lili Mou |
| 2022 | NAACL | Document-Level Relation Extraction with Sentences Importance Estimation and Focusing. | Wang Xu, Kehai Chen, Lili Mou, Tiejun Zhao |
| 2022 | WWW | MBCT: Tree-Based Feature-Aware Binning for Individual Uncertainty Calibration. | Siguang Huang, Yunli Wang, Lili Mou, Huayue Zhang, Han Zhu, Chuan Yu, Bo Zheng |
| 2021 | CIKM | Simulated Annealing for Emotional Dialogue Systems. | Chengzhang Dong, Chenyang Huang, Osmar Zaane, Lili Mou |
| 2021 | EMNLP | Unsupervised Chunking as Syntactic Structure Induction with a Knowledge-Transfer Approach. | Anup Anand Deshmukh, Qianqiu Zhang, Ming Li, Jimmy Lin, Lili Mou |
| 2021 | NAACL | Seq2Emo: A Sequence to Multi-Label Emotion Classification Model. | Chenyang Huang, Amine Trabelsi, Xuebin Qin, Nawshad Farruque, Lili Mou, Osmar R. Zaane |
| 2021 | RANLP | Semi-Supervised and Unsupervised Sense Annotation via Translations. | Bradley Hauer, Grzegorz Kondrak, Yixing Luan, Arnob Mallik, Lili Mou |
| 2020 | AAAI | TreeGen: A Tree-Based Transformer Architecture for Code Generation. | Zeyu Sun, Qihao Zhu, Yingfei Xiong, Yican Sun, Lili Mou, Lu Zhang |
| 2020 | ACL | Iterative Edit-Based Unsupervised Sentence Simplification. | Dhruv Kumar, Lili Mou, Lukasz Golab, Olga Vechtomova |
| 2020 | ACL | Unsupervised Paraphrasing by Simulated Annealing. | Xianggen Liu, Lili Mou, Fandong Meng, Hao Zhou, Jie Zhou, Sen Song |
| 2020 | ACL | Stylized Text Generation: Approaches and Applications. | Lili Mou, Olga Vechtomova |
| 2020 | ACL | Discrete Optimization for Unsupervised Sentence Summarization with Word-Level Extraction. | Raphael Schumann, Lili Mou, Yao Lu, Olga Vechtomova, Katja Markert |
| 2020 | COLING | Adversarial Learning on the Latent Space for Diverse Dialog Generation. | Kashif Khan, Gaurav Sahu, Vikash Balasubramanian, Lili Mou, Olga Vechtomova |
| 2020 | COLING | Formality Style Transfer with Shared Latent Space. | Yunli Wang, Yu Wu, Lili Mou, Zhoujun Li, Wen-Han Chao |
| 2020 | EMNLP | Improving Word Sense Disambiguation with Translations. | Yixing Luan, Bradley Hauer, Lili Mou, Grzegorz Kondrak |
| 2020 | ICLR | Progressive Memory Banks for Incremental Domain Adaptation. | Nabiha Asghar, Lili Mou, Kira A. Selby, Kevin D. Pantasdo, Pascal Poupart, Xin Jiang |
| 2019 | AAAI | CGMH: Constrained Sentence Generation by Metropolis-Hastings Sampling. | Ning Miao, Hao Zhou, Lili Mou, Rui Yan, Lei Li |
| 2019 | AAAI | A Grammar-Based Structural CNN Decoder for Code Generation. | Zeyu Sun, Qihao Zhu, Lili Mou, Yingfei Xiong, Ge Li, Lu Zhang |
| 2019 | ACL | Generating Sentences from Disentangled Syntactic and Semantic Spaces. | Yu Bao, Hao Zhou, Shujian Huang, Lei Li, Lili Mou, Olga Vechtomova, Xin-Yu Dai, Jiajun Chen |
| 2019 | ACL | Disentangled Representation Learning for Non-Parallel Text Style Transfer. | Vineet John, Lili Mou, Hareesh Bahuleyan, Olga Vechtomova |
| 2019 | ACL | An Imitation Learning Approach to Unsupervised Parsing. | Bowen Li, Lili Mou, Frank Keller |
| 2019 | EMNLP | Discreteness in Neural Natural Language Processing. | Lili Mou, Hao Zhou, Lei Li |
| 2019 | EMNLP | Harnessing Pre-Trained Neural Networks with Rules for Formality Style Transfer. | Yunli Wang, Yu Wu, Lili Mou, Zhoujun Li, Wenhan Chao |
| 2019 | ICASSP | Why Do Neural Dialog Systems Generate Short and Meaningless Replies? a Comparison between Dialog and Translation. | Bolin Wei, Shuai Lu, Lili Mou, Hao Zhou, Pascal Poupart, Ge Li, Zhi Jin |
| 2019 | NAACL | Stochastic Wasserstein Autoencoder for Probabilistic Sentence Generation. | Hareesh Bahuleyan, Lili Mou, Hao Zhou, Olga Vechtomova |
| 2018 | AAAI | Towards Neural Speaker Modeling in Multi-Party Conversation: The Task, Dataset, and Models. | Zhao Meng, Lili Mou, Zhi Jin |
| 2018 | AAAI | Order-Planning Neural Text Generation From Structured Data. | Lei Sha, Lili Mou, Tianyu Liu, Pascal Poupart, Sujian Li, Baobao Chang, Zhifang Sui |
| 2018 | AAAI | RUBER: An Unsupervised Method for Automatic Evaluation of Open-Domain Dialog Systems. | Chongyang Tao, Lili Mou, Dongyan Zhao, Rui Yan |
| 2018 | COLING | Variational Attention for Sequence-to-Sequence Models. | Hareesh Bahuleyan, Lili Mou, Olga Vechtomova, Pascal Poupart |
| 2018 | ECIR | Affective Neural Response Generation. | Nabiha Asghar, Pascal Poupart, Jesse Hoey, Xin Jiang, Lili Mou |
| 2018 | IJCAI | Jumper: Learning When to Make Classification Decision in Reading. | Xianggen Liu, Lili Mou, Haotian Cui, Zhengdong Lu, Sen Song |
| 2018 | LREC | Towards Neural Speaker Modeling in Multi-Party Conversation: The Task, Dataset, and Models. | Zhao Meng, Lili Mou, Zhi Jin |
| 2017 | ACL | How to Make Context More Useful? An Empirical Study on Context-Aware Neural Conversational Models. | Zhiliang Tian, Rui Yan, Lili Mou, Yiping Song, Yansong Feng, Dongyan Zhao |
| 2017 | CIKM | Hierarchical RNN with Static Sentence-Level Attention for Text-Based Speaker Change Detection. | Zhao Meng, Lili Mou, Zhi Jin |
| 2017 | ICLR | Coupling Distributed and Symbolic Execution for Natural Language Queries. | Lili Mou, Zhengdong Lu, Hang Li, Zhi Jin |
| 2017 | ICML | Coupling Distributed and Symbolic Execution for Natural Language Queries. | Lili Mou, Zhengdong Lu, Hang Li, Zhi Jin |
| 2016 | AAAI | Convolutional Neural Networks over Tree Structures for Programming Language Processing. | Lili Mou, Ge Li, Lu Zhang, Tao Wang, Zhi Jin |
| 2016 | ACL | Compressing Neural Language Models by Sparse Word Representations. | Yunchuan Chen, Lili Mou, Yan Xu, Ge Li, Zhi Jin |
| 2016 | ACL | Natural Language Inference by Tree-Based Convolution and Heuristic Matching. | Lili Mou, Rui Men, Ge Li, Yan Xu, Lu Zhang, Rui Yan, Zhi Jin |
| 2016 | CIKM | Distilling Word Embeddings: An Encoding Approach. | Lili Mou, Ran Jia, Yan Xu, Ge Li, Lu Zhang, Zhi Jin |
| 2016 | COLING | Sequence to Backward and Forward Sequences: A Content-Introducing Approach to Generative Short-Text Conversation. | Lili Mou, Yiping Song, Rui Yan, Ge Li, Lu Zhang, Zhi Jin |
| 2016 | COLING | Improved relation classification by deep recurrent neural networks with data augmentation. | Yan Xu, Ran Jia, Lili Mou, Ge Li, Yunchuan Chen, Yangyang Lu, Zhi Jin |
| 2016 | EMNLP | How Transferable are Neural Networks in NLP Applications? | Lili Mou, Zhao Meng, Rui Yan, Ge Li, Yan Xu, Lu Zhang, Zhi Jin |
| 2016 | IJCAI | StalemateBreaker: A Proactive Content-Introducing Approach to Automatic Human-Computer Conversation. | Xiang Li, Lili Mou, Rui Yan, Ming Zhang |
| 2016 | Interspeech | Dialogue Session Segmentation by Embedding-Enhanced TextTiling. | Yiping Song, Lili Mou, Rui Yan, Li Yi, Zinan Zhu, Xiaohua Hu, Ming Zhang |
| 2016 | KSEM | Context-Aware Tree-Based Convolutional Neural Networks for Natural Language Inference. | Zhao Meng, Lili Mou, Ge Li, Zhi Jin |
| 2015 | EMNLP | Discriminative Neural Sentence Modeling by Tree-Based Convolution. | Lili Mou, Hao Peng, Ge Li, Yan Xu, Lu Zhang, Zhi Jin |
| 2015 | EMNLP | A Comparative Study on Regularization Strategies for Embedding-based Neural Networks. | Hao Peng, Lili Mou, Ge Li, Yunchuan Chen, Yangyang Lu, Zhi Jin |
| 2015 | EMNLP | Classifying Relations via Long Short Term Memory Networks along Shortest Dependency Paths. | Yan Xu, Lili Mou, Ge Li, Yunchuan Chen, Hao Peng, Zhi Jin |
| 2015 | KSEM | Building Program Vector Representations for Deep Learning. | Hao Peng, Lili Mou, Ge Li, Yuxuan Liu, Lu Zhang, Zhi Jin |
| 2014 | KSEM | Verification Based on Hyponymy Hierarchical Characteristics for Web-Based Hyponymy Discovery. | Lili Mou, Ge Li, Zhi Jin, Lu Zhang |
| 2013 | COMPSAC | Domain Hyponymy Hierarchy Discovery by Iterative Web Searching and Inferable Semantics Based Concept Selecting. | Lili Mou, Ge Li, Zhi Jin |
| 2013 | ICSE | MCT: a tool for commenting programs by multimedia comments. | Yiyang Hao, Ge Li, Lili Mou, Lu Zhang, Zhi Jin |
| 2012 | APSEC | Discovering Domain Concepts and Hyponymy Relations by Text Relevance Classifying Based Iterative Web Searching. | Lili Mou, Ge Li, Zhi Jin, Yangyang Lu, Yiyang Hao |