Lili Mou

KETCHUP: K-Step Return Estimation for Sequential Knowledge Distillation EACL 2026 Ultra-Low-Dimensional Prompt Tuning via Random Projection EACL 2026 RL-PLUS: Countering Capability Boundary Collapse of LLMs in Reinforcement Learning with Hybrid-policy Optimization ACL 2026 VEG: Verbal 𝜖-greedy for Semantic Exploration in Multi-Turn RL Agents ACL 2026 Revisiting Intermediate-Layer Matching in Knowledge Distillation: Layer-Selection Strategy Doesn’t Matter (Much) AACL 2025 EBBS: An Ensemble with Bi-Level Beam Search for Zero-Shot Machine Translation AAAI 2025 Error Diversity Matters: An Error-Resistant Ensemble Method for Unsupervised Dependency Parsing AAAI 2025 Knowledge Distillation for Language Models NAACL 2025 Revisiting Intermediate-Layer Matching in Knowledge Distillation: Layer-Selection Strategy Doesn’t Matter (Much) IJCNLP 2025 Feeding Two Birds or Favoring One? Adequacy–Fluency Tradeoffs in Evaluation and Meta-Evaluation of Machine Translation EMNLP 2025 Zero-Shot Continuous Prompt Transfer: Generalizing Task Semantics Across Language Models ICLR 2024 Tree-Averaging Algorithms for Ensemble-Based Unsupervised Discontinuous Constituency Parsing ACL 2024 Flora: Low-Rank Adapters Are Secretly Gradient Compressors ICML 2024 Ensemble Distillation for Unsupervised Constituency Parsing ICLR 2024 A Decoding Algorithm for Length-Control Summarization Based on Directed Acyclic Transformers EMNLP 2024 LLMR: Knowledge Distillation with a Large Language Model-Induced Reward COLING 2024 Claim-Centric and Sentiment Guided Graph Attention Network for Rumour Detection COLING 2024 A Dual-View Approach to Classifying Radiology Reports by Co-Training COLING 2024 Prompt-Based Editing for Text Style Transfer EMNLP 2023 Multilingual Non-Autoregressive Machine Translation without Knowledge Distillation AACL 2023 An Equal-Size Hard EM Algorithm for Diverse Dialogue Generation ICLR 2023 Weakly Supervised Explainable Phrasal Reasoning with Neural Fuzzy Logic ICLR 2023 Multilingual Non-Autoregressive Machine Translation without Knowledge Distillation IJCNLP 2023 f-Divergence Minimization for Sequence-Level Knowledge Distillation ACL 2023 Non-autoregressive Translation with Layer-Wise Prediction and Deep Supervision AAAI 2022 Search and Learn: Improving Semantic Coverage for Data-to-Text Generation AAAI 2022 Teacher Forcing Recovers Reward Functions for Text Generation NIPS 2022 A Character-Level Length-Control Algorithm for Non-Autoregressive Sentence Summarization NIPS 2022 Learning Non-Autoregressive Models from Search for Unsupervised Sentence Summarization ACL 2022 Document-Level Relation Extraction with Sentences Importance Estimation and Focusing NAACL 2022 Generalized Equivariance and Preferential Labeling for GNN Node Classification AAAI 2022 A Globally Normalized Neural Model for Semantic Parsing ACL 2021 Seq2Emo: A Sequence to Multi-Label Emotion Classification Model NAACL 2021 A Globally Normalized Neural Model for Semantic Parsing IJCNLP 2021 Unsupervised Chunking as Syntactic Structure Induction with a Knowledge-Transfer Approach EMNLP 2021 Unsupervised Paraphrasing by Simulated Annealing ACL 2020 Unsupervised Text Generation by Learning from Search NIPS 2020 Discrete Optimization for Unsupervised Sentence Summarization with Word-Level Extraction ACL 2020 Formality Style Transfer with Shared Latent Space COLING 2020 Progressive Memory Banks for Incremental Domain Adaptation ICLR 2020 Improving Word Sense Disambiguation with Translations EMNLP 2020 Adversarial Learning on the Latent Space for Diverse Dialog Generation COLING 2020 Stylized Text Generation: Approaches and Applications ACL 2020 Iterative Edit-Based Unsupervised Sentence Simplification ACL 2020 TreeGen: A Tree-Based Transformer Architecture for Code Generation AAAI 2020 Stochastic Wasserstein Autoencoder for Probabilistic Sentence Generation NAACL 2019 CGMH: Constrained Sentence Generation by Metropolis-Hastings Sampling AAAI 2019 A Grammar-Based Structural CNN Decoder for Code Generation AAAI 2019 Disentangled Representation Learning for Non-Parallel Text Style Transfer ACL 2019 An Imitation Learning Approach to Unsupervised Parsing ACL 2019 Generating Sentences from Disentangled Syntactic and Semantic Spaces ACL 2019 Harnessing Pre-Trained Neural Networks with Rules for Formality Style Transfer EMNLP 2019 Discreteness in Neural Natural Language Processing EMNLP 2019 Harnessing Pre-Trained Neural Networks with Rules for Formality Style Transfer IJCNLP 2019 Discreteness in Neural Natural Language Processing IJCNLP 2019 Jumper: Learning When to Make Classification Decision in Reading IJCAI 2018 Variational Attention for Sequence-to-Sequence Models COLING 2018 Coupling Distributed and Symbolic Execution for Natural Language Queries ICML 2017 How to Make Context More Useful? An Empirical Study on Context-Aware Neural Conversational Models ACL 2017 Compressing Neural Language Models by Sparse Word Representations ACL 2016 StalemateBreaker: A Proactive Content-Introducing Approach to Automatic Human-Computer Conversation IJCAI 2016 How Transferable are Neural Networks in NLP Applications? EMNLP 2016 Dialogue Session Segmentation by Embedding-Enhanced TextTiling INTERSPEECH 2016 Sequence to Backward and Forward Sequences: A Content-Introducing Approach to Generative Short-Text Conversation COLING 2016 Improved relation classification by deep recurrent neural networks with data augmentation COLING 2016 Natural Language Inference by Tree-Based Convolution and Heuristic Matching ACL 2016 Classifying Relations via Long Short Term Memory Networks along Shortest Dependency Paths EMNLP 2015 A Comparative Study on Regularization Strategies for Embedding-based Neural Networks EMNLP 2015 Discriminative Neural Sentence Modeling by Tree-Based Convolution EMNLP 2015