← Authors

Lili Mou

67 papers · 2015–2026 · 13 conferences · across top CS/AI conferences

Achievements

🌍 Conference Polyglot (12) 🐝 Cross-Pollinator (14) 🧭 Keyword Pioneer πŸ—ΊοΈ Taxonomy Completionist (89) πŸŒ‰ Interdisciplinary Bridge 🐣 Hot Topic Early Bird 🌈 Renaissance Researcher (8) πŸƒ Academic Marathon (10) 🌟 Keyword Trendsetter Combo (4) 🀝 Dynamic Duo (10) πŸ† Grand Slam 🧬 Topic Evolution πŸ† Keyword Champion (2) πŸ“ˆ Trend Setter πŸ—ƒοΈ Keyword Collector (210) πŸš€ Conference Pioneer ❓ The Questioner (3) ⚑ Prolific Year (10) πŸ”₯ Unstoppable (11) πŸ’Ž Century Club (64)

Conferences

ACL (14) EMNLP (11) AAAI (8) COLING (8) ICLR (5) IJCNLP (5) NAACL (4) NIPS (3) AACL (2) EACL (2) ICML (2) IJCAI (2) INTERSPEECH (1)

Top co-authors

Hao Zhou (10) Zhi Jin (9) Chenyang Huang (9) Ge Li (9) Olga Vechtomova (8) Lu Zhang (7) Rui Yan (7) Yuqiao Wen (7) Yanshuai Cao (6) Osmar ZaΓ―ane (6)

Research topics

Probability (1)

Keywords

text generation (8) knowledge distillation (7) model compression (6) neural network (5) reinforcement learning (5) unsupervised learning (5) text style transfer (4) sentence generation (3) formality style transfer (3) semantic parsing (3) attention mechanism (3) sentence summarization (3) language model (3) adversarial learning (3) machine translation (3) ensemble method (3) latent space (3) text classification (2) code generation (2) unsupervised parsing (2)

Papers

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