 BOLD: Dataset and Metrics for Measuring Biases in Open-Ended Language
GenerationConference on Fairness, Accountability and Transparency (FAccT), 2021 |
 Belief-based Generation of Argumentative ClaimsConference of the European Chapter of the Association for Computational Linguistics (EACL), 2021 |
 Implicit Unlikelihood Training: Improving Neural Text Generation with
Reinforcement LearningConference of the European Chapter of the Association for Computational Linguistics (EACL), 2021 |
 Compound Word Transformer: Learning to Compose Full-Song Music over
Dynamic Directed HypergraphsAAAI Conference on Artificial Intelligence (AAAI), 2021 |
 Polyjuice: Generating Counterfactuals for Explaining, Evaluating, and
Improving ModelsAnnual Meeting of the Association for Computational Linguistics (ACL), 2021 |
 Prefix-Tuning: Optimizing Continuous Prompts for GenerationAnnual Meeting of the Association for Computational Linguistics (ACL), 2021 Xiang Lisa Li Abigail Z. Jacobs |
 Graphmax for Text GenerationJournal of Artificial Intelligence Research (JAIR), 2021 |
 Deep Graph Generators: A SurveyIEEE Access (IEEE Access), 2020 |
 AraGPT2: Pre-Trained Transformer for Arabic Language GenerationWorkshop on Arabic Natural Language Processing (WANLP), 2020 |
 Reducing conversational agents' overconfidence through linguistic
calibrationTransactions of the Association for Computational Linguistics (TACL), 2020 |
 RADDLE: An Evaluation Benchmark and Analysis Platform for Robust
Task-oriented Dialog SystemsAnnual Meeting of the Association for Computational Linguistics (ACL), 2020 |
 Few-Shot Text Generation with Pattern-Exploiting TrainingConference on Empirical Methods in Natural Language Processing (EMNLP), 2020 |
 A Distributional Approach to Controlled Text GenerationInternational Conference on Learning Representations (ICLR), 2020 |
 SceneFormer: Indoor Scene Generation with TransformersInternational Conference on 3D Vision (3DV), 2020 |
 Towards Neural Programming InterfacesNeural Information Processing Systems (NeurIPS), 2020 |
 Data Boost: Text Data Augmentation Through Reinforcement Learning Guided
Conditional GenerationConference on Empirical Methods in Natural Language Processing (EMNLP), 2020 |
 Facilitating the Communication of Politeness through Fine-Grained
ParaphrasingConference on Empirical Methods in Natural Language Processing (EMNLP), 2020 |
 Generating Intelligible Plumitifs Descriptions: Use Case Application
with Ethical ConsiderationsInternational Conference on Natural Language Generation (INLG), 2020 |
 Learning from Task DescriptionsConference on Empirical Methods in Natural Language Processing (EMNLP), 2020 |
 Automatic Detection of Machine Generated Text: A Critical SurveyInternational Conference on Computational Linguistics (COLING), 2020 |
 Decentralized Attribution of Generative ModelsInternational Conference on Learning Representations (ICLR), 2020 |
 Text Editing by CommandNorth American Chapter of the Association for Computational Linguistics (NAACL), 2020 |
 CaM-Gen:Causally-aware Metric-guided Text GenerationFindings (Findings), 2020 |
 Char2Subword: Extending the Subword Embedding Space Using Robust
Character CompositionalityConference on Empirical Methods in Natural Language Processing (EMNLP), 2020 |
 Synthetic Data Augmentation for Zero-Shot Cross-Lingual Question
AnsweringConference on Empirical Methods in Natural Language Processing (EMNLP), 2020 |
 Generating Long Financial Report using Conditional Variational
Autoencoders with Knowledge DistillationIEEE Transactions on Artificial Intelligence (IEEE TAI), 2020 |
 Substance over Style: Document-Level Targeted Content TransferConference on Empirical Methods in Natural Language Processing (EMNLP), 2020 |
 Plan ahead: Self-Supervised Text Planning for Paragraph Completion TaskConference on Empirical Methods in Natural Language Processing (EMNLP), 2020 |
