 LogiGAN: Learning Logical Reasoning via Adversarial Pre-trainingNeural Information Processing Systems (NeurIPS), 2022 |
 ALIGNMEET: A Comprehensive Tool for Meeting Annotation, Alignment, and
EvaluationInternational Conference on Language Resources and Evaluation (LREC), 2022 |
 UL2: Unifying Language Learning ParadigmsInternational Conference on Learning Representations (ICLR), 2022 |
 An End-to-End Dialogue Summarization System for Sales CallsNorth American Chapter of the Association for Computational Linguistics (NAACL), 2022 |
 Back to the Future: Bidirectional Information Decoupling Network for
Multi-turn Dialogue ModelingConference on Empirical Methods in Natural Language Processing (EMNLP), 2022 |
 UniDU: Towards A Unified Generative Dialogue Understanding FrameworkSIGDIAL Conferences (SIGDIAL), 2022 |
 Domain-Oriented Prefix-Tuning: Towards Efficient and Generalizable
Fine-tuning for Zero-Shot Dialogue SummarizationNorth American Chapter of the Association for Computational Linguistics (NAACL), 2022 |
 Knowledge Infused DecodingInternational Conference on Learning Representations (ICLR), 2022 |
 A Survey on Cross-Lingual SummarizationTransactions of the Association for Computational Linguistics (TACL), 2022 |
 Learning-by-Narrating: Narrative Pre-Training for Zero-Shot Dialogue
ComprehensionAnnual Meeting of the Association for Computational Linguistics (ACL), 2022 |
 Repairing the Cracked Foundation: A Survey of Obstacles in Evaluation
Practices for Generated TextJournal of Artificial Intelligence Research (JAIR), 2022 |
 ClidSum: A Benchmark Dataset for Cross-Lingual Dialogue SummarizationConference on Empirical Methods in Natural Language Processing (EMNLP), 2022 |
 Survey of Hallucination in Natural Language GenerationACM Computing Surveys (ACM CSUR), 2022 |
 On Transferability of Prompt Tuning for Natural Language ProcessingNorth American Chapter of the Association for Computational Linguistics (NAACL), 2021 |
 Reason first, then respond: Modular Generation for Knowledge-infused
DialogueConference on Empirical Methods in Natural Language Processing (EMNLP), 2021 |
 Controllable Neural Dialogue Summarization with Personal Named Entity
PlanningConference on Empirical Methods in Natural Language Processing (EMNLP), 2021 Zhengyuan Liu Nancy F. Chen |
 Topic-Aware Contrastive Learning for Abstractive Dialogue SummarizationConference on Empirical Methods in Natural Language Processing (EMNLP), 2021 |
 Does Pretraining for Summarization Require Knowledge Transfer?Conference on Empirical Methods in Natural Language Processing (EMNLP), 2021 |
 An Exploratory Study on Long Dialogue Summarization: What Works and
What's NextConference on Empirical Methods in Natural Language Processing (EMNLP), 2021 |
 Low-Resource Dialogue Summarization with Domain-Agnostic Multi-Source
PretrainingConference on Empirical Methods in Natural Language Processing (EMNLP), 2021 |
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 CSDS: A Fine-Grained Chinese Dataset for Customer Service Dialogue
SummarizationConference on Empirical Methods in Natural Language Processing (EMNLP), 2021 |
 SummerTime: Text Summarization Toolkit for Non-expertsConference on Empirical Methods in Natural Language Processing (EMNLP), 2021 |
 Hierarchical Summarization for Longform Spoken DialogACM Symposium on User Interface Software and Technology (UIST), 2021 |
 EmailSum: Abstractive Email Thread SummarizationAnnual Meeting of the Association for Computational Linguistics (ACL), 2021 |
 Beyond Goldfish Memory: Long-Term Open-Domain ConversationAnnual Meeting of the Association for Computational Linguistics (ACL), 2021 |
 LoRA: Low-Rank Adaptation of Large Language ModelsInternational Conference on Learning Representations (ICLR), 2021 |
