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Improving Robustness of Neural Dialog Systems in a Data-Efficient Way with Turn Dropout., and . CoRR, (2018)Hybrid Generative-Retrieval Transformers for Dialogue Domain Adaptation., , , and . CoRR, (2020)TofuEval: Evaluating Hallucinations of LLMs on Topic-Focused Dialogue Summarization., , , , , , , , , and 4 other author(s). CoRR, (2024)Can Your Model Tell a Negation from an Implicature? Unravelling Challenges With Intent Encoders., , , , , , and . CoRR, (2024)Data-Efficient Methods for Dialogue Systems.. CoRR, (2020)Fast Domain Adaptation for Goal-Oriented Dialogue Using a Hybrid Generative-Retrieval Transformer., , , and . ICASSP, page 8039-8043. IEEE, (2020)Semi-Supervised Dialogue Abstractive Summarization via High-Quality Pseudolabel Selection., , , , , and . CoRR, (2024)Few-Shot Dialogue Generation Without Annotated Data: A Transfer Learning Approach., , , and . SIGdial, page 32-39. Association for Computational Linguistics, (2019)Data-Efficient Goal-Oriented Conversation with Dialogue Knowledge Transfer Networks., , , and . EMNLP/IJCNLP (1), page 1741-1751. Association for Computational Linguistics, (2019)Interactional dynamics and the emergence of language games., , and . FADLI@ESSLLI, volume 1863 of CEUR Workshop Proceedings, page 17-21. CEUR-WS.org, (2017)