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Natural Language Generation at Scale: A Case Study for Open Domain Question Answering.

, , , , , , and . INLG, page 453-462. Association for Computational Linguistics, (2019)

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Commonsense-Focused Dialogues for Response Generation: An Empirical Study., , , , , , , and . CoRR, (2021)Towards Coherent and Engaging Spoken Dialog Response Generation Using Automatic Conversation Evaluators., , , , , , , and . CoRR, (2019)Investigating the Representation of Open Domain Dialogue Context for Transformer Models., , , , , , , and . SIGDIAL, page 538-547. Association for Computational Linguistics, (2023)Overview of the Ninth Dialog System Technology Challenge: DSTC9., , , , , , , , , and 28 other author(s). CoRR, (2020)"How Robust R U?": Evaluating Task-Oriented Dialogue Systems on Spoken Conversations., , , , , , and . ASRU, page 1147-1154. IEEE, (2021)Rome was built in 1776: A Case Study on Factual Correctness in Knowledge-Grounded Response Generation., , , , , , and . CoRR, (2021)Policy-Driven Neural Response Generation for Knowledge-Grounded Dialogue Systems., , , , , and . CoRR, (2020)Topical-Chat: Towards Knowledge-Grounded Open-Domain Conversations., , , , , , , and . CoRR, (2023)Natural Language Generation at Scale: A Case Study for Open Domain Question Answering., , , , , , and . INLG, page 453-462. Association for Computational Linguistics, (2019)What is wrong with you?: Leveraging User Sentiment for Automatic Dialog Evaluation., , , , and . ACL (Findings), page 4194-4204. Association for Computational Linguistics, (2022)