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Diversifying Language Generated by Deep Learning Models in Dialogue Systems. University of California, Santa Cruz, USA, (2022)ViGGO: A Video Game Corpus for Data-To-Text Generation in Open-Domain Conversation., , and . INLG, page 164-172. Association for Computational Linguistics, (2019)Pinpoint, Not Criticize: Refining Large Language Models via Fine-Grained Actionable Feedback., , , , , , , , and . CoRR, (2023)Training and Meta-Evaluating Machine Translation Evaluation Metrics at the Paragraph Level., , , and . WMT, page 996-1013. Association for Computational Linguistics, (2023)GEMv2: Multilingual NLG Benchmarking in a Single Line of Code., , , , , , , , , and 66 other author(s). CoRR, (2022)Barriers to Effective Evaluation of Simultaneous Interpretation., , , , , and . EACL (Findings), page 209-219. Association for Computational Linguistics, (2024)A Deep Ensemble Model with Slot Alignment for Sequence-to-Sequence Natural Language Generation., , , and . NAACL-HLT, page 152-162. Association for Computational Linguistics, (2018)MetricX-23: The Google Submission to the WMT 2023 Metrics Shared Task., , , , , and . WMT, page 756-767. Association for Computational Linguistics, (2023)Athena: Constructing Dialogues Dynamically with Discourse Constraints., , , , , , , , , and 4 other author(s). CoRR, (2020)Characterizing Variation in Crowd-Sourced Data for Training Neural Language Generators to Produce Stylistically Varied Outputs., and . INLG, page 441-450. Association for Computational Linguistics, (2018)