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What is wrong with you?: Leveraging User Sentiment for Automatic Dialog Evaluation.

, , , , and . ACL (Findings), page 4194-4204. Association for Computational Linguistics, (2022)

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Plot-guided Adversarial Example Construction for Evaluating Open-domain Story Generation., , , , , and . NAACL-HLT, page 4334-4344. Association for Computational Linguistics, (2021)Modeling Dialogues with Hashcode Representations: A Nonparametric Approach., , , , , , , and . AAAI, page 3970-3979. AAAI Press, (2020)Predictive Engagement: An Efficient Metric for Automatic Evaluation of Open-Domain Dialogue Systems., , , and . AAAI, page 7789-7796. AAAI Press, (2020)Dialogue Modeling Via Hash Functions., , , , , , , and . LaCATODA@IJCAI, volume 2202 of CEUR Workshop Proceedings, page 24-36. CEUR-WS.org, (2018)DEAM: Dialogue Coherence Evaluation using AMR-based Semantic Manipulations., , , and . ACL (1), page 771-785. Association for Computational Linguistics, (2022)MERCY: Multiple Response Ranking Concurrently in Realistic Open-Domain Conversational Systems., , , , , , and . SIGDIAL, page 615-631. Association for Computational Linguistics, (2023)ParsiNLU: A Suite of Language Understanding Challenges for Persian., , , , , , , , , and 15 other author(s). Trans. Assoc. Comput. Linguistics, (2021)Beyond the Imitation Game: Quantifying and extrapolating the capabilities of language models., , , , , , , , , and 440 other author(s). CoRR, (2022)Beyond the Imitation Game: Quantifying and extrapolating the capabilities of language models., , , , , , , , , and 440 other author(s). Trans. Mach. Learn. Res., (2023)Better Automatic Evaluation of Open-Domain Dialogue Systems with Contextualized Embeddings., , , and . CoRR, (2019)