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Neural Generation Meets Real People: Building a Social, Informative Open-Domain Dialogue Agent.

, , , , , , , , , , , , , , , , , , , , and . SIGDIAL, page 376-395. Association for Computational Linguistics, (2022)

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Deep Subjecthood: Higher-Order Grammatical Features in Multilingual BERT., , , and . EACL, page 2522-2532. Association for Computational Linguistics, (2021)Stanford MLab at SemEval-2021 Task 8: 48 Hours Is All You Need., , , and . SemEval@ACL/IJCNLP, page 1245-1248. Association for Computational Linguistics, (2021)ModeLing: A Novel Dataset for Testing Linguistic Reasoning in Language Models., , , , , , , and . SIGTYPE, page 113-119. Association for Computational Linguistics, (2024)Align-Refine: Non-Autoregressive Speech Recognition via Iterative Realignment., , and . NAACL-HLT, page 1920-1927. Association for Computational Linguistics, (2021)GLARE: Generative Left-to-right AdversaRial Examples., , , , and . Eval4NLP, page 44-50. Association for Computational Linguistics, (2022)Beyond the Imitation Game: Quantifying and extrapolating the capabilities of language models., , , , , , , , , and 440 other author(s). CoRR, (2022)SGVAE: Sequential Graph Variational Autoencoder., , and . CoRR, (2019)Stanford MLab at SemEval-2021 Task 1: Tree-Based Modelling of Lexical Complexity using Word Embeddings., , , , , , , , , and . SemEval@ACL/IJCNLP, page 688-693. Association for Computational Linguistics, (2021)Beyond the Imitation Game: Quantifying and extrapolating the capabilities of language models., , , , , , , , , and 440 other author(s). Trans. Mach. Learn. Res., (2023)LINGOLY: A Benchmark of Olympiad-Level Linguistic Reasoning Puzzles in Low-Resource and Extinct Languages., , , , , , , and . CoRR, (2024)