Rapid Syntactic Adaptation in Self-Paced Reading: Detectable, but Only With Many Participants von Prasad, Grusha, Linzen, Tal

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Large-scale benchmark yields no evidence that language model surprisal explains syntactic disambiguation difficulty von Huang, Kuan-Jung, Arehalli, Suhas, Kugemoto, Mari, Muxica, Christian, Prasad, Grusha, Dillon, Brian, Linzen, Tal

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Training an NLP Scholar at a Small Liberal Arts College: A Backwards Designed Course Proposal von Prasad, Grusha, Davis, Forrest

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SPAWNing Structural Priming Predictions from a Cognitively Motivated Parser von Prasad, Grusha, Linzen, Tal

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SPAWNing Structural Priming Predictions from a Cognitively Motivated Parser von Prasad, Grusha, Linzen, Tal

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Training an NLP Scholar at a Small Liberal Arts College: A Backwards Designed Course Proposal von Prasad, Grusha, Davis, rest

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Can training neural language models on a curriculum with developmentally plausible data improve alignment with human reading behavior? von Chobey, Aryaman, Smith, Oliver, Wang, Anzi, Prasad, Grusha

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Using Priming to Uncover the Organization of Syntactic Representations in Neural Language Models von Prasad, Grusha, van Schijndel, Marten, Linzen, Tal

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Counterfactual Interventions Reveal the Causal Effect of Relative Clause Representations on Agreement Prediction von Ravfogel, Shauli, Prasad, Grusha, Linzen, Tal, Goldberg, Yoav

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Can training neural language models on a curriculum with developmentally plausible data improve alignment with human reading behavior? von Chobey, Aryaman, Smith, Oliver, Wang, Anzi, Prasad, Grusha

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To what extent do human explanations of model behavior align with actual model behavior? von Prasad, Grusha, Nie, Yixin, Bansal, Mohit, Jia, Robin, Kiela, Douwe, Williams, Adina

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Counterfactual Interventions Reveal the Causal Effect of Relative Clause Representations on Agreement Prediction von Ravfogel, Shauli, Prasad, Grusha, Linzen, Tal, Goldberg, Yoav

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Using Priming to Uncover the Organization of Syntactic Representations in Neural Language Models von Prasad, Grusha, Marten van Schijndel, Linzen, Tal

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Dynabench: Rethinking Benchmarking in NLP von Kiela, Douwe, Bartolo, Max, Nie, Yixin, Kaushik, Divyansh, Geiger, Atticus, Wu, Zhengxuan, Vidgen, Bertie, Prasad, Grusha, Singh, Amanpreet, Ringshia, Pratik, Ma, Zhiyi, Thrush, Tristan, Riedel, Sebastian, Waseem, Zeerak, Stenetorp, Pontus, Jia, Robin, Bansal, Mohit, Potts, Christopher, Williams, Adina

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Dynabench: Rethinking Benchmarking in NLP von Kiela, Douwe, Bartolo, Max, Nie, Yixin, Kaushik, Divyansh, Geiger, Atticus, Wu, Zhengxuan, Vidgen, Bertie, Prasad, Grusha, Singh, Amanpreet, Ringshia, Pratik, Ma, Zhiyi, Thrush, Tristan, Riedel, Sebastian, Waseem, Zeerak, Stenetorp, Pontus, Jia, Robin, Bansal, Mohit, Potts, Christopher, Williams, Adina

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To what extent do human explanations of model behavior align with actual model behavior? von Prasad, Grusha, Nie, Yixin, Bansal, Mohit, Jia, Robin, Kiela, Douwe, Williams, Adina

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Dynabench: Rethinking Benchmarking in NLP von Kiela, Douwe, Bartolo, Max, Nie, Yixin, Kaushik, Divyansh, Geiger, Atticus, Wu, Zhengxuan, Vidgen, Bertie, Prasad, Grusha, Singh, Amanpreet, Ringshia, Pratik, Ma, Zhiyi, Thrush, Tristan, Riedel, Sebastian, Zeerak Waseem, Stenetorp, Pontus, Jia, Robin, Bansal, Mohit, Potts, Christopher, Williams, Adina

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