| Dynabench: Rethinking benchmarking in NLP D Kiela, M Bartolo, Y Nie, D Kaushik, A Geiger, Z Wu, B Vidgen, G Prasad, ... arXiv preprint arXiv:2104.14337, 2021 | 396 | 2021 |
| Using priming to uncover the organization of syntactic representations in neural language models G Prasad arXiv preprint arXiv:1909.10579, 2019 | 68 | 2019 |
| Counterfactual interventions reveal the causal effect of relative clause representations on agreement prediction S Ravfogel, G Prasad, T Linzen, Y Goldberg arXiv preprint arXiv:2105.06965, 2021 | 64 | 2021 |
| Rapid syntactic adaptation in self-paced reading: Detectable, but only with many participants. G Prasad, T Linzen Journal of Experimental Psychology: Learning, Memory, and Cognition 47 (7), 1156, 2021 | 51* | 2021 |
| To what extent do human explanations of model behavior align with actual model behavior? G Prasad, Y Nie, M Bansal, R Jia, D Kiela, A Williams arXiv preprint arXiv:2012.13354, 2020 | 25 | 2020 |
| Surprisal does not explain syntactic disambiguation difficulty: evidence from a large-scale benchmark KJ Huang, S Arehalli, M Kugemoto, C Muxica, G Prasad, B Dillon, ... PsyArXiv, 2023 | 16 | 2023 |
| Large-scale benchmark yields no evidence that language model surprisal explains syntactic disambiguation difficulty KJ Huang, S Arehalli, M Kugemoto, C Muxica, G Prasad, B Dillon, ... Journal of Memory and Language 137, 104510, 2024 | 15 | 2024 |
| The P600 for singular “they”: How the brain reacts when John decides to treat themselves to sushi. G Prasad, J Morris PsyArXiv, 2018 | 15 | 2018 |
| Do self-paced reading studies provide evidence for rapid syntactic adaptation G Prasad, T Linzen PsyArXiv preprint PsyArXiv: 10.31234/osf. io/9ptg4, 2019 | 14 | 2019 |
| Can training neural language models on a curriculum with developmentally plausible data improve alignment with human reading behavior? A Chobey, O Smith, A Wang, G Prasad arXiv preprint arXiv:2311.18761, 2023 | 5 | 2023 |
| How much harder are hard garden-path sentences than easy ones? G Prasad, T Linzen CogSci, 3339, 2019 | 5 | 2019 |
| SPR mega-benchmark shows surprisal tracks construction-but not item-level difficulty KJ Huang, S Arehalli, M Kugemoto, C Muxica, G Prasad, B Dillon, ... 35th Annual Conference on Human Sentence Processing, Santa Cruz, California …, 2022 | 4 | 2022 |
| Reassessing the evidence for syntactic adaptation from self-paced reading studies G Prasad, T Linzen Poster Session, 32nd CUNY Conference on Human Sentence Processing, Boulder …, 2019 | 4 | 2019 |
| SPAWNing Structural Priming Predictions from a Cognitively Motivated Parser G Prasad, T Linzen arXiv preprint arXiv:2403.07202, 2024 | 2 | 2024 |
| The P600 for Singular'they': How the Brain Reacts when John Decides to Treat Themselves to Sushi G Prasad Hampshire College, 2017 | 2 | 2017 |
| Training an NLP Scholar at a Small Liberal Arts College: A Backwards Designed Course Proposal G Prasad, F Davis arXiv preprint arXiv:2408.05664, 2024 | | 2024 |
| The Promises and Pitfalls of Large Language Models for Science and Society A Kim, G Prasad 2024 AAAS Annual Meeting, 2024 | | 2024 |
| The Syntactic Ambiguity Processing Benchmark (Phase 1): Self-paced reading in English M Kugemoto, B Dillon, T Linzen, G Prasad, S Arehalli, KJ Huang OSF, 2021 | | 2021 |
| SPAWNing priming predictions with an uncertainty-based reanalysis mechanism reveals distinct representations of reduced and full relative clauses in English. G Prasad, T Linzen | | |
| Prolific vs. MTurk: Differences in overall reading times and accuracy, but not effect sizes. G Prasad, O Fargally | | |
