| A systematic assessment of syntactic generalization in neural language models J Hu arXiv preprint arXiv:2005.03692, 2020 | 235 | 2020 |
| On the predictive power of neural language models for human real-time comprehension behavior EG Wilcox arXiv preprint arXiv:2006.01912, 2020 | 180 | 2020 |
| SyntaxGym: An online platform for targeted evaluation of language models J Gauthier, J Hu, E Wilcox, P Qian, R Levy Proceedings of the 58th Annual Meeting of the Association for Computational …, 2020 | 86 | 2020 |
| A fine-grained comparison of pragmatic language understanding in humans and language models J Hu, S Floyd, O Jouravlev, E Fedorenko, E Gibson arXiv preprint arXiv:2212.06801, 2022 | 57 | 2022 |
| Prompting is not a substitute for probability measurements in large language models J Hu, R Levy arXiv preprint arXiv:2305.13264, 2023 | 55* | 2023 |
| Precision fMRI reveals that the language-selective network supports both phrase-structure building and lexical access during language production J Hu, H Small, H Kean, A Takahashi, L Zekelman, D Kleinman, E Ryan, ... Cerebral Cortex 33 (8), 4384-4404, 2023 | 43* | 2023 |
| A rate-distortion view of human pragmatic reasoning N Zaslavsky, J Hu, RP Levy arXiv preprint arXiv:2005.06641, 2020 | 42 | 2020 |
| I cast detect thoughts: Learning to converse and guide with intents and theory-of-mind in dungeons and dragons P Zhou, A Zhu, J Hu, J Pujara, X Ren, C Callison-Burch, Y Choi, ... arXiv preprint arXiv:2212.10060, 2022 | 31* | 2022 |
| Pragmatics in language grounding: Phenomena, tasks, and modeling approaches D Fried, N Tomlin, J Hu, R Patel, A Nematzadeh arXiv preprint arXiv:2211.08371, 2022 | 19* | 2022 |
| A closer look at the performance of neural language models on reflexive anaphor licensing J Hu, SY Chen, R Levy Proceedings of the Society for Computation in Linguistics 2020, 323-333, 2020 | 15 | 2020 |
| [TACL] Expectations over unspoken alternatives predict pragmatic inferences J Hu, R Levy, J Degen, S Schuster The 61st Annual Meeting Of The Association For Computational Linguistics, 2023 | 14* | 2023 |
| Language models align with human judgments on key grammatical constructions J Hu, K Mahowald, G Lupyan, A Ivanova, R Levy Proceedings of the National Academy of Sciences 121 (36), e2400917121, 2024 | 11 | 2024 |
| Auxiliary task demands mask the capabilities of smaller language models J Hu, MC Frank arXiv preprint arXiv:2404.02418, 2024 | 11 | 2024 |
| Generating bilingual pragmatic color references W Monroe, J Hu, A Jong, C Potts arXiv preprint arXiv:1803.03917, 2018 | 11 | 2018 |
| Predicting scalar diversity with context-driven uncertainty over alternatives J Hu, R Levy, S Schuster Association for Computational Linguistics (ACL), 2022 | 9 | 2022 |
| Learning syntactic structures from string input EG Wilcox, J Gauthier, J Hu, P Qian, R Levy Algebraic Structures in Natural Language, 113-138, 2022 | 8 | 2022 |
| Teasing apart models of pragmatics using optimal reference game design I Zhou, J Hu, R Levy, N Zaslavsky Proceedings of the annual meeting of the cognitive science society 44 (44), 2022 | 5 | 2022 |
| Scalable pragmatic communication via self-supervision J Hu, R Levy, N Zaslavsky arXiv preprint arXiv:2108.05799, 2021 | 4 | 2021 |
| Elements of World Knowledge (EWOK): A cognition-inspired framework for evaluating basic world knowledge in language models AA Ivanova, A Sathe, B Lipkin, U Kumar, S Radkani, TH Clark, C Kauf, ... arXiv preprint arXiv:2405.09605, 2024 | 1 | 2024 |
| Neural language models and human linguistic knowledge J Hu Massachusetts Institute of Technology, 2023 | 1 | 2023 |
Roger LevyProfessor of Brain & Cognitive Sciences, MITVerified email at mit.edu
