| Palm 2 technical report R Anil, AM Dai, O Firat, M Johnson, D Lepikhin, A Passos, S Shakeri, ... arXiv preprint arXiv:2305.10403, 2023 | 775 | 2023 |
| Beyond the imitation game: Quantifying and extrapolating the capabilities of language models A Srivastava, A Rastogi, A Rao, AAM Shoeb, A Abid, A Fisch, AR Brown, ... arXiv preprint arXiv:2206.04615, 2022 | 729 | 2022 |
| Gemini: a family of highly capable multimodal models G Team, R Anil, S Borgeaud, Y Wu, JB Alayrac, J Yu, R Soricut, ... arXiv preprint arXiv:2312.11805, 2023 | 442 | 2023 |
| BLiMP: The benchmark of linguistic minimal pairs for English A Warstadt, A Parrish, H Liu, A Mohananey, W Peng, SF Wang, ... Transactions of the Association for Computational Linguistics 8, 377-392, 2020 | 330 | 2020 |
| BBQ: A hand-built bias benchmark for question answering A Parrish, A Chen, N Nangia, V Padmakumar, J Phang, J Thompson, ... arXiv preprint arXiv:2110.08193, 2021 | 126 | 2021 |
| Investigating BERT's knowledge of language: five analysis methods with NPIs A Warstadt, Y Cao, I Grosu, W Peng, H Blix, Y Nie, A Alsop, S Bordia, ... arXiv preprint arXiv:1909.02597, 2019 | 125 | 2019 |
| Dataperf: Benchmarks for data-centric ai development M Mazumder, C Banbury, X Yao, B Karlaš, W Gaviria Rojas, S Diamos, ... Advances in Neural Information Processing Systems 36, 2024 | 70 | 2024 |
| QuALITY: Question answering with long input texts, yes! RY Pang, A Parrish, N Joshi, N Nangia, J Phang, A Chen, V Padmakumar, ... arXiv preprint arXiv:2112.08608, 2021 | 61 | 2021 |
| Inverse Scaling: When Bigger Isn't Better IR McKenzie, A Lyzhov, M Pieler, A Parrish, A Mueller, A Prabhu, ... arXiv preprint arXiv:2306.09479, 2023 | 37 | 2023 |
| Does putting a linguist in the loop improve NLU data collection? A Parrish, W Huang, O Agha, SH Lee, N Nangia, A Warstadt, K Aggarwal, ... arXiv preprint arXiv:2104.07179, 2021 | 26 | 2021 |
| NOPE: A corpus of naturally-occurring presuppositions in English A Parrish, S Schuster, A Warstadt, O Agha, SH Lee, Z Zhao, SR Bowman, ... arXiv preprint arXiv:2109.06987, 2021 | 21 | 2021 |
| What do nlp researchers believe? results of the nlp community metasurvey J Michael, A Holtzman, A Parrish, A Mueller, A Wang, A Chen, D Madaan, ... arXiv preprint arXiv:2208.12852, 2022 | 18 | 2022 |
| Single-turn debate does not help humans answer hard reading-comprehension questions A Parrish, H Trivedi, E Perez, A Chen, N Nangia, J Phang, SR Bowman arXiv preprint arXiv:2204.05212, 2022 | 11 | 2022 |
| Dices dataset: Diversity in conversational ai evaluation for safety L Aroyo, A Taylor, M Diaz, C Homan, A Parrish, G Serapio-García, ... Advances in Neural Information Processing Systems 36, 2024 | 10 | 2024 |
| Two failures of self-consistency in the multi-step reasoning of llms A Chen, J Phang, A Parrish, V Padmakumar, C Zhao, SR Bowman, K Cho arXiv preprint arXiv:2305.14279, 2023 | 10 | 2023 |
| Conceptual combination in the LATL with and without syntactic composition A Parrish, L Pylkkänen Neurobiology of Language 3 (1), 46-66, 2022 | 10 | 2022 |
| Two-Turn Debate Doesn't Help Humans Answer Hard Reading Comprehension Questions A Parrish, H Trivedi, N Nangia, V Padmakumar, J Phang, AS Saimbhi, ... arXiv preprint arXiv:2210.10860, 2022 | 4 | 2022 |
| DMLR: Data-centric Machine Learning Research--Past, Present and Future L Oala, M Maskey, L Bat-Leah, A Parrish, NM Gürel, TS Kuo, Y Liu, R Dror, ... arXiv preprint arXiv:2311.13028, 2023 | 3 | 2023 |
| Adversarial nibbler: A data-centric challenge for improving the safety of text-to-image models A Parrish, HR Kirk, J Quaye, C Rastogi, M Bartolo, O Inel, J Ciro, ... arXiv preprint arXiv:2305.14384, 2023 | 3 | 2023 |
| " Is a picture of a bird a bird": Policy recommendations for dealing with ambiguity in machine vision models A Parrish, S Laszlo, L Aroyo arXiv preprint arXiv:2306.15777, 2023 | 2 | 2023 |
