| Autoprompt: Eliciting knowledge from language models with automatically generated prompts T Shin, Y Razeghi, RL Logan IV, E Wallace, S Singh arXiv preprint arXiv:2010.15980, 2020 | 1487 | 2020 |
| Knowledge enhanced contextual word representations ME Peters, M Neumann, RL Logan IV, R Schwartz, V Joshi, S Singh, ... arXiv preprint arXiv:1909.04164, 2019 | 779 | 2019 |
| Barack's wife Hillary: Using knowledge-graphs for fact-aware language modeling RL Logan IV, NF Liu, ME Peters, M Gardner, S Singh arXiv preprint arXiv:1906.07241, 2019 | 227 | 2019 |
| COVIDLies: Detecting COVID-19 misinformation on social media T Hossain, RLL Iv, A Ugarte, Y Matsubara, S Young, S Singh Proceedings of the 1st Workshop on NLP for COVID-19 (Part 2) at EMNLP 2020, 2020 | 226 | 2020 |
| Impact of pretraining term frequencies on few-shot reasoning Y Razeghi, RL Logan IV, M Gardner, S Singh arXiv preprint arXiv:2202.07206, 2022 | 182 | 2022 |
| Cutting down on prompts and parameters: Simple few-shot learning with language models RL Logan IV, I Balažević, E Wallace, F Petroni, S Singh, S Riedel arXiv preprint arXiv:2106.13353, 2021 | 168 | 2021 |
| Detecting conversation topics in primary care office visits from transcripts of patient-provider interactions J Park, D Kotzias, P Kuo, RL Logan Iv, K Merced, S Singh, M Tanana, ... Journal of the American Medical Informatics Association 26 (12), 1493-1504, 2019 | 32 | 2019 |
| FRUIT: Faithfully reflecting updated information in text RL Logan IV, A Passos, S Singh, MW Chang arXiv preprint arXiv:2112.08634, 2021 | 31 | 2021 |
| Multimodal Attribute Extraction RL Logan IV, S Humeau, S Singh arXiv preprint arXiv:1711.11118, 2017 | 27 | 2017 |
| Active bayesian assessment of black-box classifiers D Ji, RL Logan, P Smyth, M Steyvers Proceedings of the AAAI Conference on Artificial Intelligence 35 (9), 7935-7944, 2021 | 16 | 2021 |
| Easy, reproducible and quality-controlled data collection with CROWDAQ Q Ning, H Wu, P Dasigi, D Dua, M Gardner, RL Logan IV, A Marasovic, ... arXiv preprint arXiv:2010.06694, 2020 | 15 | 2020 |
| Evaluating the generalisability of neural rumour verification models E Kochkina, T Hossain, RL Logan IV, M Arana-Catania, R Procter, ... Information Processing & Management 60 (1), 103116, 2023 | 13 | 2023 |
| PoMo: Generating entity-specific post-modifiers in context JS Kang, RL Logan IV, Z Chu, Y Chen, D Dua, K Gimpel, S Singh, ... arXiv preprint arXiv:1904.03111, 2019 | 13 | 2019 |
| Benchmarking scalable methods for streaming cross document entity coreference RL Logan IV, A McCallum, S Singh, DM Bikel Proceedings of the 59th Annual Meeting of the Association for Computational …, 2021 | 10 | 2021 |
| Kritzia Merced, Sameer Singh, Michael Tanana, Efi Karra Taniskidou, Jennifer Elston Lafata, David C Atkins, Ming Tai-Seale, Zac E Imel, and Padhraic Smyth. Detecting … J Park, D Kotzias, P Kuo, RL Logan IV Journal of the American Medical Informatics Association 26 (12), 1493-1504, 0 | 6 | |
| On importance sampling-based evaluation of latent language models RL Logan IV, M Gardner, S Singh Proceedings of the 58th Annual Meeting of the Association for Computational …, 2020 | 4 | 2020 |
| Continued pretraining for better zero-and few-shot promptability Z Wu, RL Logan IV, P Walsh, A Bhagia, D Groeneveld, S Singh, I Beltagy arXiv preprint arXiv:2210.10258, 2022 | 3 | 2022 |
| Snoopy: An online interface for exploring the effect of pretraining term frequencies on few-shot LM performance Y Razeghi, RSR Mekala, RL Logan Iv, M Gardner, S Singh Proceedings of the 2022 Conference on Empirical Methods in Natural Language …, 2022 | 2 | 2022 |
| Multi-View Source Ablation for Faithful Summarization S Cao, L Ma, D Lu, RL Logan IV, J Tetreault, A Jaimes Findings of the Association for Computational Linguistics: EACL 2023, 2029-2047, 2023 | | 2023 |
| Supplemental Material for “Active Bayesian Assessment of Black-Box Classifiers” D Ji, RL Logan IV, P Smyth, M Steyvers | | 2021 |
Sameer SinghAssociate Professor, UC Irvine在 uci.edu 的电子邮件经过验证
