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Robert L Logan IV
Robert L Logan IV
Verified email at uci.edu - Homepage
Title
Cited by
Cited by
Year
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
12712020
Knowledge enhanced contextual word representations
ME Peters, M Neumann, RL Logan IV, R Schwartz, V Joshi, S Singh, ...
arXiv preprint arXiv:1909.04164, 2019
7282019
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
2202019
COVIDLies: Detecting COVID-19 misinformation on social media
T Hossain, RL Logan IV, A Ugarte, Y Matsubara, S Young, S Singh
Workshop on NLP for COVID-19 (Part 2) at EMNLP 2020, 2020
2102020
Impact of pretraining term frequencies on few-shot reasoning
Y Razeghi, RL Logan IV, M Gardner, S Singh
arXiv preprint arXiv:2202.07206, 2022
1632022
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
1512021
FRUIT: Faithfully reflecting updated information in text
RL Logan IV, A Passos, S Singh, MW Chang
arXiv preprint arXiv:2112.08634, 2021
282021
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
282019
Multimodal Attribute Extraction
RL Logan IV, S Humeau, S Singh
arXiv preprint arXiv:1711.11118, 2017
252017
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
162020
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
132021
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
122019
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
112023
Benchmarking scalable methods for streaming cross document entity coreference
RL Logan IV, A McCallum, S Singh, D Bikel
Proceedings of the 59th Annual Meeting of the Association for Computational …, 2021
102021
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
5
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
32022
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
32020
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
22022
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
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Articles 1–20