Julian Michael
Cited by
Cited by
GLUE: A multi-task benchmark and analysis platform for natural language understanding
A Wang, A Singh, J Michael, F Hill, O Levy, SR Bowman
Proceedings of the 7th annual International Conference on Learning …, 2019
Superglue: A stickier benchmark for general-purpose language understanding systems
A Wang, Y Pruksachatkun, N Nangia, A Singh, J Michael, F Hill, O Levy, ...
Advances in neural information processing systems 32, 2019
Supervised open information extraction
G Stanovsky, J Michael, L Zettlemoyer, I Dagan
Proceedings of the 2018 Conference of the North American Chapter of the …, 2018
AmbigQA: Answering ambiguous open-domain questions
S Min, J Michael, H Hajishirzi, L Zettlemoyer
arXiv preprint arXiv:2004.10645, 2020
Language models don't always say what they think: unfaithful explanations in chain-of-thought prompting
M Turpin, J Michael, E Perez, S Bowman
Advances in Neural Information Processing Systems 36, 2024
Large-scale QA-SRL parsing
N FitzGerald, J Michael, L He, L Zettlemoyer
Proceedings of the 56th Annual Meeting of the Association for Computational …, 2018
Crowdsourcing question-answer meaning representations
J Michael, G Stanovsky, L He, I Dagan, L Zettlemoyer
Proceedings of the 16th Annual Conference of the North American Chapter of …, 2018
Prompting contrastive explanations for commonsense reasoning tasks
B Paranjape, J Michael, M Ghazvininejad, L Zettlemoyer, H Hajishirzi
arXiv preprint arXiv:2106.06823, 2021
The winograd schema challenge and reasoning about correlation
D Bailey, AJ Harrison, Y Lierler, V Lifschitz, J Michael
2015 AAAI Spring Symposium Series, 2015
Controlled crowdsourcing for high-quality QA-SRL annotation
P Roit, A Klein, D Stepanov, J Mamou, J Michael, G Stanovsky, ...
arXiv preprint arXiv:1911.03243, 2019
Asking without telling: Exploring latent ontologies in contextual representations
J Michael, JA Botha, I Tenney
arXiv preprint arXiv:2004.14513, 2020
We're afraid language models aren't modeling ambiguity
A Liu, Z Wu, J Michael, A Suhr, P West, A Koller, S Swayamdipta, ...
arXiv preprint arXiv:2304.14399, 2023
Human-in-the-loop parsing
L He, J Michael, M Lewis, L Zettlemoyer
Proceedings of the 2016 Conference on Empirical Methods in Natural Language …, 2016
Nearest neighbor zero-shot inference
W Shi, J Michael, S Gururangan, L Zettlemoyer
Proceedings of the 2022 Conference on Empirical Methods in Natural Language …, 2022
Asking it all: Generating contextualized questions for any semantic role
V Pyatkin, P Roit, J Michael, R Tsarfaty, Y Goldberg, I Dagan
arXiv preprint arXiv:2109.04832, 2021
Gpqa: A graduate-level google-proof q&a benchmark
D Rein, BL Hou, AC Stickland, J Petty, RY Pang, J Dirani, J Michael, ...
arXiv preprint arXiv:2311.12022, 2023
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
Debate helps supervise unreliable experts
J Michael, S Mahdi, D Rein, J Petty, J Dirani, V Padmakumar, ...
arXiv preprint arXiv:2311.08702, 2023
Eliciting language model behaviors using reverse language models
J Pfau, A Infanger, A Sheshadri, A Panda, J Michael, C Huebner
Socially Responsible Language Modelling Research, 2023
Inducing semantic roles without syntax
J Michael, L Zettlemoyer
Findings of the Association for Computational Linguistics: ACL-IJCNLP 2021 …, 2021
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