متابعة
Luke Zettlemoyer
Luke Zettlemoyer
University of Washington; Meta
بريد إلكتروني تم التحقق منه على cs.washington.edu - الصفحة الرئيسية
عنوان
عدد مرات الاقتباسات
عدد مرات الاقتباسات
السنة
Roberta: A robustly optimized bert pretraining approach‏
Y Liu, M Ott, N Goyal, J Du, M Joshi, D Chen, O Levy, M Lewis, ...‏
arXiv preprint arXiv:1907.11692, 2019‏
32186*2019
Deep contextualized word representations‏
ME Peters, M Neumann, M Iyyer, M Gardner, C Clark, K Lee, ...‏
NAACL, 2018‏
16752*2018
Bart: Denoising sequence-to-sequence pre-training for natural language generation, translation, and comprehension‏
M Lewis, Y Liu, N Goyal, M Ghazvininejad, A Mohamed, O Levy, ...‏
arXiv preprint arXiv:1910.13461, 2019‏
122322019
Unsupervised cross-lingual representation learning at scale‏
A Conneau, K Khandelwal, N Goyal, V Chaudhary, G Wenzek, F Guzmán, ...‏
arXiv preprint arXiv:1911.02116, 2019‏
70602019
Opt: Open pre-trained transformer language models‏
S Zhang, S Roller, N Goyal, M Artetxe, M Chen, S Chen, C Dewan, ...‏
arXiv preprint arXiv:2205.01068, 2022‏
3794*2022
Qlora: Efficient finetuning of quantized llms‏
T Dettmers, A Pagnoni, A Holtzman, L Zettlemoyer‏
Advances in neural information processing systems 36, 10088-10115, 2023‏
26202023
Triviaqa: A large scale distantly supervised challenge dataset for reading comprehension‏
M Joshi, E Choi, DS Weld, L Zettlemoyer‏
arXiv preprint arXiv:1705.03551, 2017‏
25422017
Spanbert: Improving pre-training by representing and predicting spans‏
M Joshi, D Chen, Y Liu, DS Weld, L Zettlemoyer, O Levy‏
Transactions of the association for computational linguistics 8, 64-77, 2020‏
23352020
Multilingual denoising pre-training for neural machine translation‏
Y Liu, J Gu, N Goyal, X Li, S Edunov, M Ghazvininejad, M Lewis, ...‏
Transactions of the Association for Computational Linguistics 8, 726-742, 2020‏
19782020
Toolformer: Language models can teach themselves to use tools‏
T Schick, J Dwivedi-Yu, R Dessì, R Raileanu, M Lomeli, E Hambro, ...‏
Advances in Neural Information Processing Systems 36, 68539-68551, 2023‏
15572023
Allennlp: A deep semantic natural language processing platform‏
M Gardner, J Grus, M Neumann, O Tafjord, P Dasigi, N Liu, M Peters, ...‏
arXiv preprint arXiv:1803.07640, 2018‏
14632018
Rethinking the role of demonstrations: What makes in-context learning work?‏
S Min, X Lyu, A Holtzman, M Artetxe, M Lewis, H Hajishirzi, L Zettlemoyer‏
arXiv preprint arXiv:2202.12837, 2022‏
13242022
Knowledge-based weak supervision for information extraction of overlapping relations‏
R Hoffmann, C Zhang, X Ling, L Zettlemoyer, DS Weld‏
Proceedings of the 49th annual meeting of the association for computational …, 2011‏
12582011
End-to-end neural coreference resolution‏
K Lee, L He, M Lewis, L Zettlemoyer‏
arXiv preprint arXiv:1707.07045, 2017‏
12122017
Learning to map sentences to logical form: Structured classification with probabilistic categorial grammars‏
LS Zettlemoyer, M Collins‏
Conference on Uncertainty in Artificial Intelligence (UAI), 2005‏
1172*2005
Gpt3. int8 (): 8-bit matrix multiplication for transformers at scale‏
T Dettmers, M Lewis, Y Belkada, L Zettlemoyer‏
Advances in neural information processing systems 35, 30318-30332, 2022‏
10292022
Lima: Less is more for alignment‏
C Zhou, P Liu, P Xu, S Iyer, J Sun, Y Mao, X Ma, A Efrat, P Yu, L Yu, ...‏
Advances in Neural Information Processing Systems 36, 55006-55021, 2023‏
9982023
QuAC: Question answering in context‏
E Choi, H He, M Iyyer, M Yatskar, W Yih, Y Choi, P Liang, L Zettlemoyer‏
arXiv preprint arXiv:1808.07036, 2018‏
9822018
Generalization through memorization: Nearest neighbor language models‏
U Khandelwal, O Levy, D Jurafsky, L Zettlemoyer, M Lewis‏
arXiv preprint arXiv:1911.00172, 2019‏
8842019
Summarizing source code using a neural attention model‏
S Iyer, I Konstas, A Cheung, L Zettlemoyer‏
54th Annual Meeting of the Association for Computational Linguistics 2016 …, 2016‏
8842016
يتعذر على النظام إجراء العملية في الوقت الحالي. عاود المحاولة لاحقًا.
مقالات 1–20