Brian Lester
Brian Lester
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Zitiert von
Zitiert von
The power of scale for parameter-efficient prompt tuning
B Lester, R Al-Rfou, N Constant
arXiv preprint arXiv:2104.08691, 2021
Finetuned language models are zero-shot learners
J Wei, M Bosma, VY Zhao, K Guu, AW Yu, B Lester, N Du, AM Dai, QV Le
arXiv preprint arXiv:2109.01652, 2021
Spot: Better frozen model adaptation through soft prompt transfer
T Vu, B Lester, N Constant, R Al-Rfou, D Cer
arXiv preprint arXiv:2110.07904, 2021
Scaling up models and data with t5x and seqio
A Roberts, HW Chung, G Mishra, A Levskaya, J Bradbury, D Andor, ...
Journal of Machine Learning Research 24 (377), 1-8, 2023
An Effective Label Noise Model for DNN Text Classification
I Jindal, D Pressel, B Lester, M Nokleby
Proceedings of the 2019 Conference of the North American Chapter of the …, 2019
Overcoming catastrophic forgetting in zero-shot cross-lingual generation
T Vu, A Barua, B Lester, D Cer, M Iyyer, N Constant
arXiv preprint arXiv:2205.12647, 2022
Baseline: A library for rapid modeling, experimentation and development of deep learning algorithms targeting nlp
D Pressel, SR Choudhury, B Lester, Y Zhao, M Barta
Proceedings of Workshop for NLP Open Source Software (NLP-OSS), 34-40, 2018
Reducing retraining by recycling parameter-efficient prompts
B Lester, J Yurtsever, S Shakeri, N Constant
arXiv preprint arXiv:2208.05577, 2022
Multiple Word Embeddings for Increased Diversity of Representation
B Lester, D Pressel, A Hemmeter, SR Choudhury, S Bangalore
arXiv preprint arXiv:2009.14394, 2020
Git-theta: A git extension for collaborative development of machine learning models
N Kandpal, B Lester, M Muqeeth, A Mascarenhas, M Evans, V Baskaran, ...
International Conference on Machine Learning, 15708-15719, 2023
iobes: A Library for Span-Level Processing
B Lester
Proceedings of Second Workshop for NLP Open Source Software (NLP-OSS), 115-119, 2020
Constrained Decoding for Computationally Efficient Named Entity Recognition Taggers
B Lester, D Pressel, A Hemmeter, SR Choudhury, S Bangalore
Proceedings of the 2020 Conference on Empirical Methods in Natural Language …, 2020
Parameter Efficient Prompt Tuning for Efficient Models at Scale
BD Lester, R Al-Rfou, N Constant
US Patent App. 17/718,738, 2023
Training LLMs over Neurally Compressed Text
B Lester, J Lee, A Alemi, J Pennington, A Roberts, J Sohl-Dickstein, ...
arXiv preprint arXiv:2404.03626, 2024
Dynamically Adjusting a Voice Recognition System
B Lester, SM Panainte
US Patent 9,984,688, 2018
Frozen Model Adaptation Through Soft Prompt Transfer
TT Vu, DM Cer, N Constant, BD Lester, R Al-Rfou
US Patent App. 17/863,840, 2024
Intent Features for Rich Natural Language Understanding
B Lester, SR Choudhury, R Prasad, S Bangalore
Proceedings of the 2021 Conference of the North American Chapter of the …, 2021
Leader: Prefixing a Length for Faster Word Vector Serialization
B Lester
arXiv preprint arXiv:2009.13699, 2020
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