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Brian Lester
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2020 – today
- 2024
- [i16]Brian Lester, Jaehoon Lee, Alex Alemi, Jeffrey Pennington, Adam Roberts, Jascha Sohl-Dickstein, Noah Constant:
Training LLMs over Neurally Compressed Text. CoRR abs/2404.03626 (2024) - [i15]Derek Tam, Yash Kant, Brian Lester, Igor Gilitschenski, Colin Raffel:
Realistic Evaluation of Model Merging for Compositional Generalization. CoRR abs/2409.18314 (2024) - 2023
- [j1]Adam Roberts, Hyung Won Chung, Gaurav Mishra, Anselm Levskaya, James Bradbury, Daniel Andor, Sharan Narang, Brian Lester, Colin Gaffney, Afroz Mohiuddin, Curtis Hawthorne, Aitor Lewkowycz, Alex Salcianu, Marc van Zee, Jacob Austin, Sebastian Goodman, Livio Baldini Soares, Haitang Hu, Sasha Tsvyashchenko, Aakanksha Chowdhery, Jasmijn Bastings, Jannis Bulian, Xavier Garcia, Jianmo Ni, Andrew Chen, Kathleen Kenealy, Kehang Han, Michelle Casbon, Jonathan H. Clark, Stephan Lee, Dan Garrette, James Lee-Thorp, Colin Raffel, Noam Shazeer, Marvin Ritter, Maarten Bosma, Alexandre Passos, Jeremy Maitin-Shepard, Noah Fiedel, Mark Omernick, Brennan Saeta, Ryan Sepassi, Alexander Spiridonov, Joshua Newlan, Andrea Gesmundo:
Scaling Up Models and Data with t5x and seqio. J. Mach. Learn. Res. 24: 377:1-377:8 (2023) - [c8]Nikhil Kandpal, Brian Lester, Mohammed Muqeeth, Anisha Mascarenhas, Monty Evans, Vishal Baskaran, Tenghao Huang, Haokun Liu, Colin Raffel:
Git-Theta: A Git Extension for Collaborative Development of Machine Learning Models. ICML 2023: 15708-15719 - [i14]Nikhil Kandpal, Brian Lester, Mohammed Muqeeth, Anisha Mascarenhas, Monty Evans, Vishal Baskaran, Tenghao Huang, Haokun Liu, Colin Raffel:
Git-Theta: A Git Extension for Collaborative Development of Machine Learning Models. CoRR abs/2306.04529 (2023) - [i13]Denielle Ricciardi, Tom Seidl, Brian Lester, Amanda Jones, Elizabeth Jones:
Bayesian Optimal Experimental Design for Constitutive Model Calibration. CoRR abs/2308.10702 (2023) - 2022
- [c7]Tu Vu, Brian Lester, Noah Constant, Rami Al-Rfou', Daniel Cer:
SPoT: Better Frozen Model Adaptation through Soft Prompt Transfer. ACL (1) 2022: 5039-5059 - [c6]Tu Vu, Aditya Barua, Brian Lester, Daniel Cer, Mohit Iyyer, Noah Constant:
Overcoming Catastrophic Forgetting in Zero-Shot Cross-Lingual Generation. EMNLP 2022: 9279-9300 - [c5]Jason Wei, Maarten Bosma, Vincent Y. Zhao, Kelvin Guu, Adams Wei Yu, Brian Lester, Nan Du, Andrew M. Dai, Quoc V. Le:
Finetuned Language Models are Zero-Shot Learners. ICLR 2022 - [i12]Adam Roberts, Hyung Won Chung, Anselm Levskaya, Gaurav Mishra, James Bradbury, Daniel Andor, Sharan Narang, Brian Lester, Colin Gaffney, Afroz Mohiuddin, Curtis Hawthorne, Aitor Lewkowycz, Alex Salcianu, Marc van Zee, Jacob Austin, Sebastian Goodman, Livio Baldini Soares, Haitang Hu, Sasha Tsvyashchenko, Aakanksha Chowdhery, Jasmijn Bastings, Jannis Bulian, Xavier Garcia, Jianmo Ni, Andrew Chen, Kathleen Kenealy, Jonathan H. Clark, Stephan Lee, Dan Garrette, James Lee-Thorp, Colin Raffel, Noam Shazeer, Marvin Ritter, Maarten Bosma, Alexandre Passos, Jeremy Maitin-Shepard, Noah Fiedel, Mark Omernick, Brennan Saeta, Ryan Sepassi, Alexander Spiridonov, Joshua Newlan, Andrea Gesmundo:
Scaling Up Models and Data with t5x and seqio. CoRR abs/2203.17189 (2022) - [i11]Tu Vu, Aditya Barua, Brian Lester, Daniel Cer, Mohit Iyyer, Noah Constant:
Overcoming Catastrophic Forgetting in Zero-Shot Cross-Lingual Generation. CoRR abs/2205.12647 (2022) - [i10]Brian Lester, Joshua Yurtsever, Siamak Shakeri, Noah Constant:
Reducing Retraining by Recycling Parameter-Efficient Prompts. CoRR abs/2208.05577 (2022) - 2021
- [c4]Brian Lester, Rami Al-Rfou, Noah Constant:
The Power of Scale for Parameter-Efficient Prompt Tuning. EMNLP (1) 2021: 3045-3059 - [c3]Brian Lester, Sagnik Ray Choudhury
, Rashmi Prasad, Srinivas Bangalore:
Intent Features for Rich Natural Language Understanding. NAACL-HLT (Industry Papers) 2021: 214-221 - [i9]Brian Lester, Rami Al-Rfou, Noah Constant:
The Power of Scale for Parameter-Efficient Prompt Tuning. CoRR abs/2104.08691 (2021) - [i8]Brian Lester, Sagnik Ray Choudhury, Rashmi Prasad, Srinivas Bangalore:
Intent Features for Rich Natural Language Understanding. CoRR abs/2104.08701 (2021) - [i7]Jason Wei, Maarten Bosma, Vincent Y. Zhao, Kelvin Guu, Adams Wei Yu, Brian Lester, Nan Du, Andrew M. Dai, Quoc V. Le:
Finetuned Language Models Are Zero-Shot Learners. CoRR abs/2109.01652 (2021) - [i6]Tu Vu, Brian Lester, Noah Constant, Rami Al-Rfou, Daniel Cer:
SPoT: Better Frozen Model Adaptation through Soft Prompt Transfer. CoRR abs/2110.07904 (2021) - 2020
- [c2]Brian Lester, Daniel Pressel, Amy Hemmeter, Sagnik Ray Choudhury
Constrained Decoding for Computationally Efficient Named Entity Recognition Taggers. EMNLP (Findings) 2020: 1841-1848 - [i5]Brian Lester:
Leader: Prefixing a Length for Faster Word Vector Serialization. CoRR abs/2009.13699 (2020) - [i4]Brian Lester, Daniel Pressel, Amy Hemmeter, Sagnik Ray Choudhury, Srinivas Bangalore:
Multiple Word Embeddings for Increased Diversity of Representation. CoRR abs/2009.14394 (2020) - [i3]Brian Lester, Daniel Pressel, Amy Hemmeter, Sagnik Ray Choudhury, Srinivas Bangalore:
Constrained Decoding for Computationally Efficient Named Entity Recognition Taggers. CoRR abs/2010.04362 (2020) - [i2]Brian Lester:
iobes: A Library for Span-Level Processing. CoRR abs/2010.04373 (2020)
2010 – 2019
- 2019
- [c1]Ishan Jindal
An Effective Label Noise Model for DNN Text Classification. NAACL-HLT (1) 2019: 3246-3256 - [i1]Ishan Jindal, Daniel Pressel, Brian Lester, Matthew S. Nokleby:
An Effective Label Noise Model for DNN Text Classification. CoRR abs/1903.07507 (2019)
Coauthor Index
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last updated on 2024-10-18 20:28 CEST by the dblp team
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